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Spatial risk occurrence of extreme precipitation in China under historical and future scenarios

Author

Listed:
  • Haoyu Jin

    (Sun Yat-Sen University
    Sun Yat-Sen University
    Sun Yat-Sen University)

  • Ruida Zhong

    (Sun Yat-Sen University
    Sun Yat-Sen University
    Sun Yat-Sen University)

  • Moyang Liu

    (The Australian National University (ANU))

  • Changxin Ye

    (Sun Yat-Sen University
    Sun Yat-Sen University
    Sun Yat-Sen University)

  • Xiaohong Chen

    (Sun Yat-Sen University
    Sun Yat-Sen University
    Sun Yat-Sen University)

Abstract

In recent years, extreme precipitation events have shown a significant increasing trend in both intensity and amount. Therefore, it is urgent to delineate the areas vulnerable to extreme precipitation and formulate more reasonable measures to reduce the risk of extreme precipitation. In this study, we selected gross domestic product, population, nighttime light, normalized difference vegetation index, runoff depth, and relief degree of land surface data to comprehensively characterize surface vulnerability. We selected the 90, 95, and 99% precipitation quantiles and their occurrence frequencies in the historical and future periods as hazard factors, and calculated the extreme precipitation risks faced by different regions of China based on a risk calculation formula. The results indicate that the Qinghai-Tibet Plateau and urbanized regions such as the Yangtze River Delta are high-risk areas affected by extreme precipitation. The precipitation simulated by the Beijing Climate Center climate system model version 2 (BCC-CSM2-MR) global climate model selected in this study is relatively smaller than the historical precipitation, but it can basically reflect the actual spatial distribution characteristics of precipitation. Under four future climate scenarios, the joint occurrence probability of extreme precipitation will decrease, while high-risk areas of extreme precipitation will still be located in the Qinghai-Tibet Plateau and densely urbanized areas. This study systematically analyzed the spatial distribution characteristics of extreme precipitation risk under historical and future scenarios, providing theoretical support for the formulation of more reasonable measures to prevent extreme precipitation risk.

Suggested Citation

  • Haoyu Jin & Ruida Zhong & Moyang Liu & Changxin Ye & Xiaohong Chen, 2023. "Spatial risk occurrence of extreme precipitation in China under historical and future scenarios," 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. 119(3), pages 2033-2062, December.
    • Handle: RePEc:spr:nathaz:v:119:y:2023:i:3:d:10.1007_s11069-023-06177-6
    DOI: 10.1007/s11069-023-06177-6
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    References listed on IDEAS

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    1. Min-Hee Lee & Chang-Hoi Ho & Jinwon Kim & Chang-Keun Song, 2012. "Assessment of the changes in extreme vulnerability over East Asia due to global warming," Climatic Change, Springer, vol. 113(2), pages 301-321, July.
    2. Zhan, Choujun & Cao, Weiwen & Fan, Junyu & Tse, C.K., 2018. "Impulse Weibull distribution for daily precipitation and climate change in China during 1961–2011," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 57-67.
    3. Bing-Chen Jhong & Jung Huang & Ching-Pin Tung, 2019. "Spatial Assessment of Climate Risk for Investigating Climate Adaptation Strategies by Evaluating Spatial-Temporal Variability of Extreme Precipitation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(10), pages 3377-3400, August.
    4. Ibrahim, Nur Atirah & Wan Alwi, Sharifah Rafidah & Manan, Zainuddin Abdul & Mustaffa, Azizul Azri & Kidam, Kamarizan, 2022. "Risk matrix approach of extreme temperature and precipitation for renewable energy systems in Malaysia," Energy, Elsevier, vol. 254(PC).
    5. Carmela De Vivo & Marta Ellena & Vincenzo Capozzi & Giorgio Budillon & Paola Mercogliano, 2022. "Risk assessment framework for Mediterranean airports: a focus on extreme temperatures and precipitations and sea level rise," 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. 111(1), pages 547-566, March.
    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. Neville Nicholls & Sonia Seneviratne, 2015. "Comparing IPCC assessments: how do the AR4 and SREX assessments of changes in extremes differ?," Climatic Change, Springer, vol. 133(1), pages 7-21, November.
    8. Charles A. Ogunbode & Rouven Doran & Gisela Böhm, 2020. "Exposure to the IPCC special report on 1.5 °C global warming is linked to perceived threat and increased concern about climate change," Climatic Change, Springer, vol. 158(3), pages 361-375, February.
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