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#bathymetry — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #bathymetry, aggregated by home.social.

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  1. Impact of River Morphology on River–Groundwater Exchange in Braided River Systems
    --
    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

  2. Impact of River Morphology on River–Groundwater Exchange in Braided River Systems
    --
    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...”

  3. Advancing Detailed Flood Hazard Identification in Alberta, Canada - Insights from Two Recent Flood Studies
    --
    doi.org/10.3390/w18131592 <-- shared paper
    --
    “The increasing frequency of floods and the severity of their consequences for public safety, infrastructure, and the economy demand improved methods for flood hazard identification. Flood studies that include flood hazard mapping are critical tools for informing emergency response and flood recovery, as well as for land use and mitigation planning. The methodology for such flood studies has evolved, and access to more powerful computational resources and high-resolution base data has contributed to the increased use of two-dimensional hydraulic modelling, where one-dimensional modelling previously was the default. However, local-scale flood studies face real-world constraints, including sparse data, challenging hydrologic conditions, and budget limitations, which can hinder the application of advanced techniques. This study addresses these challenges through innovative, practice-driven solutions in two case studies in Alberta, Canada: a small, partly channelised prairie stream network (Wolf Creek, Lacombe) and a laterally dynamic river on a distributary delta (Swan River, Kinuso). Three core components of flood hazard studies are described: field survey data collection, regional hydrology assessment, and hydraulic modelling. Key findings include demonstrating that LiDAR-derived terrain models alone cannot capture channel conveyance, the importance of low-flow calibration in the absence of high-water marks, the selection of a modelling methodology based on bathymetric and topographic features within a study area, and the development of inflow hydrographs for unsteady-state simulation in flat floodplains…”
    #FloodMapping #FloodRisk #Hydrology #HydraulicModeling #HECRAS #WaterResources #Alberta #Resilience #RiverSurvey #spatialanlaysis #spatiotemporal #floodhazardmapping #HECRAS #model #modeling #remotesensing #LiDAR #bathymetry #floodfrequencyanalysis #unsteadysimulation #FHIMP #FHIP #WoldCreek #Lacombe #SwanRiver #Kinuso #Alberta #Canada #localscale #provincialfloodstudy # prairie #stream #river #flood #flooding #water #hydrology #risk #hazard #watershed #publicsafety #cost #damage #economics #infrastructure #use #practicedriven #floodhazard #survey #hydraulic #terrainmodels #hydrogeomorphology #topography #elevation #floodplain
    @Alberta Environment and Protected Areas | @Government of Alberta | @Barr Engineering

  4. Advancing Detailed Flood Hazard Identification in Alberta, Canada - Insights from Two Recent Flood Studies
    --
    doi.org/10.3390/w18131592 <-- shared paper
    --
    “The increasing frequency of floods and the severity of their consequences for public safety, infrastructure, and the economy demand improved methods for flood hazard identification. Flood studies that include flood hazard mapping are critical tools for informing emergency response and flood recovery, as well as for land use and mitigation planning. The methodology for such flood studies has evolved, and access to more powerful computational resources and high-resolution base data has contributed to the increased use of two-dimensional hydraulic modelling, where one-dimensional modelling previously was the default. However, local-scale flood studies face real-world constraints, including sparse data, challenging hydrologic conditions, and budget limitations, which can hinder the application of advanced techniques. This study addresses these challenges through innovative, practice-driven solutions in two case studies in Alberta, Canada: a small, partly channelised prairie stream network (Wolf Creek, Lacombe) and a laterally dynamic river on a distributary delta (Swan River, Kinuso). Three core components of flood hazard studies are described: field survey data collection, regional hydrology assessment, and hydraulic modelling. Key findings include demonstrating that LiDAR-derived terrain models alone cannot capture channel conveyance, the importance of low-flow calibration in the absence of high-water marks, the selection of a modelling methodology based on bathymetric and topographic features within a study area, and the development of inflow hydrographs for unsteady-state simulation in flat floodplains…”
    # prairie
    @Alberta Environment and Protected Areas | @Government of Alberta | @Barr Engineering

  5. Permafrost Distribution, Degradation, And Potential Mass Movement Cascades In The Western Himalaya Using Machine Learning And Numerical Models
    --
    doi.org/10.1038/s44304-026-002 <-- shared paper
    --
    doi.org/10.1038/s41598-025-220 <-- shared (earlier) paper
    --
    doi.org/10.1080/2150704X.2025. <-- shared (earlier) paper
    --
    H/T @abhinav Alangadan
    “Can we develop a first-order understanding of permafrost degradation and glacial lakes exposed to degradation-induced mass movements in the Himalaya?
    [The authors] tried to address this question. The study [first link above] integrates machine learning, statistical modeling, and numerical modeling to investigate high-resolution permafrost distribution, potential degradation, and associated mass-movement hazards in the Kinnaur district of Himachal Pradesh, India.
    Using rock glaciers as proxies, [they] generated a high-resolution permafrost distribution using machine learning, while potential degradation zones were delineated using the 0°C isotherm as a first-order indicator. [They] further identified glacial lakes located near potentially degrading permafrost zones and reconstructed their bathymetry. A detailed scenario-based GLOF process-chain simulation was then carried out for Kashang Lake using r.avaflow and HEC-RAS.
    [Their] results indicate that seven glacial lakes in #Kinnaur are located close to potentially degrading permafrost zones. The simulations further show that a potential GLOF from Kashang Lake could inundate critical downstream infrastructure, including nearly 11 km of National Highway 5…”
    #permafrost #distribution #GIS #spatial #mapping #Himalayas #India #Kinnaur #HimachalPradesh #KashangLake #massmovement #engineeringgeology #machinelearning #AI #model #modeling #numericalmodel #glaciallakes #glaciet #glacial #glaciallakeoutburstflood #GLOF #cryosphere #geostatistics #rockglaciers #GeoAI #bathymetry #processchainsimulation #HECRAS #avaflow #risk #hazard #mitigation #riskassessment #infrastructure #HEP #publicsafety #downstream #avalanche

