Deciphering climatic and human drivers of sustained water–level rise in Lake Qinghai: An XGBoost–SHAP explainable machine learning framework
Fields of Study & Subjects
Environmental and Agricultural Sciences
Hydrology and Watershed Management Studies
Hydrological Forecasting Using AI
Publication details
- Journal / source
- SSRN Electronic Journal
- Publication date
- 1 January 2026
- Language
- EN
- Document type
- Preprint