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September 13, 2024HydrologyOpen Access

A Machine Learning Approach to Map the Vulnerability of Groundwater Resources to Agricultural Contamination

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VGVíctor Gómez‐EscalonillaPMPedro Martínez‐Santos

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Gómez‐Escalonilla et al. (2024) studied this question.

synapsesocial.com/papers/68e58930b6db643587525663https://doi.org/10.3390/hydrology11090153
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Also Consider

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  3. 3Enhanced groundwater vulnerability assessment to nitrate contamination in Chongqing, Southwest China: Integrating novel explainable machine learning algorithms with DRASTIC-LU2024 · 11 citations
  4. 4Advancing Groundwater Vulnerability Assessment in Coastal Regions: Integrating Machine Learning and Traditional Frameworks2024 · 1 citations
  5. 5Optimized Groundwater Vulnerability Assessment Using Machine Learning: A Case Study of Luyi County, China2026 · 1 citations