Accurate prediction of arsenic and lead contamination in karst groundwater using explainable ensemble machine learning
This study provides a rigorous, data-driven framework for identification and spatially targeted management of groundwater heavy metal contamination in karst regions and offers a methodological reference for similar hydrogeological environments worldwide.