Advancing regional water quality modelling: integrating spatial machine learning with large-scale catchment data

Intensified agriculture increases nutrient loads in waterbodies, threatening aquatic ecosystems and human health. Estimating nutrient concentrations is challenging due to the limited spatial and temporal coverage of national monitoring networks. Explainable machine learning can address this by linki...

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Autori principali:	Marta Jemeljanova, Holger Virro, Ilga Kokorite, Alexander Kmoch, Marie Annusver, Evelyn Uuemaa
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Taylor & Francis Group 2026-04-01
Serie:	Big Earth Data
Soggetti:	Nutrient runoff spatial machine learning water quality modelling nitrogen phosphorus non-point source pollution
Accesso online:	https://www.tandfonline.com/doi/10.1080/20964471.2026.2647582
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