#hydrography — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #hydrography, aggregated by home.social.
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Modeling Flood Susceptibility Utilizing Advanced Ensemble Machine Learning Techniques in the Marand Plain [Iran]
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https://doi.org/10.3390/geosciences15030110 <-- shared paper
--
H/T @Geosciences MDPI
“This study applies advanced machine learning algorithms to map flood susceptibility in northwest Iran. The results demonstrate strong predictive performance, with the Locally Weighted Linear model delivering the highest accuracy and providing valuable guidance for flood-risk management and disaster mitigation…”
--
“Flooding is one of the most significant natural hazards in Iran, primarily due to the country’s arid and semi-arid climate, irregular rainfall patterns, and substantial changes in watershed conditions. These factors combine to make floods a frequent cause of disasters. In this case study, flood susceptibility patterns in the Marand Plain, located in the East Azerbaijan Province in northwest Iran, were analyzed using five machine learning (ML) algorithms: M5P model tree, Random SubSpace (RSS), Random Forest (RF), Bagging, and Locally Weighted Linear (LWL). The modeling process incorporated twelve meteorological, hydrological, and geographical factors affecting floods at 485 identified flood-prone points. The data were analyzed using a geographic information system, with the dataset divided into 70% for training and 30% for testing to build and validate the models. An information gain ratio and multicollinearity analysis were employed to assess the influence of various factors on flood occurrence, and flood-related variables were classified using quantile classification. The frequency ratio method was used to evaluate the significance of each factor. Model performance was evaluated using statistical measures, including the Receiver Operating Characteristic (ROC) curve. All models demonstrated robust performance, with an area under the ROC curve (AUROC) exceeding 0.90. Among the models, the LWL algorithm delivered the most accurate predictions, followed by RF, M5P, Bagging, and RSS. The LWL-generated flood susceptibility map classified 9.79% of the study area as highly susceptible to flooding, 20.73% as high, 38.51% as moderate, 29.23% as low, and 1.74% as very low. The findings of this research provide valuable insights for government agencies, local authorities, and policymakers in designing strategies to mitigate flood-related risks. This study offers a practical framework for reducing the impact of future floods through informed decision-making and risk management strategies…”
#FloodSusceptibility #FloodRisk #MachineLearning #GIS #NaturalHazards #DisasterManagement #FloodModeling #Hydrology #EnvironmentalMonitoring #RiskAssessment #GeospatialAnalysis #ClimateResilience #GIS #spatial #mapping #Iran #MarandPlain #EastAzerbaijan #machinelearning #AI #floodhazard #floodvulnerability #flood #flooding #water #hydrography #hydrology #model #modeling #risk #hazard #rainfall #precipitation #extremeweather #spatialanalysis #spatiotemporal #modelperformance #policy #planning #mitigation #design #riskmanagement -
Modeling Flood Susceptibility Utilizing Advanced Ensemble Machine Learning Techniques in the Marand Plain [Iran]
--
https://doi.org/10.3390/geosciences15030110 <-- shared paper
--
H/T @Geosciences MDPI
“This study applies advanced machine learning algorithms to map flood susceptibility in northwest Iran. The results demonstrate strong predictive performance, with the Locally Weighted Linear model delivering the highest accuracy and providing valuable guidance for flood-risk management and disaster mitigation…”
--
“Flooding is one of the most significant natural hazards in Iran, primarily due to the country’s arid and semi-arid climate, irregular rainfall patterns, and substantial changes in watershed conditions. These factors combine to make floods a frequent cause of disasters. In this case study, flood susceptibility patterns in the Marand Plain, located in the East Azerbaijan Province in northwest Iran, were analyzed using five machine learning (ML) algorithms: M5P model tree, Random SubSpace (RSS), Random Forest (RF), Bagging, and Locally Weighted Linear (LWL). The modeling process incorporated twelve meteorological, hydrological, and geographical factors affecting floods at 485 identified flood-prone points. The data were analyzed using a geographic information system, with the dataset divided into 70% for training and 30% for testing to build and validate the models. An information gain ratio and multicollinearity analysis were employed to assess the influence of various factors on flood occurrence, and flood-related variables were classified using quantile classification. The frequency ratio method was used to evaluate the significance of each factor. Model performance was evaluated using statistical measures, including the Receiver Operating Characteristic (ROC) curve. All models demonstrated robust performance, with an area under the ROC curve (AUROC) exceeding 0.90. Among the models, the LWL algorithm delivered the most accurate predictions, followed by RF, M5P, Bagging, and RSS. The LWL-generated flood susceptibility map classified 9.79% of the study area as highly susceptible to flooding, 20.73% as high, 38.51% as moderate, 29.23% as low, and 1.74% as very low. The findings of this research provide valuable insights for government agencies, local authorities, and policymakers in designing strategies to mitigate flood-related risks. This study offers a practical framework for reducing the impact of future floods through informed decision-making and risk management strategies…”
#FloodSusceptibility #FloodRisk #MachineLearning #GIS #NaturalHazards #DisasterManagement #FloodModeling #Hydrology #EnvironmentalMonitoring #RiskAssessment #GeospatialAnalysis #ClimateResilience #GIS #spatial #mapping #Iran #MarandPlain #EastAzerbaijan #machinelearning #AI #floodhazard #floodvulnerability #flood #flooding #water #hydrography #hydrology #model #modeling #risk #hazard #rainfall #precipitation #extremeweather #spatialanalysis #spatiotemporal #modelperformance #policy #planning #mitigation #design #riskmanagement -
Modeling Flood Susceptibility Utilizing Advanced Ensemble Machine Learning Techniques in the Marand Plain [Iran]
--
https://doi.org/10.3390/geosciences15030110 <-- shared paper
--
H/T @Geosciences MDPI
“This study applies advanced machine learning algorithms to map flood susceptibility in northwest Iran. The results demonstrate strong predictive performance, with the Locally Weighted Linear model delivering the highest accuracy and providing valuable guidance for flood-risk management and disaster mitigation…”
--
“Flooding is one of the most significant natural hazards in Iran, primarily due to the country’s arid and semi-arid climate, irregular rainfall patterns, and substantial changes in watershed conditions. These factors combine to make floods a frequent cause of disasters. In this case study, flood susceptibility patterns in the Marand Plain, located in the East Azerbaijan Province in northwest Iran, were analyzed using five machine learning (ML) algorithms: M5P model tree, Random SubSpace (RSS), Random Forest (RF), Bagging, and Locally Weighted Linear (LWL). The modeling process incorporated twelve meteorological, hydrological, and geographical factors affecting floods at 485 identified flood-prone points. The data were analyzed using a geographic information system, with the dataset divided into 70% for training and 30% for testing to build and validate the models. An information gain ratio and multicollinearity analysis were employed to assess the influence of various factors on flood occurrence, and flood-related variables were classified using quantile classification. The frequency ratio method was used to evaluate the significance of each factor. Model performance was evaluated using statistical measures, including the Receiver Operating Characteristic (ROC) curve. All models demonstrated robust performance, with an area under the ROC curve (AUROC) exceeding 0.90. Among the models, the LWL algorithm delivered the most accurate predictions, followed by RF, M5P, Bagging, and RSS. The LWL-generated flood susceptibility map classified 9.79% of the study area as highly susceptible to flooding, 20.73% as high, 38.51% as moderate, 29.23% as low, and 1.74% as very low. The findings of this research provide valuable insights for government agencies, local authorities, and policymakers in designing strategies to mitigate flood-related risks. This study offers a practical framework for reducing the impact of future floods through informed decision-making and risk management strategies…”
#FloodSusceptibility #FloodRisk #MachineLearning #GIS #NaturalHazards #DisasterManagement #FloodModeling #Hydrology #EnvironmentalMonitoring #RiskAssessment #GeospatialAnalysis #ClimateResilience #GIS #spatial #mapping #Iran #MarandPlain #EastAzerbaijan #machinelearning #AI #floodhazard #floodvulnerability #flood #flooding #water #hydrography #hydrology #model #modeling #risk #hazard #rainfall #precipitation #extremeweather #spatialanalysis #spatiotemporal #modelperformance #policy #planning #mitigation #design #riskmanagement -
Modeling Flood Susceptibility Utilizing Advanced Ensemble Machine Learning Techniques in the Marand Plain [Iran]
--
https://doi.org/10.3390/geosciences15030110 <-- shared paper
--
H/T @Geosciences MDPI
“This study applies advanced machine learning algorithms to map flood susceptibility in northwest Iran. The results demonstrate strong predictive performance, with the Locally Weighted Linear model delivering the highest accuracy and providing valuable guidance for flood-risk management and disaster mitigation…”
--
“Flooding is one of the most significant natural hazards in Iran, primarily due to the country’s arid and semi-arid climate, irregular rainfall patterns, and substantial changes in watershed conditions. These factors combine to make floods a frequent cause of disasters. In this case study, flood susceptibility patterns in the Marand Plain, located in the East Azerbaijan Province in northwest Iran, were analyzed using five machine learning (ML) algorithms: M5P model tree, Random SubSpace (RSS), Random Forest (RF), Bagging, and Locally Weighted Linear (LWL). The modeling process incorporated twelve meteorological, hydrological, and geographical factors affecting floods at 485 identified flood-prone points. The data were analyzed using a geographic information system, with the dataset divided into 70% for training and 30% for testing to build and validate the models. An information gain ratio and multicollinearity analysis were employed to assess the influence of various factors on flood occurrence, and flood-related variables were classified using quantile classification. The frequency ratio method was used to evaluate the significance of each factor. Model performance was evaluated using statistical measures, including the Receiver Operating Characteristic (ROC) curve. All models demonstrated robust performance, with an area under the ROC curve (AUROC) exceeding 0.90. Among the models, the LWL algorithm delivered the most accurate predictions, followed by RF, M5P, Bagging, and RSS. The LWL-generated flood susceptibility map classified 9.79% of the study area as highly susceptible to flooding, 20.73% as high, 38.51% as moderate, 29.23% as low, and 1.74% as very low. The findings of this research provide valuable insights for government agencies, local authorities, and policymakers in designing strategies to mitigate flood-related risks. This study offers a practical framework for reducing the impact of future floods through informed decision-making and risk management strategies…”
#FloodSusceptibility #FloodRisk #MachineLearning #GIS #NaturalHazards #DisasterManagement #FloodModeling #Hydrology #EnvironmentalMonitoring #RiskAssessment #GeospatialAnalysis #ClimateResilience #GIS #spatial #mapping #Iran #MarandPlain #EastAzerbaijan #machinelearning #AI #floodhazard #floodvulnerability #flood #flooding #water #hydrography #hydrology #model #modeling #risk #hazard #rainfall #precipitation #extremeweather #spatialanalysis #spatiotemporal #modelperformance #policy #planning #mitigation #design #riskmanagement -
Modeling Flood Susceptibility Utilizing Advanced Ensemble Machine Learning Techniques in the Marand Plain [Iran]
--
https://doi.org/10.3390/geosciences15030110 <-- shared paper
--
H/T @Geosciences MDPI
“This study applies advanced machine learning algorithms to map flood susceptibility in northwest Iran. The results demonstrate strong predictive performance, with the Locally Weighted Linear model delivering the highest accuracy and providing valuable guidance for flood-risk management and disaster mitigation…”
--
“Flooding is one of the most significant natural hazards in Iran, primarily due to the country’s arid and semi-arid climate, irregular rainfall patterns, and substantial changes in watershed conditions. These factors combine to make floods a frequent cause of disasters. In this case study, flood susceptibility patterns in the Marand Plain, located in the East Azerbaijan Province in northwest Iran, were analyzed using five machine learning (ML) algorithms: M5P model tree, Random SubSpace (RSS), Random Forest (RF), Bagging, and Locally Weighted Linear (LWL). The modeling process incorporated twelve meteorological, hydrological, and geographical factors affecting floods at 485 identified flood-prone points. The data were analyzed using a geographic information system, with the dataset divided into 70% for training and 30% for testing to build and validate the models. An information gain ratio and multicollinearity analysis were employed to assess the influence of various factors on flood occurrence, and flood-related variables were classified using quantile classification. The frequency ratio method was used to evaluate the significance of each factor. Model performance was evaluated using statistical measures, including the Receiver Operating Characteristic (ROC) curve. All models demonstrated robust performance, with an area under the ROC curve (AUROC) exceeding 0.90. Among the models, the LWL algorithm delivered the most accurate predictions, followed by RF, M5P, Bagging, and RSS. The LWL-generated flood susceptibility map classified 9.79% of the study area as highly susceptible to flooding, 20.73% as high, 38.51% as moderate, 29.23% as low, and 1.74% as very low. The findings of this research provide valuable insights for government agencies, local authorities, and policymakers in designing strategies to mitigate flood-related risks. This study offers a practical framework for reducing the impact of future floods through informed decision-making and risk management strategies…”
#FloodSusceptibility #FloodRisk #MachineLearning #GIS #NaturalHazards #DisasterManagement #FloodModeling #Hydrology #EnvironmentalMonitoring #RiskAssessment #GeospatialAnalysis #ClimateResilience #GIS #spatial #mapping #Iran #MarandPlain #EastAzerbaijan #machinelearning #AI #floodhazard #floodvulnerability #flood #flooding #water #hydrography #hydrology #model #modeling #risk #hazard #rainfall #precipitation #extremeweather #spatialanalysis #spatiotemporal #modelperformance #policy #planning #mitigation #design #riskmanagement -
[Open] Data Related To Flood Mapping [Canada]
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https://natural-resources.canada.ca/science-data/science-research/natural-hazards/flood-mapping/data-related-flood-mapping <-- shared link to technical details
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https://app.geo.ca/en-ca/map-browser/record/a13a2575-5bda-4bfd-a9b1-5bd2dd583f09 <-- shared map/data-portal link, Canada Flood Map Inventory (CFM)
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https://open.canada.ca/data/en/dataset/1074f781-85d3-4c86-86cb-fd1c339197dc <-- shared data-portal link, Canada Flood Susceptibility Index
--
https://doi.org/10.3390/ECWS-7-14235 <-- shared (2023) paper
--
https://doi.org/10.1002/2017WR020917 <-- shared (2017) paper
--
H/T @Michael DePue | VP & AtkinsRéalis Fellow for Water Resources Engineering | PE, PMP, CFM
“At the Canadian Water Resources Association National Conference in Winnipeg, colleagues shared insights from Canada's Flood Hazard Identification and Mapping Program. This initiative has seen over 400 flood mapping projects and more than 1,000 flood hazard maps produced, supported by a substantial investment of $164.2 million from 2024 to 2028.
Two key datasets:
• The Canada Flood Map Inventory, which records the locations of flood hazard maps and provides information on how to access them.
• The national Flood Susceptibility Index, a machine-learning assessment of flood-prone areas, including regions that have not been mapped in detail.
When these two layers are combined on a single screen, it becomes clear where future mapping efforts should be directed — specifically, areas with high susceptibility that currently lack detailed maps…”
#water #hydrography #flood #flooding #risk #hazard #model #modeling #fedscience #publicsafety #humaninpacts #opendata #Canada #GIS #spatial #mapping #damage #infrastructure #floodmapping #prediction #spatialanalysis #spatiotemporal #historic #current #future #preduction #extremeweather #metrology #rainfall #precipitation #atmosphericriver #FloodMapInventory #CFM #floodhazard #FloodSusceptibilityIndex #floodprone #research #susceptibility
@NRCAN -
[Open] Data Related To Flood Mapping [Canada]
--
https://natural-resources.canada.ca/science-data/science-research/natural-hazards/flood-mapping/data-related-flood-mapping <-- shared link to technical details
--
https://app.geo.ca/en-ca/map-browser/record/a13a2575-5bda-4bfd-a9b1-5bd2dd583f09 <-- shared map/data-portal link, Canada Flood Map Inventory (CFM)
--
https://open.canada.ca/data/en/dataset/1074f781-85d3-4c86-86cb-fd1c339197dc <-- shared data-portal link, Canada Flood Susceptibility Index
--
https://doi.org/10.3390/ECWS-7-14235 <-- shared (2023) paper
--
https://doi.org/10.1002/2017WR020917 <-- shared (2017) paper
--
H/T @Michael DePue | VP & AtkinsRéalis Fellow for Water Resources Engineering | PE, PMP, CFM
“At the Canadian Water Resources Association National Conference in Winnipeg, colleagues shared insights from Canada's Flood Hazard Identification and Mapping Program. This initiative has seen over 400 flood mapping projects and more than 1,000 flood hazard maps produced, supported by a substantial investment of $164.2 million from 2024 to 2028.
Two key datasets:
• The Canada Flood Map Inventory, which records the locations of flood hazard maps and provides information on how to access them.
• The national Flood Susceptibility Index, a machine-learning assessment of flood-prone areas, including regions that have not been mapped in detail.
