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Fuzzy Comprehensive Evaluation-Based Disaster Risk Assessment of Desertification in Horqin Sand Land, China

Author

Listed:
  • Yongfang Wang

    (School of Environment, Northeast Normal University, Changchun 130117, China)

  • Jiquan Zhang

    (School of Environment, Northeast Normal University, Changchun 130117, China)

  • Enliang Guo

    (School of Environment, Northeast Normal University, Changchun 130117, China)

  • Zhongyi Sun

    (School of Environment, Northeast Normal University, Changchun 130117, China)

Abstract

Desertification is a typical disaster risk event in which human settlements and living environments are destroyed. Desertification Disaster Risk Assessment can control and prevent the occurrence and development of desertification disasters and reduce their adverse influence on human society. This study presents the methodology and procedure for risk assessment and zoning of desertification disasters in Horqin Sand Land. Based on natural disaster risk theory and the desertification disaster formation mechanism, the Desertification Disaster Risk Index (DDRI) combined hazard, exposure, vulnerability and restorability factors and was developed mainly by using multi-source data and the fuzzy comprehensive evaluation method. The results showed that high risk and middle risk areas account for 28% and 23% of the study area, respectively. They are distributed with an “S” type in the study area. Low risk and very low risk areas account for 21% and 10% of the study area, respectively. They are distributed in the west-central and southwestern parts. Very high risk areas account for 18% of the study area and are distributed in the northeastern parts. The results can be used to know the desertification disaster risk level. It has important theoretical and practical significance to prevention and control of desertification in Horqin Sand Land and even in Northern China.

Suggested Citation

  • Yongfang Wang & Jiquan Zhang & Enliang Guo & Zhongyi Sun, 2015. "Fuzzy Comprehensive Evaluation-Based Disaster Risk Assessment of Desertification in Horqin Sand Land, China," IJERPH, MDPI, vol. 12(2), pages 1-23, February.
    • Handle: RePEc:gam:jijerp:v:12:y:2015:i:2:p:1703-1725:d:45440
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    References listed on IDEAS

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    1. Enliang Guo & Jiquan Zhang & Xuehui Ren & Qi Zhang & Zhongyi Sun, 2014. "Integrated risk assessment of flood disaster based on improved set pair analysis and the variable fuzzy set theory in central Liaoning 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. 74(2), pages 947-965, November.
    2. Qi Zhang & Jiquan Zhang & Liupeng Jiang & Xingpeng Liu & Zhijun Tong, 2014. "Flood Disaster Risk Assessment of Rural Housings — A Case Study of Kouqian Town in China," IJERPH, MDPI, vol. 11(4), pages 1-16, April.
    3. Zhongyi Sun & Jiquan Zhang & Qi Zhang & Yue Hu & Denghua Yan & Chunyi Wang, 2014. "Integrated risk zoning of drought and waterlogging disasters based on fuzzy comprehensive evaluation in Anhui 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. 71(3), pages 1639-1657, April.
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    Cited by:

    1. Dongmei Huang & Weijun Li & Xikun Chang & Yunliang Tan, 2019. "Key Factors Identification and Risk Assessment for the Stability of Deep Surrounding Rock in Coal Roadway," IJERPH, MDPI, vol. 16(15), pages 1-15, August.
    2. Xiao Fu & Chong-Shi Gu & Huai-Zhi Su & Xiang-Nan Qin, 2018. "Risk Analysis of Earth-Rock Dam Failures Based on Fuzzy Event Tree Method," IJERPH, MDPI, vol. 15(5), pages 1-22, April.
    3. Lihong Wang & Zaiwu Gong, 2017. "Priority of a Hesitant Fuzzy Linguistic Preference Relation with a Normal Distribution in Meteorological Disaster Risk Assessment," IJERPH, MDPI, vol. 14(10), pages 1-16, October.

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