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GLORICH - Global River Chemistry Database

University of Hamburg global river chemistry database with 1.27 million samples from ~17,000 sampling locations worldwide. Covers major ions, nutrients (N, P, Si), organic and inorganic carbon, alkalinity, pH, dissolved oxygen, and water temperature, with progressive extension to trace elements. Hosted on PANGAEA.

doi.pangaea.de

At a glance

Region
Global
Coverage
Global (17,000 stations, 1.27M samples)
Access
Free
Category
Research

What's inside

  • River Chemistry
  • Water Quality
  • Nutrients
  • Trace Elements
  • Large-Sample Hydrology

What you can do with it

Typical work that data of this type supports.

  1. 01

    Hotspots and trends

    Find where contamination is high and whether it is getting worse.

    Because it has: River Chemistry

  2. 02

    Compliance checks

    Compare samples against drinking water and discharge standards.

  3. 03

    Design flows

    Estimate 1-in-50 and 1-in-100 year floods for bridges, culverts and spillways.

    Because it has: Large-Sample Hydrology

Where AI adds value

Ideas for machine learning and AI agents built on this kind of data.

  1. 01

    Risk maps

    Predict contamination where no samples exist, from geology, land use and climate.

  2. 02

    Anomaly alerts

    Catch sudden spikes in sensor or lab data automatically.

  3. 03

    Flow forecasting

    Train LSTM-style models on past records to forecast river levels and flow days ahead.

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