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Multi-Hazard Population Exposure in Low-Elevation Coastal Zones of China from 1990 to 2020

Author

Listed:
  • Siqi Feng

    (School of Environment and Geographical Sciences, Shanghai Normal University, Shanghai 200234, China)

  • Kexin Yang

    (School of Environment and Geographical Sciences, Shanghai Normal University, Shanghai 200234, China)

  • Jianli Liu

    (School of Science, Technology and Engineering, University of the Sunshine Coast, Sunshine Coast, QLD 4556, Australia)

  • Yvlu Yang

    (School of Environment and Geographical Sciences, Shanghai Normal University, Shanghai 200234, China)

  • Luna Zhao

    (School of Environment and Geographical Sciences, Shanghai Normal University, Shanghai 200234, China)

  • Jiahong Wen

    (School of Environment and Geographical Sciences, Shanghai Normal University, Shanghai 200234, China)

  • Chengcheng Wan

    (School of Environment and Geographical Sciences, Shanghai Normal University, Shanghai 200234, China)

  • Lijun Yan

    (The College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 200234, China)

Abstract

China’s low-elevation coastal zone (LECZ) is characterized by multiple hazards and high impacts. How to quantitatively portray the spatiotemporal characteristics of the exposed population to multi-hazards in the LECZ is an important subject of risk reduction. In this study, the overall characteristics, spatial patterns, and main impact hazard in the LECZ from 1990 to 2020 were investigated using a multi-hazard population exposure model, spatial autocorrelation method, and principal component analysis (PCA) method. The results show that among the four hazards (earthquake, tropical cyclones (TCs), flood, and storm surge), TCs cover the largest area, accounting for 90.1% of the total LECZ area. TCs were also the hazard with the largest average annual growth rate of the exposed population (2.36%). The central region of China’s LECZ is the cluster of exposed populations and the main distribution area with the largest increase in exposed populations. Therefore, the central region is a hotspot for multi-hazard risk management. Additionally, flood contributes the most to the multi-hazard population exposure index; thus, flood is a key hazard of concern in the LECZ. This study identifies the hotspot areas and priority hazards of multi-hazard exposed populations in the LECZ and provides important policy recommendations for multi-hazard risk management in the LECZ, which is important for LECZ to enhance the resilience of hazards.

Suggested Citation

  • Siqi Feng & Kexin Yang & Jianli Liu & Yvlu Yang & Luna Zhao & Jiahong Wen & Chengcheng Wan & Lijun Yan, 2023. "Multi-Hazard Population Exposure in Low-Elevation Coastal Zones of China from 1990 to 2020," Sustainability, MDPI, vol. 15(17), pages 1-18, August.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:17:p:12813-:d:1224284
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    References listed on IDEAS

    as
    1. Yinyin Dou & Qingxu Huang & Chunyang He & Shiting Meng & Qiang Zhang, 2018. "Rapid Population Growth throughout Asia’s Earthquake-Prone Areas: A Multiscale Analysis," IJERPH, MDPI, vol. 15(9), pages 1-19, August.
    2. Barbara Neumann & Athanasios T Vafeidis & Juliane Zimmermann & Robert J Nicholls, 2015. "Future Coastal Population Growth and Exposure to Sea-Level Rise and Coastal Flooding - A Global Assessment," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-34, March.
    3. Xuchao Yang & Chenming Yao & Qian Chen & Tingting Ye & Cheng Jin, 2019. "Improved Estimates of Population Exposure in Low-Elevation Coastal Zones of China," IJERPH, MDPI, vol. 16(20), pages 1-15, October.
    4. P. Sheik Mujabar & N. Chandrasekar, 2013. "Coastal erosion hazard and vulnerability assessment for southern coastal Tamil Nadu of India by using remote sensing and GIS," 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. 69(3), pages 1295-1314, December.
    5. Delavane B. Diaz, 2016. "Estimating global damages from sea level rise with the Coastal Impact and Adaptation Model (CIAM)," Climatic Change, Springer, vol. 137(1), pages 143-156, July.
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