IMHE OpenIR  > 山地灾害与地表过程重点实验室
邱海军1,2,3; 胡胜1,2; 崔鹏3; 杨冬冬1,2; 许博健1,2; 朱兴华4; 何毅1,2
Corresponding Author崔鹏
Source Publication第四纪研究


Other Abstract

Loess landslides are widespread on the Chinese Loess Plateau. Steep topography and frequent extreme weather conditions lead to a higher landslide susceptibility in the study area. It is well known that landslide inventory is important to investigate the landslide distribution, to determine landslide hazard and risk assessment, and to study the evolution of landscapes. So a detailed inventory of 291 loess landslides was developed through existing data sets, remote sensing image interpretation and local field surveys in Baota District (36°23' ~ 37°03'N, 109°15' ~ 109°56'E),middle reaches of the Yanhe River, Shaanxi Province, China. The study area covers an area of approximately 2222.84km~2. The elevation ranges between 814m and 1522m above sea level, with an average of 1147m. Loess landslide distributions were mapped and transferred to a GIS platform for further analysis. The overwhelming majority of loess landslides in this study area are small and medium scale landslides. The volume of individual loess landslides varies largely. Loess landslide volume spans the range from less than 10~4m~3 to more than 10~6m~3. The large and very large loess landslides determine the total landslide volume in the study area. The 10 largest loess landslides account for 26.35% of the total landslide volume, and 20 largest landslides account for 38.91% of the total landslide volume. Natural landslides exist scaling properties revealed by power law relationships. The frequency-volume distribution is important information to determine landslide hazard. So we determine the probability density of loess landslide volumes using kernel density estimation. The results indicated that there exhibits heavy tailed behavior or rollover effect for their frequency-volume distribution. These noncumulative heavy-tailed distribution is negative power law when the landslide volume is more than 1.5* 10~5m~3, with exponent 1.29. The spatial pattern shows the quantitative characteristics and spatial properties of regional landslides. However, few have focused on quantitative relationship on spatial pattern. To solve these problems, we firstly divided the loess landslides into 3 classes according to landslide volume: large, medium,and small-scale loess landslide. Moreover, the point pattern analysis method, O-ring statistics, was employed firstly to analyze the spatial patterns of regional loess landslides on the Loess Plateau of China. Using Programita software, the spatial distribution patterns and spatial associations of different spatial scale landslides are analyzed. The results indicated that the distributions of all the loess landslides show a clumped distribution when the spatial scales is less than 18km, and the distribution shows a regular or random distribution when the spatial scale is more than 18km. The distributions of large-scale loess landslides in space were not sensitivity to spatial scale. The spatial pattern of large-scale loess landslides shows a random distribution. Medium and small-scale loess landslides were characterized by the cluster in small spatial scale and random in large spatial scale respectively. The distribution of all the loess landslides shows a random pattern at the large spatial scale. The spatial associations depend on the spatial scale. There are different spatial associations on the different loess landslide types.

Keyword滑坡 空间格局 黄土 O-ring
Subject AreaP642.22 ; P694 ; P941.74
Indexed ByCSCD ; 北大中文核心
Funding Organization中国科学院国际合作局对外合作重点项目(批准号:131551KYSB20160002) ; 国家自然科学基金项目(批准号:41401602)和陕西省自然科学基础研究计划资助项目(批准号:2014JQ2-4021)
Citation statistics
Cited Times:10[CSCD]   [CSCD Record]
Document Type期刊论文
First Author Affilication中国科学院水利部成都山地灾害与环境研究所
Recommended Citation
GB/T 7714
邱海军,胡胜,崔鹏,等. 黄土滑坡灾害空间格局及其空间尺度依赖性研究[J]. 第四纪研究,2017,37(2):307-318.
APA 邱海军.,胡胜.,崔鹏.,杨冬冬.,许博健.,...&何毅.(2017).黄土滑坡灾害空间格局及其空间尺度依赖性研究.第四纪研究,37(2),307-318.
MLA 邱海军,et al."黄土滑坡灾害空间格局及其空间尺度依赖性研究".第四纪研究 37.2(2017):307-318.
Files in This Item:
File Name/Size DocType Version Access License
黄土滑坡灾害空间格局及其空间尺度依赖性研(2602KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Application Full Text
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[邱海军]'s Articles
[胡胜]'s Articles
[崔鹏]'s Articles
Baidu academic
Similar articles in Baidu academic
[邱海军]'s Articles
[胡胜]'s Articles
[崔鹏]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[邱海军]'s Articles
[胡胜]'s Articles
[崔鹏]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 黄土滑坡灾害空间格局及其空间尺度依赖性研究.pdf
Format: Adobe PDF
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.