Intergenerational inequity from hydrological drought in a warming world.

Journal: Journal of environmental management
Published Date:

Abstract

As warmer temperatures enhance atmospheric moisture, hydrological droughts tend to intensify in most regions of the globe. Consequently, younger generations are expected to face a more severe risk of hydrological drought during their lifetimes, emphasizing the critical issue of intergenerational inequity due to climate change. To quantify exposure to hydrological drought across generations, we constructed a cascade model chain for drought simulation using hybrid terrestrial models, based on 5 GCM outputs under SSP5-85, five hydrological models and a deep learning model. We then projected future univariate and bivariate hydrological drought evolution in 4091 river basins, and quantified lifetime exposure to drought for the age groups born in 2020 and 1960. Drought severity and duration are projected to increase substantially in the Eastern America, Southern Brazil and Western Europe, over 79 % of basins. Extreme droughts far beyond historical records are expected to become more frequent and impact Western Europe in particular. Of note, the exposure of the different age groups to hydrological drought shows a notable disequilibrium. Exposure of people born in 2020 to hydrological drought hazards is projected to increase by 12 % over the late 21st century compared to those born in 1960, indicating that the acceleration of climate change is expected to increase the lifetime risk of future generations. The exposure factor of the newborns is 1.4 times higher than that of 80 years of age under warming condition. Our findings underscore that future drought conditions under extreme warming pose a significant threat to the living conditions of younger generations.

Authors

  • Rutong Liu
    Hubei Key Laboratory of Intelligent Yangtze and Hydroelectric Science, China Yangtze Power Co., Ltd., Yichang, Hubei, 443000, China; State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, Hubei, 430072, China; Department of Geography, The University of Hong Kong, Hong Kong, China.
  • Kebing Chen
    Bureau of Hydrology, Changjiang Water Resources Commission, Wuhan, 430010, China.
  • Jiabo Yin
    State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, Hubei, 430072, China. Electronic address: jboyn@whu.edu.cn.
  • Biqiong Wu
    Hubei Key Laboratory of Intelligent Yangtze and Hydroelectric Science, China Yangtze Power Co., Ltd., Yichang, Hubei, 443000, China.
  • Yan Zhao
    Emergency Center, Hubei Clinical Research Center for Emergency and Resuscitaion, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
  • Zhiming Liang
    Hubei Key Laboratory of Intelligent Yangtze and Hydroelectric Science, China Yangtze Power Co., Ltd., Yichang, Hubei, 443000, China.
  • Na Li
    School of Nursing, Fujian University of Traditional Chinese Medicine, Fuzhou, China.
  • Fengxian Gao
    Hubei Key Laboratory of Intelligent Yangtze and Hydroelectric Science, China Yangtze Power Co., Ltd., Yichang, Hubei, 443000, China.
  • Jing Tian
    School of Biological Engineering, Dalian Polytechnic University No. 1st Qinggongyuan, Ganjingzi Dalian 116034 P. R. China liqian19820903@163.com +86-411-86323725 +86-411-86323725.
  • Yujie Zeng
    Changjiang River Scientific Research Institute, Wuhan, 430010, China.
  • Jiali Guo
    College of Chemistry, Sichuan University, Chengdu610064, People's Republic of China.