GLORICH - Global River Chemistry Database (Univ. Hamburg)
Global river hydrochemistry database with 1.27 million samples at ~17,000 sampling locations, covering major ions, nutrients (N, P, Si), organic/inorganic carbon, alkalinity, pH, dissolved oxygen and temperature, with catchment characteristics. Hosted by University of Hamburg.
geo.uni-hamburg.de
At a glance
- Region
- Germany (Global)
- Coverage
- Global
- Access
- Free
- Category
- Academic
- Last updated
- 2019
What's inside
- River chemistry
- Nutrients
- Major ions
- Carbon
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: River chemistry
- 02
Compliance checks
Compare samples against drinking water and discharge standards.
- 03
Design flows
Estimate 1-in-50 and 1-in-100 year floods for bridges, culverts and spillways.
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
Flow forecasting
Train LSTM-style models on past records to forecast river levels and flow days ahead.
Related water data
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- BCO-DMO ERDDAP (Biological & Chemical Oceanography Data, WHOI)Global | Free
- BfG GRDC (Global Runoff Data Centre)Global | Registration Required
- Bio-Oracle ERDDAP (marine environmental layers)Global | Free
- Coral Reef Alliance Marine Water Quality MonitoringGlobal | Free
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