When these two layers are combined on a single screen, it becomes clear where future mapping efforts should be directed — specifically, areas with high susceptibility that currently lack detailed maps…”
#water #hydrography #flood #flooding #risk #hazard #model #modeling #fedscience #publicsafety #humaninpacts #opendata #Canada #GIS #spatial #mapping #damage #infrastructure #floodmapping #prediction #spatialanalysis #spatiotemporal #historic #current #future #preduction #extremeweather #metrology #rainfall #precipitation #atmosphericriver #FloodMapInventory #CFM #floodhazard #FloodSusceptibilityIndex #floodprone #research #susceptibility
@NRCAN -
[Open] Data Related To Flood Mapping [Canada]
--
https://natural-resources.canada.ca/science-data/science-research/natural-hazards/flood-mapping/data-related-flood-mapping <-- shared link to technical details
--
https://app.geo.ca/en-ca/map-browser/record/a13a2575-5bda-4bfd-a9b1-5bd2dd583f09 <-- shared map/data-portal link, Canada Flood Map Inventory (CFM)
--
https://open.canada.ca/data/en/dataset/1074f781-85d3-4c86-86cb-fd1c339197dc <-- shared data-portal link, Canada Flood Susceptibility Index
--
https://doi.org/10.3390/ECWS-7-14235 <-- shared (2023) paper
--
https://doi.org/10.1002/2017WR020917 <-- shared (2017) paper
--
H/T @Michael DePue | VP & AtkinsRéalis Fellow for Water Resources Engineering | PE, PMP, CFM
“At the Canadian Water Resources Association National Conference in Winnipeg, colleagues shared insights from Canada's Flood Hazard Identification and Mapping Program. This initiative has seen over 400 flood mapping projects and more than 1,000 flood hazard maps produced, supported by a substantial investment of $164.2 million from 2024 to 2028.
Two key datasets:
• The Canada Flood Map Inventory, which records the locations of flood hazard maps and provides information on how to access them.
• The national Flood Susceptibility Index, a machine-learning assessment of flood-prone areas, including regions that have not been mapped in detail.
When these two layers are combined on a single screen, it becomes clear where future mapping efforts should be directed — specifically, areas with high susceptibility that currently lack detailed maps…”
#water #hydrography #flood #flooding #risk #hazard #model #modeling #fedscience #publicsafety #humaninpacts #opendata #Canada #GIS #spatial #mapping #damage #infrastructure #floodmapping #prediction #spatialanalysis #spatiotemporal #historic #current #future #preduction #extremeweather #metrology #rainfall #precipitation #atmosphericriver #FloodMapInventory #CFM #floodhazard #FloodSusceptibilityIndex #floodprone #research #susceptibility
@NRCAN -
[Open] Data Related To Flood Mapping [Canada]
--
https://natural-resources.canada.ca/science-data/science-research/natural-hazards/flood-mapping/data-related-flood-mapping <-- shared link to technical details
--
https://app.geo.ca/en-ca/map-browser/record/a13a2575-5bda-4bfd-a9b1-5bd2dd583f09 <-- shared map/data-portal link, Canada Flood Map Inventory (CFM)
--
https://open.canada.ca/data/en/dataset/1074f781-85d3-4c86-86cb-fd1c339197dc <-- shared data-portal link, Canada Flood Susceptibility Index
--
https://doi.org/10.3390/ECWS-7-14235 <-- shared (2023) paper
--
https://doi.org/10.1002/2017WR020917 <-- shared (2017) paper
--
H/T @Michael DePue | VP & AtkinsRéalis Fellow for Water Resources Engineering | PE, PMP, CFM
“At the Canadian Water Resources Association National Conference in Winnipeg, colleagues shared insights from Canada's Flood Hazard Identification and Mapping Program. This initiative has seen over 400 flood mapping projects and more than 1,000 flood hazard maps produced, supported by a substantial investment of $164.2 million from 2024 to 2028.
Two key datasets:
• The Canada Flood Map Inventory, which records the locations of flood hazard maps and provides information on how to access them.
• The national Flood Susceptibility Index, a machine-learning assessment of flood-prone areas, including regions that have not been mapped in detail.
When these two layers are combined on a single screen, it becomes clear where future mapping efforts should be directed — specifically, areas with high susceptibility that currently lack detailed maps…”
#water #hydrography #flood #flooding #risk #hazard #model #modeling #fedscience #publicsafety #humaninpacts #opendata #Canada #GIS #spatial #mapping #damage #infrastructure #floodmapping #prediction #spatialanalysis #spatiotemporal #historic #current #future #preduction #extremeweather #metrology #rainfall #precipitation #atmosphericriver #FloodMapInventory #CFM #floodhazard #FloodSusceptibilityIndex #floodprone #research #susceptibility
@NRCAN -
[Open] Data Related To Flood Mapping [Canada]
--
https://natural-resources.canada.ca/science-data/science-research/natural-hazards/flood-mapping/data-related-flood-mapping <-- shared link to technical details
--
https://app.geo.ca/en-ca/map-browser/record/a13a2575-5bda-4bfd-a9b1-5bd2dd583f09 <-- shared map/data-portal link, Canada Flood Map Inventory (CFM)
--
https://open.canada.ca/data/en/dataset/1074f781-85d3-4c86-86cb-fd1c339197dc <-- shared data-portal link, Canada Flood Susceptibility Index
--
https://doi.org/10.3390/ECWS-7-14235 <-- shared (2023) paper
--
https://doi.org/10.1002/2017WR020917 <-- shared (2017) paper
--
H/T @Michael DePue | VP & AtkinsRéalis Fellow for Water Resources Engineering | PE, PMP, CFM
“At the Canadian Water Resources Association National Conference in Winnipeg, colleagues shared insights from Canada's Flood Hazard Identification and Mapping Program. This initiative has seen over 400 flood mapping projects and more than 1,000 flood hazard maps produced, supported by a substantial investment of $164.2 million from 2024 to 2028.
Two key datasets:
• The Canada Flood Map Inventory, which records the locations of flood hazard maps and provides information on how to access them.
• The national Flood Susceptibility Index, a machine-learning assessment of flood-prone areas, including regions that have not been mapped in detail.
When these two layers are combined on a single screen, it becomes clear where future mapping efforts should be directed — specifically, areas with high susceptibility that currently lack detailed maps…”
#water #hydrography #flood #flooding #risk #hazard #model #modeling #fedscience #publicsafety #humaninpacts #opendata #Canada #GIS #spatial #mapping #damage #infrastructure #floodmapping #prediction #spatialanalysis #spatiotemporal #historic #current #future #preduction #extremeweather #metrology #rainfall #precipitation #atmosphericriver #FloodMapInventory #CFM #floodhazard #FloodSusceptibilityIndex #floodprone #research #susceptibility
@NRCAN -
A National-Scale Database Of Groundwater Level Data For Switzerland
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https://doi.org/10.1038/s41597-026-07353-6 <-- shared paper
--
H/T @RaoulCollenteur | Groundwater Hydrologist at Collenteur HydroConsult GmbH
“Looking for a ready-to-use FAIR dataset with groundwater levels, signatures, and meteorological drivers to test new models and analysis methods to learn from groundwater level data? Why not try [the authors’] new Swiss Groundwater Database with almost 1,000 piezometers in diverse climatological and hydrogeological settings within Switzerland? 💡
💧 Long groundwater level time series with frequent measurements
💧 Meteorological drivers included
💧Unique dataset in terms of hydrogeological data in an alpine setting
… [They] hope [that they] can develop the database in the future with other variables (i.e., groundwater temperature, spring discharge, etc.) and welcome additions and collaborations to make this happen. 🌊…”
--
“Groundwater is a vital component of the global supply of freshwater, playing a critical role for human populations, agriculture, and ecosystems. Due to the complex interactions between groundwater, surface water, climate, and human activity, these systems are frequently studied using advanced data analysis and modeling techniques. The effectiveness of these methods is generally enhanced by the availability and quality of data. In Switzerland, the focus area of this study, groundwater data is fragmented and lacks a standardized nationwide compilation. Consequently, the process of conducting nationwide studies with substantial sample sizes is both resource-intensive and time-consuming. In this paper, [they] introduce the Swiss Groundwater Database, a comprehensive compilation of groundwater time series and associated metadata throughout Switzerland. The current database consists of groundwater level data from 985 monitoring wells, which were completed with additional static and time-varying variables. The environmental characteristics and climate indices were compiled and determined for each monitoring well. The database is designed to facilitate and support large-sample hydrological research related to groundwater in Switzerland and beyond…”
#water #hydrography #database #GIS #spatial #mapping #groundwater #Switzerland #FAIR #SwissGroundwaterDatabase #opendata #hydrogeology #meteorology #weather #climate #alpine #waterresources #agriculture #ecosystems #humanimpacts #spatialanalysis #spatiotemporal #model #modeling #dataanalysis #nationwide #metadata #monitoring #wells
@Federal Office for the Environment FOEN | @Federal Office of Meteorology and Climatology MeteoSwiss -
A National-Scale Database Of Groundwater Level Data For Switzerland
--
https://doi.org/10.1038/s41597-026-07353-6 <-- shared paper
--
H/T @RaoulCollenteur | Groundwater Hydrologist at Collenteur HydroConsult GmbH
“Looking for a ready-to-use FAIR dataset with groundwater levels, signatures, and meteorological drivers to test new models and analysis methods to learn from groundwater level data? Why not try [the authors’] new Swiss Groundwater Database with almost 1,000 piezometers in diverse climatological and hydrogeological settings within Switzerland? 💡
💧 Long groundwater level time series with frequent measurements
💧 Meteorological drivers included
💧Unique dataset in terms of hydrogeological data in an alpine setting
… [They] hope [that they] can develop the database in the future with other variables (i.e., groundwater temperature, spring discharge, etc.) and welcome additions and collaborations to make this happen. 🌊…”
--
“Groundwater is a vital component of the global supply of freshwater, playing a critical role for human populations, agriculture, and ecosystems. Due to the complex interactions between groundwater, surface water, climate, and human activity, these systems are frequently studied using advanced data analysis and modeling techniques. The effectiveness of these methods is generally enhanced by the availability and quality of data. In Switzerland, the focus area of this study, groundwater data is fragmented and lacks a standardized nationwide compilation. Consequently, the process of conducting nationwide studies with substantial sample sizes is both resource-intensive and time-consuming. In this paper, [they] introduce the Swiss Groundwater Database, a comprehensive compilation of groundwater time series and associated metadata throughout Switzerland. The current database consists of groundwater level data from 985 monitoring wells, which were completed with additional static and time-varying variables. The environmental characteristics and climate indices were compiled and determined for each monitoring well. The database is designed to facilitate and support large-sample hydrological research related to groundwater in Switzerland and beyond…”
#water #hydrography #database #GIS #spatial #mapping #groundwater #Switzerland #FAIR #SwissGroundwaterDatabase #opendata #hydrogeology #meteorology #weather #climate #alpine #waterresources #agriculture #ecosystems #humanimpacts #spatialanalysis #spatiotemporal #model #modeling #dataanalysis #nationwide #metadata #monitoring #wells
@Federal Office for the Environment FOEN | @Federal Office of Meteorology and Climatology MeteoSwiss -
A National-Scale Database Of Groundwater Level Data For Switzerland
--
https://doi.org/10.1038/s41597-026-07353-6 <-- shared paper
--
H/T @RaoulCollenteur | Groundwater Hydrologist at Collenteur HydroConsult GmbH
“Looking for a ready-to-use FAIR dataset with groundwater levels, signatures, and meteorological drivers to test new models and analysis methods to learn from groundwater level data? Why not try [the authors’] new Swiss Groundwater Database with almost 1,000 piezometers in diverse climatological and hydrogeological settings within Switzerland? 💡
💧 Long groundwater level time series with frequent measurements
💧 Meteorological drivers included
💧Unique dataset in terms of hydrogeological data in an alpine setting
… [They] hope [that they] can develop the database in the future with other variables (i.e., groundwater temperature, spring discharge, etc.) and welcome additions and collaborations to make this happen. 🌊…”
--
“Groundwater is a vital component of the global supply of freshwater, playing a critical role for human populations, agriculture, and ecosystems. Due to the complex interactions between groundwater, surface water, climate, and human activity, these systems are frequently studied using advanced data analysis and modeling techniques. The effectiveness of these methods is generally enhanced by the availability and quality of data. In Switzerland, the focus area of this study, groundwater data is fragmented and lacks a standardized nationwide compilation. Consequently, the process of conducting nationwide studies with substantial sample sizes is both resource-intensive and time-consuming. In this paper, [they] introduce the Swiss Groundwater Database, a comprehensive compilation of groundwater time series and associated metadata throughout Switzerland. The current database consists of groundwater level data from 985 monitoring wells, which were completed with additional static and time-varying variables. The environmental characteristics and climate indices were compiled and determined for each monitoring well. The database is designed to facilitate and support large-sample hydrological research related to groundwater in Switzerland and beyond…”
#water #hydrography #database #GIS #spatial #mapping #groundwater #Switzerland #FAIR #SwissGroundwaterDatabase #opendata #hydrogeology #meteorology #weather #climate #alpine #waterresources #agriculture #ecosystems #humanimpacts #spatialanalysis #spatiotemporal #model #modeling #dataanalysis #nationwide #metadata #monitoring #wells
@Federal Office for the Environment FOEN | @Federal Office of Meteorology and Climatology MeteoSwiss -
A National-Scale Database Of Groundwater Level Data For Switzerland
--
https://doi.org/10.1038/s41597-026-07353-6 <-- shared paper
--
H/T @RaoulCollenteur | Groundwater Hydrologist at Collenteur HydroConsult GmbH
“Looking for a ready-to-use FAIR dataset with groundwater levels, signatures, and meteorological drivers to test new models and analysis methods to learn from groundwater level data? Why not try [the authors’] new Swiss Groundwater Database with almost 1,000 piezometers in diverse climatological and hydrogeological settings within Switzerland? 💡
💧 Long groundwater level time series with frequent measurements
💧 Meteorological drivers included
💧Unique dataset in terms of hydrogeological data in an alpine setting
… [They] hope [that they] can develop the database in the future with other variables (i.e., groundwater temperature, spring discharge, etc.) and welcome additions and collaborations to make this happen. 🌊…”
--
“Groundwater is a vital component of the global supply of freshwater, playing a critical role for human populations, agriculture, and ecosystems. Due to the complex interactions between groundwater, surface water, climate, and human activity, these systems are frequently studied using advanced data analysis and modeling techniques. The effectiveness of these methods is generally enhanced by the availability and quality of data. In Switzerland, the focus area of this study, groundwater data is fragmented and lacks a standardized nationwide compilation. Consequently, the process of conducting nationwide studies with substantial sample sizes is both resource-intensive and time-consuming. In this paper, [they] introduce the Swiss Groundwater Database, a comprehensive compilation of groundwater time series and associated metadata throughout Switzerland. The current database consists of groundwater level data from 985 monitoring wells, which were completed with additional static and time-varying variables. The environmental characteristics and climate indices were compiled and determined for each monitoring well. The database is designed to facilitate and support large-sample hydrological research related to groundwater in Switzerland and beyond…”
#water #hydrography #database #GIS #spatial #mapping #groundwater #Switzerland #FAIR #SwissGroundwaterDatabase #opendata #hydrogeology #meteorology #weather #climate #alpine #waterresources #agriculture #ecosystems #humanimpacts #spatialanalysis #spatiotemporal #model #modeling #dataanalysis #nationwide #metadata #monitoring #wells
@Federal Office for the Environment FOEN | @Federal Office of Meteorology and Climatology MeteoSwiss -
A National-Scale Database Of Groundwater Level Data For Switzerland
--
https://doi.org/10.1038/s41597-026-07353-6 <-- shared paper
--
H/T @RaoulCollenteur | Groundwater Hydrologist at Collenteur HydroConsult GmbH
“Looking for a ready-to-use FAIR dataset with groundwater levels, signatures, and meteorological drivers to test new models and analysis methods to learn from groundwater level data? Why not try [the authors’] new Swiss Groundwater Database with almost 1,000 piezometers in diverse climatological and hydrogeological settings within Switzerland? 💡
💧 Long groundwater level time series with frequent measurements
💧 Meteorological drivers included
💧Unique dataset in terms of hydrogeological data in an alpine setting
… [They] hope [that they] can develop the database in the future with other variables (i.e., groundwater temperature, spring discharge, etc.) and welcome additions and collaborations to make this happen. 🌊…”
--
“Groundwater is a vital component of the global supply of freshwater, playing a critical role for human populations, agriculture, and ecosystems. Due to the complex interactions between groundwater, surface water, climate, and human activity, these systems are frequently studied using advanced data analysis and modeling techniques. The effectiveness of these methods is generally enhanced by the availability and quality of data. In Switzerland, the focus area of this study, groundwater data is fragmented and lacks a standardized nationwide compilation. Consequently, the process of conducting nationwide studies with substantial sample sizes is both resource-intensive and time-consuming. In this paper, [they] introduce the Swiss Groundwater Database, a comprehensive compilation of groundwater time series and associated metadata throughout Switzerland. The current database consists of groundwater level data from 985 monitoring wells, which were completed with additional static and time-varying variables. The environmental characteristics and climate indices were compiled and determined for each monitoring well. The database is designed to facilitate and support large-sample hydrological research related to groundwater in Switzerland and beyond…”
#water #hydrography #database #GIS #spatial #mapping #groundwater #Switzerland #FAIR #SwissGroundwaterDatabase #opendata #hydrogeology #meteorology #weather #climate #alpine #waterresources #agriculture #ecosystems #humanimpacts #spatialanalysis #spatiotemporal #model #modeling #dataanalysis #nationwide #metadata #monitoring #wells
@Federal Office for the Environment FOEN | @Federal Office of Meteorology and Climatology MeteoSwiss -
Unraveling The Drivers Of Water Shortage Across Spatial Scales And Sectors In Colorado's West Slope River Basins
--
https://doi.org/10.1029/2026EF008137 <-- shared paper
--
['sorry' about your Kentucky Bluegrass, almonds, etc... /s]
H/T Sai Veena Sunkara | Postdoctoral Associate
“…Colorado’s West Slope basins provide nearly 70% of the inflows to Lake Powell and are also essential to communities, agriculture, industry, hydropower, and downstream Colorado River users.
