Quantitative risk assessment of regional landslide geological disasters: a case study in Damusi Township

Zhimin Feng; Yong Wang; Haiqiang Xin; Pengfei Wu; Hairong Liu; Shanqing Zhang

doi:10.1117/12.3007459

30 August 2023 Quantitative risk assessment of regional landslide geological disasters: a case study in Damusi Township

Zhimin Feng, Yong Wang, Haiqiang Xin, Pengfei Wu, Hairong Liu, Shanqing Zhang

Proceedings Volume 12797, Second International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023); 1279708 (2023) https://doi.org/10.1117/12.3007459
Event: 2nd International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023), 2023, Qingdao, China

Abstract

This paper takes Damusi Township as a case study to explore the model for assessing the risk of geological disasters, aiming to objectively understand the level of geological disaster risk in the monitoring area and enhance the capability of geological disaster prevention and control. The paper discusses factors contributing to the occurrence of geological disasters, including slope, slope direction, curvature, roads, faults, engineering geological formations, gully density, elevation difference, distance to water system, and normalized vegetation index, etc. Two evaluation methods, qualitative and quantitative, are introduced. The qualitative analysis relies primarily on expert rating analysis, while quantitative analysis tends to rely on mathematical methods for quantification. Emphasis is placed on the combined evaluation model of Analytic Hierarchy Process (AHP) - Information Amount Method for assessing the susceptibility of disasters. According to the calculation model's evaluation results, the susceptibility evaluation results are divided into four levels according to the natural breakpoint method: none (0.000-0.242), low (0.243-0.485), medium (0.486-0.677), and high (0.678-1.000), and a regional landslide susceptibility evaluation map is obtained. In the conclusion section, the disaster initiation mechanism and motion characteristics are analysed in detail, and the degree of impact caused by the occurrence of disasters under different working conditions is analysed. Finally, the paper provides a specific disaster impact analysis, offering important reference data for disaster prevention and control.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhimin Feng, Yong Wang, Haiqiang Xin, Pengfei Wu, Hairong Liu, and Shanqing Zhang "Quantitative risk assessment of regional landslide geological disasters: a case study in Damusi Township", Proc. SPIE 12797, Second International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023), 1279708 (30 August 2023); https://doi.org/10.1117/12.3007459

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KEYWORDS

Matrices

Roads

Risk assessment

Vegetation

Analytics

Engineering

Mathematical modeling

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