Optimizing the frequency ratio method for landslide susceptibility assessment: A case study of the Caiyuan Basin in the southeast mountainous area of China
文献类型：期刊论文
| 作者 | ZHANG Yixing2; LAN Hengxing2; LI Langping2; WU Yuming2; CHEN Junhui2; TIAN Naiman2 |
| 刊名 | 山地科学学报:英文版
 |
| 出版日期 | 2020 |
| 卷号 | 17.0期号:002页码:340 |
| 关键词 | Automatic optimization Frequency ratio GIS Landslide susceptibility assessment |
| ISSN号 | 1672-6316 |
| 英文摘要 | Bivariate statistical analysis of data-driven approaches is widely used for landslide susceptibility assessment, and the frequency ratio(FR) method is one of the most popular. However, the results of such assessments are dominated by the number of classes and bounds of landslide-related causative factors, and the optimal assessment is unknown. This paper optimizes the frequency ratio method as an example of bivariate statistical analysis for landslide susceptibility mapping based on a case study of the Caiyuan Basin, a region with frequent landslides, which is located in the southeast coastal mountainous area of China. A landslide inventory map containing a total of 1425 landslides(polygons) was produced, in which 70% of the landslides were selected for training purposes, and the remaining were used for validationpurposes. All datasets were resampled to the same 5 m × 5 m/pixel resolution. The receiver operating characteristic(ROC) curves of the susceptibility maps were obtained based on different combinations of dominating parameters, and the maximum value of the areas under the ROC curves(AUCs) as well as the corresponding optimal parameter was identified with an automatic searching algorithm. The results showed that the landslide susceptibility maps obtained using optimal parameters displayed a significant increase in the prediction AUC compared with those values obtained using stochastic parameters. The results also showed that one parameter named bin width has a dominant influence on the optimum. In practice, this paper is expected to benefit the assessment of landslide susceptibility by providing an easy-to-use tool. The proposed automatic approach provides a way to optimize the frequency ratio method or other bivariate statistical methods, which can furtherfacilitate comparisons and choices between different methods for landslide susceptibility assessment. |
| 资助项目 | [National Natural Science Foundation of China] ; [Strategic Priority Research Program of Chinese Academy of Sciences (CAS)] ; [Key Research Program of Frontier Sciences of Chinese Academy of Sciences (CAS)] ; [Second Tibetan Plateau Scientific Expedition and Research (STEP) program] |
| 语种 | 英语 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/132247]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 作者单位 | 1.School of Geological Engineering and Geomatics,Chang'an University 2.State Key Laboratory of Resources and Environmental Information System,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences 3.中国科学院大学 |
| 推荐引用方式 GB/T 7714 | ZHANG Yixing,LAN Hengxing,LI Langping,et al. Optimizing the frequency ratio method for landslide susceptibility assessment: A case study of the Caiyuan Basin in the southeast mountainous area of China[J]. 山地科学学报:英文版,2020,17.0(002):340. |
| APA | ZHANG Yixing,LAN Hengxing,LI Langping,WU Yuming,CHEN Junhui,&TIAN Naiman.(2020).Optimizing the frequency ratio method for landslide susceptibility assessment: A case study of the Caiyuan Basin in the southeast mountainous area of China.山地科学学报:英文版,17.0(002),340. |
| MLA | ZHANG Yixing,et al."Optimizing the frequency ratio method for landslide susceptibility assessment: A case study of the Caiyuan Basin in the southeast mountainous area of China".山地科学学报:英文版 17.0.002(2020):340. |
入库方式： OAI收割
来源：地理科学与资源研究所
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