Eawag Global Arsenic in Groundwater Dataset
Machine-learning modeled global arsenic hazard maps based on ~80 previous studies with predictor variables including climate, soil, and topography. Downloadable GeoTIFF rasters and CSV data from the Swiss Federal Institute of Aquatic Science and Technology
opendata.eawag.ch
At a glance
- Region
- Global
- Coverage
- Global arsenic probability maps at high resolution
- Access
- Free
- Category
- Research Institute
- Last updated
- 2024
What's inside
- Arsenic Contamination
- Groundwater Quality
- Hazard Maps
- GeoTIFF Rasters
- Machine Learning Predictions
What you can do with it
Typical work that data of this type supports.
- 01
Hotspots and trends
Find where contamination is high and whether it is getting worse.
Because it has: Arsenic Contamination
- 02
Compliance checks
Compare samples against drinking water and discharge standards.
- 03
Trend hotspots
Find where water tables are falling year after year.
Because it has: Groundwater Quality
Where AI adds value
Ideas for machine learning and AI agents built on this kind of data.
- 01
Risk maps
Predict contamination where no samples exist, from geology, land use and climate.
- 02
Anomaly alerts
Catch sudden spikes in sensor or lab data automatically.
- 03
Gap filling
Rebuild missing well readings from neighbours, rainfall and season.
Machine access and documentation
Open API
Machine-readable endpoint on opendata.eawag.ch
Licence: CC-BY 4.0
Listed in our registry of open water APIs, which WaterDataGPT can query live.
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- Dartmouth Flood ObservatoryGlobal | Free
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