Vulnerability Assessment and Spatial Pattern Analysis of Earthquake Disaster in Hebei Province
DOI:
https://doi.org/10.53469/jsshl.2024.07(03).25Keywords:
Entropy weight method, GIS, Analytic hierarchy process, Spatial autocorrelation analysis, Aggregation analysisAbstract
To evaluate the vulnerability of earthquake disaster in Hebei Province and analyze the spatial pattern, the aim is to provide theoretical basis for emergency management departments to prevent and respond to disasters. This study uses the subjective and objective evaluation mechanism, through the integration of analytic hierarchy process and entropy weight method to determine the weight distribution of each index. The assessment model is used to assess the vulnerability of earthquake disasters, and the spatial pattern characteristics are studied by global spatial autocorrelation analysis and LISA clustering analysis.The main conclusions are as follows: (1) The area with the greatest vulnerability to earthquake disaster is Shijiazhuang High-tech Zone (0.761); The lowest value is 0.243 in Qian 'an City, Tangshan City, and there are great differences among some regions. (2) The vulnerability of all counties (cities and districts) in Hebei Province has a positive correlation and aggregation with their spatial locations, and the spatial distribution is low in the whole province, high in the local area, high in the southeast and low in the northwest. (3) It is found that measures such as training health workers and expanding professional emergency management team can reduce the overall level of earthquake disaster vulnerability in Hebei Province.
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