文献类型：期刊文献

英文题名：Developing a novel flash drought assessment method based on the flashiness index: A case study of the Yunnan-Guizhou Plateau

作者：Liu, Zhennan Wang, Xiaoyu Zhou, Jingnan Jiao, Weiguo

第一作者：刘振男

通信作者：Zhou, JN[1]

机构：[1]Guizhou Inst Technol, Guiyang 550025, Peoples R China;[2]Anhui Agr Univ, Hefei 230061, Peoples R China

第一机构：贵州理工学院

通信机构：corresponding author), Guizhou Inst Technol, Guiyang 550025, Peoples R China.|贵州理工学院;

年份：2026

外文期刊名：JOURNAL OF WATER AND CLIMATE CHANGE

收录：;WOS:【SCI-EXPANDED(收录号:WOS:001830390100001)】；

基金：This work is supported by the National Natural Science Foundation of China (No. 52268053) and Guizhou Provincial Basic Research Program (Guizhou Science and Technology Foundation-ZK [2024]515), and Science and Technology Special Funds of Guizhou Water Resources Department (KT202421 and KT202422), and Startup Project for High-level Talents of Guizhou Institute of Technology (2023GCC071), and Science and Technology Projects of Auhui Provincial Group Limited for Yangtze-To-Huaihe Water Diversion (YJJH-ZT-ZX-20230706545) and special thanks are given to the anonymous reviewers and editors for their constructive comments.

语种：英文

外文关键词：flash drought; flashiness index; seasonal drought; soil moisture; Yunnan-Guizhou Plateau

摘要：Accurate identification and assessment of flash droughts are crucial for regional water resource management, agricultural disaster mitigation, and ecological protection. To address the limitations of existing methods in characterizing abrupt hydrological changes and spatial features of flash droughts, this study developed a novel assessment approach by coupling the Flashiness Index (FI) and Density-Based Spatial Clustering of Applications with Noise (DBSCAN). Using the root-zone soil moisture dataset from the Global Land Evaporation Amsterdam Model (GLEAM) during 1980-2023, we applied this method to detect and analyze the spatiotemporal evolution of flash droughts over the Yunnan-Guizhou Plateau. The results show that a total of 55 flash drought events were identified, with an overall identification accuracy of over 85.5%, as verified against authoritative disaster records. A significant deterioration of flash droughts was detected after 2000: the frequency increased by 89%, the area of high-frequency regions expanded by approximately 19%, and the proportion of severe and extreme events rose markedly. Spatially, high-incidence areas expanded gradually from the southwestern edge to the central, western, and northwestern parts of the plateau, exhibiting increasing spatial homogeneity. Seasonally, flash droughts were concentrated in winter and spring, accounting for 85.4% of all events. Winter events exhibited the highest intensity, spring events had the longest duration, while summer events, though infrequent, featured the largest affected area. The proposed method objectively quantifies the drying rate and spatial clustering of flash droughts, effectively capturing their rapid onset. This study provides a reliable technical tool for flash drought monitoring and assessment, supporting regional drought prevention and water resource allocation.