Population Exposure to Compound Precipitation-Temperature Extremes in the Past and Future Climate across India

被引:1
作者
Dash, Subhasmita [1 ]
Maity, Rajib [1 ,2 ]
Kunstmannb, Harald [2 ,3 ,4 ]
机构
[1] Indian Inst Technol Kharagpur, Dept Civil Engn, Kharagpur, West Bengal, India
[2] Karlsruhe Inst Technol, Inst Meteorol & Climate Res IMK IFU, Garmisch Partenkirchen, Germany
[3] Univ Augsburg, Inst Geog, Augsburg, Germany
[4] Univ Augsburg, Ctr Climate Resilience, Augsburg, Germany
关键词
Extreme events; Precipitation; Climate change; Temperature; Societal impacts; MONSOON RAINFALL; GANGETIC PLAINS; HEAT WAVES; INCREASE; GUJARAT; SCIENCE; TRENDS; RISK; WET; DRY;
D O I
10.1175/JHM-D-22-0238.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
This study explores the population exposure to an increasing number of hydroclimatic extreme events ow-ing to the warming climate. It is well agreed that the extreme events are increasing in terms of frequency as well as intensity due to climate change and that the exposure to compound extreme events (concurrent occurrence of two or more extreme phenomena) affects population, ecosystems, and a variety of socioeconomic aspects more adversely. Specifically, the com-pound precipitation-temperature extremes (hot-dry and hot-wet) are considered, and the entire Indian mainland is re-garded as the study region that spans over a wide variety of climatic regimes and wide variation of population density. The developed copula-based statistical method evaluates the change in population exposure to the compound extremes across the past (1981-2020) and future (near future: 2021-60 and far future: 2061-2100) due to climate change. The results indi-cate an increase of more than 10 million person-year exposure from the compound extremes across many regions of the country, considering both near and far future periods. Densely populated regions have experienced more significant changes in hot-wet extremes as compared with the hot-dry extremes in the past, and the same is projected to continue in the future. The increase is as much as sixfold in many parts of the country, including the Indo-Gangetic Plain and southern-most coastal regions, identified as the future hotspots with the maximum increase in exposure under all the projected warming and population scenarios. The study helps to identify the regions that may need greater attention based on the risks of population exposure to compound extremes in a warmer future.
引用
收藏
页码:2409 / 2430
页数:22
相关论文
共 105 条
[1]  
Adedeji O., 2014, Journal of Geoscience and Environmental Protection, Volume, V2, P114, DOI [10.4236/gep.2014.22016, DOI 10.4236/GEP.2014.22016]
[2]   Increase in Subdaily Precipitation Extremes in India Under 1.5 and 2.0 °C Warming Worlds [J].
Ali, Haider ;
Mishra, Vimal .
GEOPHYSICAL RESEARCH LETTERS, 2018, 45 (14) :6972-6982
[3]  
[Anonymous], Documentation for the Gridded Population of the World, version 4 (GPWv4), revision 11 data sets, DOI [10.7927/H45Q4T5F, DOI 10.7927/H45Q4T5F]
[4]   Understanding temperature related health risk in context of urban land use changes [J].
Avashia, Vidhee ;
Garg, Amit ;
Dholakia, Hem .
LANDSCAPE AND URBAN PLANNING, 2021, 212
[5]   Heat waves, temperature extremes and their impacts on monsoon rainfall and meteorological drought in Gujarat, India [J].
Bandyopadhyay, N. ;
Bhuiyan, C. ;
Saha, A. K. .
NATURAL HAZARDS, 2016, 82 (01) :367-388
[6]   Extreme dry and wet spells face changes in their duration and timing [J].
Breinl, Korbinian ;
Di Baldassarre, Giuliano ;
Mazzoleni, Maurizio ;
Lun, David ;
Vico, Giulia .
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (07)
[7]   Multiple Global Population Datasets: Differences and Spatial Distribution Characteristics [J].
Chen, Ruxia ;
Yan, Huimin ;
Liu, Fang ;
Du, Wenpeng ;
Yang, Yanzhao .
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2020, 9 (11)
[8]   Anthropogenic footprint of climate change in the June 2013 northern India flood [J].
Cho, Changrae ;
Li, Rong ;
Wang, S. -Y. ;
Yoon, Jin-Ho ;
Gillies, Robert R. .
CLIMATE DYNAMICS, 2016, 46 (3-4) :797-805
[9]  
CIESIN, 2018, Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11, DOI [10.7927/H45Q4T5F, DOI 10.7927/H45Q4T5F]
[10]   Twenty-First Century Drought Projections in the CMIP6 Forcing Scenarios [J].
Cook, B. I. ;
Mankin, J. S. ;
Marvel, K. ;
Williams, A. P. ;
Smerdon, J. E. ;
Anchukaitis, K. J. .
EARTHS FUTURE, 2020, 8 (06)