To examine the wide range of possible futures, [they] simulated 2.1 million years, defining 20,000 plausible scenarios applying changes to streamflow, snowmelt timing, drought persistence, and agricultural, municipal, and industrial water demand.
A key finding is that there is 𝗻𝗼 𝘀𝗶𝗻𝗴𝗹𝗲 𝗰𝗮𝘂𝘀𝗲 𝗼𝗳 𝗳𝘂𝘁𝘂𝗿𝗲 𝘄𝗮𝘁𝗲𝗿 𝘀𝗵𝗼𝗿𝘁𝗮𝗴𝗲𝘀. The most influential drivers vary by basin, sector, and water user. In some areas, shortages are driven primarily by persistent low-flow conditions or changing snowmelt timing. In others, increasing municipal, industrial, or irrigation demand plays a larger role. This suggests that adaptation strategies must be tailored to specific basins and users rather than relying on a single, system-wide solution. Other major findings are
• West Slope deliveries to Lake Powell could fall more than 50% below the current median baseline
• Storage in major West Slope reservoirs could decline 40–55% below historical medians
These results underscore the need for water-planning approaches that account for deep uncertainty, persistent drought, shifting snowmelt patterns, and sector-specific demand…”
#Colorado #waterallocation #StateMod #USWest #USA #WesternSlope #waterresources #watersecurity #watershortage #drought #snowmelt #rainfall #precipitation #riverbasin #water #hydrography #hydrology #reasons #agriculture #industry #hydropower #streamflow #surfacewater #municipal #irrigation #adaptationstrategies #planning #policy #mitigation #ColoradoRiver #basins #climatechange #extremeweather #populationpressure #waterdemand #waterrights #model #modeling #HiddenMarkovModel #stochastic #projecteddemand #ColoradoRiverBasin #wateruse #spatial #mapping #spatialanalysis #spatiotemporal #strategy -
Unraveling The Drivers Of Water Shortage Across Spatial Scales And Sectors In Colorado's West Slope River Basins
--
https://doi.org/10.1029/2026EF008137 <-- shared paper
--
['sorry' about your Kentucky Bluegrass, almonds, etc... /s]
H/T Sai Veena Sunkara | Postdoctoral Associate
“…Colorado’s West Slope basins provide nearly 70% of the inflows to Lake Powell and are also essential to communities, agriculture, industry, hydropower, and downstream Colorado River users.
To examine the wide range of possible futures, [they] simulated 2.1 million years, defining 20,000 plausible scenarios applying changes to streamflow, snowmelt timing, drought persistence, and agricultural, municipal, and industrial water demand.
A key finding is that there is 𝗻𝗼 𝘀𝗶𝗻𝗴𝗹𝗲 𝗰𝗮𝘂𝘀𝗲 𝗼𝗳 𝗳𝘂𝘁𝘂𝗿𝗲 𝘄𝗮𝘁𝗲𝗿 𝘀𝗵𝗼𝗿𝘁𝗮𝗴𝗲𝘀. The most influential drivers vary by basin, sector, and water user. In some areas, shortages are driven primarily by persistent low-flow conditions or changing snowmelt timing. In others, increasing municipal, industrial, or irrigation demand plays a larger role. This suggests that adaptation strategies must be tailored to specific basins and users rather than relying on a single, system-wide solution. Other major findings are
• West Slope deliveries to Lake Powell could fall more than 50% below the current median baseline
• Storage in major West Slope reservoirs could decline 40–55% below historical medians
These results underscore the need for water-planning approaches that account for deep uncertainty, persistent drought, shifting snowmelt patterns, and sector-specific demand…”
#Colorado #waterallocation #StateMod #USWest #USA #WesternSlope #waterresources #watersecurity #watershortage #drought #snowmelt #rainfall #precipitation #riverbasin #water #hydrography #hydrology #reasons #agriculture #industry #hydropower #streamflow #surfacewater #municipal #irrigation #adaptationstrategies #planning #policy #mitigation #ColoradoRiver #basins #climatechange #extremeweather #populationpressure #waterdemand #waterrights #model #modeling #HiddenMarkovModel #stochastic #projecteddemand #ColoradoRiverBasin #wateruse #spatial #mapping #spatialanalysis #spatiotemporal #strategy -
Unraveling The Drivers Of Water Shortage Across Spatial Scales And Sectors In Colorado's West Slope River Basins
--
https://doi.org/10.1029/2026EF008137 <-- shared paper
--
['sorry' about your Kentucky Bluegrass, almonds, etc... /s]
H/T Sai Veena Sunkara | Postdoctoral Associate
“…Colorado’s West Slope basins provide nearly 70% of the inflows to Lake Powell and are also essential to communities, agriculture, industry, hydropower, and downstream Colorado River users.
To examine the wide range of possible futures, [they] simulated 2.1 million years, defining 20,000 plausible scenarios applying changes to streamflow, snowmelt timing, drought persistence, and agricultural, municipal, and industrial water demand.
A key finding is that there is 𝗻𝗼 𝘀𝗶𝗻𝗴𝗹𝗲 𝗰𝗮𝘂𝘀𝗲 𝗼𝗳 𝗳𝘂𝘁𝘂𝗿𝗲 𝘄𝗮𝘁𝗲𝗿 𝘀𝗵𝗼𝗿𝘁𝗮𝗴𝗲𝘀. The most influential drivers vary by basin, sector, and water user. In some areas, shortages are driven primarily by persistent low-flow conditions or changing snowmelt timing. In others, increasing municipal, industrial, or irrigation demand plays a larger role. This suggests that adaptation strategies must be tailored to specific basins and users rather than relying on a single, system-wide solution. Other major findings are
• West Slope deliveries to Lake Powell could fall more than 50% below the current median baseline
• Storage in major West Slope reservoirs could decline 40–55% below historical medians
These results underscore the need for water-planning approaches that account for deep uncertainty, persistent drought, shifting snowmelt patterns, and sector-specific demand…”
#Colorado #waterallocation #StateMod #USWest #USA #WesternSlope #waterresources #watersecurity #watershortage #drought #snowmelt #rainfall #precipitation #riverbasin #water #hydrography #hydrology #reasons #agriculture #industry #hydropower #streamflow #surfacewater #municipal #irrigation #adaptationstrategies #planning #policy #mitigation #ColoradoRiver #basins #climatechange #extremeweather #populationpressure #waterdemand #waterrights #model #modeling #HiddenMarkovModel #stochastic #projecteddemand #ColoradoRiverBasin #wateruse #spatial #mapping #spatialanalysis #spatiotemporal #strategy -
Unraveling The Drivers Of Water Shortage Across Spatial Scales And Sectors In Colorado's West Slope River Basins
--
https://doi.org/10.1029/2026EF008137 <-- shared paper
--
['sorry' about your Kentucky Bluegrass, almonds, etc... /s]
H/T Sai Veena Sunkara | Postdoctoral Associate
“…Colorado’s West Slope basins provide nearly 70% of the inflows to Lake Powell and are also essential to communities, agriculture, industry, hydropower, and downstream Colorado River users.
To examine the wide range of possible futures, [they] simulated 2.1 million years, defining 20,000 plausible scenarios applying changes to streamflow, snowmelt timing, drought persistence, and agricultural, municipal, and industrial water demand.
A key finding is that there is 𝗻𝗼 𝘀𝗶𝗻𝗴𝗹𝗲 𝗰𝗮𝘂𝘀𝗲 𝗼𝗳 𝗳𝘂𝘁𝘂𝗿𝗲 𝘄𝗮𝘁𝗲𝗿 𝘀𝗵𝗼𝗿𝘁𝗮𝗴𝗲𝘀. The most influential drivers vary by basin, sector, and water user. In some areas, shortages are driven primarily by persistent low-flow conditions or changing snowmelt timing. In others, increasing municipal, industrial, or irrigation demand plays a larger role. This suggests that adaptation strategies must be tailored to specific basins and users rather than relying on a single, system-wide solution. Other major findings are
• West Slope deliveries to Lake Powell could fall more than 50% below the current median baseline
• Storage in major West Slope reservoirs could decline 40–55% below historical medians
These results underscore the need for water-planning approaches that account for deep uncertainty, persistent drought, shifting snowmelt patterns, and sector-specific demand…”
#Colorado #waterallocation #StateMod #USWest #USA #WesternSlope #waterresources #watersecurity #watershortage #drought #snowmelt #rainfall #precipitation #riverbasin #water #hydrography #hydrology #reasons #agriculture #industry #hydropower #streamflow #surfacewater #municipal #irrigation #adaptationstrategies #planning #policy #mitigation #ColoradoRiver #basins #climatechange #extremeweather #populationpressure #waterdemand #waterrights #model #modeling #HiddenMarkovModel #stochastic #projecteddemand #ColoradoRiverBasin #wateruse #spatial #mapping #spatialanalysis #spatiotemporal #strategy -
Unraveling The Drivers Of Water Shortage Across Spatial Scales And Sectors In Colorado's West Slope River Basins
--
https://doi.org/10.1029/2026EF008137 <-- shared paper
--
['sorry' about your Kentucky Bluegrass, almonds, etc... /s]
H/T Sai Veena Sunkara | Postdoctoral Associate
“…Colorado’s West Slope basins provide nearly 70% of the inflows to Lake Powell and are also essential to communities, agriculture, industry, hydropower, and downstream Colorado River users.
To examine the wide range of possible futures, [they] simulated 2.1 million years, defining 20,000 plausible scenarios applying changes to streamflow, snowmelt timing, drought persistence, and agricultural, municipal, and industrial water demand.
A key finding is that there is 𝗻𝗼 𝘀𝗶𝗻𝗴𝗹𝗲 𝗰𝗮𝘂𝘀𝗲 𝗼𝗳 𝗳𝘂𝘁𝘂𝗿𝗲 𝘄𝗮𝘁𝗲𝗿 𝘀𝗵𝗼𝗿𝘁𝗮𝗴𝗲𝘀. The most influential drivers vary by basin, sector, and water user. In some areas, shortages are driven primarily by persistent low-flow conditions or changing snowmelt timing. In others, increasing municipal, industrial, or irrigation demand plays a larger role. This suggests that adaptation strategies must be tailored to specific basins and users rather than relying on a single, system-wide solution. Other major findings are
• West Slope deliveries to Lake Powell could fall more than 50% below the current median baseline
• Storage in major West Slope reservoirs could decline 40–55% below historical medians
These results underscore the need for water-planning approaches that account for deep uncertainty, persistent drought, shifting snowmelt patterns, and sector-specific demand…”
#Colorado #waterallocation #StateMod #USWest #USA #WesternSlope #waterresources #watersecurity #watershortage #drought #snowmelt #rainfall #precipitation #riverbasin #water #hydrography #hydrology #reasons #agriculture #industry #hydropower #streamflow #surfacewater #municipal #irrigation #adaptationstrategies #planning #policy #mitigation #ColoradoRiver #basins #climatechange #extremeweather #populationpressure #waterdemand #waterrights #model #modeling #HiddenMarkovModel #stochastic #projecteddemand #ColoradoRiverBasin #wateruse #spatial #mapping #spatialanalysis #spatiotemporal #strategy -
Anatomy Of A Seafloor Spreading Event Captured By In Situ Seismogeodesy
--
https://doi.org/10.1038/s41586-026-10785-0 <-- shared paper
--
https://www.smithsonianmag.com/smart-news/in-a-first-scientists-witness-the-seafloor-spread-in-real-time-giving-them-a-rare-glimpse-at-a-mysterious-geologic-process-180989123/ <-- shared technical media article
--
H/T @Seabed 2030
“🔍 For the first time, scientists have observed seafloor spreading in real time.
Seafloor spreading is the process by which new oceanic crust is formed at mid-ocean ridges - a geological process that has shaped entire ocean basins over millions of years.
During a research expedition in the Indian Ocean, scientists had just deployed a suite of instruments when a series of earthquakes triggered a seafloor spreading event, allowing them to observe the process as it unfolded.
The findings offer rare new insights into how new oceanic crust forms and how the seafloor continues to evolve…”
--
“Earth’s outermost layer - the crust - is constantly renewing itself. It’s broken into giant chunks called tectonic plates that pull apart, push against or slide past one another, creating grand geologic features.
Underwater mountain ranges, or mid-ocean ridges, for instance, generally take shape where two tectonic plates are moving away from each other. Magma can then bubble up in between, solidifying and turning into new oceanic crust as part of a process called seafloor spreading. Although the phenomenon has created entire ocean basins, it remains quite mysterious because it happens so deep in the water.
Now, for the first time, scientists have observed this dynamic activity happening in real time. They describe their findings - and their stroke of luck - in a study [link above], shedding light on a mechanism that made roughly two-thirds of Earth’s crust…”
--
#Seabed2030 #OceanMapping #Hydrospatial #remotesensing #seafloor #seafloorspreading #oceanic #crust #geology #structuralgeology #IndianOcean #earthquake #midoceanridge #instrumentation #marine #seabed #hydrography #model #modeling #mapping #GIS #spatial #tectonicplates #magma #fortuitous #survey #seismogeodetic #monitoring #submarine #rifting #observation #volcanism #seismicity #dyke #fault #faulting #midoceanridge #MOR -
Anatomy Of A Seafloor Spreading Event Captured By In Situ Seismogeodesy
--
https://doi.org/10.1038/s41586-026-10785-0 <-- shared paper
--
https://www.smithsonianmag.com/smart-news/in-a-first-scientists-witness-the-seafloor-spread-in-real-time-giving-them-a-rare-glimpse-at-a-mysterious-geologic-process-180989123/ <-- shared technical media article
--
H/T @Seabed 2030
“🔍 For the first time, scientists have observed seafloor spreading in real time.
Seafloor spreading is the process by which new oceanic crust is formed at mid-ocean ridges - a geological process that has shaped entire ocean basins over millions of years.
During a research expedition in the Indian Ocean, scientists had just deployed a suite of instruments when a series of earthquakes triggered a seafloor spreading event, allowing them to observe the process as it unfolded.
The findings offer rare new insights into how new oceanic crust forms and how the seafloor continues to evolve…”
--
“Earth’s outermost layer - the crust - is constantly renewing itself. It’s broken into giant chunks called tectonic plates that pull apart, push against or slide past one another, creating grand geologic features.
Underwater mountain ranges, or mid-ocean ridges, for instance, generally take shape where two tectonic plates are moving away from each other. Magma can then bubble up in between, solidifying and turning into new oceanic crust as part of a process called seafloor spreading. Although the phenomenon has created entire ocean basins, it remains quite mysterious because it happens so deep in the water.
Now, for the first time, scientists have observed this dynamic activity happening in real time. They describe their findings - and their stroke of luck - in a study [link above], shedding light on a mechanism that made roughly two-thirds of Earth’s crust…”
--
#Seabed2030 #OceanMapping #Hydrospatial #remotesensing #seafloor #seafloorspreading #oceanic #crust #geology #structuralgeology #IndianOcean #earthquake #midoceanridge #instrumentation #marine #seabed #hydrography #model #modeling #mapping #GIS #spatial #tectonicplates #magma #fortuitous #survey #seismogeodetic #monitoring #submarine #rifting #observation #volcanism #seismicity #dyke #fault #faulting #midoceanridge #MOR -
Anatomy Of A Seafloor Spreading Event Captured By In Situ Seismogeodesy
--
https://doi.org/10.1038/s41586-026-10785-0 <-- shared paper
--
https://www.smithsonianmag.com/smart-news/in-a-first-scientists-witness-the-seafloor-spread-in-real-time-giving-them-a-rare-glimpse-at-a-mysterious-geologic-process-180989123/ <-- shared technical media article
--
H/T @Seabed 2030
“🔍 For the first time, scientists have observed seafloor spreading in real time.
