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Method for site selection of relief supply warehouses in earthquakes with Ms ≥ 7—a case study of western Yunnan, China

Author

Listed:
  • Xing Ju

    (China University of Geosciences (Beijing)
    China Aero Geophysical Survey and Remote Sensing Center for Natural Resources
    Ministry of Nature and Resources)

  • Yunxiao Fan

    (China University of Geosciences (Beijing))

  • Tianqi Li

    (China Aero Geophysical Survey and Remote Sensing Center for Natural Resources)

  • Yi Niu

    (China University of Geosciences (Beijing))

  • Hongkun Liang

    (China Institute for Geo-Environmental Monitoring)

  • Ying Wang

    (China Aero Geophysical Survey and Remote Sensing Center for Natural Resources
    Ministry of Nature and Resources)

  • Chenyu Hao

    (China University of Geosciences (Beijing))

  • Liguo Jiao

    (China Earthquake Administration)

  • Xi Xu

    (China Aero Geophysical Survey and Remote Sensing Center for Natural Resources)

Abstract

Relief supply warehouses are material warehouses built to cope with natural disasters and guarantee the supply of life necessities. Great earthquakes (with Ms ≥ 7) are overwhelming natural disasters beyond human control. The efficiency in rescuing earthquake victims depends on if the construction preparations of large relief supply warehouses have fully assessed the influence weights of the factors of large earthquake disasters. We innovatively proposes a method for selecting ideal site of relief supply warehouses in terms of seismic evaluation and the quantification of site selection criteria. We assess disaster-affected areas and screen the transport mode of relief supplies based on seismic prediction and remote sensing recognition, quantify and classify the site selection criteria of relief supply warehouses in China, and finally determine the ideal site. Taking a seismically-active region as a study case, we identify seven major disaster-affected areas, estimate the largest safe flight range (255 km) of a helicopter in post-earthquake transport of relief supplies, and pre-selecte 37 candidate sites. We suggest that the spatial distances between candidate sites and essential transport hubs (such as airports, railway stations, and highway entrances/exits) and the construction planning of the city are crucial indicators for the ideal site selection.

Suggested Citation

  • Xing Ju & Yunxiao Fan & Tianqi Li & Yi Niu & Hongkun Liang & Ying Wang & Chenyu Hao & Liguo Jiao & Xi Xu, 2023. "Method for site selection of relief supply warehouses in earthquakes with Ms ≥ 7—a case study of western Yunnan, 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. 116(3), pages 3495-3520, April.
  • Handle: RePEc:spr:nathaz:v:116:y:2023:i:3:d:10.1007_s11069-023-05821-5
    DOI: 10.1007/s11069-023-05821-5
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    References listed on IDEAS

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    1. Jiaxin Geng & Hanping Hou & Shaoqing Geng, 2021. "Optimization of Warehouse Location and Supplies Allocation for Emergency Rescue under Joint Government–Enterprise Cooperation Considering Disaster Victims’ Distress Perception," Sustainability, MDPI, vol. 13(19), pages 1-14, September.
    2. Changlong Li & Weijin Xu & Jian Wu & Mengtan Gao, 2016. "Using new models to assess probabilistic seismic hazard of the North–South Seismic Zone in 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. 82(1), pages 659-681, May.
    3. Yi Lu & Jiuping Xu, 2014. "The progress of emergency response and rescue in China: a comparative analysis of Wenchuan and Lushan earthquakes," 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. 74(2), pages 421-444, November.
    4. Junkang He & Chenpeng Feng & Dan Hu & Liang Liang, 2017. "A Decision Model for Emergency Warehouse Location Based on a Novel Stochastic MCDA Method: Evidence from China," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-10, November.
    5. Xinxin Yan & Hanping Hou & Jianliang Yang & Jiaqi Fang, 2021. "Site Selection and Layout of Material Reserve Based on Emergency Demand Graduation under Large-Scale Earthquake," Sustainability, MDPI, vol. 13(3), pages 1-15, January.
    6. Atefe Baghaian & M. M. Lotfi & Shabnam Rezapour, 2022. "Integrated deployment of local urban relief teams in the first hours after mass casualty incidents," Operational Research, Springer, vol. 22(4), pages 4517-4555, September.
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