Optimizing the frequency ratio method for landslide susceptibility assessment: A case study of the Caiyuan Basin in the southeast mountainous area of China

doi:10.1007/s11629-019-5702-6

CORC > 成都山地灾害与环境研究所 > 中国科学院水利部成都山地灾害与环境研究所 > Journal of Mountain Science > Journal of Mountain Science-2020 > Vol17 No.2

	Optimizing the frequency ratio method for landslide susceptibility assessment: A case study of the Caiyuan Basin in the southeast mountainous area of China
	Zhang, Yi-xing; Lan, Heng-xing; Li, Lang-ping; Wu, Yu-ming; Chen, Jun-hui; Tian, Nai-man
刊名	JOURNAL OF MOUNTAIN SCIENCE
	2020
卷号	17 期号:2 页码:340-357
关键词	Automatic optimization Frequency ratio GIS Landslide susceptibility assessment
ISSN号	1672-6316
DOI	10.1007/s11629-019-5702-6
文献子类	Article
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 validation purposes. All datasets were resampled to the same 5 m x 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 further facilitate comparisons and choices between different methods for landslide susceptibility assessment.
电子版国际标准刊号	1993-0321
语种	英语
WOS记录号	WOS:000512107000007
内容类型	期刊论文
源URL	[http://ir.imde.ac.cn/handle/131551/46740]
专题	Journal of Mountain Science_Journal of Mountain Science-2020_Vol17 No.2
推荐引用方式 GB/T 7714	Zhang, Yi-xing,Lan, Heng-xing,Li, Lang-ping,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]. JOURNAL OF MOUNTAIN SCIENCE,2020,17(2):340-357.
APA	Zhang, Yi-xing,Lan, Heng-xing,Li, Lang-ping,Wu, Yu-ming,Chen, Jun-hui,&Tian, Nai-man.(2020).Optimizing the frequency ratio method for landslide susceptibility assessment: A case study of the Caiyuan Basin in the southeast mountainous area of China.JOURNAL OF MOUNTAIN SCIENCE,17(2),340-357.
MLA	Zhang, Yi-xing,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".JOURNAL OF MOUNTAIN SCIENCE 17.2(2020):340-357.