Research on Geological Disaster Risk Assessment Method Based on GIS in Changji City, Xinjiang

Abstract

This study takes the risk assessment of geological disasters in Changji City as the research object. By reviewing the detailed investigation report and risk survey documents of 1:50000 geological disasters in Changji City, along with the annual verification, investigation, and exploration results of major hidden danger points, we collected and organized the necessary data for the assessment and integrated multidisciplinary knowledge such as geology, GIS technology, and statistics. The study aims to identify the inducing factors, development characteristics, and distribution law of geological disasters in the area, thereby determining the risk assessment factors. To ascertain the weight of these factors, we employed an evidence weight model and a machine learning method. The vulnerability assessment, incorporating existing basic data and vulnerability factors such as population density, building density, and road density, was conducted using fuzzy mathematics for Changji City. Finally, the risk assessment used the ArcGIS analysis function to calculate the risk and vulnerability assessment results. Through ArcGIS, we superimposed the risk grade and vulnerability grade of geological disasters on a grid, ultimately obtaining the risk assessment results for the study area.