Nitrate spatial prediction in groundwater through machine learning and stakeholder cocreation: The Chalk Aquifer case in East Anglia

Zenodo (CERN European Organization for Nuclear Research) 2026 Preprint Open access

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Authors: Gomez-Escalonilla Victor
DOI: 10.5281/zenodo.18387599
Cited by: 1

Fields of Study & Subjects

Groundwater and Isotope Geochemistry Soil Geostatistics and Mapping Hydrological Forecasting Using AI

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
27 January 2026
Document type
Preprint