Landslide Susceptibility Mapping Using the Slope Unit for Southeastern Helong City, Jilin Province, China: A Comparison of ANN and SVM

Chenglong Yu,Jianping Chen

doi:10.3390/sym12061047

Abstract

The purpose of this study is to produce a landslide susceptibility map of Southeastern Helong City, Jilin Province, Northeastern China. According to the geological hazard survey (1:50,000) project of Helong city, a total of 83 landslides were mapped in the study area. The slope unit, which is classified based on the curvature watershed method, is selected as the mapping unit. Based on field investigations and previous studies, three groups of influencing Factors—Lithological factors, topographic factors, and geological environment factors (including ten influencing factors)—are selected as the influencing factors. Artificial neural networks (ANN’s) and support vector machines (SVM’s) are introduced to build the landslide susceptibility model. Five-fold cross-validation, the receiver operating characteristic curve, and statistical parameters are used to optimize model. The results show that the SVM model is the optimal model. The landslide susceptibility maps produced using the SVM model are classified into five grades—very high, high, moderate, low, and very low—and the areas of the five grades were 127.43, 151.60, 198.77, 491.19, and 506.91 km2, respectively. The very high and high susceptibility areas included 79.52% of the total landslides, demonstrating that the landslide susceptibility map produced in this paper is reasonable. Consequently, this study can serve as a guide for landslide prevention and for future land planning in the southeast of Helong city.

Highlights

Landslides are one of the most common geological disasters in the mountainous areas ofChina [1,2,3]
This study can serve as a guide for landslide prevention and for future land planning in the southeast of Helong city
A Digital Elevation Model (DEM) with a resolution of 10 × 10 m was adopted to the divided slope units of the study area

Summary

Introduction

Landslides are one of the most common geological disasters in the mountainous areas ofChina [1,2,3]. Landslides are one of the most common geological disasters in the mountainous areas of. The Chinese economy has developed steadily and rapidly, and has become the second largest economy in the world. With such rapid development of the economy, many previously inaccessible areas have carried out corresponding infrastructure construction and various engineering activities in succession. Landslide susceptibility mapping is the basis of landslide hazard and risk assessment [4]. The purpose of landslide susceptibility mapping is to answer the question “what is the geological background of landslides and where are the areas which are most prone to them?” [2]. Based on the review of relevant papers, it was found that landslide susceptibility mapping mainly includes the following [5,6]: (a) landslide inventory data acquisition; (b) mapping unit selection;

Objectives

Methods

Results

Discussion

Conclusion