Abstract:
Cataloging maps form the basis of geological hazard susceptibility evaluation. The dynamic update of cataloging maps is crucial for realizing the dynamic evaluation of geological hazards. Recognizing the significant human factors involved in cataloging maps for geological disaster prevention and reduction, this paper proposes a method of dynamically updating cataloging maps based on comprehensive remote sensing technology. It studies the influence of dynamic updates of cataloging maps on disaster susceptibility evaluation, with Deqin County of Yunnan Province chosen as the research area. Initially, the cataloged map of geological disasters in the study area is dynamically updated based on the deformation concentration area obtained through InSAR monitoring and optical inter pretation results. Secondly, we select elevation, slope, distance from the river, distance from faults, distance from roads, and engineering rock group as susceptibility evaluation factors. We employ the information content method and the weight of evidence method to evaluate and partition the susceptibility of geological disasters in the study area based on the original disaster cataloging map and dynamically updated disaster cataloging map. This paper uses the test curve to verify and compare the susceptibility evaluation results. The results indicate that: (1)The susceptibility evaluation results after dynamic updating of the cataloging map have higher reliability, with reliability potentially increasing by 8% to 9%; (2)Different evaluation models exhibit varied responses to the dynamic update of catalogs. The accuracy of the two evaluation methods in this paper is as follows: information content method>weight of evidence method based on the updated disaster cataloging map. (3)According to the information content method based on the updated disaster cataloging map of Deqin County, prone zoning is as follows: the area of low prone area is 2361.83 km
2, accounting for 31.77%; the area of medium prone area is 1952.58 km
2, accounting for 26.27%; the area of high prone area is 1986.09 km
2, accounting for 26.72%; and the area of very highprone area is 1132.92 km
2, accounting for 15.24%.