Landslide Hazard Risk Assessment Based on Disaster Bearing Body: a Case Study of Heitai Landslide Group in Yongjing County, Gansu Province
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College of Geosciences and Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China
Shanghai Urban Construction Design & Research Institute (Group) Co., Ltd., Shanghai 200125, China
Submission date: 2023-07-18
Final revision date: 2023-08-12
Acceptance date: 2023-09-08
Online publication date: 2023-11-06
Publication date: 2024-01-03
Corresponding author
Xuan Song   

North China University of Water Resources and Electric Power, China
Pol. J. Environ. Stud. 2024;33(1):847-857
Landslides pose a huge threat to human safety and infrastructure, and quantitative risk assessment of landslide disasters is of great significance for regional geological disaster prevention and control. In this study, there is an undeniable distance issue between the development area of landslides and the disaster bearing body based on a large scale. Based on this, the concept of disaster bearing capacity was proposed, and a landslide disaster risk assessment method with disaster bearing bodies as the research object was ultimately constructed. Taking the geological conditions of the Heitai landslide group as the research object, the impact range of the landslide under different working conditions on the east and south sides was determined using Massflow software, and the disaster bearing bodies within the impact range were divided into fishing nets using GIS technology. Each fishing net was endowed with life value and economic value, and landslide risk assessment was conducted on the east and south sides of Heitai. The results indicate that the study area has 57.3%, 14.2%, 18.1%, and 10.4% of extremely high, high, medium, and low disaster bearing areas, respectively. The extremely high, high, medium, and low risk areas in this region account for 12.9%, 15.8%, 22.2%, and 49.1% respectively. The proportion of extremely high, high, medium, and low risk areas in the economy is 7.1%, 23.2%, 15.6%, and 54.2%, respectively. The risk quantification method proposed in this article can provide a theoretical basis for landslide disaster warning.
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