Future global socioeconomic risk to droughts based on estimates of hazard, exposure, and vulnerability in a changing climate

被引:99
作者
Liu, Yujie [1 ,2 ]
Chen, Jie [1 ,2 ]
机构
[1] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
[2] Univ Chinese Acad Sci UCAS, Beijing 100049, Peoples R China
基金
中国国家自然科学基金;
关键词
Drought risk assessment; Hazard; Exposure; Vulnerability; RCP-SSP; Climate change; POPULATION EXPOSURE; CHINA; SCENARIOS; 1.5-DEGREES-C; CALIFORNIA; EDUCATION; IMPACTS; SEX; AGE;
D O I
10.1016/j.scitotenv.2020.142159
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
A consistent and equitable global drought risk assessment for multiple regions, populations, and economic sectors at the gridded scale under future diverse climate change scenarios has been the subject of scarce research. Climate change is projected to increase the future hazard of drought and cause consequential damages to socioeconomic systems. The risk assessment of drought caused by climate change can be a bridge between impacts and adaptation. To assess the socioeconomic risk to droughts in a base period and two future periods (2016 to 2035 and 2046 to 2065), the projections of five general circulation models and population and gross domestic product (GDP), land cover, and water resources data were used to analyze the socioeconomic risk under three scenarios combining representative concentration pathways (RCPs) and shared socioeconomic pathways (SSPs). The socioeconomic risk was calculated as the product of three determinants: hazard, exposure, and vulnerability. The risk of the global population to drought was projected to be highest in 2046 to 2065 under scenario RCP8.5-SSP3, with up to 1.45 x 10(9) persons affected, a 63% increase compared with the base period. The highest risk to GDP (4.29 x 10(13) purchasing power parity $) was possibly in 2046 to 2065 under scenario RCP2.6-SSP1, with the risk increasing 5.64 times compared to the base period. Regions with high socioeconomic risk were primarily concentrated in the East and South Asia, Midwestern Europe, eastern US, and the coastal areas of South America. With climate change, the inequality in future socioeconomic risk to drought among countries is predicted to increase. The ten countries with the highest risks to population and GDP accounted for nearly 70% of the global risk. (C) 2020 Elsevier B.V. All rights reserved.
引用
收藏
页数:12
相关论文
共 68 条
[1]   Global warming and changes in risk of concurrent climate extremes: Insights from the 2014 California drought [J].
AghaKouchak, Amir ;
Cheng, Linyin ;
Mazdiyasni, Omid ;
Farahmand, Alireza .
GEOPHYSICAL RESEARCH LETTERS, 2014, 41 (24) :8847-8852
[2]   Evaluating severity-area-frequency (SAF) of seasonal droughts in Bangladesh under climate change scenarios [J].
Alamgir, Mahiuddin ;
Khan, Najeebullah ;
Shahid, Shamsuddin ;
Yaseen, Zaher Mundher ;
Dewan, Ashraf ;
Hassan, Quazi ;
Rasheed, Balach .
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2020, 34 (02) :447-464
[3]  
Allen R.G., 1998, Paper No. 56
[4]  
[Anonymous], 2013, Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change
[5]   Spatial comparability of drought characteristics and related return periods in mainland China over 1961-2013 [J].
Ayantobo, Olusola O. ;
Li, Yi ;
Song, Songbai ;
Yao, Ning .
JOURNAL OF HYDROLOGY, 2017, 550 :549-567
[6]  
Barros V, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, pIX
[7]  
Barros V, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, pIX
[8]   Projections of Future Extreme Weather Losses Under Changes in Climate and Exposure [J].
Bouwer, Laurens M. .
RISK ANALYSIS, 2013, 33 (05) :915-930
[9]   Analysis of long term drought severity characteristics and trends across semiarid Botswana using two drought indices [J].
Byakatonda, Jimmy ;
Parida, B. P. ;
Moalafhi, D. B. ;
Kenabatho, Piet K. .
ATMOSPHERIC RESEARCH, 2018, 213 :492-508
[10]   Mapping global patterns of drought risk: An empirical framework based on sub-national estimates of hazard, exposure and vulnerability [J].
Carrao, Hugo ;
Naumann, Gustavo ;
Barbosa, Paulo .
GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS, 2016, 39 :108-124