A dataset of distributed global population and water withdrawal from 1960 to 2020
Global population density and water withdrawal intensity distributed to administrative units from 1960-2020 for assessing long-term trends in human water use.
doi.org
At a glance
- Region
- Global
- Coverage
- Global
- Access
- Free
- Category
- Research
- Last updated
- 2022
What's inside
- Hydrological Data
What you can do with it
Typical work that data of this type supports.
- 01
Design flows
Estimate 1-in-50 and 1-in-100 year floods for bridges, culverts and spillways.
Because it has: Hydrological Data
- 02
Low flows
Set environmental flows and check what is left in the river in a dry year.
- 03
Model calibration
Calibrate and test catchment models against observed flow.
Where AI adds value
Ideas for machine learning and AI agents built on this kind of data.
- 01
Flow forecasting
Train LSTM-style models on past records to forecast river levels and flow days ahead.
- 02
Ungauged basins
Combine with catchment data to estimate flow where there is no gauge.
- 03
Automatic QC
Flag gauge errors, shifts and gaps before they reach a report.
Machine access and documentation
Data paper
A dataset of distributed global population and water withdrawal from 1960 to 2020
Scientific Data 2022
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