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

	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 1,2; Lan, Heng-xing 1,3; Li, Lang-ping 1; Wu, Yu-ming 1; Chen, Jun-hui 1,2; Tian, Nai-man 1,2
刊名	JOURNAL OF MOUNTAIN SCIENCE
	2020-02-01
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
通讯作者	Lan, Heng-xing(lanhx@lreis.ac.cn)
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.
资助项目	National Natural Science Foundation of China[41525010] ; National Natural Science Foundation of China[41807291] ; National Natural Science Foundation of China[41421001] ; National Natural Science Foundation of China[41790443] ; National Natural Science Foundation of China[41701458] ; Strategic Priority Research Program of Chinese Academy of Sciences (CAS)[XDA23090301] ; Strategic Priority Research Program of Chinese Academy of Sciences (CAS)[XDA19040304] ; Key Research Program of Frontier Sciences of Chinese Academy of Sciences (CAS)[QYZDY-SSW-DQC019] ; Second Tibetan Plateau Scientific Expedition and Research (STEP) program[2019QZKK0904]
WOS关键词	ARTIFICIAL NEURAL-NETWORK ; LOGISTIC-REGRESSION ; SPATIAL PREDICTION ; FAULT ZONE ; GIS ; HAZARD ; BIVARIATE ; MODELS ; FOREST ; MULTIVARIATE
WOS研究方向	Environmental Sciences & Ecology
语种	英语
出版者	SCIENCE PRESS
WOS记录号	WOS:000512107000007
资助机构	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
内容类型	期刊论文
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
通讯作者	Lan, Heng-xing
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.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Changan Univ, Sch Geol Engn & Geomat, Xian 710064, Peoples R China
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.