Spatiotemporal Heterogeneity and Multi-Scenario Evolution of Regional Flood Risk in Arid Central Asia
This study develops an interpretable and validated XGBoost–SHAP framework integrating multisource geospatial data and historical flood observations, with model performance evaluated using independent validation and future projections driven by bias-corrected CMIP6 climate scenarios to characterize the spatiotemporal va...