Seafloor spreading is the process by which new oceanic crust is formed at mid-ocean ridges - a geological process that has shaped entire ocean basins over millions of years.
During a research expedition in the Indian Ocean, scientists had just deployed a suite of instruments when a series of earthquakes triggered a seafloor spreading event, allowing them to observe the process as it unfolded.
The findings offer rare new insights into how new oceanic crust forms and how the seafloor continues to evolve…”
--
“Earth’s outermost layer - the crust - is constantly renewing itself. It’s broken into giant chunks called tectonic plates that pull apart, push against or slide past one another, creating grand geologic features.
Underwater mountain ranges, or mid-ocean ridges, for instance, generally take shape where two tectonic plates are moving away from each other. Magma can then bubble up in between, solidifying and turning into new oceanic crust as part of a process called seafloor spreading. Although the phenomenon has created entire ocean basins, it remains quite mysterious because it happens so deep in the water.
Now, for the first time, scientists have observed this dynamic activity happening in real time. They describe their findings - and their stroke of luck - in a study [link above], shedding light on a mechanism that made roughly two-thirds of Earth’s crust…”
--
#Seabed2030 #OceanMapping #Hydrospatial #remotesensing #seafloor #seafloorspreading #oceanic #crust #geology #structuralgeology #IndianOcean #earthquake #midoceanridge #instrumentation #marine #seabed #hydrography #model #modeling #mapping #GIS #spatial #tectonicplates #magma #fortuitous #survey #seismogeodetic #monitoring #submarine #rifting #observation #volcanism #seismicity #dyke #fault #faulting #midoceanridge #MOR -
Anatomy Of A Seafloor Spreading Event Captured By In Situ Seismogeodesy
--
https://doi.org/10.1038/s41586-026-10785-0 <-- shared paper
--
https://www.smithsonianmag.com/smart-news/in-a-first-scientists-witness-the-seafloor-spread-in-real-time-giving-them-a-rare-glimpse-at-a-mysterious-geologic-process-180989123/ <-- shared technical media article
--
H/T @Seabed 2030
“🔍 For the first time, scientists have observed seafloor spreading in real time.
Seafloor spreading is the process by which new oceanic crust is formed at mid-ocean ridges - a geological process that has shaped entire ocean basins over millions of years.
During a research expedition in the Indian Ocean, scientists had just deployed a suite of instruments when a series of earthquakes triggered a seafloor spreading event, allowing them to observe the process as it unfolded.
The findings offer rare new insights into how new oceanic crust forms and how the seafloor continues to evolve…”
--
“Earth’s outermost layer - the crust - is constantly renewing itself. It’s broken into giant chunks called tectonic plates that pull apart, push against or slide past one another, creating grand geologic features.
Underwater mountain ranges, or mid-ocean ridges, for instance, generally take shape where two tectonic plates are moving away from each other. Magma can then bubble up in between, solidifying and turning into new oceanic crust as part of a process called seafloor spreading. Although the phenomenon has created entire ocean basins, it remains quite mysterious because it happens so deep in the water.
Now, for the first time, scientists have observed this dynamic activity happening in real time. They describe their findings - and their stroke of luck - in a study [link above], shedding light on a mechanism that made roughly two-thirds of Earth’s crust…”
--
#Seabed2030 #OceanMapping #Hydrospatial #remotesensing #seafloor #seafloorspreading #oceanic #crust #geology #structuralgeology #IndianOcean #earthquake #midoceanridge #instrumentation #marine #seabed #hydrography #model #modeling #mapping #GIS #spatial #tectonicplates #magma #fortuitous #survey #seismogeodetic #monitoring #submarine #rifting #observation #volcanism #seismicity #dyke #fault #faulting #midoceanridge #MOR -
Anatomy Of A Seafloor Spreading Event Captured By In Situ Seismogeodesy
--
https://doi.org/10.1038/s41586-026-10785-0 <-- shared paper
--
https://www.smithsonianmag.com/smart-news/in-a-first-scientists-witness-the-seafloor-spread-in-real-time-giving-them-a-rare-glimpse-at-a-mysterious-geologic-process-180989123/ <-- shared technical media article
--
H/T @Seabed 2030
“🔍 For the first time, scientists have observed seafloor spreading in real time.
Seafloor spreading is the process by which new oceanic crust is formed at mid-ocean ridges - a geological process that has shaped entire ocean basins over millions of years.
During a research expedition in the Indian Ocean, scientists had just deployed a suite of instruments when a series of earthquakes triggered a seafloor spreading event, allowing them to observe the process as it unfolded.
The findings offer rare new insights into how new oceanic crust forms and how the seafloor continues to evolve…”
--
“Earth’s outermost layer - the crust - is constantly renewing itself. It’s broken into giant chunks called tectonic plates that pull apart, push against or slide past one another, creating grand geologic features.
Underwater mountain ranges, or mid-ocean ridges, for instance, generally take shape where two tectonic plates are moving away from each other. Magma can then bubble up in between, solidifying and turning into new oceanic crust as part of a process called seafloor spreading. Although the phenomenon has created entire ocean basins, it remains quite mysterious because it happens so deep in the water.
Now, for the first time, scientists have observed this dynamic activity happening in real time. They describe their findings - and their stroke of luck - in a study [link above], shedding light on a mechanism that made roughly two-thirds of Earth’s crust…”
--
#Seabed2030 #OceanMapping #Hydrospatial #remotesensing #seafloor #seafloorspreading #oceanic #crust #geology #structuralgeology #IndianOcean #earthquake #midoceanridge #instrumentation #marine #seabed #hydrography #model #modeling #mapping #GIS #spatial #tectonicplates #magma #fortuitous #survey #seismogeodetic #monitoring #submarine #rifting #observation #volcanism #seismicity #dyke #fault #faulting #midoceanridge #MOR -
Busy Beavers - The Turbidity Signature Of Ecosystem Engineers At Work
--
https://doi.org/10.1002/hyp.70661 <-- shared paper
--
H/T @alan Puttock
“Beavers are the quintessential ecosystem engineers. In slow-flowing streams, they create complex wetlands with ponds by building dams and canals that can positively impact biodiversity, hydrology and water quality. These activities can interchangeably capture or release sediment along the watercourse. To date this has not been quantified at the resolution of rainfall events or beaver activity. This study used 15-min frequency, sustained monitoring upstream and downstream of a newly establishing beaver wetland to measure episodic changes in water turbidity at an event resolution. Monitoring showed no significant differences between upstream and downstream turbidity over 160 days when the first pair of beavers, known not to be building dams or canals, were resident. Shortly after introduction of another beaver pair, however, dam building, burrows and canal excavations were quickly observed, resulting in the creation of a complex beaver wetland between 2021 and 2024. Monitoring over 375 days during this period showed significant differences. Downstream turbidity was significantly higher overall than upstream: 13.1 Nephelometric Turbidity Units (NTU) compared to 4.2 NTU. Stochastic spikes in downstream turbidity during the study period not recorded upstream were associated with dam building and burrowing. Overall, there was no significant difference in turbidity loads, which was at least partially explained by a reduction in discharge downstream, particularly in higher flows, during the dam building period. This demonstrates a complex system with the trapping of influent sediment, the storing of water and the periodic release of beaver wetland sediment leading to net balance in loads. These results help provide context for other studies which have used temporally discrete sampling campaigns rather than continuous high-frequency monitoring. They provide a unique insight into the downstream impacts of a rapidly developing beaver wetland over its first three and a half years in a landscape that hasn't had beavers for over 400 years…"
#hydromorphic #water #hydrology #dam #beaverdam #waterquality #biodiversity #ecology #benefits #NatureBasedSolutions #Wetlands #Ecology #Biodiversity #EnvironmentalScience #Wildlife #Ecosystem #bioviversity #conservation #restoration #landscaperecovery #floodmanagement #FloodMitigation #flooding #energy #floodrisk #sustainability #wetlands #hydrography #dams #impoundment #deadwood #waterresources #landscapeengineer #benefits #vegetation #ecology #ecosystem #riversystemsstabilisation #naturalwaterregulation #resilience #valleysreborn #fisheries #invertebrates #extremeweather #floodflows #sediment #baseflow #drought #landmanagement #naturalsystems #landuse #monitoring #spatialanalysis #spatiotemporal -
Busy Beavers - The Turbidity Signature Of Ecosystem Engineers At Work
--
https://doi.org/10.1002/hyp.70661 <-- shared paper
--
H/T @alan Puttock
“Beavers are the quintessential ecosystem engineers. In slow-flowing streams, they create complex wetlands with ponds by building dams and canals that can positively impact biodiversity, hydrology and water quality. These activities can interchangeably capture or release sediment along the watercourse. To date this has not been quantified at the resolution of rainfall events or beaver activity. This study used 15-min frequency, sustained monitoring upstream and downstream of a newly establishing beaver wetland to measure episodic changes in water turbidity at an event resolution. Monitoring showed no significant differences between upstream and downstream turbidity over 160 days when the first pair of beavers, known not to be building dams or canals, were resident. Shortly after introduction of another beaver pair, however, dam building, burrows and canal excavations were quickly observed, resulting in the creation of a complex beaver wetland between 2021 and 2024. Monitoring over 375 days during this period showed significant differences. Downstream turbidity was significantly higher overall than upstream: 13.1 Nephelometric Turbidity Units (NTU) compared to 4.2 NTU. Stochastic spikes in downstream turbidity during the study period not recorded upstream were associated with dam building and burrowing. Overall, there was no significant difference in turbidity loads, which was at least partially explained by a reduction in discharge downstream, particularly in higher flows, during the dam building period. This demonstrates a complex system with the trapping of influent sediment, the storing of water and the periodic release of beaver wetland sediment leading to net balance in loads. These results help provide context for other studies which have used temporally discrete sampling campaigns rather than continuous high-frequency monitoring. They provide a unique insight into the downstream impacts of a rapidly developing beaver wetland over its first three and a half years in a landscape that hasn't had beavers for over 400 years…"
#hydromorphic #water #hydrology #dam #beaverdam #waterquality #biodiversity #ecology #benefits #NatureBasedSolutions #Wetlands #Ecology #Biodiversity #EnvironmentalScience #Wildlife #Ecosystem #bioviversity #conservation #restoration #landscaperecovery #floodmanagement #FloodMitigation #flooding #energy #floodrisk #sustainability #wetlands #hydrography #dams #impoundment #deadwood #waterresources #landscapeengineer #benefits #vegetation #ecology #ecosystem #riversystemsstabilisation #naturalwaterregulation #resilience #valleysreborn #fisheries #invertebrates #extremeweather #floodflows #sediment #baseflow #drought #landmanagement #naturalsystems #landuse #monitoring #spatialanalysis #spatiotemporal -
Busy Beavers - The Turbidity Signature Of Ecosystem Engineers At Work
--
https://doi.org/10.1002/hyp.70661 <-- shared paper
--
H/T @alan Puttock
“Beavers are the quintessential ecosystem engineers. In slow-flowing streams, they create complex wetlands with ponds by building dams and canals that can positively impact biodiversity, hydrology and water quality. These activities can interchangeably capture or release sediment along the watercourse. To date this has not been quantified at the resolution of rainfall events or beaver activity. This study used 15-min frequency, sustained monitoring upstream and downstream of a newly establishing beaver wetland to measure episodic changes in water turbidity at an event resolution. Monitoring showed no significant differences between upstream and downstream turbidity over 160 days when the first pair of beavers, known not to be building dams or canals, were resident. Shortly after introduction of another beaver pair, however, dam building, burrows and canal excavations were quickly observed, resulting in the creation of a complex beaver wetland between 2021 and 2024. Monitoring over 375 days during this period showed significant differences. Downstream turbidity was significantly higher overall than upstream: 13.1 Nephelometric Turbidity Units (NTU) compared to 4.2 NTU. Stochastic spikes in downstream turbidity during the study period not recorded upstream were associated with dam building and burrowing. Overall, there was no significant difference in turbidity loads, which was at least partially explained by a reduction in discharge downstream, particularly in higher flows, during the dam building period. This demonstrates a complex system with the trapping of influent sediment, the storing of water and the periodic release of beaver wetland sediment leading to net balance in loads. These results help provide context for other studies which have used temporally discrete sampling campaigns rather than continuous high-frequency monitoring. They provide a unique insight into the downstream impacts of a rapidly developing beaver wetland over its first three and a half years in a landscape that hasn't had beavers for over 400 years…"
#hydromorphic #water #hydrology #dam #beaverdam #waterquality #biodiversity #ecology #benefits #NatureBasedSolutions #Wetlands #Ecology #Biodiversity #EnvironmentalScience #Wildlife #Ecosystem #bioviversity #conservation #restoration #landscaperecovery #floodmanagement #FloodMitigation #flooding #energy #floodrisk #sustainability #wetlands #hydrography #dams #impoundment #deadwood #waterresources #landscapeengineer #benefits #vegetation #ecology #ecosystem #riversystemsstabilisation #naturalwaterregulation #resilience #valleysreborn #fisheries #invertebrates #extremeweather #floodflows #sediment #baseflow #drought #landmanagement #naturalsystems #landuse #monitoring #spatialanalysis #spatiotemporal -
Busy Beavers - The Turbidity Signature Of Ecosystem Engineers At Work
--
https://doi.org/10.1002/hyp.70661 <-- shared paper
--
H/T @alan Puttock
“Beavers are the quintessential ecosystem engineers. In slow-flowing streams, they create complex wetlands with ponds by building dams and canals that can positively impact biodiversity, hydrology and water quality. These activities can interchangeably capture or release sediment along the watercourse. To date this has not been quantified at the resolution of rainfall events or beaver activity. This study used 15-min frequency, sustained monitoring upstream and downstream of a newly establishing beaver wetland to measure episodic changes in water turbidity at an event resolution. Monitoring showed no significant differences between upstream and downstream turbidity over 160 days when the first pair of beavers, known not to be building dams or canals, were resident. Shortly after introduction of another beaver pair, however, dam building, burrows and canal excavations were quickly observed, resulting in the creation of a complex beaver wetland between 2021 and 2024. Monitoring over 375 days during this period showed significant differences. Downstream turbidity was significantly higher overall than upstream: 13.1 Nephelometric Turbidity Units (NTU) compared to 4.2 NTU. Stochastic spikes in downstream turbidity during the study period not recorded upstream were associated with dam building and burrowing. Overall, there was no significant difference in turbidity loads, which was at least partially explained by a reduction in discharge downstream, particularly in higher flows, during the dam building period. This demonstrates a complex system with the trapping of influent sediment, the storing of water and the periodic release of beaver wetland sediment leading to net balance in loads. These results help provide context for other studies which have used temporally discrete sampling campaigns rather than continuous high-frequency monitoring. They provide a unique insight into the downstream impacts of a rapidly developing beaver wetland over its first three and a half years in a landscape that hasn't had beavers for over 400 years…"
#hydromorphic #water #hydrology #dam #beaverdam #waterquality #biodiversity #ecology #benefits #NatureBasedSolutions #Wetlands #Ecology #Biodiversity #EnvironmentalScience #Wildlife #Ecosystem #bioviversity #conservation #restoration #landscaperecovery #floodmanagement #FloodMitigation #flooding #energy #floodrisk #sustainability #wetlands #hydrography #dams #impoundment #deadwood #waterresources #landscapeengineer #benefits #vegetation #ecology #ecosystem #riversystemsstabilisation #naturalwaterregulation #resilience #valleysreborn #fisheries #invertebrates #extremeweather #floodflows #sediment #baseflow #drought #landmanagement #naturalsystems #landuse #monitoring #spatialanalysis #spatiotemporal -
Busy Beavers - The Turbidity Signature Of Ecosystem Engineers At Work
--
https://doi.org/10.1002/hyp.70661 <-- shared paper
--
H/T @alan Puttock
“Beavers are the quintessential ecosystem engineers. In slow-flowing streams, they create complex wetlands with ponds by building dams and canals that can positively impact biodiversity, hydrology and water quality. These activities can interchangeably capture or release sediment along the watercourse. To date this has not been quantified at the resolution of rainfall events or beaver activity. This study used 15-min frequency, sustained monitoring upstream and downstream of a newly establishing beaver wetland to measure episodic changes in water turbidity at an event resolution. Monitoring showed no significant differences between upstream and downstream turbidity over 160 days when the first pair of beavers, known not to be building dams or canals, were resident. Shortly after introduction of another beaver pair, however, dam building, burrows and canal excavations were quickly observed, resulting in the creation of a complex beaver wetland between 2021 and 2024. Monitoring over 375 days during this period showed significant differences. Downstream turbidity was significantly higher overall than upstream: 13.1 Nephelometric Turbidity Units (NTU) compared to 4.2 NTU. Stochastic spikes in downstream turbidity during the study period not recorded upstream were associated with dam building and burrowing. Overall, there was no significant difference in turbidity loads, which was at least partially explained by a reduction in discharge downstream, particularly in higher flows, during the dam building period. This demonstrates a complex system with the trapping of influent sediment, the storing of water and the periodic release of beaver wetland sediment leading to net balance in loads. These results help provide context for other studies which have used temporally discrete sampling campaigns rather than continuous high-frequency monitoring. They provide a unique insight into the downstream impacts of a rapidly developing beaver wetland over its first three and a half years in a landscape that hasn't had beavers for over 400 years…"
#hydromorphic #water #hydrology #dam #beaverdam #waterquality #biodiversity #ecology #benefits #NatureBasedSolutions #Wetlands #Ecology #Biodiversity #EnvironmentalScience #Wildlife #Ecosystem #bioviversity #conservation #restoration #landscaperecovery #floodmanagement #FloodMitigation #flooding #energy #floodrisk #sustainability #wetlands #hydrography #dams #impoundment #deadwood #waterresources #landscapeengineer #benefits #vegetation #ecology #ecosystem #riversystemsstabilisation #naturalwaterregulation #resilience #valleysreborn #fisheries #invertebrates #extremeweather #floodflows #sediment #baseflow #drought #landmanagement #naturalsystems #landuse #monitoring #spatialanalysis #spatiotemporal -
Impact of River Morphology on River–Groundwater Exchange in Braided River Systems
--
https://doi.org/10.1111/gwat.70092 <-- shared paper
--
H/T @thomas Wöhling | Professor at TU Dresden
“Do you like braided rivers? We think they are soooo beautiful. And they are interesting to study as well. Particularly how these complex and transient systems interact with regional aquifers…”
--
“Coupled models of two braided rivers with real, pre- and postflood event morphologies are studied for river–groundwater exchange changes…”
--
“Braided river systems are an important source for groundwater recharge, but their complex morphology makes river–groundwater exchange fluxes difficult to estimate. Their river channel morphology changes frequently after floods, which has effects on recharge rates that have rarely been studied in the past. This work aims to isolate the effects of changes in braided river morphology on groundwater recharge for two sections of the Wairau River and Waikirikiri River in New Zealand. For each study site, two different river morphology variants of a fully coupled surface water–groundwater model utilizing high-resolution DEMs of river bathymetry before and after a major flood event were set up while keeping parameterization and boundary conditions the same. The models demonstrate that flood-induced morphology changes in braided river systems alter groundwater recharge. [They] identif[ied] features, both simulated and observed, that explain the direction of change. Features that increase groundwater recharge are a larger braidplain aquifer extent and volume, larger wetted area and, specifically, an increase of areas with high exchange rates in locations of larger gradients between braidplain aquifer and regional aquifer. These factors influence groundwater recharge independent of connection (Wairau River) or disconnection (Waikirikiri River) of the system to the regional aquifer, albeit with different magnitudes. An extension of [their] research to other braided rivers is needed to more broadly generalize [their] findings...”
