Impacts of Meteorological, Hydrological, and Compound Droughts on the Precipitation–Runoff Relationship Across Timescales

作者：Pengyu An, Jiefeng Wu, Huaxia Yao, Guoqing Wang, Amir AghaKouchak · 发表于：Earth s Future · 年份：2026 · DOI：10.1029/2025ef006795 · 被引用次数：2 · 研究领域：Hydrology and Drought Analysis、Hydrology and Watershed Management Studies、Precipitation Measurement and Analysis

Abstract Droughts alter the precipitation‐runoff (PR) relationship, thereby influencing water resources planning and management. Previous studies have mainly focused on the influence of multi‐year droughts on PR relationship. The influence of different drought types across various timescales (monthly, seasonal, and annual) remains understudied. In this study, we applied a Cumulative Distribution Function‐Linear Regression‐Random Forest (CDF‐LR‐RF) algorithm to evaluate, bias correct, and integrate multi‐source precipitation data sets for drought assessment in a data‐poor basin. Then, meteorological drought (MD) and hydrological drought (HD) were identified using the Standardized Precipitation‐Evapotranspiration Index (SPEI) and Standardized Runoff Index (SRI), respectively, with compound drought (CD) events defined where MD and HD overlapped. The PR relationship was characterized using Slope (conversion speed) and R 2 (relationship strength). The approach was tested in the source region of the Yellow River basin (SRYB) in northwest China. The key findings include: (a) The CDF‐LR‐RF method efficiently integrates multi‐source precipitation data, significantly improving accuracy for drought assessment. (b) In the SRYB, MD, HD, and CD exhibit clear time‐scale effects, with CD being more severe and longer‐lasting than MD, but less so than HD. (c) Different drought types impact the PR relationship differently across timescales, with short‐term droughts (identified through monthly a...