HUBEI AGRICULTURAL SCIENCES ›› 2023, Vol. 62 ›› Issue (8): 189-196.doi: 10.14088/j.cnki.issn0439-8114.2023.08.030

• Information Engineering • Previous Articles     Next Articles

Risk assessment of urban flood disasters based on multi-source spatial data——Taking Linfen City, Shanxi Province as an example

XUN Jia-chang1, NIE Cong2, XU Dong3, FANG He4   

  1. 1. School of Geological Engineering and Surveying and Mapping, Chang’an University,Xi’an 710054, China;
    2. School of Geomatics Science and Technology, Nanjing Tech University,Nanjing 211816, China;
    3. State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China;
    4. Zhejiang Climate Center, Hangzhou 310051, China
  • Received:2021-03-19 Online:2023-08-25 Published:2023-09-22

Abstract: Based on the theory of natural disaster risk, combined with multi-source spatial data (remote sensing data, reanalysis data, socio-economic data), the risk of disaster causing factors, the sensitivity of disaster-pregnant environment, and the ability to prevent and reduce disasters of flood and waterlogging disasters in Linfen City, Shanxi Province were evaluated. Taking into account the actual situation of Linfen City, 15 evaluation indicators were finally selected, and the weighted comprehensive index method was used for quantitative analysis, a comprehensive risk assessment model for flood disasters was built, and the distribution of flood risks was explored. The results indicated that the risk distribution of disaster causing factors was higher in the eastern and western regions than in the central region, and the overall trend was higher in the eastern region than in the western region; plains and basins with low terrain and small slopes were prone to flood influx, resulting in higher sensitivity to disaster environments. Regions such as mountainous and hilly areas generally had lower sensitivity to disaster environments; high urbanization level and densely populated areas had strong disaster prevention and reduction capabilities, while natural areas such as river valleys and mountains had overall weak disaster prevention and reduction capabilities; the overall distribution of comprehensive risk of flood and waterlogging disasters was gradually increasing from the west to the east, which was reflected in the high risk of river valleys, plains and basins with low economic level, heavy rainfall and large runoff. More than 50% of Linfen City was facing the risk of flood and waterlogging disasters. In general, the flood disaster had a great impact on the social, economic and ecological development of Linfen City.

Key words: flood disaster, comprehensive disaster risk assessment, spatial data, remote sensing data, reanalysis data, Linfen City, Shanxi Province

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