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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, Yi-xing1,2; Lan, Heng-xing1,3; Li, Lang-ping1; Wu, Yu-ming1; Chen, Jun-hui1,2; Tian, Nai-man1,2
刊名JOURNAL OF MOUNTAIN SCIENCE
出版日期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
DOI10.1007/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.
WOS关键词ARTIFICIAL NEURAL-NETWORK ; LOGISTIC-REGRESSION ; SPATIAL PREDICTION ; FAULT ZONE ; GIS ; HAZARD ; BIVARIATE ; MODELS ; FOREST ; MULTIVARIATE
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研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000512107000007
出版者SCIENCE PRESS
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
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.

入库方式： OAI收割

来源：地理科学与资源研究所

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