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Random forest model to predict long-term seasonal nitrate and orthophosphate concentrations in British river reaches

This resource comprises two Jupyter notebooks that includes the model code in python to train a random forest model to predict long-term seasonal nitrate and orthophosphate concentrations at each river reach in Great Britain. The input features considered are catchment descriptors and land cover matched to the reaches. The training data is obtained from the Environmental Agency Water Quality Archive, 2010-2020. This method provides an effective way to map water quality data from stations to the

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Licence
Open government licence
Authentication
Unknown — review source docs
GitHub stars
Unknown
Last commit
Unknown
Last successful page check
16/10/2026
Page health
healthy
Package
Not recorded
Verification
Not independently verified

Provenance & evidence

Listed in ukceh-eidc public catalogue API on 2026-10-16; relevance/value screened (haiku).

Metadata observed 14/10/2026 · research sweep: sweep-2026-10-16 (ukceh-eidc)