Spatiotemporal patterns of future meteorological drought in the Yellow River Basin based on SPEI under RCP scenarios

• Published in: International journal of climate change strategies and management Vol. 14; no. 1; pp. 39 - 53
• Main Authors: Ji, Guangxing, Lai, Zhizhu, Yan, Dan, Wu, Leying, Wang, Zheng
• Format: Journal Article
• Language: English
• Published: Bingley Emerald Publishing Limited 12.01.2022; Emerald Group Publishing Limited; Emerald Publishing
• Subjects: Climate change; Climate models; Climatic data; Drought; drought frequency; Evaporation; Future climates; Fuzzy sets; Global climate; Global climate models; Hydrologic cycle; meteorological drought; Natural sciences; Precipitation; R&D; Rain; rcp scenarios; Remote sensing; Research & development; Research projects; River basins; Rivers; standardized precipitation evaporation index (spei); Temperature; Time series; Trends; Water management; Water resources; Water resources management; yellow river basin; China; Yellow River; Yellow River Basin; Drought frequency; Standardized precipitation evaporation index (SPEI); Meteorological drought; RCP scenarios
• ISSN: 1756-8692; 1756-8706
• DOI: 10.1108/IJCCSM-01-2021-0004

Purpose The purpose of this study is to assess the spatiotemporal patterns of future meteorological drought in the Yellow River Basin under different representative concentration pathway (RCP) scenarios. Design/methodology/approach Delta method is used to process the future climate data of the global climate models, then analyzed the spatiotemporal variation trend of drought in the Yellow River Basin based on standardized precipitation evaporation index (SPEI) under four RCP scenarios. Findings This research was funded by the National Natural Science Foundation of China (41901239), Soft Science Research Project of Henan Province (212400410077, 192400410085), the National Key Research and Development Program of China (2016YFA0602703), China Postdoctoral Science Foundation (2018M640670) and the special fund of top talents in Henan Agricultural University (30501031). Originality/value This study can provide support for future meteorological drought management and prevention in the Yellow River Basin and provide a theoretical basis for water resources management.