Suitability analysis for topographic factors in loess landslide research: a case study of Gangu County, China
Niu, Quanfu1,2,3; Dang, Xinghai1; Li, Yuefeng1; Zhang, Yingxue1; Lu, Xiaolin1; Gao, Wenxing1
2018-04-01
发表期刊Environmental Earth Sciences
ISSN18666280
卷号77期号:7
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.
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
DOI10.1007/s12665-018-7462-y
收录类别EI ; SCIE
语种英语
WOS研究方向Environmental Sciences & Ecology ; Geology ; Water Resources
WOS类目Environmental Sciences ; Geosciences, Multidisciplinary ; Water Resources
WOS记录号WOS:000429985900023
出版者Springer Verlag
EI入藏号20181605014995
EI主题词Factor analysis
EI分类号483 Soil Mechanics and Foundations ; 912.2 Management ; 922.2 Mathematical Statistics ; 931.2 Physical Properties of Gases, Liquids and Solids ; 951 Materials Science
引用统计
被引频次:11[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符https://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
通讯作者Niu, Quanfu
作者单位1.Lanzhou Univ Technol, Sch Civil Engn, Lanzhou 730050, Gansu, Peoples R China;
2.Univ Oklahoma, Dept Microbiol & Plant Biol, Norman, OK 73019 USA;
3.Univ Oklahoma, Ctr Spatial Anal, Norman, OK 73019 USA
第一作者单位兰州理工大学
通讯作者单位兰州理工大学
第一作者的第一单位兰州理工大学
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).
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