#NewZealand #river #morphology #braided #Waikirikiri #Wairau #water #hydrology #hydrography #model #modeling #groundwater #aquifer #waterresources #recharge #infiltration #flood #flow #flooding #hydrogeomorphology #exchangefluxes #surfacewater #remotesensing #DEM #elevation #spatialanalysis #GIS #spatial #mapping #change #dynamic #spatiotemporal #bathymetry -
Impact of River Morphology on River–Groundwater Exchange in Braided River Systems
--
https://doi.org/10.1111/gwat.70092 <-- shared paper
--
H/T @thomas Wöhling | Professor at TU Dresden
“Do you like braided rivers? We think they are soooo beautiful. And they are interesting to study as well. Particularly how these complex and transient systems interact with regional aquifers…”
--
“Coupled models of two braided rivers with real, pre- and postflood event morphologies are studied for river–groundwater exchange changes…”
--
“Braided river systems are an important source for groundwater recharge, but their complex morphology makes river–groundwater exchange fluxes difficult to estimate. Their river channel morphology changes frequently after floods, which has effects on recharge rates that have rarely been studied in the past. This work aims to isolate the effects of changes in braided river morphology on groundwater recharge for two sections of the Wairau River and Waikirikiri River in New Zealand. For each study site, two different river morphology variants of a fully coupled surface water–groundwater model utilizing high-resolution DEMs of river bathymetry before and after a major flood event were set up while keeping parameterization and boundary conditions the same. The models demonstrate that flood-induced morphology changes in braided river systems alter groundwater recharge. [They] identif[ied] features, both simulated and observed, that explain the direction of change. Features that increase groundwater recharge are a larger braidplain aquifer extent and volume, larger wetted area and, specifically, an increase of areas with high exchange rates in locations of larger gradients between braidplain aquifer and regional aquifer. These factors influence groundwater recharge independent of connection (Wairau River) or disconnection (Waikirikiri River) of the system to the regional aquifer, albeit with different magnitudes. An extension of [their] research to other braided rivers is needed to more broadly generalize [their] findings...”
#NewZealand #river #morphology #braided #Waikirikiri #Wairau #water #hydrology #hydrography #model #modeling #groundwater #aquifer #waterresources #recharge #infiltration #flood #flow #flooding #hydrogeomorphology #exchangefluxes #surfacewater #remotesensing #DEM #elevation #spatialanalysis #GIS #spatial #mapping #change #dynamic #spatiotemporal #bathymetry -
Impact of River Morphology on River–Groundwater Exchange in Braided River Systems
--
https://doi.org/10.1111/gwat.70092 <-- shared paper
--
H/T @thomas Wöhling | Professor at TU Dresden
“Do you like braided rivers? We think they are soooo beautiful. And they are interesting to study as well. Particularly how these complex and transient systems interact with regional aquifers…”
--
“Coupled models of two braided rivers with real, pre- and postflood event morphologies are studied for river–groundwater exchange changes…”
--
“Braided river systems are an important source for groundwater recharge, but their complex morphology makes river–groundwater exchange fluxes difficult to estimate. Their river channel morphology changes frequently after floods, which has effects on recharge rates that have rarely been studied in the past. This work aims to isolate the effects of changes in braided river morphology on groundwater recharge for two sections of the Wairau River and Waikirikiri River in New Zealand. For each study site, two different river morphology variants of a fully coupled surface water–groundwater model utilizing high-resolution DEMs of river bathymetry before and after a major flood event were set up while keeping parameterization and boundary conditions the same. The models demonstrate that flood-induced morphology changes in braided river systems alter groundwater recharge. [They] identif[ied] features, both simulated and observed, that explain the direction of change. Features that increase groundwater recharge are a larger braidplain aquifer extent and volume, larger wetted area and, specifically, an increase of areas with high exchange rates in locations of larger gradients between braidplain aquifer and regional aquifer. These factors influence groundwater recharge independent of connection (Wairau River) or disconnection (Waikirikiri River) of the system to the regional aquifer, albeit with different magnitudes. An extension of [their] research to other braided rivers is needed to more broadly generalize [their] findings...”
#NewZealand #river #morphology #braided #Waikirikiri #Wairau #water #hydrology #hydrography #model #modeling #groundwater #aquifer #waterresources #recharge #infiltration #flood #flow #flooding #hydrogeomorphology #exchangefluxes #surfacewater #remotesensing #DEM #elevation #spatialanalysis #GIS #spatial #mapping #change #dynamic #spatiotemporal #bathymetry -
Impact of River Morphology on River–Groundwater Exchange in Braided River Systems
--
https://doi.org/10.1111/gwat.70092 <-- shared paper
--
H/T @thomas Wöhling | Professor at TU Dresden
“Do you like braided rivers? We think they are soooo beautiful. And they are interesting to study as well. Particularly how these complex and transient systems interact with regional aquifers…”
--
“Coupled models of two braided rivers with real, pre- and postflood event morphologies are studied for river–groundwater exchange changes…”
--
“Braided river systems are an important source for groundwater recharge, but their complex morphology makes river–groundwater exchange fluxes difficult to estimate. Their river channel morphology changes frequently after floods, which has effects on recharge rates that have rarely been studied in the past. This work aims to isolate the effects of changes in braided river morphology on groundwater recharge for two sections of the Wairau River and Waikirikiri River in New Zealand. For each study site, two different river morphology variants of a fully coupled surface water–groundwater model utilizing high-resolution DEMs of river bathymetry before and after a major flood event were set up while keeping parameterization and boundary conditions the same. The models demonstrate that flood-induced morphology changes in braided river systems alter groundwater recharge. [They] identif[ied] features, both simulated and observed, that explain the direction of change. Features that increase groundwater recharge are a larger braidplain aquifer extent and volume, larger wetted area and, specifically, an increase of areas with high exchange rates in locations of larger gradients between braidplain aquifer and regional aquifer. These factors influence groundwater recharge independent of connection (Wairau River) or disconnection (Waikirikiri River) of the system to the regional aquifer, albeit with different magnitudes. An extension of [their] research to other braided rivers is needed to more broadly generalize [their] findings...”
#NewZealand #river #morphology #braided #Waikirikiri #Wairau #water #hydrology #hydrography #model #modeling #groundwater #aquifer #waterresources #recharge #infiltration #flood #flow #flooding #hydrogeomorphology #exchangefluxes #surfacewater #remotesensing #DEM #elevation #spatialanalysis #GIS #spatial #mapping #change #dynamic #spatiotemporal #bathymetry -
Impact of River Morphology on River–Groundwater Exchange in Braided River Systems
--
https://doi.org/10.1111/gwat.70092 <-- shared paper
--
H/T @thomas Wöhling | Professor at TU Dresden
“Do you like braided rivers? We think they are soooo beautiful. And they are interesting to study as well. Particularly how these complex and transient systems interact with regional aquifers…”
--
“Coupled models of two braided rivers with real, pre- and postflood event morphologies are studied for river–groundwater exchange changes…”
--
“Braided river systems are an important source for groundwater recharge, but their complex morphology makes river–groundwater exchange fluxes difficult to estimate. Their river channel morphology changes frequently after floods, which has effects on recharge rates that have rarely been studied in the past. This work aims to isolate the effects of changes in braided river morphology on groundwater recharge for two sections of the Wairau River and Waikirikiri River in New Zealand. For each study site, two different river morphology variants of a fully coupled surface water–groundwater model utilizing high-resolution DEMs of river bathymetry before and after a major flood event were set up while keeping parameterization and boundary conditions the same. The models demonstrate that flood-induced morphology changes in braided river systems alter groundwater recharge. [They] identif[ied] features, both simulated and observed, that explain the direction of change. Features that increase groundwater recharge are a larger braidplain aquifer extent and volume, larger wetted area and, specifically, an increase of areas with high exchange rates in locations of larger gradients between braidplain aquifer and regional aquifer. These factors influence groundwater recharge independent of connection (Wairau River) or disconnection (Waikirikiri River) of the system to the regional aquifer, albeit with different magnitudes. An extension of [their] research to other braided rivers is needed to more broadly generalize [their] findings...”
#NewZealand #river #morphology #braided #Waikirikiri #Wairau #water #hydrology #hydrography #model #modeling #groundwater #aquifer #waterresources #recharge #infiltration #flood #flow #flooding #hydrogeomorphology #exchangefluxes #surfacewater #remotesensing #DEM #elevation #spatialanalysis #GIS #spatial #mapping #change #dynamic #spatiotemporal #bathymetry -
Ancient Water Wisdom - The Acequias Of Sierra Nevada, Europe’s Oldest Groundwater System ⛰️
--
https://memolaproject.eu/sierra-nevada/wateruse <-- shared link to the 𝗠𝗘𝗠𝗢𝗟𝗔 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 page
--
https://regadiohistorico.es/ <-- shared technical page, “Collaborative map of historical irrigation systems in Granada and Almería” / “Mapa colaborativo de regadíos históricos de Granada y Almería”
--
https://youtu.be/-TIUI2KflMk?si=iaSOwV99-WWMDCpV <-- shared video overview, “Participa al Mapa colaborativo de regadíos históricos de Granada y Almería”
--
H/T @sofie de Volder | Co-founder TRAQUA
“[The author has] already discussed ancient water management systems, such as the qanats in Persia and other Eastern countries. In Europe, there are the acequias of the Sierra Nevada in Andalusia, Spain.
The hand-dug channels date back over 1,000 years to the Moorish era. Networks of canals, aqueducts and cisterns were engineered to capture and transport snowmelt, turning this natural resource into a sustainable water supply for agriculture. The high-altitude ditches had openings, allowing water to infiltrate into fractures and faults, replenishing the aquifer, and to irrigate the lower levels of the slopes.
𝗪𝗵𝗮𝘁 𝗱𝗲𝗳𝗶𝗻𝗲 𝗮𝗰𝗲𝗾𝘂𝗶𝗮𝘀?
✅ Gravity-fed irrigation that supported terraced farms and local biodiversity.
✅ Designed to distribute water slowly and equitably, even during dry summers.
✅ Stretching over thousands of kilometres, these systems fell into disuse in the 1980s but are now part of restoration efforts led by the MEMOLA Project (Universidad de Granada).
With climate change and more intense droughts, the Acequias could provide an ancient solution to the modern-day water crisis…”
#Spain #𝗮𝗰𝗲𝗾𝘂𝗶𝗮𝘀 #waterresources #historic #irrigation #mapping #watermanagement #agriculture #farming #watersecurity #HistoricalIrrigationSystems #agroecological #SierraNevada #Andalusia #Moors #engineering #constructed #channels #canals #aqueducts #cisterns #water #hydrography #snowmelt #naturalresource #sustainability #groundwater #aquifers #recharge #MEMOLA #mapping #climatechange #extremeweather #drought -
Ancient Water Wisdom - The Acequias Of Sierra Nevada, Europe’s Oldest Groundwater System ⛰️
--
https://memolaproject.eu/sierra-nevada/wateruse <-- shared link to the 𝗠𝗘𝗠𝗢𝗟𝗔 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 page
--
https://regadiohistorico.es/ <-- shared technical page, “Collaborative map of historical irrigation systems in Granada and Almería” / “Mapa colaborativo de regadíos históricos de Granada y Almería”
--
https://youtu.be/-TIUI2KflMk?si=iaSOwV99-WWMDCpV <-- shared video overview, “Participa al Mapa colaborativo de regadíos históricos de Granada y Almería”
--
H/T @sofie de Volder | Co-founder TRAQUA
“[The author has] already discussed ancient water management systems, such as the qanats in Persia and other Eastern countries. In Europe, there are the acequias of the Sierra Nevada in Andalusia, Spain.
The hand-dug channels date back over 1,000 years to the Moorish era. Networks of canals, aqueducts and cisterns were engineered to capture and transport snowmelt, turning this natural resource into a sustainable water supply for agriculture. The high-altitude ditches had openings, allowing water to infiltrate into fractures and faults, replenishing the aquifer, and to irrigate the lower levels of the slopes.
𝗪𝗵𝗮𝘁 𝗱𝗲𝗳𝗶𝗻𝗲 𝗮𝗰𝗲𝗾𝘂𝗶𝗮𝘀?
✅ Gravity-fed irrigation that supported terraced farms and local biodiversity.
✅ Designed to distribute water slowly and equitably, even during dry summers.
✅ Stretching over thousands of kilometres, these systems fell into disuse in the 1980s but are now part of restoration efforts led by the MEMOLA Project (Universidad de Granada).
With climate change and more intense droughts, the Acequias could provide an ancient solution to the modern-day water crisis…”
#Spain #𝗮𝗰𝗲𝗾𝘂𝗶𝗮𝘀 #waterresources #historic #irrigation #mapping #watermanagement #agriculture #farming #watersecurity #HistoricalIrrigationSystems #agroecological #SierraNevada #Andalusia #Moors #engineering #constructed #channels #canals #aqueducts #cisterns #water #hydrography #snowmelt #naturalresource #sustainability #groundwater #aquifers #recharge #MEMOLA #mapping #climatechange #extremeweather #drought -
Ancient Water Wisdom - The Acequias Of Sierra Nevada, Europe’s Oldest Groundwater System ⛰️
--
https://memolaproject.eu/sierra-nevada/wateruse <-- shared link to the 𝗠𝗘𝗠𝗢𝗟𝗔 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 page
--
https://regadiohistorico.es/ <-- shared technical page, “Collaborative map of historical irrigation systems in Granada and Almería” / “Mapa colaborativo de regadíos históricos de Granada y Almería”
--
https://youtu.be/-TIUI2KflMk?si=iaSOwV99-WWMDCpV <-- shared video overview, “Participa al Mapa colaborativo de regadíos históricos de Granada y Almería”
--
H/T @sofie de Volder | Co-founder TRAQUA
“[The author has] already discussed ancient water management systems, such as the qanats in Persia and other Eastern countries. In Europe, there are the acequias of the Sierra Nevada in Andalusia, Spain.
The hand-dug channels date back over 1,000 years to the Moorish era. Networks of canals, aqueducts and cisterns were engineered to capture and transport snowmelt, turning this natural resource into a sustainable water supply for agriculture. The high-altitude ditches had openings, allowing water to infiltrate into fractures and faults, replenishing the aquifer, and to irrigate the lower levels of the slopes.