  6. Permafrost Distribution, Degradation, And Potential Mass Movement Cascades In The Western Himalaya Using Machine Learning And Numerical Models
    --
    doi.org/10.1038/s44304-026-002 <-- shared paper
    --
    doi.org/10.1038/s41598-025-220 <-- shared (earlier) paper
    --
    doi.org/10.1080/2150704X.2025. <-- shared (earlier) paper
    --
    H/T @abhinav Alangadan
    “Can we develop a first-order understanding of permafrost degradation and glacial lakes exposed to degradation-induced mass movements in the Himalaya?
    [The authors] tried to address this question. The study [first link above] integrates machine learning, statistical modeling, and numerical modeling to investigate high-resolution permafrost distribution, potential degradation, and associated mass-movement hazards in the Kinnaur district of Himachal Pradesh, India.
    Using rock glaciers as proxies, [they] generated a high-resolution permafrost distribution using machine learning, while potential degradation zones were delineated using the 0°C isotherm as a first-order indicator. [They] further identified glacial lakes located near potentially degrading permafrost zones and reconstructed their bathymetry. A detailed scenario-based GLOF process-chain simulation was then carried out for Kashang Lake using r.avaflow and HEC-RAS.
    [Their] results indicate that seven glacial lakes in are located close to potentially degrading permafrost zones. The simulations further show that a potential GLOF from Kashang Lake could inundate critical downstream infrastructure, including nearly 11 km of National Highway 5…”

  7. USGS CoNED (TopoBathy) WebMap Viewer & (Open) Data Downloader
    --
    topotools.cr.usgs.gov/topobath <-- shared Viewer webmap & download selector
    --
    usgs.gov/coastal-changes-and-i <-- shared USGS CoNED overview/entry page
    --
    [I used to shore dive in the Straits Of Juan de Fucca, Washington State side, and Crescent Lake - so I chose that area as a CoNED example to explore; good memories, including of the 18 Wheeler Burger with pie & coffee in Joyce, WA on drizzly days]
    ,
    @USGS

  8. Day 28: Black

    On this Black Friday, I found today’s theme in the depths of the Black Sea 🌊.

    Using the OpenTopography DEM Downloader, I grabbed the Global Bathymetry SRTM15+ V2.1 dataset, calculated 100 m contours, and applied the Tanaka method with a style from the QGIS Hub plugin. 🎨

  9. #30DayMapChallenge Day 28: Black

    On this Black Friday, I found today’s theme in the depths of the Black Sea 🌊.

    Using the OpenTopography DEM Downloader, I grabbed the Global Bathymetry SRTM15+ V2.1 dataset, calculated 100 m contours, and applied the Tanaka method with a style from the QGIS Hub plugin. 🎨

    #QGIS #Cartography #OpenData #Bathymetry #BlackSea #GIS #Mapping

  10. Day 20 of : Water 🌊
    Here’s the Mediterranean Sea in stunning detail using the ETOPO1 global relief model — deep trenches, shallow shelves, and surrounding terrain all in one map.

    R + terra + ggplot2 💙

  11. Day 20 of #30DayMapChallenge: Water 🌊
    Here’s the Mediterranean Sea in stunning detail using the ETOPO1 global relief model — deep trenches, shallow shelves, and surrounding terrain all in one map.

    R + terra + ggplot2 💙

    #RStats #GIS #Bathymetry #Mediterranean #DataViz #Geospatial

  12. A detailed bathymetry model of Lake Victoria 🗺️🌊
    Dataset source: Harvard Dataverse (Remastered Version)

    Exploring the depths of Africa’s largest lake across 🇹🇿 🇰🇪 🇺🇬

    #Victoria #LakeVictoria #Tanzania #Kenya #Uganda #EastAfrica #Africa #GIS #Geospatial #Cartography #DataVisualization #Dataviz #Bathymetry #b3d #Map

