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

Guangxing Ji; Zhizhu Lai; Dan Yan; Leying Wu; Zheng Wang

doi:10.1108/IJCCSM-01-2021-0004

International Journal of Climate Change Strategies and Management (Dec 2021)

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

Guangxing Ji,
Zhizhu Lai,
Dan Yan,
Leying Wu,
Zheng Wang

Affiliations

Guangxing Ji: College of Resources and Environmental Sciences, Henan Agricultural University, Zhengzhou, China and Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai, China
Zhizhu Lai: Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai, China
Dan Yan: Center for Energy, Environment and Economy Research, Zhengzhou University, Zhengzhou, China and Tourism Management School, Zhengzhou University, Zhengzhou, China
Leying Wu: Key Research Institute of Yellow River Civilization and Sustainable Development and Collaborative Innovation Center on Yellow River Civilization jointly built by Henan Province and Ministry of Education, Henan University, Kaifeng, China
Zheng Wang: Key Research Institute of Yellow River Civilization and Sustainable Development and Collaborative Innovation Center on Yellow River Civilization jointly built by Henan Province and Ministry of Education, Henan University, Kaifeng, China; College of Geography and Environmental Science, Henan University, Kaifeng, China and Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, Kaifeng, China

DOI: https://doi.org/10.1108/IJCCSM-01-2021-0004
Journal volume & issue: Vol. 14, no. 1
pp. 39 – 53

Abstract

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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.

Published in International Journal of Climate Change Strategies and Management

ISSN: 1756-8692 (Print); 1756-8706 (Online)
Publisher: Emerald Publishing
Country of publisher: United Kingdom
LCC subjects: Geography. Anthropology. Recreation: Environmental sciences; Science: Physics: Meteorology. Climatology
Website: http://www.emeraldgrouppublishing.com/products/journals/journals.htm?id=ijccsm

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