CollectHomepage AdvertisementContact usMessage

Arid Land Geography ›› 2024, Vol. 47 ›› Issue (3): 369-379.doi: 10.12118/j.issn.1000-6060.2023.448

• Climatology and Hydrology • Previous Articles     Next Articles

Assessment of drought risk changes in China under different temperature rise scenarios

LU Dongyan1,2(), ZHU Xiufang1,2,3(), TANG Mingxiu1,2, GUO Chunhua1,2, LIU Tingting1,2   

  1. 1. Key Laboratory of Environmental Change and Natural Disasters of Chinese Ministry of Education, Beijing Normal University, Beijing 100875, China
    2. Institute of Remote Sensing Science and Engineering, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
    3. State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China
  • Received:2023-08-23 Revised:2023-10-11 Online:2024-03-25 Published:2024-03-29
  • Contact: ZHU Xiufang E-mail:202221051098@mail.bnu.edu.cn;zhuxiufang@bnu.edu.cn

Abstract:

Drought is one of the most disastrous extreme climate events. Studying the changes in drought risk against the background of future global warming is beneficial for scientifically advancing disaster prevention and reduction work deployment. The standardized precipitation evapotranspiration index was calculated using data from 20 climate models from the sixth phase of the Coupled Model Intercomparison Project. Drought characteristic variables were extracted for the baseline period and global temperature rise scenarios of 2 ℃, 3 ℃, and 4 ℃ in China, and the drought hazard index (DHI) was calculated. Based on the disaster-bearing body projection data, the drought exposure index (DEI), drought vulnerability index (DVI), and drought risk index (DRI) were comprehensively calculated. The distribution pattern of drought risk in China was further analyzed, and a spatial attribution analysis of future drought risk changes was performed using a geodetector. The results showed that the spatial distribution of DHI, DEI, and DVI exhibited higher values in the northwest and southeast, a pattern of being high in the east and low in the west, and a trend of being high in the west and low in the east, respectively. Based on this, the DRI specially showed a spatial positive correlation dominated by high- and low-value clustering. With an increase in the temperature rise level, the future drought risk will mainly increase across China, and the increase in the eastern coastal areas would be the most obvious. Changes in population, gross domestic product, and the proportion of cultivated land were found to be the main factors affecting changes in drought risk.

Key words: drought risk, CMIP6, temperature rise scenario, spatial autocorrelation, geodetector