𝗪𝗵𝗮𝘁 𝗱𝗲𝗳𝗶𝗻𝗲 𝗮𝗰𝗲𝗾𝘂𝗶𝗮𝘀?
✅ Gravity-fed irrigation that supported terraced farms and local biodiversity.
✅ Designed to distribute water slowly and equitably, even during dry summers.
✅ Stretching over thousands of kilometres, these systems fell into disuse in the 1980s but are now part of restoration efforts led by the MEMOLA Project (Universidad de Granada).
With climate change and more intense droughts, the Acequias could provide an ancient solution to the modern-day water crisis…”
#Spain #𝗮𝗰𝗲𝗾𝘂𝗶𝗮𝘀 #waterresources #historic #irrigation #mapping #watermanagement #agriculture #farming #watersecurity #HistoricalIrrigationSystems #agroecological #SierraNevada #Andalusia #Moors #engineering #constructed #channels #canals #aqueducts #cisterns #water #hydrography #snowmelt #naturalresource #sustainability #groundwater #aquifers #recharge #MEMOLA #mapping #climatechange #extremeweather #drought -
Ancient Water Wisdom - The Acequias Of Sierra Nevada, Europe’s Oldest Groundwater System ⛰️
--
https://memolaproject.eu/sierra-nevada/wateruse <-- shared link to the 𝗠𝗘𝗠𝗢𝗟𝗔 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 page
--
https://regadiohistorico.es/ <-- shared technical page, “Collaborative map of historical irrigation systems in Granada and Almería” / “Mapa colaborativo de regadíos históricos de Granada y Almería”
--
https://youtu.be/-TIUI2KflMk?si=iaSOwV99-WWMDCpV <-- shared video overview, “Participa al Mapa colaborativo de regadíos históricos de Granada y Almería”
--
H/T @sofie de Volder | Co-founder TRAQUA
“[The author has] already discussed ancient water management systems, such as the qanats in Persia and other Eastern countries. In Europe, there are the acequias of the Sierra Nevada in Andalusia, Spain.
The hand-dug channels date back over 1,000 years to the Moorish era. Networks of canals, aqueducts and cisterns were engineered to capture and transport snowmelt, turning this natural resource into a sustainable water supply for agriculture. The high-altitude ditches had openings, allowing water to infiltrate into fractures and faults, replenishing the aquifer, and to irrigate the lower levels of the slopes.
𝗪𝗵𝗮𝘁 𝗱𝗲𝗳𝗶𝗻𝗲 𝗮𝗰𝗲𝗾𝘂𝗶𝗮𝘀?
✅ Gravity-fed irrigation that supported terraced farms and local biodiversity.
✅ Designed to distribute water slowly and equitably, even during dry summers.
✅ Stretching over thousands of kilometres, these systems fell into disuse in the 1980s but are now part of restoration efforts led by the MEMOLA Project (Universidad de Granada).
With climate change and more intense droughts, the Acequias could provide an ancient solution to the modern-day water crisis…”
#Spain #𝗮𝗰𝗲𝗾𝘂𝗶𝗮𝘀 #waterresources #historic #irrigation #mapping #watermanagement #agriculture #farming #watersecurity #HistoricalIrrigationSystems #agroecological #SierraNevada #Andalusia #Moors #engineering #constructed #channels #canals #aqueducts #cisterns #water #hydrography #snowmelt #naturalresource #sustainability #groundwater #aquifers #recharge #MEMOLA #mapping #climatechange #extremeweather #drought -
Ancient Water Wisdom - The Acequias Of Sierra Nevada, Europe’s Oldest Groundwater System ⛰️
--
https://memolaproject.eu/sierra-nevada/wateruse <-- shared link to the 𝗠𝗘𝗠𝗢𝗟𝗔 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 page
--
https://regadiohistorico.es/ <-- shared technical page, “Collaborative map of historical irrigation systems in Granada and Almería” / “Mapa colaborativo de regadíos históricos de Granada y Almería”
--
https://youtu.be/-TIUI2KflMk?si=iaSOwV99-WWMDCpV <-- shared video overview, “Participa al Mapa colaborativo de regadíos históricos de Granada y Almería”
--
H/T @sofie de Volder | Co-founder TRAQUA
“[The author has] already discussed ancient water management systems, such as the qanats in Persia and other Eastern countries. In Europe, there are the acequias of the Sierra Nevada in Andalusia, Spain.
The hand-dug channels date back over 1,000 years to the Moorish era. Networks of canals, aqueducts and cisterns were engineered to capture and transport snowmelt, turning this natural resource into a sustainable water supply for agriculture. The high-altitude ditches had openings, allowing water to infiltrate into fractures and faults, replenishing the aquifer, and to irrigate the lower levels of the slopes.
𝗪𝗵𝗮𝘁 𝗱𝗲𝗳𝗶𝗻𝗲 𝗮𝗰𝗲𝗾𝘂𝗶𝗮𝘀?
✅ Gravity-fed irrigation that supported terraced farms and local biodiversity.
✅ Designed to distribute water slowly and equitably, even during dry summers.
✅ Stretching over thousands of kilometres, these systems fell into disuse in the 1980s but are now part of restoration efforts led by the MEMOLA Project (Universidad de Granada).
With climate change and more intense droughts, the Acequias could provide an ancient solution to the modern-day water crisis…”
#Spain #𝗮𝗰𝗲𝗾𝘂𝗶𝗮𝘀 #waterresources #historic #irrigation #mapping #watermanagement #agriculture #farming #watersecurity #HistoricalIrrigationSystems #agroecological #SierraNevada #Andalusia #Moors #engineering #constructed #channels #canals #aqueducts #cisterns #water #hydrography #snowmelt #naturalresource #sustainability #groundwater #aquifers #recharge #MEMOLA #mapping #climatechange #extremeweather #drought -
GMIA-NEXT - Next-Generation Global Map of Irrigated Areas |
--
https://doi.org/10.21203/rs.3.rs-10085674/v1 <-- shared paper
--
https://zenodo.org/records/17627111 <-- shared open data
--
H/T @kyle Davis
“Irrigation plays a critical role in global food production and climate adaptation and exercises profound influence over humanity's water use. Yet despite its critical importance, there is a persistent lack of understanding of fine-scale irrigation patterns across the planet, knowledge which is essential for informing global food security and sustainability targets. Utilizing either statistical downscaling or remote sensing approaches, existing global irrigation datasets are constrained by coarse spatial resolutions, a lack of timeliness, or varying robustness and reliability. To address this gap, here [they] integrate[d] multi-source Earth observation and environmental datasets and use[d] machine learning to develop a medium-resolution (30 metre) global irrigated area dataset for the 2023/24 growing season. Within existing cropland extent, we leverage a newly compiled set of georeferenced irrigated (N=230,683) and non-irrigated (N=153,194) ground-truth points and integrate seasonal vegetation metrics derived from Landsat 8/9 imagery with agroecological-zone information and hydroclimatic and topographic variables. [They] subsequently develop and evaluate two machine-learning frameworks, a continental Agro-Ecological Zone (AEZ) tile-based framework and a continental-scale framework, and apply the best-performing approach for each continent. Evaluation using held-out test samples yielded a global accuracy of 80.5 ± 2.1%. The resulting maps were also validated against independent global and national irrigation datasets and statistics, demonstrating broad agreement in the spatial distribution of irrigated areas. This approach is robust and reliable because it is built on a harmonized global ground-truth database, incorporates multiple predictors, and is rigorously validated using independent datasets. All code, ground-truth, and data products are freely and publicly available [link above] and can serve as a robust, scale-neutral, and fully reproducible framework for fine-resolution irrigation mapping. These advances provide the critical and long-needed foundation for near-real-time monitoring and early warning systems, and fine-scale land and water resource management…”
#IrrigatedAreas #Mapping #GIS #spatial #mapping #spatialanalysis #spatiotemporal #global #irrigation #water #hydrology #hydrography #waterresources #farming #agriculture #opendata #remotesensing #earthobservation #geomorphometry #AI #machinelearning #LLM #model #modeling #WaterManagement #opendata #AgroEcologicalZone #AEZ #cropland #irrigatedareas #foodproduction #wateruse #humanimpacts #EarthObservation #remotesensing #earlywarning #monitoring #FoodandAgricultureOrganizationFAO #FAO
@FAO - Food and Agriculture Organization -
GMIA-NEXT - Next-Generation Global Map of Irrigated Areas |
--
https://doi.org/10.21203/rs.3.rs-10085674/v1 <-- shared paper
--
https://zenodo.org/records/17627111 <-- shared open data
--
H/T @kyle Davis
“Irrigation plays a critical role in global food production and climate adaptation and exercises profound influence over humanity's water use. Yet despite its critical importance, there is a persistent lack of understanding of fine-scale irrigation patterns across the planet, knowledge which is essential for informing global food security and sustainability targets. Utilizing either statistical downscaling or remote sensing approaches, existing global irrigation datasets are constrained by coarse spatial resolutions, a lack of timeliness, or varying robustness and reliability. To address this gap, here [they] integrate[d] multi-source Earth observation and environmental datasets and use[d] machine learning to develop a medium-resolution (30 metre) global irrigated area dataset for the 2023/24 growing season. Within existing cropland extent, we leverage a newly compiled set of georeferenced irrigated (N=230,683) and non-irrigated (N=153,194) ground-truth points and integrate seasonal vegetation metrics derived from Landsat 8/9 imagery with agroecological-zone information and hydroclimatic and topographic variables. [They] subsequently develop and evaluate two machine-learning frameworks, a continental Agro-Ecological Zone (AEZ) tile-based framework and a continental-scale framework, and apply the best-performing approach for each continent. Evaluation using held-out test samples yielded a global accuracy of 80.5 ± 2.1%. The resulting maps were also validated against independent global and national irrigation datasets and statistics, demonstrating broad agreement in the spatial distribution of irrigated areas. This approach is robust and reliable because it is built on a harmonized global ground-truth database, incorporates multiple predictors, and is rigorously validated using independent datasets. All code, ground-truth, and data products are freely and publicly available [link above] and can serve as a robust, scale-neutral, and fully reproducible framework for fine-resolution irrigation mapping. These advances provide the critical and long-needed foundation for near-real-time monitoring and early warning systems, and fine-scale land and water resource management…”
#IrrigatedAreas #Mapping #GIS #spatial #mapping #spatialanalysis #spatiotemporal #global #irrigation #water #hydrology #hydrography #waterresources #farming #agriculture #opendata #remotesensing #earthobservation #geomorphometry #AI #machinelearning #LLM #model #modeling #WaterManagement #opendata #AgroEcologicalZone #AEZ #cropland #irrigatedareas #foodproduction #wateruse #humanimpacts #EarthObservation #remotesensing #earlywarning #monitoring #FoodandAgricultureOrganizationFAO #FAO
@FAO - Food and Agriculture Organization -
GMIA-NEXT - Next-Generation Global Map of Irrigated Areas |
--
https://doi.org/10.21203/rs.3.rs-10085674/v1 <-- shared paper
--
https://zenodo.org/records/17627111 <-- shared open data
--
H/T @kyle Davis
“Irrigation plays a critical role in global food production and climate adaptation and exercises profound influence over humanity's water use. Yet despite its critical importance, there is a persistent lack of understanding of fine-scale irrigation patterns across the planet, knowledge which is essential for informing global food security and sustainability targets. Utilizing either statistical downscaling or remote sensing approaches, existing global irrigation datasets are constrained by coarse spatial resolutions, a lack of timeliness, or varying robustness and reliability. To address this gap, here [they] integrate[d] multi-source Earth observation and environmental datasets and use[d] machine learning to develop a medium-resolution (30 metre) global irrigated area dataset for the 2023/24 growing season. Within existing cropland extent, we leverage a newly compiled set of georeferenced irrigated (N=230,683) and non-irrigated (N=153,194) ground-truth points and integrate seasonal vegetation metrics derived from Landsat 8/9 imagery with agroecological-zone information and hydroclimatic and topographic variables. [They] subsequently develop and evaluate two machine-learning frameworks, a continental Agro-Ecological Zone (AEZ) tile-based framework and a continental-scale framework, and apply the best-performing approach for each continent. Evaluation using held-out test samples yielded a global accuracy of 80.5 ± 2.1%. The resulting maps were also validated against independent global and national irrigation datasets and statistics, demonstrating broad agreement in the spatial distribution of irrigated areas. This approach is robust and reliable because it is built on a harmonized global ground-truth database, incorporates multiple predictors, and is rigorously validated using independent datasets. All code, ground-truth, and data products are freely and publicly available [link above] and can serve as a robust, scale-neutral, and fully reproducible framework for fine-resolution irrigation mapping. These advances provide the critical and long-needed foundation for near-real-time monitoring and early warning systems, and fine-scale land and water resource management…”
#IrrigatedAreas #Mapping #GIS #spatial #mapping #spatialanalysis #spatiotemporal #global #irrigation #water #hydrology #hydrography #waterresources #farming #agriculture #opendata #remotesensing #earthobservation #geomorphometry #AI #machinelearning #LLM #model #modeling #WaterManagement #opendata #AgroEcologicalZone #AEZ #cropland #irrigatedareas #foodproduction #wateruse #humanimpacts #EarthObservation #remotesensing #earlywarning #monitoring #FoodandAgricultureOrganizationFAO #FAO
@FAO - Food and Agriculture Organization -
GMIA-NEXT - Next-Generation Global Map of Irrigated Areas |
--
https://doi.org/10.21203/rs.3.rs-10085674/v1 <-- shared paper
--
https://zenodo.org/records/17627111 <-- shared open data
--
H/T @kyle Davis
“Irrigation plays a critical role in global food production and climate adaptation and exercises profound influence over humanity's water use. Yet despite its critical importance, there is a persistent lack of understanding of fine-scale irrigation patterns across the planet, knowledge which is essential for informing global food security and sustainability targets. Utilizing either statistical downscaling or remote sensing approaches, existing global irrigation datasets are constrained by coarse spatial resolutions, a lack of timeliness, or varying robustness and reliability. To address this gap, here [they] integrate[d] multi-source Earth observation and environmental datasets and use[d] machine learning to develop a medium-resolution (30 metre) global irrigated area dataset for the 2023/24 growing season. Within existing cropland extent, we leverage a newly compiled set of georeferenced irrigated (N=230,683) and non-irrigated (N=153,194) ground-truth points and integrate seasonal vegetation metrics derived from Landsat 8/9 imagery with agroecological-zone information and hydroclimatic and topographic variables. [They] subsequently develop and evaluate two machine-learning frameworks, a continental Agro-Ecological Zone (AEZ) tile-based framework and a continental-scale framework, and apply the best-performing approach for each continent. Evaluation using held-out test samples yielded a global accuracy of 80.5 ± 2.1%. The resulting maps were also validated against independent global and national irrigation datasets and statistics, demonstrating broad agreement in the spatial distribution of irrigated areas. This approach is robust and reliable because it is built on a harmonized global ground-truth database, incorporates multiple predictors, and is rigorously validated using independent datasets. All code, ground-truth, and data products are freely and publicly available [link above] and can serve as a robust, scale-neutral, and fully reproducible framework for fine-resolution irrigation mapping. These advances provide the critical and long-needed foundation for near-real-time monitoring and early warning systems, and fine-scale land and water resource management…”
#IrrigatedAreas #Mapping #GIS #spatial #mapping #spatialanalysis #spatiotemporal #global #irrigation #water #hydrology #hydrography #waterresources #farming #agriculture #opendata #remotesensing #earthobservation #geomorphometry #AI #machinelearning #LLM #model #modeling #WaterManagement #opendata #AgroEcologicalZone #AEZ #cropland #irrigatedareas #foodproduction #wateruse #humanimpacts #EarthObservation #remotesensing #earlywarning #monitoring #FoodandAgricultureOrganizationFAO #FAO
@FAO - Food and Agriculture Organization -
GMIA-NEXT - Next-Generation Global Map of Irrigated Areas |
--
https://doi.org/10.21203/rs.3.rs-10085674/v1 <-- shared paper
--
https://zenodo.org/records/17627111 <-- shared open data
--
H/T @kyle Davis
“Irrigation plays a critical role in global food production and climate adaptation and exercises profound influence over humanity's water use. Yet despite its critical importance, there is a persistent lack of understanding of fine-scale irrigation patterns across the planet, knowledge which is essential for informing global food security and sustainability targets. Utilizing either statistical downscaling or remote sensing approaches, existing global irrigation datasets are constrained by coarse spatial resolutions, a lack of timeliness, or varying robustness and reliability. To address this gap, here [they] integrate[d] multi-source Earth observation and environmental datasets and use[d] machine learning to develop a medium-resolution (30 metre) global irrigated area dataset for the 2023/24 growing season. Within existing cropland extent, we leverage a newly compiled set of georeferenced irrigated (N=230,683) and non-irrigated (N=153,194) ground-truth points and integrate seasonal vegetation metrics derived from Landsat 8/9 imagery with agroecological-zone information and hydroclimatic and topographic variables. [They] subsequently develop and evaluate two machine-learning frameworks, a continental Agro-Ecological Zone (AEZ) tile-based framework and a continental-scale framework, and apply the best-performing approach for each continent. Evaluation using held-out test samples yielded a global accuracy of 80.5 ± 2.1%. The resulting maps were also validated against independent global and national irrigation datasets and statistics, demonstrating broad agreement in the spatial distribution of irrigated areas. This approach is robust and reliable because it is built on a harmonized global ground-truth database, incorporates multiple predictors, and is rigorously validated using independent datasets. All code, ground-truth, and data products are freely and publicly available [link above] and can serve as a robust, scale-neutral, and fully reproducible framework for fine-resolution irrigation mapping. These advances provide the critical and long-needed foundation for near-real-time monitoring and early warning systems, and fine-scale land and water resource management…”
#IrrigatedAreas #Mapping #GIS #spatial #mapping #spatialanalysis #spatiotemporal #global #irrigation #water #hydrology #hydrography #waterresources #farming #agriculture #opendata #remotesensing #earthobservation #geomorphometry #AI #machinelearning #LLM #model #modeling #WaterManagement #opendata #AgroEcologicalZone #AEZ #cropland #irrigatedareas #foodproduction #wateruse #humanimpacts #EarthObservation #remotesensing #earlywarning #monitoring #FoodandAgricultureOrganizationFAO #FAO
@FAO - Food and Agriculture Organization -
Eager Beavers - Rodents Engineer Czech Wetland Project After Years Of Human Delay [ecosystem engineers]
--
https://www.theguardian.com/world/2025/feb/11/beavers-save-czech-taxpayers-by-flooding-ex-army-training-site <-- shared technical media article
--
https://en.wikipedia.org/wiki/Beaver-engineered_dam_in_the_Czech_Republic <-- shared wiki technical page
--
https://phys.org/news/2025-02-fine-beavers-czech-treasury-million.html <-- shared technical article
--
https://youtu.be/GSTw8qmBP4Y?si=XK2Iy2pAltW91flj <-- shared video (Czech)
--
H/T @ScienceGirl
"We don't expect any conflict with the beaver in the next 10 years," ~ Bohumil Fiser from the Czech Nature Conservation Agency
--
“For seven years, planners struggled to complete a $1.2 million wetland restoration project in the Brdy region of the Czech Republic. The goal was to build a dam that would improve water management and bring back valuable wetland habitat, but the project remained trapped in a maze of permits and approvals.
