China's growing human displacement risk caused by floods under 1.5 °C and 2.0 °C global warming and beyond

被引:1
作者
Qi, Wei [1 ]
Feng, Lian [1 ]
Liu, Junguo [1 ]
Zhu, Xueping [2 ]
Liu, Yanli [3 ]
Kuang, Xingxing [1 ]
Xie, Zhigao [4 ]
机构
[1] Southern Univ Sci & Technol, Sch Environm Sci & Engn, Shenzhen 518055, Peoples R China
[2] Taiyuan Univ Technol, Coll Water Resource Sci & Engn, Taiyuan 030024, Peoples R China
[3] Nanjing Hydraul Res Inst, State Key Lab Hydrol, Water Resources & Hydraul Engn, Nanjing 210029, Peoples R China
[4] East Water Author Shenzhen Municipal, Shenzhen 518055, Peoples R China
关键词
human displacement; flood; climate change; PROTECTION; MIGRATION; BENEFITS; NETWORK;
D O I
10.1088/1748-9326/ad0a1d
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Human displacement is one of the most pressing global issues, and China has the world's largest population affected by floods. Yet, the spatial and temporal variations of China's Human Displacement Risk (HDR) caused by floods remain unclear. Here, we investigated China's HDR caused by extreme floods under different global warming levels, including 1.5 degrees C, 2.0 degrees C and beyond. We developed an approach to estimate human displacement caused by floods in China. Based on this method, our findings indicate that China's HDR will increase by similar to 10.7 (similar to 11.0) times under 1.5 degrees C (2.0 degrees C) warming, and each 0.5 degrees C warming will increase HDR by 3 million on average. These great increases are mainly driven by climate change rather than population variations. Our results also reveal that the relationship between human displacement and increasing percentage of flood protection levels follows an exponential function. Additionally, we found that increasing China's current flood protection standard by similar to 46% (1.5 degrees C and 2.0 degrees C) and similar to 59% (4.5 degrees C) would reduce future HDR to the historical period level. This study provides valuable insights into China's HDR, which can aid in adaptive flood risk management amid the trend of shifting to a warmer and more extreme climate.
引用
收藏
页数:11
相关论文
共 41 条
[21]   Global warming and population change both heighten future risk of human displacement due to river floods [J].
Kam, Pui Man ;
Aznar-Siguan, Gabriela ;
Schewe, Jacob ;
Milano, Leonardo ;
Ginnetti, Justin ;
Willner, Sven ;
McCaughey, Jamie W. ;
Bresch, David N. .
ENVIRONMENTAL RESEARCH LETTERS, 2021, 16 (04)
[22]   Nighttime light data reveal how flood protection shapes human proximity to rivers [J].
Mard, Johanna ;
Di Baldassarre, Giuliano ;
Mazzoleni, Maurizio .
SCIENCE ADVANCES, 2018, 4 (08)
[23]   International migration and climate adaptation in an era of hardening borders [J].
McLeman, Robert .
NATURE CLIMATE CHANGE, 2019, 9 (12) :911-918
[24]   Global migration is driven by the complex interplay between environmental and social factors [J].
Niva, Venla ;
Kallio, Marko ;
Muttarak, Raya ;
Taka, Maija ;
Varis, Olli ;
Kummu, Matti .
ENVIRONMENTAL RESEARCH LETTERS, 2021, 16 (11)
[25]   Trends in flood losses in Europe over the past 150 years [J].
Paprotny, Dominik ;
Sebastian, Antonia ;
Morales-Napoles, Oswaldo ;
Jonkman, Sebastiaan N. .
NATURE COMMUNICATIONS, 2018, 9
[26]   Growing hydropower potential in China under 1.5 °C and 2.0 °C global warming and beyond [J].
Qi, Wei ;
Feng, Lian ;
Liu, Junguo ;
Yang, Hong .
ENVIRONMENTAL RESEARCH LETTERS, 2022, 17 (11)
[27]   Economic growth dominates rising potential flood risk in the Yangtze River and benefits of raising dikes from 1991 to 2015 [J].
Qi, Wei ;
Feng, Lian ;
Yang, Hong ;
Liu, Junguo ;
Zheng, Yi ;
Shi, Haiyun ;
Wang, Lei ;
Chen, Deliang .
ENVIRONMENTAL RESEARCH LETTERS, 2022, 17 (03)
[28]   Climatic conditions are weak predictors of asylum migration [J].
Schutte, Sebastian ;
Vestby, Jonas ;
Carling, Jorgen ;
Buhaug, Halvard .
NATURE COMMUNICATIONS, 2021, 12 (01)
[29]   FLOPROS: an evolving global database of flood protection standards [J].
Scussolini, Paolo ;
Aerts, Jeroen C. J. H. ;
Jongman, Brenden ;
Bouwer, Laurens M. ;
Winsemius, Hessel C. ;
de Moel, Hans ;
Ward, Philip J. .
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 2016, 16 (05) :1049-1061
[30]   New estimates of flood exposure in developing countries using high-resolution population data [J].
Smith, Andrew ;
Bates, Paul D. ;
Wing, Oliver ;
Sampson, Christopher ;
Quinn, Niall ;
Neal, Jeff .
NATURE COMMUNICATIONS, 2019, 10 (1)