Study on Risk Assessment of Rainstorm Disaster in Shanxi Province based on GIS

This study focuses on Shanxi Province, establishing an index system for assessing rainstorm disaster risk based on four factors: risk, vulnerability, sensitivity, and disaster prevention capabilities. The evaluation employs the analytic hierarchy process and a weighted comprehensive assessment method. The findings indicate that certain areas in Taiyuan City and Hunyuan County are classified as high-risk zones, while Yangquan City and the western part of Luliang City are deemed medium-risk areas. Most regions in Shuozhou City, Xinzhou City, Changzhi City, Jincheng City, and Jinzhong City fall into the low-risk category.

Authors

Publication Details

Journal
International Journal of Education and Humanities
Published
2024-10-23
DOI
https://doi.org/10.54097/qg9cyx82
Primary Topic
Remote Sensing and Land Use
Type
article
Field-Weighted Citation Impact
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article

Study on Risk Assessment of Rainstorm Disaster in Shanxi Province based on GIS

Yanan Guo, Jin Xu
International Journal of Education and Humanities
Remote Sensing and Land Use
article

Study on Risk Assessment of Rainstorm Disaster in Shanxi Province based on GIS

Yanan Guo, Jin Xu
article en

Abstract

This study focuses on Shanxi Province, establishing an index system for assessing rainstorm disaster risk based on four factors: risk, vulnerability, sensitivity, and disaster prevention capabilities. The evaluation employs the analytic hierarchy process and a weighted comprehensive assessment method. The findings indicate that certain areas in Taiyuan City and Hunyuan County are classified as high-risk zones, while Yangquan City and the western part of Luliang City are deemed medium-risk areas. Most regions in Shuozhou City, Xinzhou City, Changzhi City, Jincheng City, and Jinzhong City fall into the low-risk category.

International Journal of Education and HumanitiesVol. 16(3)
Climate action
Openalex Percentile: Top 78%
Remote Sensing and Land Use
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