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Risk Assessment and Regionalization of Fire Disaster Based on Analytic Hierarchy Process and MODIS Data: A Case Study of Inner Mongolia, China

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  • Xu Jia

    (College of Resources and Environmental Economics, Inner Mongolia University of Finance and Economics, Hohhot, Inner Mongolia 010070, China)

  • Yong Gao

    (Collage of Desert Control Science and Engineering, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia 010011, China)

  • Baocheng Wei

    (College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China)

  • Shan Wang

    (College of Resources and Environmental Economics, Inner Mongolia University of Finance and Economics, Hohhot, Inner Mongolia 010070, China)

  • Guodong Tang

    (Collage of Desert Control Science and Engineering, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia 010011, China)

  • Zhonghua Zhao

    (Shanghai Institute of Tourism, Shanghai Normal University, Shanghai 200234, China)

Abstract

Inner Mongolia, as a fragile ecological zone in northern China, is prone to severe fires due to natural forces and intensive human disturbances. The development of a fire risk assessment system at the finer spatial scale is not sufficient in this region. In this study, we obtained the data of burned areas and fire hotspots numbers for Inner Mongolia from the Terra/Aqua Moderate-resolution Imaging Spectroradiometer data (MCD45A1 and MOD14A1/MYD14A1, 2002~2016). These fire maps were used to determine the fire spatial and temporal variability, as well as the interactions with environmental controls (climatic, vegetation, topography, and anthropic characteristics) derived in geographic information system (GIS) layers. Based on this, the fire-causing variables were selected as the dependent variables for model building, whereas data on burned area and number of fire hotspots were used for model validation. The fire risk assessment map was then generated in a 500 × 500 m grid cell using an analytic hierarchy process approach and a GIS technique. This work could be easily used for the ultimate aim of supporting fire management.

Suggested Citation

  • Xu Jia & Yong Gao & Baocheng Wei & Shan Wang & Guodong Tang & Zhonghua Zhao, 2019. "Risk Assessment and Regionalization of Fire Disaster Based on Analytic Hierarchy Process and MODIS Data: A Case Study of Inner Mongolia, China," Sustainability, MDPI, vol. 11(22), pages 1-17, November.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:22:p:6263-:d:284776
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    References listed on IDEAS

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    1. Christos Vasilakos & Kostas Kalabokidis & John Hatzopoulos & Ioannis Matsinos, 2009. "Identifying wildland fire ignition factors through sensitivity analysis of a neural network," 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. 50(1), pages 125-143, July.
    2. Litao Wang & Yi Zhou & Weiqi Zhou & Shixing Wang, 2013. "Fire danger assessment with remote sensing: a case study in Northern 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. 65(1), pages 819-834, January.
    3. Rajagopal, 2014. "The Human Factors," Palgrave Macmillan Books, in: Architecting Enterprise, chapter 9, pages 225-249, Palgrave Macmillan.
    4. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    5. Yu Chang & Zhiliang Zhu & Yuting Feng & Yuehui Li & Rencang Bu & Yuanman Hu, 2016. "The spatial variation in forest burn severity in Heilongjiang Province, 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. 81(2), pages 981-1001, March.
    6. Jinghu Pan & Weiguo Wang & Junfeng Li, 2016. "Building probabilistic models of fire occurrence and fire risk zoning using logistic regression in Shanxi Province, 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. 81(3), pages 1879-1899, April.
    7. Yu Chang & Zhiliang Zhu & Yuting Feng & Yuehui Li & Rencang Bu & Yuanman Hu, 2016. "The spatial variation in forest burn severity in Heilongjiang Province, 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. 81(2), pages 981-1001, March.
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    Cited by:

    1. Yongyu Wang & Xiaoyang Ni & Jie Wang & Ziyi Hu & Kaihua Lu, 2020. "A Comprehensive Investigation on the Fire Hazards and Environmental Risks in a Commercial Complex Based on Fault Tree Analysis and the Analytic Hierarchy Process," IJERPH, MDPI, vol. 17(19), pages 1-11, October.

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