GRQA: Global River Water Quality Archive (University of Tartu)
Harmonised archive of 17M+ river water-quality observations (43 parameters: nutrients, carbon, oxygen, sediments) integrating GEMStat, GLORICH, Waterbase, WQP and CESI, 1898-2023.
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At a glance
- Region
- Estonia (Global)
- Coverage
- Global rivers
- Access
- Free
- Category
- Academic
- Last updated
- 2024
What's inside
- river water quality
- nutrients
- sediments
- dissolved oxygen
Terms explained
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 water quality
- 02
Compliance checks
Compare samples against drinking water and discharge standards.
- 03
Sampling plans
Decide where to sample and treat first.
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
From satellite
Estimate turbidity and chlorophyll in lakes and rivers from imagery.
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- FreshWater Watch (Earthwatch)Global | Registration Required
- GLEON - Global Lake Ecological Observatory NetworkGlobal | Free
- GLEON via Cary Institute: Global Lake Ecological Observatory NetworkGlobal | Free
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