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

Bibliographic Data

ID15548110
AuthorsWei Qi (0000-0003-2058-5985, Southern University of Science and Technology, corresponding author), Lian Feng (0000-0002-4590-3022, Southern University of Science and Technology), Junguo Liu (0000-0002-5745-6311, Southern University of Science and Technology), Xueping Zhu (0000-0001-8612-2890, Taiyuan University of Technology), Yanli Liu (0000-0003-0886-8907, State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering), Xingxing Kuang (0000-0001-6375-617X, Southern University of Science and Technology), Zhigao Xie (Meteorological Bureau of Shenzhen Municipality)
Year2023
Volume18
Issue12
Pages124035-124035
Publication date2023-11-06
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironmental Research Letters (JOURNAL)
Journal identifiersISSN: 1748-9326 • E-ISSN: 1748-9326
PublisherIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/ad0a1d
OpenAlexW4388406109
LanguageEN
Citations received2
References cited39

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 °C, 2.0 °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 ∼10.7 (∼11.0) times under 1.5 °C (2.0 °C) warming, and each 0.5 °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 ∼46% (1.5 °C and 2.0 °C) and ∼59% (4.5 °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

Biology · China · Climate change · Climatology · Displacement (psychology · Flood myth · Geography · Global warming · Physical geography · Population · Environmental Science · Flood Risk Assessment and Management · Hydrology and Drought Analysis · Hydrology and Watershed Management Studies · Demography · Ecology · Geology

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