Then a family of eight Eurasian beavers did what engineers had planned… without permits, machinery, or a budget.
The beavers built a network of dams in almost the exact area chosen for the proposed project, naturally restoring the wetland system officials had spent years trying to create. After seeing the results, authorities decided there was little point continuing with the original human-built dam.
Although some reports suggested the beavers completed the work overnight, experts say their construction likely took several weeks. The reason it seemed sudden is that the animals quietly worked away until their finished dams became impossible to miss.
Beavers are known as “ecosystem engineers” because their behaviour can reshape entire environments. By cutting trees and blocking streams, they create ponds and wetlands that support countless species, including fish, amphibians, insects, birds, and mammals.
Their wetlands also act as natural water reservoirs, helping during droughts, reducing flood risks, filtering water, storing carbon, and keeping landscapes wetter during wildfires…
Once heavily hunted across Europe, beaver populations have been recovering thanks to conservation efforts, proving that sometimes nature can solve problems humans spend years trying to fix…"
#water #hydrology #KlabavaRiver #Czech #BrdyRegion #protected #CzechRepublic #armytraining #military #beaver #Eurasianbeavers #dam #beaverdam #waterquality #restoration #biodiversity #crayfish #wetland #ecology #benefits #Beavers #NatureBasedSolutions #Wetlands #Ecology #Biodiversity #Agroforestry #EnvironmentalScience #Conservation #Wildlife #Ecosystem #bioviversity #conservation #restoration #landscaperecovery #EcosystemEngineers #nature #floodmanagement #FloodMitigation #flood #flooding #energy #floodrisk #sustainability #wetlands #hydrography #dams #impoundment #deadwood #waterresources #landscapeengineer #agriculture #benefits #vegetation #ecology #ecosystem #riversystemsstabilisation #naturalwaterregulation #resilience #drought #wildfire #valleysreborn #slowdetermination #fisheries #invertebrates #extremeweather #floodflows #sediment #baseflow #drought #landmanagement #naturalsystems #landuse #ecosystemengineers #watermanagement -
Eager Beavers - Rodents Engineer Czech Wetland Project After Years Of Human Delay [ecosystem engineers]
--
https://www.theguardian.com/world/2025/feb/11/beavers-save-czech-taxpayers-by-flooding-ex-army-training-site <-- shared technical media article
--
https://en.wikipedia.org/wiki/Beaver-engineered_dam_in_the_Czech_Republic <-- shared wiki technical page
--
https://phys.org/news/2025-02-fine-beavers-czech-treasury-million.html <-- shared technical article
--
https://youtu.be/GSTw8qmBP4Y?si=XK2Iy2pAltW91flj <-- shared video (Czech)
--
H/T @ScienceGirl
"We don't expect any conflict with the beaver in the next 10 years," ~ Bohumil Fiser from the Czech Nature Conservation Agency
--
“For seven years, planners struggled to complete a $1.2 million wetland restoration project in the Brdy region of the Czech Republic. The goal was to build a dam that would improve water management and bring back valuable wetland habitat, but the project remained trapped in a maze of permits and approvals.
Then a family of eight Eurasian beavers did what engineers had planned… without permits, machinery, or a budget.
The beavers built a network of dams in almost the exact area chosen for the proposed project, naturally restoring the wetland system officials had spent years trying to create. After seeing the results, authorities decided there was little point continuing with the original human-built dam.
Although some reports suggested the beavers completed the work overnight, experts say their construction likely took several weeks. The reason it seemed sudden is that the animals quietly worked away until their finished dams became impossible to miss.
Beavers are known as “ecosystem engineers” because their behaviour can reshape entire environments. By cutting trees and blocking streams, they create ponds and wetlands that support countless species, including fish, amphibians, insects, birds, and mammals.
Their wetlands also act as natural water reservoirs, helping during droughts, reducing flood risks, filtering water, storing carbon, and keeping landscapes wetter during wildfires…
Once heavily hunted across Europe, beaver populations have been recovering thanks to conservation efforts, proving that sometimes nature can solve problems humans spend years trying to fix…"
#water #hydrology #KlabavaRiver #Czech #BrdyRegion #protected #CzechRepublic #armytraining #military #beaver #Eurasianbeavers #dam #beaverdam #waterquality #restoration #biodiversity #crayfish #wetland #ecology #benefits #Beavers #NatureBasedSolutions #Wetlands #Ecology #Biodiversity #Agroforestry #EnvironmentalScience #Conservation #Wildlife #Ecosystem #bioviversity #conservation #restoration #landscaperecovery #EcosystemEngineers #nature #floodmanagement #FloodMitigation #flood #flooding #energy #floodrisk #sustainability #wetlands #hydrography #dams #impoundment #deadwood #waterresources #landscapeengineer #agriculture #benefits #vegetation #ecology #ecosystem #riversystemsstabilisation #naturalwaterregulation #resilience #drought #wildfire #valleysreborn #slowdetermination #fisheries #invertebrates #extremeweather #floodflows #sediment #baseflow #drought #landmanagement #naturalsystems #landuse #ecosystemengineers #watermanagement -
Eager Beavers - Rodents Engineer Czech Wetland Project After Years Of Human Delay [ecosystem engineers]
--
https://www.theguardian.com/world/2025/feb/11/beavers-save-czech-taxpayers-by-flooding-ex-army-training-site <-- shared technical media article
--
https://en.wikipedia.org/wiki/Beaver-engineered_dam_in_the_Czech_Republic <-- shared wiki technical page
--
https://phys.org/news/2025-02-fine-beavers-czech-treasury-million.html <-- shared technical article
--
https://youtu.be/GSTw8qmBP4Y?si=XK2Iy2pAltW91flj <-- shared video (Czech)
--
H/T @ScienceGirl
"We don't expect any conflict with the beaver in the next 10 years," ~ Bohumil Fiser from the Czech Nature Conservation Agency
--
“For seven years, planners struggled to complete a $1.2 million wetland restoration project in the Brdy region of the Czech Republic. The goal was to build a dam that would improve water management and bring back valuable wetland habitat, but the project remained trapped in a maze of permits and approvals.
Then a family of eight Eurasian beavers did what engineers had planned… without permits, machinery, or a budget.
The beavers built a network of dams in almost the exact area chosen for the proposed project, naturally restoring the wetland system officials had spent years trying to create. After seeing the results, authorities decided there was little point continuing with the original human-built dam.
Although some reports suggested the beavers completed the work overnight, experts say their construction likely took several weeks. The reason it seemed sudden is that the animals quietly worked away until their finished dams became impossible to miss.
Beavers are known as “ecosystem engineers” because their behaviour can reshape entire environments. By cutting trees and blocking streams, they create ponds and wetlands that support countless species, including fish, amphibians, insects, birds, and mammals.
Their wetlands also act as natural water reservoirs, helping during droughts, reducing flood risks, filtering water, storing carbon, and keeping landscapes wetter during wildfires…
Once heavily hunted across Europe, beaver populations have been recovering thanks to conservation efforts, proving that sometimes nature can solve problems humans spend years trying to fix…"
#water #hydrology #KlabavaRiver #Czech #BrdyRegion #protected #CzechRepublic #armytraining #military #beaver #Eurasianbeavers #dam #beaverdam #waterquality #restoration #biodiversity #crayfish #wetland #ecology #benefits #Beavers #NatureBasedSolutions #Wetlands #Ecology #Biodiversity #Agroforestry #EnvironmentalScience #Conservation #Wildlife #Ecosystem #bioviversity #conservation #restoration #landscaperecovery #EcosystemEngineers #nature #floodmanagement #FloodMitigation #flood #flooding #energy #floodrisk #sustainability #wetlands #hydrography #dams #impoundment #deadwood #waterresources #landscapeengineer #agriculture #benefits #vegetation #ecology #ecosystem #riversystemsstabilisation #naturalwaterregulation #resilience #drought #wildfire #valleysreborn #slowdetermination #fisheries #invertebrates #extremeweather #floodflows #sediment #baseflow #drought #landmanagement #naturalsystems #landuse #ecosystemengineers #watermanagement -
Eager Beavers - Rodents Engineer Czech Wetland Project After Years Of Human Delay [ecosystem engineers]
--
https://www.theguardian.com/world/2025/feb/11/beavers-save-czech-taxpayers-by-flooding-ex-army-training-site <-- shared technical media article
--
https://en.wikipedia.org/wiki/Beaver-engineered_dam_in_the_Czech_Republic <-- shared wiki technical page
--
https://phys.org/news/2025-02-fine-beavers-czech-treasury-million.html <-- shared technical article
--
https://youtu.be/GSTw8qmBP4Y?si=XK2Iy2pAltW91flj <-- shared video (Czech)
--
H/T @ScienceGirl
"We don't expect any conflict with the beaver in the next 10 years," ~ Bohumil Fiser from the Czech Nature Conservation Agency
--
“For seven years, planners struggled to complete a $1.2 million wetland restoration project in the Brdy region of the Czech Republic. The goal was to build a dam that would improve water management and bring back valuable wetland habitat, but the project remained trapped in a maze of permits and approvals.
Then a family of eight Eurasian beavers did what engineers had planned… without permits, machinery, or a budget.
The beavers built a network of dams in almost the exact area chosen for the proposed project, naturally restoring the wetland system officials had spent years trying to create. After seeing the results, authorities decided there was little point continuing with the original human-built dam.
Although some reports suggested the beavers completed the work overnight, experts say their construction likely took several weeks. The reason it seemed sudden is that the animals quietly worked away until their finished dams became impossible to miss.
Beavers are known as “ecosystem engineers” because their behaviour can reshape entire environments. By cutting trees and blocking streams, they create ponds and wetlands that support countless species, including fish, amphibians, insects, birds, and mammals.
Their wetlands also act as natural water reservoirs, helping during droughts, reducing flood risks, filtering water, storing carbon, and keeping landscapes wetter during wildfires…
Once heavily hunted across Europe, beaver populations have been recovering thanks to conservation efforts, proving that sometimes nature can solve problems humans spend years trying to fix…"
#water #hydrology #KlabavaRiver #Czech #BrdyRegion #protected #CzechRepublic #armytraining #military #beaver #Eurasianbeavers #dam #beaverdam #waterquality #restoration #biodiversity #crayfish #wetland #ecology #benefits #Beavers #NatureBasedSolutions #Wetlands #Ecology #Biodiversity #Agroforestry #EnvironmentalScience #Conservation #Wildlife #Ecosystem #bioviversity #conservation #restoration #landscaperecovery #EcosystemEngineers #nature #floodmanagement #FloodMitigation #flood #flooding #energy #floodrisk #sustainability #wetlands #hydrography #dams #impoundment #deadwood #waterresources #landscapeengineer #agriculture #benefits #vegetation #ecology #ecosystem #riversystemsstabilisation #naturalwaterregulation #resilience #drought #wildfire #valleysreborn #slowdetermination #fisheries #invertebrates #extremeweather #floodflows #sediment #baseflow #drought #landmanagement #naturalsystems #landuse #ecosystemengineers #watermanagement -
Eager Beavers - Rodents Engineer Czech Wetland Project After Years Of Human Delay [ecosystem engineers]
--
https://www.theguardian.com/world/2025/feb/11/beavers-save-czech-taxpayers-by-flooding-ex-army-training-site <-- shared technical media article
--
https://en.wikipedia.org/wiki/Beaver-engineered_dam_in_the_Czech_Republic <-- shared wiki technical page
--
https://phys.org/news/2025-02-fine-beavers-czech-treasury-million.html <-- shared technical article
--
https://youtu.be/GSTw8qmBP4Y?si=XK2Iy2pAltW91flj <-- shared video (Czech)
--
H/T @ScienceGirl
"We don't expect any conflict with the beaver in the next 10 years," ~ Bohumil Fiser from the Czech Nature Conservation Agency
--
“For seven years, planners struggled to complete a $1.2 million wetland restoration project in the Brdy region of the Czech Republic. The goal was to build a dam that would improve water management and bring back valuable wetland habitat, but the project remained trapped in a maze of permits and approvals.
Then a family of eight Eurasian beavers did what engineers had planned… without permits, machinery, or a budget.
The beavers built a network of dams in almost the exact area chosen for the proposed project, naturally restoring the wetland system officials had spent years trying to create. After seeing the results, authorities decided there was little point continuing with the original human-built dam.
Although some reports suggested the beavers completed the work overnight, experts say their construction likely took several weeks. The reason it seemed sudden is that the animals quietly worked away until their finished dams became impossible to miss.
Beavers are known as “ecosystem engineers” because their behaviour can reshape entire environments. By cutting trees and blocking streams, they create ponds and wetlands that support countless species, including fish, amphibians, insects, birds, and mammals.
Their wetlands also act as natural water reservoirs, helping during droughts, reducing flood risks, filtering water, storing carbon, and keeping landscapes wetter during wildfires…
Once heavily hunted across Europe, beaver populations have been recovering thanks to conservation efforts, proving that sometimes nature can solve problems humans spend years trying to fix…"
#water #hydrology #KlabavaRiver #Czech #BrdyRegion #protected #CzechRepublic #armytraining #military #beaver #Eurasianbeavers #dam #beaverdam #waterquality #restoration #biodiversity #crayfish #wetland #ecology #benefits #Beavers #NatureBasedSolutions #Wetlands #Ecology #Biodiversity #Agroforestry #EnvironmentalScience #Conservation #Wildlife #Ecosystem #bioviversity #conservation #restoration #landscaperecovery #EcosystemEngineers #nature #floodmanagement #FloodMitigation #flood #flooding #energy #floodrisk #sustainability #wetlands #hydrography #dams #impoundment #deadwood #waterresources #landscapeengineer #agriculture #benefits #vegetation #ecology #ecosystem #riversystemsstabilisation #naturalwaterregulation #resilience #drought #wildfire #valleysreborn #slowdetermination #fisheries #invertebrates #extremeweather #floodflows #sediment #baseflow #drought #landmanagement #naturalsystems #landuse #ecosystemengineers #watermanagement -
How Do Thermocline Depth Maps Help To Locate Bluefin Tuna?
(the sustainable recreational bluefin tuna fishery in New Zealand is spinning up)
--
https://www.fishingmaps.info/articles/bluefin-tuna-and-the-thermocline/ <-- shared technical article
--
https://youtu.be/jit_BjecD1I?si=Ici-Ar3UWlCNyble <-- shared Marine Stewardship Council video, “How science guides sustainable tuna fishing…”
--
https://www.nzgeo.com/stories/billion-dollar-fish/ <-- shared technical media article
--
[this post should not be considered an endorsement of a particular product, approach, organisation or professional(s)]
H/T @ Sam McClatchie | Rewired ex-NOAA Fisheries Oceanographer. Creator of Fishing Maps. Now based in Huia, near Auckland, New Zealand.
