Landslide susceptibility assessment using weights-of-evidence model and cluster analysis along the highways in the Hubei section of the Three Gorges Reservoir Area

Chen, Linfei; Guo, Hao; Gong, Peisong; Yuying, Yang; Zuo, Zhili; Gu, Mingyun

doi:10.1016/j.cageo.2021.104899

Cited by 38 publications

(17 citation statements)

References 39 publications

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“…The information value (IV) model is a mathematical statistics method commonly used to analyze data. Through statistical analysis of historical data, the information value of each impact factor is calculated to determine the importance of each impact factor (Fan et al, 2012;Chen et al, 2021). The calculation method is as follows:…”

Section: Information Value Modelmentioning

confidence: 99%

Research on weighting method of geological hazard susceptibility evaluation index based on apriori Algorithm

Chen

Wei

et al. 2023

Front. Earth Sci.

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Given the inconsistency between the information value and the weight value in the weighted information value model, a weight model based on the Apriori algorithm is established in this paper to analyze the correlation between the second-level intervals of disaster factors and the susceptibility of geological disasters. The objective weight of the second-level intervals of each index factor is calculated through the mining of association rules by the Apriori algorithm. The subjective uncertainty of the existing second-level factor weighting method is eliminated. Taking the geological disaster data of Xiangtan urban area as an example, 10 evaluation indexes were selected to establish the entropy weight method-information value (EWM-IV) model and the entropy weight method-Apriori algorithm-information value (EWM-Apriori-IV) model to evaluate the geological disaster susceptibility, and the disaster area ratio and the receiver operating characteristic curve (ROC) verification method were used to test and analyze the evaluation results. The results showed that compared with the EWM-IV model, the EWM-Apriori-IV model is used to evaluate the disaster area ratio of high-prone area increased by 58.3%, and the disaster area ratio of low-prone area decreased by 43.1%, the area under the curve (AUC) increased by 7.4%, and the evaluation accuracy was relatively improved compared with the former. This paper proves the rationality and practicability of the weighting method of the geological hazard susceptibility evaluation index based on the Apriori algorithm.

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Section: Information Value Modelmentioning

confidence: 99%

Research on weighting method of geological hazard susceptibility evaluation index based on apriori Algorithm

Chen

Wei

et al. 2023

Front. Earth Sci.

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“…With the development of the Geographical Information System (GIS) and Remote Sensing (RS) technology, geological hazard susceptibility assessments have also become more efficient and accurate, which greatly accelerates the research process in this field. The assessment methods of geological hazards mainly include the Analytic Hierarchy Process (AHP) [3][4][5][6][7], the Support Vector Machine (SVM) [8,9], the Information Value method (IV) [10,11], the Frequency Ratio method (FR) [4,12], the Weight of Evidence method (WOE) [4,13,14], Artificial Neural Network (ANN) [15][16][17], Random Forest (RF) [8,18] and a variety of model coupling methods [19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Collapse Susceptibility Assessment in Taihe Town Based on Convolutional Neural Network and Information Value Method

Li,

Hu,

Lin

et al. 2024

Water

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The cause mechanism of collapse disasters is complex and there are many influencing factors. Convolutional Neural Network (CNN) has a strong feature extraction ability, which can better simulate the formation of collapse disasters and accurately predict them. Taihe town’s collapse threatens roads, buildings, and people. In this paper, road distance, water distance, normalized vegetation index, platform curvature, profile curvature, slope, slope direction, and geological data are used as input variables. This paper generates collapse susceptibility zoning maps based on the information value method (IV) and CNN, respectively. The results show that the accuracy of the susceptibility assessment of the IV method and the CNN method is 85.1% and 87.4%, and the accuracy of the susceptibility assessment based on the CNN method is higher. The research results can provide some reference for the formulation of disaster prevention and control strategies.

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“…In this paper, the influence of site selection of transmission tower foundation and the risk assessment of geological disasters in transmission lines are studied. Some scholars have performed a series of work on geological disasters and their control measures in the investigation of transmission line engineering in mountainous areas, and regional geological disasters induced by earthquakes [16][17][18][19][20][21][22][23][24][25]. In western Sichuan, what is the impact of frequent geological disasters on the selection of sites for transmission projects, transmission line planning, and design?…”

Section: Introductionmentioning

confidence: 99%

Factors Controlling the Formation of Collapse Disasters and Its Hazards to Power Transmission Projects in Erlang Mountain – Zheduo Mountain, China

Ming,

Fan,

Fan

et al. 2024

Pol. J. Environ. Stud.

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This paper takes the collapse along the transmission corridor of The Deep -Cut Gorge Area of Dadu River in Erlangshan -Zheduo Mountain as the research object. The paper researches the characteristics of the development of the collapse disaster and the factors of the disaster. It is based on the remote sensing interpretation and the geological disaster investigation in the area. The results show that a total of 42 collapses were developed in the study area. The main controlling factors for the collapses in the area are topography, slope direction, geological structure, rock formation, annual rainfall, etc. The collapses were mainly developed in the area of rigid or relatively rigid rocks, and the rainfall was measured between 834-965 mm. There were 22 collapses in this area. The influence of the current collapse development along the transmission corridor in the Deep -Cut Gorge area of the Erlang Mountain -Zheduo Mountain Dadu River on the power transmission project is mainly to threaten the stability of the tower and its foundation. The research results provide a theoretical basis for the evaluation and prevention of geological disaster along the power transmission corridor. In addition, the results provide technical guidance for selecting lines, as well as for designing and constructing power transmission projects.

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Landslide susceptibility assessment using weights-of-evidence model and cluster analysis along the highways in the Hubei section of the Three Gorges Reservoir Area

Cited by 38 publications

References 39 publications

Research on weighting method of geological hazard susceptibility evaluation index based on apriori Algorithm

Research on weighting method of geological hazard susceptibility evaluation index based on apriori Algorithm

Collapse Susceptibility Assessment in Taihe Town Based on Convolutional Neural Network and Information Value Method

Factors Controlling the Formation of Collapse Disasters and Its Hazards to Power Transmission Projects in Erlang Mountain – Zheduo Mountain, China

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