Evaluation of Landslide Susceptibility in Tekes County, Yili Prefecture Based on the Information Quantity Method

Xiaohong Cao; Bin Wu; Yanjun Shang; Weizhong Wang; Tao Xu; Qiaoxue Li; He Meng

doi:10.3390/app14146053

Applied Sciences (Jul 2024)

Evaluation of Landslide Susceptibility in Tekes County, Yili Prefecture Based on the Information Quantity Method

Xiaohong Cao,
Bin Wu,
Yanjun Shang,
Weizhong Wang,
Tao Xu,
Qiaoxue Li,
He Meng

Affiliations

Xiaohong Cao: College of Hydraulic and Civil Engineering, Xinjiang Agricultural University, Urumqi 830052, China
Bin Wu: College of Hydraulic and Civil Engineering, Xinjiang Agricultural University, Urumqi 830052, China
Yanjun Shang: College of Hydraulic and Civil Engineering, Xinjiang Agricultural University, Urumqi 830052, China
Weizhong Wang: Xinjiang Key Laboratory of Geological Hazard Prevention (Xinjiang Institute of Engineering), Urumqi 830023, China
Tao Xu: Xinjiang Key Laboratory of Geological Hazard Prevention (Xinjiang Institute of Engineering), Urumqi 830023, China
Qiaoxue Li: Xinjiang Key Laboratory of Geological Hazard Prevention (Xinjiang Institute of Engineering), Urumqi 830023, China
He Meng: Xinjiang Key Laboratory of Geological Hazard Prevention (Xinjiang Institute of Engineering), Urumqi 830023, China

DOI: https://doi.org/10.3390/app14146053
Journal volume & issue: Vol. 14, no. 14
p. 6053

Abstract

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In order to scientifically and rationally evaluate the susceptibility to landslide hazards in Tekes County, Yili State. This paper takes Tekes County in Xinjiang as an example, on the basis of a comprehensive analysis of the regional geological environment conditions and the distribution pattern and formation conditions of geological disasters, using the data of geological disaster points (landslide center points), and through the correlation matrix calculation of the evaluation factors, the nine evaluation factors with larger absolute values of correlation coefficients were determined to construct the evaluation system of the susceptibility to landslide geological hazards in Tekesi County. Combining the information quantity method and the entropy value method, using the weights determined by the entropy value method, the information quantity method is used to calculate the information quantity value of each factor within the factor, calculate the susceptibility index of landslide geological disasters within the territory of Tekes County, and then carry out the landslide susceptibility evaluation. The susceptibility of landslide disasters was evaluated by ArcGIS. The results show that the landslide disaster susceptibility level in Tekes County can be divided into four levels: high susceptibility, medium susceptibility, low susceptibility, and not susceptible, with areas of 491.3276 km2, 1181.5171 km2, 1674.7609 km2 and 5295.2976 km2 accounting for 5.68%, 13.67%, 19.38% and 61.27% of the total area of Tex County, respectively. The AUC number obtained by the success curve method (ROC) is 0.8736, reflecting the evaluation accuracy of 87.36%, indicating that the model method used in this paper is effective. The results are expected to provide practical data support for landslide disaster control in Tekes County and provide a reference for geological disaster monitoring, early warning and engineering prevention and control deployment in Yili Valley.

Published in Applied Sciences

ISSN: 2076-3417 (Online)
Publisher: MDPI AG
Country of publisher: Switzerland
LCC subjects: Technology: Engineering (General). Civil engineering (General); Science: Biology (General); Science: Physics; Science: Chemistry
Website: http://www.mdpi.com/journal/applsci

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