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Infrastructural Aspects of Rain-Related Cascading Disasters: A Systematic Literature Review

Author

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  • Thomas J. Huggins

    (Department of Statistics & Data Science, Southern University of Science and Technology, Shenzhen 518055, China
    Division of Science & Technology, BNU-HKBU United International College, Zhuhai 519085, China)

  • Feiyu E

    (Department of Statistics & Data Science, Southern University of Science and Technology, Shenzhen 518055, China)

  • Kangming Chen

    (Department of Statistics & Data Science, Southern University of Science and Technology, Shenzhen 518055, China)

  • Wenwu Gong

    (Department of Statistics & Data Science, Southern University of Science and Technology, Shenzhen 518055, China)

  • Lili Yang

    (Department of Statistics & Data Science, Southern University of Science and Technology, Shenzhen 518055, China)

Abstract

Cascading disasters progress from one hazard event to a range of interconnected events and impacts, with often devastating consequences. Rain-related cascading disasters are a particularly frequent form of cascading disasters in many parts of the world, and they are likely to become even more frequent due to climate change and accelerating coastal development, among other issues. (1) Background : The current literature review extended previous reviews of documented progressions from one natural hazard event to another, by focusing on linkages between rain-related natural hazard triggers and infrastructural impacts. (2) Methods : A wide range of case studies were reviewed using a systematic literature review protocol. The review quality was enhanced by only including case studies that detailed mechanisms that have led to infrastructural impacts, and which had been published in high-quality academic journals. (3) Results : A sum of 71 articles, concerning 99 case studies of rain-related disasters, were fully reviewed. Twenty-five distinct mechanisms were identified, as the foundation for a matrix running between five different natural hazards and eight types of infrastructural impacts. (4) Conclusion : Relatively complex quantitative methods are needed to generate locality-specific, cascading disaster likelihoods and scenarios. Appropriate methods can leverage the current matrix to structure both Delphi-based approaches and network analysis using longitudinal data.

Suggested Citation

  • Thomas J. Huggins & Feiyu E & Kangming Chen & Wenwu Gong & Lili Yang, 2020. "Infrastructural Aspects of Rain-Related Cascading Disasters: A Systematic Literature Review," IJERPH, MDPI, vol. 17(14), pages 1-25, July.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:14:p:5175-:d:386174
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    References listed on IDEAS

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    1. Mieko Kumasaki & Malcolm King & Mitsuru Arai & Lili Yang, 2016. "Anatomy of cascading natural disasters in Japan: main modes and linkages," 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. 80(3), pages 1425-1441, February.
    2. Gina L. Tonn & Seth D. Guikema & Celso M. Ferreira & Steven M. Quiring, 2016. "Hurricane Isaac: A Longitudinal Analysis of Storm Characteristics and Power Outage Risk," Risk Analysis, John Wiley & Sons, vol. 36(10), pages 1936-1947, October.
    3. Atta-ur-Rahman & Amir Khan & Andrew Collins & Fareen Qazi, 2011. "Causes and extent of environmental impacts of landslide hazard in the Himalayan region: a case study of Murree, Pakistan," 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. 57(2), pages 413-434, May.
    4. Gianluca Pescaroli & David Alexander, 2018. "Understanding Compound, Interconnected, Interacting, and Cascading Risks: A Holistic Framework," Risk Analysis, John Wiley & Sons, vol. 38(11), pages 2245-2257, November.
    5. Melanie Kappes & Margreth Keiler & Kirsten Elverfeldt & Thomas Glade, 2012. "Challenges of analyzing multi-hazard risk: a review," 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. 64(2), pages 1925-1958, November.
    6. Sarfaraz Gani Adnan & Heidi Kreibich, 2016. "An evaluation of disaster risk reduction (DRR) approaches for coastal delta cities: a comparative analysis," 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. 83(2), pages 1257-1278, September.
    7. Nicholas Santella & Laura J. Steinberg & Gloria Andrea Aguirra, 2011. "Empirical Estimation of the Conditional Probability of Natech Events Within the United States," Risk Analysis, John Wiley & Sons, vol. 31(6), pages 951-968, June.
    8. Mieko Kumasaki & Malcolm King & Mitsuru Arai & Lili Yang, 2016. "Anatomy of cascading natural disasters in Japan: main modes and linkages," 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. 80(3), pages 1425-1441, February.
    9. Yagci Sokat, Kezban & Dolinskaya, Irina S. & Smilowitz, Karen & Bank, Ryan, 2018. "Incomplete information imputation in limited data environments with application to disaster response," European Journal of Operational Research, Elsevier, vol. 269(2), pages 466-485.
    10. Cunado, Juncal & Ferreira, Susana, 2011. "The Macroeconomic Impacts of Natural Disasters: New Evidence from Floods," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103721, Agricultural and Applied Economics Association.
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    2. Thomas J. Huggins & Lili Yang & Didier Sornette, 2021. "Introduction to the Special Issue on Cascading Disaster Modelling and Prevention," IJERPH, MDPI, vol. 18(9), pages 1-4, April.

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