#watermanagement — Public Fediverse posts on home.social

Eugene @[email protected] · 2026-09-17 · 20:29 UTC

🧪 Continuing my computational experiments on Kryvbas high-mineralized mine water management.

☝️ This time, I took available water chemical analyses covering a 10+ year period (2012-2023) - a total of 40 water samples from the storage pond in the Svystunova gully. Freeze crystallization is modeled in two stages: the first stage ends at -20℃ and involves removing the formed mirabilite to prevent further dissolution during the hydrohalite precipitation stage.

📈 The graph shows the averaged results. Despite variations in the initial water composition - the freezing crystallization pathway remains stable. The variation in the onset of precipitation in the first stage is ∓3,5℃, in the second - tenths of a degree. The precipitate mass yields differ. Meanwhile, magnesium and potassium minerals - remain undersaturated all the way to the boundary of the modeling zone.

#WaterManagement #PHREEQC #EnvironmentalEngineering #Mining #SvystunovaGully #KryvyiRihBasin #EFC #EutecticFreezeCrystallization #FREZCHEM

#mining #efc #environmentalengineering #watermanagement #phreeqc #svystunovagully

Eugene @[email protected] · 2026-09-17 · 20:29 UTC

🧪 Continuing my computational experiments on Kryvbas high-mineralized mine water management.

☝️ This time, I took available water chemical analyses covering a 10+ year period (2012-2023) - a total of 40 water samples from the storage pond in the Svystunova gully. Freeze crystallization is modeled in two stages: the first stage ends at -20℃ and involves removing the formed mirabilite to prevent further dissolution during the hydrohalite precipitation stage.

📈 The graph shows the averaged results. Despite variations in the initial water composition - the freezing crystallization pathway remains stable. The variation in the onset of precipitation in the first stage is ∓3,5℃, in the second - tenths of a degree. The precipitate mass yields differ. Meanwhile, magnesium and potassium minerals - remain undersaturated all the way to the boundary of the modeling zone.

#WaterManagement #PHREEQC #EnvironmentalEngineering #Mining #SvystunovaGully #KryvyiRihBasin #EFC #EutecticFreezeCrystallization #FREZCHEM

#mining #efc #environmentalengineering #watermanagement #phreeqc #svystunovagully

Eugene @[email protected] · 2026-09-17 · 20:29 UTC

🧪 Continuing my computational experiments on Kryvbas high-mineralized mine water management.

☝️ This time, I took available water chemical analyses covering a 10+ year period (2012-2023) - a total of 40 water samples from the storage pond in the Svystunova gully. Freeze crystallization is modeled in two stages: the first stage ends at -20℃ and involves removing the formed mirabilite to prevent further dissolution during the hydrohalite precipitation stage.

📈 The graph shows the averaged results. Despite variations in the initial water composition - the freezing crystallization pathway remains stable. The variation in the onset of precipitation in the first stage is ∓3,5℃, in the second - tenths of a degree. The precipitate mass yields differ. Meanwhile, magnesium and potassium minerals - remain undersaturated all the way to the boundary of the modeling zone.

#WaterManagement #PHREEQC #EnvironmentalEngineering #Mining #SvystunovaGully #KryvyiRihBasin #EFC #EutecticFreezeCrystallization #FREZCHEM

#eutecticfreezecrystallization #frezchem #kryvyirihbasin #svystunovagully #phreeqc #watermanagement

💧🌏 Greg Cocks @[email protected] · 2026-08-24 · 21:36 UTC

Modeling Climate Change Impacts On Blue And Green Water In The Ethiopian Upper Blue Nile Basin
--
https://doi.org/10.1016/j.ejrh.2026.103871 <-- shared paper
--
H/T @Dessalegn worku Ayalew
“The present study assesses the impacts of climate change on blue and green water in the Kessie Watershed of the Ethiopian Upper Blue Nile Basin using the SWAT+ model.
[The authors] set up [a] SWAT+ model using quality-controlled and homogenized observational climate time series… and calibrated it using a multisite calibration approach. [They] selected CMIP6 climate models for future simulations and bias-correction methods through a comprehensive performance assessment... Building on these previous studies, the present research further evaluates the reliability of combining robust climate-model selection with optimal bias-correction methods to improve the reliability of hydrological simulations. [They] then used the best-performing climate models, bias-corrected using the optimal methods, to project future changes in blue and green water in the study area…
KEY FINDINGS:
• SWAT+ effectively represented hydrological processes across multiple gauging stations in the Ethiopian Upper Blue Nile Basin.
• Ensembles of CMIP6 climate models improved the reliability of hydrological simulations compared with individual climate models.
• Optimized climate-model selection reduced biases in hydrological simulations more than bias correction alone.
• Arbitrary selection of climate models can degrade hydrological simulations, even when their outputs are bias-corrected using robust methods.
• Both blue and green water are projected to increase under future climate change in the Ethiopian Upper Blue Nile Basin.
• Blue water exhibits greater seasonality and climate sensitivity than green water flow and green water storage.
The study also provides sustainable water management options for adapting to the impacts of climate change, with implications for water resource planning and management in the Upper Blue Nile Basin…”
#Bluewater #Greenwater #CMIP6 #GCMs #Modelensemble #SSPscenarios #SWAT #Ethopia #UpperNile #Nile #NileBasin #gaging #gauging #Africa #climatechange #impacts #water #hydrology #KessieWatershed #EthiopianUpperBlueNileBasin #model #modeling #spatialanalysis #spatiotemporal #CMIP6 #waterresources #watermanagement #ecosystem #habitat #environment

