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Assessment and Prediction of Climate Risks in Three Major Urban Agglomerations of Eastern China

Author

Listed:
  • Jieming Chou

    (State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

  • Mingyang Sun

    (State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
    Atmospheric Science School, Sun Yat-Sen University, Guangzhou 510275, China)

  • Wenjie Dong

    (Atmospheric Science School, Sun Yat-Sen University, Guangzhou 510275, China)

  • Weixing Zhao

    (State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

  • Jiangnan Li

    (State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

  • Yuanmeng Li

    (State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

  • Jianyin Zhou

    (College of Meteorology and Oceanography, National University of Defense Technology, Changsha 410073, China)

Abstract

In the context of global climate change and urban expansion, extreme urban weather events occur frequently and cause significant social problems and economic losses. To study the climate risks associated with rapid urbanization in the global context of climate change, the vulnerability degree of urban agglomeration is constructed by the Grey Model (GM (1, 1)). Based on the sixth phase of the Coupled Model Intercomparison Project (CMIP6) data sets SSP1-2.6, SSP2-4.5, and SSP5-8.5, drought, heat wave, and flood hazards under different emission scenarios are calculated. The vulnerability degree of the urban agglomeration and the climate change hazard were input into the climate change risk assessment model to evaluate future climate change risk. The analysis results show regional differences, with the Beijing–Tianjin–Hebei urban agglomeration having good urban resilience, the Yangtze River Delta urban agglomeration having slightly higher overall risk, and the Pearl River Delta urban agglomeration having the highest relative risk overall. On the whole, the higher the emission intensity is, the greater the risk of climate change to each urban agglomeration under different emission scenarios.

Suggested Citation

  • Jieming Chou & Mingyang Sun & Wenjie Dong & Weixing Zhao & Jiangnan Li & Yuanmeng Li & Jianyin Zhou, 2021. "Assessment and Prediction of Climate Risks in Three Major Urban Agglomerations of Eastern China," Sustainability, MDPI, vol. 13(23), pages 1-21, November.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:23:p:13037-:d:687376
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    References listed on IDEAS

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    1. Chengwei Wang & Qingchun Meng, 2020. "Research on the Sustainable Synergetic Development of Chinese Urban Economies in the Context of a Study of Industrial Agglomeration," Sustainability, MDPI, vol. 12(3), pages 1-15, February.
    2. N. W. Arnell & J. A. Lowe & A. J. Challinor & T. J. Osborn, 2019. "Global and regional impacts of climate change at different levels of global temperature increase," Climatic Change, Springer, vol. 155(3), pages 377-391, August.
    3. H. Apel & G. Aronica & H. Kreibich & A. Thieken, 2009. "Flood risk analyses—how detailed do we need to be?," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 49(1), pages 79-98, April.
    4. Carling C. Hay & Eric Morrow & Robert E. Kopp & Jerry X. Mitrovica, 2017. "Erratum: Probabilistic reanalysis of twentieth-century sea-level rise," Nature, Nature, vol. 552(7684), pages 278-278, December.
    5. Jun He & Xiao-Hua Yang & Jian-Qiang Li & Ju-Liang Jin & Yi-Ming Wei & Xiao-Juan Chen, 2015. "Spatiotemporal variation of meteorological droughts based on the daily comprehensive drought index in the Haihe River basin, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(2), pages 199-217, February.
    6. Hefei Huang & Huijuan Cui & Quansheng Ge, 2021. "Assessment of potential risks induced by increasing extreme precipitation under climate change," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 108(2), pages 2059-2079, September.
    7. Xueru Zhang & Jie Zhou & Wei Song, 2020. "Simulating Urban Sprawl in China Based on the Artificial Neural Network-Cellular Automata-Markov Model," Sustainability, MDPI, vol. 12(11), pages 1-13, May.
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