Suitability analysis for topographic factors in loess landslide research: a case study of Gangu County, China

doi:10.1007/s12665-018-7462-y

CORC > 兰州理工大学 > 兰州理工大学 > 土木工程学院

	Suitability analysis for topographic factors in loess landslide research: a case study of Gangu County, China
	Niu, Quanfu 1,2; Dang, Xinghai 1; Li, Yuefeng 1; Zhang, Yingxue 1; Lu, Xiaolin 1; Gao, Wenxing 1
刊名	Environmental Earth Sciences
	2018-04-01
卷号	77 期号:7
关键词	Decision making Landslides Models Sediments Surface roughness Topography Correlation coefficient Ecologically fragile regions Landslide distributions Loess Suitability analysis Topographic factor Variation coefficient Vulnerability mappings
ISSN号	18666280
DOI	10.1007/s12665-018-7462-y
英文摘要	Loess Plateau is one of the ecologically fragile regions in China. It is one of the slippery strata of which landslides often developed. The formation and development of landslides are mainly affected by various natural environments, triggering factors, the vulnerability of landslide-bearing bodies, and topography has a controlling effect on landslides and determines landslide distribution. As important environmental elements, the selection and reclassification of topographic factors are the basis for loess landslide vulnerability map. In this study, our research suggests an effective workflow to select and analyze the topographic factors in the loess landslides. Nine hazard-formative environmental factors [e.g., slope, aspect, slope shape (SS), slope of slope (SOS), slope of aspect (SOA), surface amplitude (SA), surface roughness (SR), incision depth (ID) and elevation variation coefficient (EVC)] are prepared for landslide suitability analysis. The models of certainty factor, sensitivity index and correlation coefficient are combined to select and analyze the suitability of these factors. Four topographic factors (i.e., slope, SOS, SS and SR) were ultimately selected to carry out the landslide vulnerability mapping with other factors. Our results showed that most of the landslides were located in medium and high classes and accounting for 75.3%, and these places also coincided with higher economies and intense human activities. Our research also suggested that in situ measurements are necessary to determine how to reclassify these topographic factors and how many grades these topographic factors divided, which would further improve the reliability of landslide vulnerability map for the decision makers to deal with the possible future landslides in terms of safety and human activities. © 2018, Springer-Verlag GmbH Germany, part of Springer Nature.
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Water Resources
语种	英语
出版者	Springer Verlag
WOS记录号	WOS:000429985900023
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/150548]
专题	土木工程学院企业单位划归国资委人员
作者单位	1.School of Civil Engineering, Lanzhou University of Technology, Lanzhou; 730050, China; 2.Department of Microbiology and Plant Biology and Center for Spatial Analysis, University of Oklahoma, Norman; OK; 73019, United States
推荐引用方式 GB/T 7714	Niu, Quanfu,Dang, Xinghai,Li, Yuefeng,et al. Suitability analysis for topographic factors in loess landslide research: a case study of Gangu County, China[J]. Environmental Earth Sciences,2018,77(7).
APA	Niu, Quanfu,Dang, Xinghai,Li, Yuefeng,Zhang, Yingxue,Lu, Xiaolin,&Gao, Wenxing.(2018).Suitability analysis for topographic factors in loess landslide research: a case study of Gangu County, China.Environmental Earth Sciences,77(7).
MLA	Niu, Quanfu,et al."Suitability analysis for topographic factors in loess landslide research: a case study of Gangu County, China".Environmental Earth Sciences 77.7(2018).