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Integrated risk zoning of drought and waterlogging disasters based on fuzzy comprehensive evaluation in Anhui Province, China

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Listed:
  • Zhongyi Sun
  • Jiquan Zhang
  • Qi Zhang
  • Yue Hu
  • Denghua Yan
  • Chunyi Wang

Abstract

This study presents a methodology for risk analysis, assessment, combination, and regionalization of integrated drought and waterlogging disasters in Anhui Province, which is supported by geographical information systems (GIS) and technique of natural disaster risk assessment from the viewpoints of climatology, geography, disaster science, environmental science, and so on. Along with the global warming, the occurrences of water-related disasters become more frequent and serious. It is necessary to determine the mode of spatial distribution of water-related disaster risk. Based on the principle of natural disaster risk, natural conditions, and socioeconomic situation, drought and waterlogging disaster risk index, which combined hazard, exposure, vulnerability, and restorability, was developed by using combined weights, entropy, and fuzzy comprehensive evaluation method. Drought and waterlogging disaster risk zoning map was made out by using GIS spatial analysis technique and gridding GIS technique. It was used for comparing the relative risk of economic and life losses in different grids of Anhui Province. It can also be used to compare the situation of different levels of drought and waterlogging disaster combination risk in a similar place. The result shows that the northwestern and central parts of Anhui Province possess higher risk, while the southwestern and northeastern parts possess lower risk. The information obtained from statistical offices and remote sensing data in relation to results compiled were statistically evaluated. The results obtained from this study are specifically intended to support local and national governmental agencies on water-related disaster management. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • 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.
    • Handle: RePEc:spr:nathaz:v:71:y:2014:i:3:p:1639-1657
    DOI: 10.1007/s11069-013-0971-9
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    References listed on IDEAS

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    1. Jiquan Zhang & Norio Okada & Hirokazu Tatano & Seiji Hayakawa, 2004. "Damage Evaluation of Agro-meteorological Hazards in the Maize-Growing Region of Songliao Plain, China: Case Study of Lishu County of Jilin Province," 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. 31(1), pages 209-232, January.
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    Cited by:

    1. Junfei Chen & Menghua Deng & Lu Xia & Huimin Wang, 2017. "Risk Assessment of Drought, Based on IDM-VFS in the Nanpan River Basin, Yunnan Province, China," Sustainability, MDPI, vol. 9(7), pages 1-16, June.
    2. Aimei Miao & Hongxia Wang & Chunqing Dong & Aimin Qin, 2021. "Statistical characteristics and risk zoning of different duration heavy rainfall in Shanxi," 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. 106(3), pages 2407-2436, April.
    3. Moumita Palchaudhuri & Sujata Biswas, 2016. "Application of AHP with GIS in drought risk assessment for Puruliya district, India," 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. 84(3), pages 1905-1920, December.
    4. Chengguang Lai & Xiaohong Chen & Zhaoli Wang & Haijun Yu & Xiaoyan Bai, 2020. "Flood Risk Assessment and Regionalization from Past and Future Perspectives at Basin Scale," Risk Analysis, John Wiley & Sons, vol. 40(7), pages 1399-1417, July.
    5. Jieun Ryu & Eun Joo Yoon & Chan Park & Dong Kun Lee & Seong Woo Jeon, 2017. "A Flood Risk Assessment Model for Companies and Criteria for Governmental Decision-Making to Minimize Hazards," Sustainability, MDPI, vol. 9(11), pages 1-26, November.
    6. 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.
    7. 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.
    8. Chengguang Lai & Xiaohong Chen & Xiaoyu Chen & Zhaoli Wang & Xushu Wu & Shiwei Zhao, 2015. "A fuzzy comprehensive evaluation model for flood risk based on the combination weight of game theory," 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. 77(2), pages 1243-1259, June.
    9. Meiyi Jiang & Xiaoping Xue & Lijuan Zhang & Yuying Chen & Cheng Zhao & Haiyan Song & Nan Wang, 2022. "Peanut Drought Risk Zoning in Shandong Province, China," Sustainability, MDPI, vol. 14(6), pages 1-21, March.
    10. Wei Jian & Shanshan Li & Chengguang Lai & Zhaoli Wang & Xiangju Cheng & Edmond Yat-Man Lo & Tso-Chien Pan, 2021. "Evaluating pluvial flood hazard for highly urbanised cities: a case study of the Pearl River Delta Region 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. 105(2), pages 1691-1719, January.

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