Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/Institute for Disaster Risk Management/School of Geographical Science, Nanjing University of Information Science & Technology, Nanjing 210044, China.
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/Institute for Disaster Risk Management/School of Geographical Science, Nanjing University of Information Science & Technology, Nanjing 210044, China; State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China.
Sci Total Environ. 2021 Jun 1;771:145186. doi: 10.1016/j.scitotenv.2021.145186. Epub 2021 Feb 6.
Drought has a substantial socioeconomic impact under the changing climate. The estimation of population exposure to drought could be the pivotal signal to predict future water scarcity in the climate hotspot of South Asia. This study examines the changing population exposure to drought across South Asia using 20 climate model ensembles from the latest CMIP6 and demographic data under shared socioeconomic pathways (SSPs). Underpinning the latest version of the IPCC 6th Assessment Report (AR6), this paper focuses on the 2021-2040 (near-term), 2041-2060 (mid-term), and 2081-2100 (long-term) periods to project population exposure changes relative to the reference period (1995-2014) under four SSP-RCP scenarios. Drought events are detected by adopting the standardized precipitation evapotranspiration index (SPEI) and run theory method. Model validation suggests that CMIP6-GCM performs well in projecting climate variables and capturing drought events. The results show that the projected increases in frequent drought events and affected areal coverage are stronger during the early part of the century and weaker at the end under all scenario combinations. In relative terms, the projected increase in the number of people exposed to drought is dominant (>1.5-fold) in the near-term and mid-term periods but decreases in the long-term period. Compared to the reference period, the leading increase in population exposure (2.3-fold) is projected under the newly designed gap scenario (SSP3-7.0) in the mid-term period. A surprising decline in the number of exposed populations was estimated to be 18.8% under SSP5-8.5 by the end of the century. The mitigating effect of the predicted heavy precipitation will decrease droughts in the late future. Spatially, increasing exposure will become more pronounced across India and Afghanistan. Furthermore, the population change effect is mainly responsible for the exposure changes in South Asia. However, this study strongly recommends future 'plausible world' regional rivalry pathways (SSP3) scenario-combinations into consideration for policymaking in regard to water management as well as migration planning over South Asia.
在气候变化下,干旱对社会经济造成了重大影响。评估人口对干旱的暴露程度可能是预测未来南亚气候热点地区水资源短缺的关键信号。本研究使用最新的 CMIP6 中 20 个气候模型集合和共享社会经济路径(SSP)下的人口数据,考察了整个南亚人口对干旱的暴露变化情况。本研究基于最新版的 IPCC 第六次评估报告(AR6),重点研究了 2021-2040 年(近期)、2041-2060 年(中期)和 2081-2100 年(远期)期间,相对于基准期(1995-2014 年),在四个 SSP-RCP 情景下,人口暴露变化的情况。干旱事件通过采用标准化降水蒸散指数(SPEI)和运行理论方法来检测。模型验证表明,CMIP6-GCM 在预测气候变量和捕捉干旱事件方面表现良好。结果表明,在所有情景组合下,本世纪初,频繁发生的干旱事件和受影响的面积覆盖率的增加幅度更强,而本世纪末则较弱。相对而言,在近期和中期,预计暴露于干旱的人数增加(超过 1.5 倍)占据主导地位,但在长期则减少。与基准期相比,在中期,新设计的缺口情景(SSP3-7.0)下,预计人口暴露的增长幅度最大(2.3 倍)。到本世纪末,预计 SSP5-8.5 下暴露人口数量将减少 18.8%。预测的强降水的缓解作用将减少未来的干旱。在空间上,印度和阿富汗的暴露程度将会增加。此外,人口变化效应是南亚人口暴露变化的主要原因。然而,本研究强烈建议未来在制定南亚水资源管理和移民规划政策时,考虑“合理世界”区域竞争路径(SSP3)情景组合。