Mingxing Lu, Haoran Yu, Jianhao Qin
Institute of Disaster Prevention, Sanhe, Hebei, China
Taking Xiantao City in Hubei Province as an example, the risk of flood disaster was quantitatively assessed, aiming to provide a theoretical basis for emergency management departments to prevent flood disaster. Based on the subjective weight of indicators determined by the analytic hierarchy process. The entropy weight method is used to objectively evaluate the flood disaster analysis. On this basis, the global spatial autocorrelation analysis and LISA clustering analysis are used to study its spatial pattern characteristics. The main conclusions are as follows: among the flood disaster risk assessment indicators, the heavy rainstorm frequency has a larger weight of 0.270, and the flood control material reserve has the smallest weight of 0.006. The flood disaster risk value of Pengchang Town is the highest in all regions of Xiantao City, Hubei Province, The flood risk value of Yanglinwei Town is the lowest. The risk level of flood disaster in Xiantao City, Hubei Province is generally medium low risk, and a few areas are high risk areas, without high risk areas.
Entropy Weight Method; GIS; Analytic Hierarchy Process; Spatial autocorrelation analysis; Moran's index
Mingxing Lu, Haoran Yu, Jianhao Qin. Risk Assessment and Spatial Pattern Analysis of Flood Disaster in Xiantao City in Hubei Province. Academic Journal of Environment & Earth Science (2023) Vol. 5 Issue 7: 57-64. https://doi.org/10.25236/AJEE.2023.050708.
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