“The vertical structure of the upper ocean has a big effect on the productivity and distribution of plankton near the surface of the ocean. The vertical structure also affects the concentration of feed, and that affects the behaviour of Bluefin. Vertical structure of the water is controlled by the interaction of heating by the sun, wind-driven mixing, and the density of the water. In offshore areas, or in areas away from river outflows, density is determined mainly by water temperature. The sun warms the surface of the ocean, and the wind blowing over the ocean distributes the heat by mixing the water.
As the sun warms the surface water it becomes less dense and forms a cap sitting on top of the cold deeper water. The temperature changes rapidly at the boundary between the warm less dense surface water and the denser, cooler water below. This boundary is called the thermocline. If you have ever swum in a lake in the summer and found it warm as bathwater in the surface, but freezing cold when you dropped your feet down, you have experienced the effect of a thermocline.
When there is a warm cap on the ocean, the water is said to be stratified (or layered). If the wind has been calm, and the weather sunny, the warm surface layer will be stable, and strongly stratified conditions may develop. In these conditions, Bluefin dive frequently to relatively shallow depths (less than 100 metres). They dive rapidly, feed below the thermocline and return to the surface waters frequently, spending as much as 65% of their time in the upper 10 metres…
Concentrations of feed often occur just below the thermocline. These layers can be seen on an echosounder. Bluefin dive down through the thermocline to feed on these layers. When the water is strongly stratified, the Bluefin dive more frequently to feed. They also dive faster, and stay less time in the deep cold water than they do when the water is well mixed.
Bluefin use this foraging strategy during both day and night. These fish maintain a body temperature warmer than the water, so they remain highly efficient swimmers in cold water..."
#GIS #spatial #mapping #webmaps #mobile #bluefin #tuna #sustainable #recreational #fishing #fishery #NewZealand #fish #thermocline #depth #remotesensing #food #plankton #warming #watertemperature #marine #ocean #hydrology #river #outflows #hydrography #water #stratification #surface #depth #feeding #ecosystem #habitat -
How Do Thermocline Depth Maps Help To Locate Bluefin Tuna?
(the sustainable recreational bluefin tuna fishery in New Zealand is spinning up)
--
https://www.fishingmaps.info/articles/bluefin-tuna-and-the-thermocline/ <-- shared technical article
--
https://youtu.be/jit_BjecD1I?si=Ici-Ar3UWlCNyble <-- shared Marine Stewardship Council video, “How science guides sustainable tuna fishing…”
--
https://www.nzgeo.com/stories/billion-dollar-fish/ <-- shared technical media article
--
[this post should not be considered an endorsement of a particular product, approach, organisation or professional(s)]
H/T @ Sam McClatchie | Rewired ex-NOAA Fisheries Oceanographer. Creator of Fishing Maps. Now based in Huia, near Auckland, New Zealand.
“The vertical structure of the upper ocean has a big effect on the productivity and distribution of plankton near the surface of the ocean. The vertical structure also affects the concentration of feed, and that affects the behaviour of Bluefin. Vertical structure of the water is controlled by the interaction of heating by the sun, wind-driven mixing, and the density of the water. In offshore areas, or in areas away from river outflows, density is determined mainly by water temperature. The sun warms the surface of the ocean, and the wind blowing over the ocean distributes the heat by mixing the water.
As the sun warms the surface water it becomes less dense and forms a cap sitting on top of the cold deeper water. The temperature changes rapidly at the boundary between the warm less dense surface water and the denser, cooler water below. This boundary is called the thermocline. If you have ever swum in a lake in the summer and found it warm as bathwater in the surface, but freezing cold when you dropped your feet down, you have experienced the effect of a thermocline.
When there is a warm cap on the ocean, the water is said to be stratified (or layered). If the wind has been calm, and the weather sunny, the warm surface layer will be stable, and strongly stratified conditions may develop. In these conditions, Bluefin dive frequently to relatively shallow depths (less than 100 metres). They dive rapidly, feed below the thermocline and return to the surface waters frequently, spending as much as 65% of their time in the upper 10 metres…
Concentrations of feed often occur just below the thermocline. These layers can be seen on an echosounder. Bluefin dive down through the thermocline to feed on these layers. When the water is strongly stratified, the Bluefin dive more frequently to feed. They also dive faster, and stay less time in the deep cold water than they do when the water is well mixed.
Bluefin use this foraging strategy during both day and night. These fish maintain a body temperature warmer than the water, so they remain highly efficient swimmers in cold water..."
#GIS #spatial #mapping #webmaps #mobile #bluefin #tuna #sustainable #recreational #fishing #fishery #NewZealand #fish #thermocline #depth #remotesensing #food #plankton #warming #watertemperature #marine #ocean #hydrology #river #outflows #hydrography #water #stratification #surface #depth #feeding #ecosystem #habitat -
How Do Thermocline Depth Maps Help To Locate Bluefin Tuna?
(the sustainable recreational bluefin tuna fishery in New Zealand is spinning up)
--
https://www.fishingmaps.info/articles/bluefin-tuna-and-the-thermocline/ <-- shared technical article
--
https://youtu.be/jit_BjecD1I?si=Ici-Ar3UWlCNyble <-- shared Marine Stewardship Council video, “How science guides sustainable tuna fishing…”
--
https://www.nzgeo.com/stories/billion-dollar-fish/ <-- shared technical media article
--
[this post should not be considered an endorsement of a particular product, approach, organisation or professional(s)]
H/T @ Sam McClatchie | Rewired ex-NOAA Fisheries Oceanographer. Creator of Fishing Maps. Now based in Huia, near Auckland, New Zealand.
“The vertical structure of the upper ocean has a big effect on the productivity and distribution of plankton near the surface of the ocean. The vertical structure also affects the concentration of feed, and that affects the behaviour of Bluefin. Vertical structure of the water is controlled by the interaction of heating by the sun, wind-driven mixing, and the density of the water. In offshore areas, or in areas away from river outflows, density is determined mainly by water temperature. The sun warms the surface of the ocean, and the wind blowing over the ocean distributes the heat by mixing the water.
As the sun warms the surface water it becomes less dense and forms a cap sitting on top of the cold deeper water. The temperature changes rapidly at the boundary between the warm less dense surface water and the denser, cooler water below. This boundary is called the thermocline. If you have ever swum in a lake in the summer and found it warm as bathwater in the surface, but freezing cold when you dropped your feet down, you have experienced the effect of a thermocline.
When there is a warm cap on the ocean, the water is said to be stratified (or layered). If the wind has been calm, and the weather sunny, the warm surface layer will be stable, and strongly stratified conditions may develop. In these conditions, Bluefin dive frequently to relatively shallow depths (less than 100 metres). They dive rapidly, feed below the thermocline and return to the surface waters frequently, spending as much as 65% of their time in the upper 10 metres…
Concentrations of feed often occur just below the thermocline. These layers can be seen on an echosounder. Bluefin dive down through the thermocline to feed on these layers. When the water is strongly stratified, the Bluefin dive more frequently to feed. They also dive faster, and stay less time in the deep cold water than they do when the water is well mixed.
Bluefin use this foraging strategy during both day and night. These fish maintain a body temperature warmer than the water, so they remain highly efficient swimmers in cold water..."
#GIS #spatial #mapping #webmaps #mobile #bluefin #tuna #sustainable #recreational #fishing #fishery #NewZealand #fish #thermocline #depth #remotesensing #food #plankton #warming #watertemperature #marine #ocean #hydrology #river #outflows #hydrography #water #stratification #surface #depth #feeding #ecosystem #habitat -
How Do Thermocline Depth Maps Help To Locate Bluefin Tuna?
(the sustainable recreational bluefin tuna fishery in New Zealand is spinning up)
--
https://www.fishingmaps.info/articles/bluefin-tuna-and-the-thermocline/ <-- shared technical article
--
https://youtu.be/jit_BjecD1I?si=Ici-Ar3UWlCNyble <-- shared Marine Stewardship Council video, “How science guides sustainable tuna fishing…”
--
https://www.nzgeo.com/stories/billion-dollar-fish/ <-- shared technical media article
--
[this post should not be considered an endorsement of a particular product, approach, organisation or professional(s)]
H/T @ Sam McClatchie | Rewired ex-NOAA Fisheries Oceanographer. Creator of Fishing Maps. Now based in Huia, near Auckland, New Zealand.
“The vertical structure of the upper ocean has a big effect on the productivity and distribution of plankton near the surface of the ocean. The vertical structure also affects the concentration of feed, and that affects the behaviour of Bluefin. Vertical structure of the water is controlled by the interaction of heating by the sun, wind-driven mixing, and the density of the water. In offshore areas, or in areas away from river outflows, density is determined mainly by water temperature. The sun warms the surface of the ocean, and the wind blowing over the ocean distributes the heat by mixing the water.
As the sun warms the surface water it becomes less dense and forms a cap sitting on top of the cold deeper water. The temperature changes rapidly at the boundary between the warm less dense surface water and the denser, cooler water below. This boundary is called the thermocline. If you have ever swum in a lake in the summer and found it warm as bathwater in the surface, but freezing cold when you dropped your feet down, you have experienced the effect of a thermocline.
When there is a warm cap on the ocean, the water is said to be stratified (or layered). If the wind has been calm, and the weather sunny, the warm surface layer will be stable, and strongly stratified conditions may develop. In these conditions, Bluefin dive frequently to relatively shallow depths (less than 100 metres). They dive rapidly, feed below the thermocline and return to the surface waters frequently, spending as much as 65% of their time in the upper 10 metres…
Concentrations of feed often occur just below the thermocline. These layers can be seen on an echosounder. Bluefin dive down through the thermocline to feed on these layers. When the water is strongly stratified, the Bluefin dive more frequently to feed. They also dive faster, and stay less time in the deep cold water than they do when the water is well mixed.
Bluefin use this foraging strategy during both day and night. These fish maintain a body temperature warmer than the water, so they remain highly efficient swimmers in cold water..."
#GIS #spatial #mapping #webmaps #mobile #bluefin #tuna #sustainable #recreational #fishing #fishery #NewZealand #fish #thermocline #depth #remotesensing #food #plankton #warming #watertemperature #marine #ocean #hydrology #river #outflows #hydrography #water #stratification #surface #depth #feeding #ecosystem #habitat -
How Do Thermocline Depth Maps Help To Locate Bluefin Tuna?
(the sustainable recreational bluefin tuna fishery in New Zealand is spinning up)
--
https://www.fishingmaps.info/articles/bluefin-tuna-and-the-thermocline/ <-- shared technical article
--
https://youtu.be/jit_BjecD1I?si=Ici-Ar3UWlCNyble <-- shared Marine Stewardship Council video, “How science guides sustainable tuna fishing…”
--
https://www.nzgeo.com/stories/billion-dollar-fish/ <-- shared technical media article
--
[this post should not be considered an endorsement of a particular product, approach, organisation or professional(s)]
H/T @ Sam McClatchie | Rewired ex-NOAA Fisheries Oceanographer. Creator of Fishing Maps. Now based in Huia, near Auckland, New Zealand.
“The vertical structure of the upper ocean has a big effect on the productivity and distribution of plankton near the surface of the ocean. The vertical structure also affects the concentration of feed, and that affects the behaviour of Bluefin. Vertical structure of the water is controlled by the interaction of heating by the sun, wind-driven mixing, and the density of the water. In offshore areas, or in areas away from river outflows, density is determined mainly by water temperature. The sun warms the surface of the ocean, and the wind blowing over the ocean distributes the heat by mixing the water.
As the sun warms the surface water it becomes less dense and forms a cap sitting on top of the cold deeper water. The temperature changes rapidly at the boundary between the warm less dense surface water and the denser, cooler water below. This boundary is called the thermocline. If you have ever swum in a lake in the summer and found it warm as bathwater in the surface, but freezing cold when you dropped your feet down, you have experienced the effect of a thermocline.
When there is a warm cap on the ocean, the water is said to be stratified (or layered). If the wind has been calm, and the weather sunny, the warm surface layer will be stable, and strongly stratified conditions may develop. In these conditions, Bluefin dive frequently to relatively shallow depths (less than 100 metres). They dive rapidly, feed below the thermocline and return to the surface waters frequently, spending as much as 65% of their time in the upper 10 metres…
Concentrations of feed often occur just below the thermocline. These layers can be seen on an echosounder. Bluefin dive down through the thermocline to feed on these layers. When the water is strongly stratified, the Bluefin dive more frequently to feed. They also dive faster, and stay less time in the deep cold water than they do when the water is well mixed.
Bluefin use this foraging strategy during both day and night. These fish maintain a body temperature warmer than the water, so they remain highly efficient swimmers in cold water..."
#GIS #spatial #mapping #webmaps #mobile #bluefin #tuna #sustainable #recreational #fishing #fishery #NewZealand #fish #thermocline #depth #remotesensing #food #plankton #warming #watertemperature #marine #ocean #hydrology #river #outflows #hydrography #water #stratification #surface #depth #feeding #ecosystem #habitat -
Statistical Characterization Of High Flow Volumes Across The Conterminous United States Supporting Managed Aquifer Recharge
--
https://doi.org/10.1029/2025WR041955 <-- shared paper
--
https://www.latimes.com/environment/story/2025-06-24/california-2024-groundwater-report <-- shared media article
--
#water #hydrology #groundwater #watersecurity #waterresources #watersupply #watermanagement #USA #CONUS #aquifer #ManagedAquiferRecharge #MAR #FloodMAR #depletion #overpumping #flood #flooding #recharge #planning #policy #streamflow #extremes #hydrography #highflowvolumes #HFV #model #modeling #uncertainly #siting #screening #usecase #spatialanalysis #geostatics #spatiotemporal #mapping #hydrogeomorphology -
Statistical Characterization Of High Flow Volumes Across The Conterminous United States Supporting Managed Aquifer Recharge
--
https://doi.org/10.1029/2025WR041955 <-- shared paper
--
https://www.latimes.com/environment/story/2025-06-24/california-2024-groundwater-report <-- shared media article
--
#water #hydrology #groundwater #watersecurity #waterresources #watersupply #watermanagement #USA #CONUS #aquifer #ManagedAquiferRecharge #MAR #FloodMAR #depletion #overpumping #flood #flooding #recharge #planning #policy #streamflow #extremes #hydrography #highflowvolumes #HFV #model #modeling #uncertainly #siting #screening #usecase #spatialanalysis #geostatics #spatiotemporal #mapping #hydrogeomorphology -
Statistical Characterization Of High Flow Volumes Across The Conterminous United States Supporting Managed Aquifer Recharge
--
https://doi.org/10.1029/2025WR041955 <-- shared paper
--
https://www.latimes.com/environment/story/2025-06-24/california-2024-groundwater-report <-- shared media article
--
#water #hydrology #groundwater #watersecurity #waterresources #watersupply #watermanagement #USA #CONUS #aquifer #ManagedAquiferRecharge #MAR #FloodMAR #depletion #overpumping #flood #flooding #recharge #planning #policy #streamflow #extremes #hydrography #highflowvolumes #HFV #model #modeling #uncertainly #siting #screening #usecase #spatialanalysis #geostatics #spatiotemporal #mapping #hydrogeomorphology -
Statistical Characterization Of High Flow Volumes Across The Conterminous United States Supporting Managed Aquifer Recharge
--
https://doi.org/10.1029/2025WR041955 <-- shared paper
--
https://www.latimes.com/environment/story/2025-06-24/california-2024-groundwater-report <-- shared media article
--
#water #hydrology #groundwater #watersecurity #waterresources #watersupply #watermanagement #USA #CONUS #aquifer #ManagedAquiferRecharge #MAR #FloodMAR #depletion #overpumping #flood #flooding #recharge #planning #policy #streamflow #extremes #hydrography #highflowvolumes #HFV #model #modeling #uncertainly #siting #screening #usecase #spatialanalysis #geostatics #spatiotemporal #mapping #hydrogeomorphology -
Statistical Characterization Of High Flow Volumes Across The Conterminous United States Supporting Managed Aquifer Recharge
--
https://doi.org/10.1029/2025WR041955 <-- shared paper
--
https://www.latimes.com/environment/story/2025-06-24/california-2024-groundwater-report <-- shared media article
--
#water #hydrology #groundwater #watersecurity #waterresources #watersupply #watermanagement #USA #CONUS #aquifer #ManagedAquiferRecharge #MAR #FloodMAR #depletion #overpumping #flood #flooding #recharge #planning #policy #streamflow #extremes #hydrography #highflowvolumes #HFV #model #modeling #uncertainly #siting #screening #usecase #spatialanalysis #geostatics #spatiotemporal #mapping #hydrogeomorphology