A Research on Susceptibility Mapping of Multiple Geological Hazards in Yanzi River Basin, China

Ruiyuan Gao,Bailong Li,Songling Han,Changming Wang,Zhu Liang

doi:10.3390/ijgi10040218

Abstract

Collapses, landslides, and debris flows are the main geological hazards faced by mankind, which bring heavy losses of life and property to people every year. The purpose of this paper is to establish a method for determining the optimal weighting scheme for multiple geological hazard susceptibility mapping. The information gain ratio (IGR) method was used to analyze the predictive ability of the conditioning factors. The support vector machine (SVM) algorithm was used to evaluate the susceptibility to collapse, landslide, and debris flow of the study area. The receiver operating characteristic curves (ROC) and classification statistics of geological hazard samples were applied to evaluate the performance of the models. The analytic hierarchy process (AHP) and frequency ratio (FR) method were combined to determine the optimal weighting scheme for collapse, landslide, and debris flow. All the conditioning factors have shown a certain predictive ability, making the models of collapse, landslide, and debris flow achieve very good performance. The multiple geological hazard susceptibility maps with the weights of 0.297, 0.539, and 0.164 for collapse, landslide, and debris flow was optimal for this study area with high-precision classification of all the geological hazard samples. The conclusions of this paper could provide meaningful references for risk migration and land use in the study area.

Highlights

With the increase of human demand for surface space development, human beings are facing increasingly complex engineering geological conditions
In the past few decades, many methods for a susceptibility assessment of geological hazards have produced geohazard susceptibility mapping that aims at highlighting the spatial distribution of debris flows based on the following assumptions: (1) The past is the key to the future, implying that future events will likely happen in similar conditions to those that happened in the past
The conditioning factors of lithology and distance to roads made the greatest contribution to the prediction of both collapse and landslide while the most important conditioning factors for debris flow are altitude and distance to roads

Summary

Introduction

With the increase of human demand for surface space development, human beings are facing increasingly complex engineering geological conditions. Geological hazards, as the main threat to human engineering activities, are one of the major factors that must be considered before carrying out a project. The susceptibility assessment method based on the geographic information system was widely applied recently, which was an effective tool to reduce the impact of geological hazards [1]. In the past few decades, many methods for a susceptibility assessment of geological hazards have produced geohazard susceptibility mapping that aims at highlighting the spatial distribution of debris flows based on the following assumptions: (1) The past is the key to the future, implying that future events will likely happen in similar conditions to those that happened in the past. A variety of technologies and methods have been developed and applied

Objectives

Methods

Results

Discussion

Conclusion