#bluewater #greenwater #cmip6 #gcms #modelensemble #sspscenarios

💧🌏 Greg Cocks @[email protected] · 2026-08-24 · 21:36 UTC

Modeling Climate Change Impacts On Blue And Green Water In The Ethiopian Upper Blue Nile Basin
--
https://doi.org/10.1016/j.ejrh.2026.103871 <-- shared paper
--
H/T @Dessalegn worku Ayalew
“The present study assesses the impacts of climate change on blue and green water in the Kessie Watershed of the Ethiopian Upper Blue Nile Basin using the SWAT+ model.
[The authors] set up [a] SWAT+ model using quality-controlled and homogenized observational climate time series… and calibrated it using a multisite calibration approach. [They] selected CMIP6 climate models for future simulations and bias-correction methods through a comprehensive performance assessment... Building on these previous studies, the present research further evaluates the reliability of combining robust climate-model selection with optimal bias-correction methods to improve the reliability of hydrological simulations. [They] then used the best-performing climate models, bias-corrected using the optimal methods, to project future changes in blue and green water in the study area…
KEY FINDINGS:
• SWAT+ effectively represented hydrological processes across multiple gauging stations in the Ethiopian Upper Blue Nile Basin.
• Ensembles of CMIP6 climate models improved the reliability of hydrological simulations compared with individual climate models.
• Optimized climate-model selection reduced biases in hydrological simulations more than bias correction alone.
• Arbitrary selection of climate models can degrade hydrological simulations, even when their outputs are bias-corrected using robust methods.
• Both blue and green water are projected to increase under future climate change in the Ethiopian Upper Blue Nile Basin.
• Blue water exhibits greater seasonality and climate sensitivity than green water flow and green water storage.
The study also provides sustainable water management options for adapting to the impacts of climate change, with implications for water resource planning and management in the Upper Blue Nile Basin…”
#Bluewater #Greenwater #CMIP6 #GCMs #Modelensemble #SSPscenarios #SWAT #Ethopia #UpperNile #Nile #NileBasin #gaging #gauging #Africa #climatechange #impacts #water #hydrology #KessieWatershed #EthiopianUpperBlueNileBasin #model #modeling #spatialanalysis #spatiotemporal #CMIP6 #waterresources #watermanagement #ecosystem #habitat #environment

#bluewater #greenwater #cmip6 #gcms #modelensemble #sspscenarios

💧🌏 Greg Cocks @[email protected] · 2026-08-24 · 21:36 UTC

Modeling Climate Change Impacts On Blue And Green Water In The Ethiopian Upper Blue Nile Basin
--
https://doi.org/10.1016/j.ejrh.2026.103871 <-- shared paper
--
H/T @Dessalegn worku Ayalew
“The present study assesses the impacts of climate change on blue and green water in the Kessie Watershed of the Ethiopian Upper Blue Nile Basin using the SWAT+ model.
[The authors] set up [a] SWAT+ model using quality-controlled and homogenized observational climate time series… and calibrated it using a multisite calibration approach. [They] selected CMIP6 climate models for future simulations and bias-correction methods through a comprehensive performance assessment... Building on these previous studies, the present research further evaluates the reliability of combining robust climate-model selection with optimal bias-correction methods to improve the reliability of hydrological simulations. [They] then used the best-performing climate models, bias-corrected using the optimal methods, to project future changes in blue and green water in the study area…
KEY FINDINGS:
• SWAT+ effectively represented hydrological processes across multiple gauging stations in the Ethiopian Upper Blue Nile Basin.
• Ensembles of CMIP6 climate models improved the reliability of hydrological simulations compared with individual climate models.
• Optimized climate-model selection reduced biases in hydrological simulations more than bias correction alone.
• Arbitrary selection of climate models can degrade hydrological simulations, even when their outputs are bias-corrected using robust methods.
• Both blue and green water are projected to increase under future climate change in the Ethiopian Upper Blue Nile Basin.
• Blue water exhibits greater seasonality and climate sensitivity than green water flow and green water storage.
The study also provides sustainable water management options for adapting to the impacts of climate change, with implications for water resource planning and management in the Upper Blue Nile Basin…”
#Bluewater #Greenwater #CMIP6 #GCMs #Modelensemble #SSPscenarios #SWAT #Ethopia #UpperNile #Nile #NileBasin #gaging #gauging #Africa #climatechange #impacts #water #hydrology #KessieWatershed #EthiopianUpperBlueNileBasin #model #modeling #spatialanalysis #spatiotemporal #CMIP6 #waterresources #watermanagement #ecosystem #habitat #environment

