Identification and Spatial-Temporal Variation Characteristics of Regional Drought Processes in China

Xiuhua Cai, Wenqian Zhang, Cunjie Zhang, Qiang Zhang, Jingli Sun, Chen Cheng, Wenjie Fan, Ying Yu and Xiaoling Liu
Additional contact information
Xiuhua Cai: Chinese Academy of Meteorological Sciences, Beijing 100081, China
Wenqian Zhang: Chinese Academy of Meteorological Sciences, Beijing 100081, China
Cunjie Zhang: National Climate Centre, China Meteorological Administration (CMA), Beijing 100081, China
Qiang Zhang: National Climate Centre, China Meteorological Administration (CMA), Beijing 100081, China
Jingli Sun: Public Meteorological Service Center, China Meteorological Administration (CMA), Beijing 100081, China
Chen Cheng: Chinese Academy of Meteorological Sciences, Beijing 100081, China
Wenjie Fan: China Meteorological Administration Training Centre, Beijing 100081, China
Ying Yu: Chinese Academy of Meteorological Sciences, Beijing 100081, China
Xiaoling Liu: China Meteorological Administration Training Centre, Beijing 100081, China

Land, 2022, vol. 11, issue 6, 1-21

Abstract: Based on the daily temperature and precipitation data from 1961 to 2021 obtained from 2019 national meteorological stations of China, and by means of Meteorological Drought Comprehensive Index (MCI) and some improved identification methods, we identified all drought event processes in all the seven regions of China in this paper. We also carefully analyzed these regional droughts and made following conclusions: drought was spreading towards southern China with an increasing frequency; consecutive drought year group occurred in all the seven regions of China with an increasing frequency under the background of global warming; both drought duration and comprehensive intensity consistently changed with the area affected by drought, with a correlation coefficient of 0.52–0.67 and 0.88–0.99 respectively, and passed the significance test of 0.05. The method used in this paper could be employed to effectively monitor and evaluate drought processes from multiple dimensions including duration, comprehensive intensity and area affected by drought. Thus, it actually provided a helpful decision-making basis for governments to prevent the risk of drought.

Keywords: regional drought identification; comprehensive drought intensity; consecutive drought year group; China (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2073-445X/11/6/849/pdf (application/pdf)
https://www.mdpi.com/2073-445X/11/6/849/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:11:y:2022:i:6:p:849-:d:832034

Access Statistics for this article

Land is currently edited by Ms. Carol Ma

More articles in Land from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().