Virtual screening of groundwater exceedance risk

Domain:

environment and energygeospatial

Creator:

AbdSun

Publisher:

Host:

Reproducible, leakage-controlled machine learning for prioritising groundwater wells for confirmatory monitoring in Ghana's Pru Basin. The project provides a Rust command-line pipeline that turns groundwater chemistry measurements into validated exceedance-risk estimates. It compares practical predictor tiers, evaluates models under both repeated nested and spatially grouped cross-validation, records the full analysis in SQLite, and exports analysis-ready CSV files for statistical graphics and GIS workflows. Research-use notice: this is a screening and prioritisation tool. Its predictions do not replace laboratory testing, hydrogeological investigation, or regulatory decision-making.

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doi.org

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Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode

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