Modeling landslide failure surfaces by polynomial surface fitting

doi:10.1016/j.geomorph.2020.107358

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

	Modeling landslide failure surfaces by polynomial surface fitting
	Tang Chenxiao 1,2; Tang Jing 3; van Westen Cees J.2; Han Jiannan 2; Mavrouli Olga 2; Tang Chuan 4
刊名	GEOMORPHOLOGY
	2020
卷号	368 页码:107358
关键词	Landslide Landslide volume estimation Failure surface Slipfitter
ISSN号	0169-555X
DOI	10.1016/j.geomorph.2020.107358
产权排序	1
文献子类	Article
英文摘要	Estimating landslide volume based on pre- and post-event elevation models without detailed field investigations is still a major challenge due to hidden failure surfaces. A MATLAB model named SLIPMTER was developed to model failure surfaces using polynomial surface to lit the geometry of exposed scarps extracted from Digital Elevation Models (DEMs). To test our model, a series of analog experiments were designed to acquire data for model testing in a controlled environment. The test indicates the only option to simulate failure surfaces with only remotely sensed data, is to assume that the failure surface was outcropping at the toe of slopes. It is not possible to model landslides that do not reach the bottom of slopes without survey data. Using the assumption, the model was tested on real landslides, showing its capability of modeling for multiple landslides over an area in a single simulation, and the possibility to predict potential failure surfaces from a reported crack. The major limitations of the model include the high requirement for the input DEM quality, the incapability to consider underlying bedrock structures, and the difficulty of simulating landslides with complex movements. (C) 2020 Elsevier B.V. All rights reserved.
电子版国际标准刊号	1872-695X
语种	英语
WOS记录号	WOS:000571733700006
内容类型	期刊论文
源URL	[http://ir.imde.ac.cn/handle/131551/46278]
专题	中国科学院水利部成都山地灾害与环境研究所
通讯作者	Tang Chenxiao; Tang Jing
作者单位	1.Institute of Mountain Hazard and Environment, Chinese Academy of Sciences, China; 2.Faculty of Geo-Information Sciences and Earth Observation (ITC), University of Twente, the Netherlands; 3.School of Geoscience and Technology, Southwest Petroleum University, China; 4.State Key Laboratory of Geo-hazard Prevention and Geo-environment Protection (SKLGP), Chengdu University of Technology, China
推荐引用方式 GB/T 7714	Tang Chenxiao,Tang Jing,van Westen Cees J.,et al. Modeling landslide failure surfaces by polynomial surface fitting[J]. GEOMORPHOLOGY,2020,368:107358.
APA	Tang Chenxiao,Tang Jing,van Westen Cees J.,Han Jiannan,Mavrouli Olga,&Tang Chuan.(2020).Modeling landslide failure surfaces by polynomial surface fitting.GEOMORPHOLOGY,368,107358.
MLA	Tang Chenxiao,et al."Modeling landslide failure surfaces by polynomial surface fitting".GEOMORPHOLOGY 368(2020):107358.