#bluewater #greenwater #cmip6 #gcms #modelensemble #sspscenarios

💧🌏 Greg Cocks @[email protected] · 2026-08-24 · 21:36 UTC

Modeling Climate Change Impacts On Blue And Green Water In The Ethiopian Upper Blue Nile Basin
--
https://doi.org/10.1016/j.ejrh.2026.103871 <-- shared paper
--
H/T @Dessalegn worku Ayalew
“The present study assesses the impacts of climate change on blue and green water in the Kessie Watershed of the Ethiopian Upper Blue Nile Basin using the SWAT+ model.
[The authors] set up [a] SWAT+ model using quality-controlled and homogenized observational climate time series… and calibrated it using a multisite calibration approach. [They] selected CMIP6 climate models for future simulations and bias-correction methods through a comprehensive performance assessment... Building on these previous studies, the present research further evaluates the reliability of combining robust climate-model selection with optimal bias-correction methods to improve the reliability of hydrological simulations. [They] then used the best-performing climate models, bias-corrected using the optimal methods, to project future changes in blue and green water in the study area…
KEY FINDINGS:
• SWAT+ effectively represented hydrological processes across multiple gauging stations in the Ethiopian Upper Blue Nile Basin.
• Ensembles of CMIP6 climate models improved the reliability of hydrological simulations compared with individual climate models.
• Optimized climate-model selection reduced biases in hydrological simulations more than bias correction alone.
• Arbitrary selection of climate models can degrade hydrological simulations, even when their outputs are bias-corrected using robust methods.
• Both blue and green water are projected to increase under future climate change in the Ethiopian Upper Blue Nile Basin.
• Blue water exhibits greater seasonality and climate sensitivity than green water flow and green water storage.
The study also provides sustainable water management options for adapting to the impacts of climate change, with implications for water resource planning and management in the Upper Blue Nile Basin…”
#Bluewater #Greenwater #CMIP6 #GCMs #Modelensemble #SSPscenarios #SWAT #Ethopia #UpperNile #Nile #NileBasin #gaging #gauging #Africa #climatechange #impacts #water #hydrology #KessieWatershed #EthiopianUpperBlueNileBasin #model #modeling #spatialanalysis #spatiotemporal #CMIP6 #waterresources #watermanagement #ecosystem #habitat #environment

#environment #habitat #ecosystem #watermanagement #waterresources #spatiotemporal

💧🌏 Greg Cocks @GregCocks · 2026-08-24 · 21:36 UTC

Modeling Climate Change Impacts On Blue And Green Water In The Ethiopian Upper Blue Nile Basin
--
https://doi.org/10.1016/j.ejrh.2026.103871 <-- shared paper
--
H/T @Dessalegn worku Ayalew
“The present study assesses the impacts of climate change on blue and green water in the Kessie Watershed of the Ethiopian Upper Blue Nile Basin using the SWAT+ model.
[The authors] set up [a] SWAT+ model using quality-controlled and homogenized observational climate time series… and calibrated it using a multisite calibration approach. [They] selected CMIP6 climate models for future simulations and bias-correction methods through a comprehensive performance assessment... Building on these previous studies, the present research further evaluates the reliability of combining robust climate-model selection with optimal bias-correction methods to improve the reliability of hydrological simulations. [They] then used the best-performing climate models, bias-corrected using the optimal methods, to project future changes in blue and green water in the study area…
KEY FINDINGS:
• SWAT+ effectively represented hydrological processes across multiple gauging stations in the Ethiopian Upper Blue Nile Basin.
• Ensembles of CMIP6 climate models improved the reliability of hydrological simulations compared with individual climate models.
• Optimized climate-model selection reduced biases in hydrological simulations more than bias correction alone.
• Arbitrary selection of climate models can degrade hydrological simulations, even when their outputs are bias-corrected using robust methods.
• Both blue and green water are projected to increase under future climate change in the Ethiopian Upper Blue Nile Basin.
• Blue water exhibits greater seasonality and climate sensitivity than green water flow and green water storage.
The study also provides sustainable water management options for adapting to the impacts of climate change, with implications for water resource planning and management in the Upper Blue Nile Basin…”
#Bluewater #Greenwater #CMIP6 #GCMs #Modelensemble #SSPscenarios #SWAT #Ethopia #UpperNile #Nile #NileBasin #gaging #gauging #Africa #climatechange #impacts #water #hydrology #KessieWatershed #EthiopianUpperBlueNileBasin #model #modeling #spatialanalysis #spatiotemporal #CMIP6 #waterresources #watermanagement #ecosystem #habitat #environment