  13. Intense Groundwater Flow Destabilizes Ice In North America's Great Lakes, Simulations Show
    --
    phys.org/news/2025-09-intense- <-- shared technical article
    --
    doi.org/10.1029/2025WR040581 <-- shared paper
    --
    "KEY POINTS:
    • Groundwater inflow enhances winter lake ice thickness by stabilizing the water column and reducing vertical mixing
    • Ice responses to groundwater are strongest in coastal zones due to higher flux and shallow bathymetry
    • Including groundwater in coupled models improves understanding of ice formation and winter lake processes…”
    #water #hydrology #groundwater #flux #flow #GreatLakes #USA #LakeMichigan #LakeHuron #ice #climatechange #model #modeling #shoreline #coast #lakeice #melt #hydrodynamic #spatialanalysis #spatiotemporal #thermal #stratification #winter #bathymetry #coupledmodels #processes

  14. Intense Groundwater Flow Destabilizes Ice In North America's Great Lakes, Simulations Show
    --
    phys.org/news/2025-09-intense- <-- shared technical article
    --
    doi.org/10.1029/2025WR040581 <-- shared paper
    --
    "KEY POINTS:
    • Groundwater inflow enhances winter lake ice thickness by stabilizing the water column and reducing vertical mixing
    • Ice responses to groundwater are strongest in coastal zones due to higher flux and shallow bathymetry
    • Including groundwater in coupled models improves understanding of ice formation and winter lake processes…”

  15. Still on my #Bathymetry bullshit. In my ocean currents #Blender scene I'm using #Nasa bathymetry data and #GeometryNodes to drive the elevation of the earth model. Because the earth is essentially a very smooth sphere I have to greatly exaggerate the depth, with a non-linear gradient between the underwater regions and the coastal shelf. I was doing it with a Float Curve node, but I wanted to be able to easily tweak the parameters of where the points on the curve were.
    Annoyingly there's no access to the points in a float curve, as node inputs or even with a #python data path that I could script. So I rigged up this node group to mimic the action of the float curve. I use a couple of Map Range nodes for each part of the line and switch between their output. It works well for a linear curve, I'm going to have to investigate whether the smooth interpolation in the Map Range node will let me achieve the same results as a float curve, and maybe automate it a bit.
    #b3d #ScientificIllustration

  16. Still on my #Bathymetry bullshit. In my ocean currents #Blender scene I'm using #Nasa bathymetry data and #GeometryNodes to drive the elevation of the earth model. Because the earth is essentially a very smooth sphere I have to greatly exaggerate the depth, with a non-linear gradient between the underwater regions and the coastal shelf. I was doing it with a Float Curve node, but I wanted to be able to easily tweak the parameters of where the points on the curve were.
    Annoyingly there's no access to the points in a float curve, as node inputs or even with a #python data path that I could script. So I rigged up this node group to mimic the action of the float curve. I use a couple of Map Range nodes for each part of the line and switch between their output. It works well for a linear curve, I'm going to have to investigate whether the smooth interpolation in the Map Range node will let me achieve the same results as a float curve, and maybe automate it a bit.
    #b3d #ScientificIllustration

  17. Combining physical and artificial intelligence models to improve satellite-derived bathymetric (SDB) mapping in shallow areas compared to conventional methods #bathymetry

    sciencedirect.com/science/arti

  18. Combining physical and artificial intelligence models to improve satellite-derived bathymetric (SDB) mapping in shallow areas compared to conventional methods #bathymetry

    sciencedirect.com/science/arti

  19. Mid-June we spent 2 days on a #Fieldtrip to the #Maade #River in #Wilhelmshaven as part of our #METAscales project
    Day 1: Installed two new #SEBA gauges to track water level & conductivity—crucial in our sluice-and-pumping-station-drained catchment. 🔧 🌊 🛠️
    Day 2: Gained hands-on experience with our boats & ADCP for bathymetry surveys. 🚤💧🔍
    Learn more about METAscales lnk.tu-bs.de/MBdwv8
    #BMBF #Equipment #Drainage #Bathymetry

  20. The seafloor around the remote British Overseas Territory of #AscensionIsland just got mapped, some of it for the first time ever...Looking at this cheerful looking crew in shorts , I wonder what it would be like to be one of the Ascension Island Government Conservation Team. gogeomatics.ca/seeing-what-lie #bathymetry #marineReserve

  21. The seafloor around the remote British Overseas Territory of #AscensionIsland just got mapped, some of it for the first time ever...Looking at this cheerful looking crew in shorts , I wonder what it would be like to be one of the Ascension Island Government Conservation Team. gogeomatics.ca/seeing-what-lie #bathymetry #marineReserve

  22. Data Request For Potomac River Tragedy - National Centers For Environmental Information (NCEI), NOAA In The News
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    ncei.noaa.gov/ <-- shared NCEI home page
    --
    “A CNN Reporter requested data to portray the depth of the Potomac River near the site of the tragic plane and helicopter crash. The Digital Elevation Model Bathymetry (DEM) Team responded with information on how to use NCEI’s high-resolution Continuously Updated Digital Elevation Models (CUDEMs) to generate a map of the Potomac River and provided an example map…”

    @NOAA @NCEI

  23. Setting the Stage for Open Source Sonar Development - At Hackaday, we see community-driven open source development as the great equalize... - hackaday.com/2025/01/24/settin #bathymetry #transducer #ultrasonic #techhacks #sonar