Application of bagging and boosting ensemble machine learning techniques for groundwater potential mapping in a drought-prone agriculture region of eastern India

• Main Authors: Halder K., Srivastava A.K., Ghosh A., Nabik R., Pan S., Chatterjee U., Bisai D., Pal S.C., Zeng W., Ewert F., Gaiser T., Pande C.B., Islam A.R.M.T., Alam E., Islam M.K.
• 其他作者: 58980024500
• 格式: Article
• 出版: Springer 2025
• 主題: Bankura; India; West Bengal; Deforestation; Fertilizers; Random errors; Bankura district; Boosting ensembles; F1 scores; Gradient boosting; Groundwater potentials; Machine learning techniques; Management practises; Performance; Random forests; Voting ensemble; drinking water; drought; ensemble forecasting; groundwater; groundwater resource; hydrogeology; machine learning; management practice; mapping method; training; Adaptive boosting

Groundwater is a primary source of drinking water for billions worldwide. It plays a crucial role in irrigation, domestic, and industrial uses, and significantly contributes to drought resilience in various regions. However, excessive groundwater discharge has left many areas vulnerable to potable w...