Study on Landslide Susceptibility Based on Multi-Model Coupling: A Case Study of Sichuan Province, China
文献类型：期刊论文
| 作者 | Zhang, Jinming; Qian, Jianxi; Lu, Yuefeng2,3; Li, Xueyuan; Song, Zhenqi |
| 刊名 | SUSTAINABILITY
 |
| 出版日期 | 2024-08-01 |
| 卷号 | 16期号:16页码:6803 |
| 关键词 | landslide machine learning model coupling susceptibility studies ROC curve |
| DOI | 10.3390/su16166803 |
| 产权排序 | 3 |
| 文献子类 | Article |
| 英文摘要 | Landslides are among the most prevalent geological hazards and are characterized by their high frequency, significant destructive potential, and considerable incident rate. Annually, these events lead to substantial casualties and property losses. Thus, conducting landslide susceptibility assessments in the regions vulnerable to such hazards has become crucial. In recent years, the coupling of traditional statistical methods with machine learning techniques has shown significant advantages in assessing landslide risk. This study focused on Sichuan Province, China, a region characterized by its vast area and diverse climatic and geological conditions. We selected 13 influencing factors for the analysis: elevation, slope, aspect, plan curve, profile curve, valley depth, precipitation, the stream power index (SPI), the topographic wetness index (TWI), the topographic position index (TPI), surface roughness, fractional vegetation cover (FVC), and slope height. This study incorporated the certainty factor method (CF), the information value method (IV), and their coupling with the decision tree C5.0 model (DT) and a logistic regression model (LR) as follows: IV-LR, IV-DT, CF-LR, and CF-DT. The results, validated by an ROC curve analysis, demonstrate that the evaluation accuracy of all six models exceeded 0.750 (AUC > 0.750). The IV-LR model exhibited the highest accuracy, with an AUC of 0.848. When comparing the accuracy among the models, it is evident that the coupling models outperformed the individual statistical models. Based on the results of the six models, a landslide susceptibility map was generated, categorized into five levels. High and very high landslide risk zones are mainly concentrated in the eastern and southeastern regions, covering nearly half of Sichuan Province. Medium-risk areas form linear distributions from northeast to southwest, occupying a smaller proportion of the area. Extremely low- and low-risk zones are predominantly located in the western and northwestern regions. The density of the landslide points increases with higher risk levels across the regions. This further validates the suitability of this research methodology for landslide susceptibility studies on a large scale. Consequently, this methodology can provide crucial insights for landslide prevention and mitigation efforts in this region. |
| WOS关键词 | COUNTY |
| WOS研究方向 | Science & Technology - Other Topics ; Environmental Sciences & Ecology |
| WOS记录号 | WOS:001308614700001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/208019]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 通讯作者 | Lu, Yuefeng |
| 作者单位 | 1.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Natl Ctr Technol Innovat Comprehens Utilizat Salin, Dongying 257300, Peoples R China 3.Shandong Univ Technol, Sch Civil Engn & Geomat, Zibo 255049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Jinming,Qian, Jianxi,Lu, Yuefeng,et al. Study on Landslide Susceptibility Based on Multi-Model Coupling: A Case Study of Sichuan Province, China[J]. SUSTAINABILITY,2024,16(16):6803. |
| APA | Zhang, Jinming,Qian, Jianxi,Lu, Yuefeng,Li, Xueyuan,&Song, Zhenqi.(2024).Study on Landslide Susceptibility Based on Multi-Model Coupling: A Case Study of Sichuan Province, China.SUSTAINABILITY,16(16),6803. |
| MLA | Zhang, Jinming,et al."Study on Landslide Susceptibility Based on Multi-Model Coupling: A Case Study of Sichuan Province, China".SUSTAINABILITY 16.16(2024):6803. |
入库方式： OAI收割
来源：地理科学与资源研究所
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