Spatial correlation of groundwater level with natural factors using geographically weighted regression model in the Choushui River Alluvial Fan, Taiwan

The groundwater of the Choushui River alluvial fan in Central Taiwan has been overexploited for a long time. It is essential to understand factors governing changes level (GWL) use water resources. In this study, we first conducted Mann–Kendall test identify significant trends regional GWL and obtained its spatial characteristics using Moran’s I index fan. Furthermore, established geographically weighted regression (GWR) model explore correlation between natural dry wet seasons from 1999 2019. long-term trend analysis shows that decline significantly. distribution had positive both seasons. GWR indicate are affected by drainage density (D d ), slope (S), normalized difference vegetation (NDVI), precipitation (P) during season, while D , S, NDVI, wetness (WI) have an effect on season. These results can not only describe applicability exploring relationship but also be used as references future resource utilization management.