Drought Driving Factors as Revealed by Geographic Detector Model and Random Forest in Yunnan, China

Forests, Год журнала: 2025, Номер 16(3), С. 505 - 505

Опубликована: Март 12, 2025

Yunnan Province, as a critical ecological security barrier in China, has long been highly susceptible to drought events. Characterizing the spatiotemporal distributions of and identifying its driving factors is crucial. Due complexity occurrence, linear correlation analysis alone insufficient quantify drivers their interactions. This study used Standardized Precipitation Evapotranspiration Index (SPEI) indicator analyze trends across six major river basins. The geographic detector model (GDM) random forest (RF) were utilized impacts meteorological, topographical, soil, human activities on drought, well interactions among these factors. results showed that 63.61% area exhibits significant drying trend (p-value < 0.05), with Jinsha River Basin (JSRB) experiencing highest frequency extreme (PRE), temperature, potential evapotranspiration (PET), vapor pressure deficit (VPD), relative humidity (RH) identified primary controlling factor displaying nonlinear enhancement effects. PRE plays dominant role Yunnan, whereas elevation primarily influenced severity JSRB, Lancang (LCRB), Nujiang (NJRB). RF-based SPEI prediction demonstrated superior performance simulating short-term (SPEI_1, R2 > 0.931, RMSE 0.279), particularly JSRB (R2 = 0.947 0.228). These findings provide scientific basis for regional water resource management applications early warning systems, offering robust framework understanding mitigating ecologically sensitive regions.

Язык: Английский

Regulatory Impacts of the Three Gorges Dam on Long-Term Terrestrial Water Storage Anomalies in the Three Gorges Reservoir Area: Insights from GRACE and Multi-Source Data

Remote Sensing, Год журнала: 2025, Номер 17(5), С. 901 - 901

Опубликована: Март 4, 2025

Understanding the impact of human activities on regional water resources is essential for sustainable basin management. This study examines long-term terrestrial storage anomalies (TWSA) in Three Gorges Reservoir Area (TGRA) over two decades, from 2003 to 2023. The analysis utilizes data Gravity Recovery and Climate Experiment (GRACE) its successor mission (GRACE-FO), complemented by Global Land Data Assimilation System (GLDAS) models ECMWF Reanalysis v5 (ERA5) datasets. research methodically explores comparative contributions natural factors region’s hydrological dynamics. By integrating GRACE Drought Severity Index (GRACE-DSI), this uncovers dynamics droughts during extreme climate events. It also reveals pivotal role Dam (TGD) mitigating these events managing resources. Our findings indicate a notable upward trend TWSA within TGRA, with an annual increase 0.93 cm/year. largely due effective regulatory operations TGD. dam effectively balances seasonal distribution between summer winter substantially reduces adverse effects Further, GRACE-DSI underscores swift recovery following 2022 drought, highlighting TGD’s critical responding climatic conditions. Through correlation analysis, it was found that compared (correlation 0.62), 0.91) exhibit higher relative contribution variability. human-induced were derived difference GLDAS datasets, capturing combined all activities, including TGD, agricultural irrigation, urbanization. However, TGD serves as key facility significantly influences resource dynamics, particularly provides scientific basis management TGRA similar large reservoir regions, emphasizing necessity interactions strategies.

Язык: Английский

Evolutionary characteristics and attributions of ecological drought in river: A case study in the Yellow River Basin

Journal of Hydrology Regional Studies, Год журнала: 2025, Номер 59, С. 102409 - 102409

Опубликована: Апрель 25, 2025

Язык: Английский