中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Landslide integrated characteristics and susceptibility assessment in Rongxian county of Guangxi, China

文献类型:期刊论文

作者Liao Li-ping; Zhu Ying-yan; Zhao Yan-lin; Wen Hai-tao; Yang Yun-chuan; Chen Li-hua; Ma Shao-kun; Xu Ying-zi
刊名JOURNAL OF MOUNTAIN SCIENCE
出版日期2019
卷号16期号:3页码:657-676
关键词Landslide characteristic Susceptibility zonation Prevention regionalization Rongxian county
ISSN号1672-6316
DOI10.1007/s11629-017-4804-2
文献子类Article
英文摘要Landslides distribute extensively in Rongxian county, the southeast of Guangxi province, China and pose great threats to this county. At present, hazard management strategy is facing an unprecedented challenge due to lack of a landslide susceptibility map. Therefore, the purpose of this paper was to construct a landslide susceptibility map by adopting three widely used models based on an integrated understanding of landslide's characteristics. These models include a semi-quantitative method (SQM), information value model (IVM) and logistical regression model (LRM).The primary results show that (1) the county is classified into four susceptive regions, named as very low, low, moderate and high, which covered an area of 13.43%, 32.40%, 31.19% and 22.99% in SQM, 0.86%, 26.82%, 44.11%, and 28.21% in IVM, 9.88%, 17.73%, 46.36% and 26.03% in LRM; (2) landslides are likely to occur within the areas characterized by following obvious aspects: high intensity of human activities, slope angles of 25 degrees similar to 35 degrees, the thickness of weathered soil is larger than 15 m; the lithology is granite, shale and mud rock; (3) the area under the curve of SQM, IVM and LRM is 0.7151, 0.7688 and 0.7362 respectively, and the corresponding success rate is 71.51%, 76.88% and 73.62%. It is concluded that these three models are acceptable because they have an effective capability of susceptibility assessment and can achieve an expected accuracy. In addition, the susceptibility outcome obtained from IVM provides a slightly higher quality than that from SQM, LRM.
电子版国际标准刊号1993-0321
语种英语
WOS记录号WOS:000460754100013
源URL[http://ir.imde.ac.cn/handle/131551/46458]  
专题Journal of Mountain Science_Journal of Mountain Science-2019_Vol16 No.3
推荐引用方式
GB/T 7714
Liao Li-ping,Zhu Ying-yan,Zhao Yan-lin,et al. Landslide integrated characteristics and susceptibility assessment in Rongxian county of Guangxi, China[J]. JOURNAL OF MOUNTAIN SCIENCE,2019,16(3):657-676.
APA Liao Li-ping.,Zhu Ying-yan.,Zhao Yan-lin.,Wen Hai-tao.,Yang Yun-chuan.,...&Xu Ying-zi.(2019).Landslide integrated characteristics and susceptibility assessment in Rongxian county of Guangxi, China.JOURNAL OF MOUNTAIN SCIENCE,16(3),657-676.
MLA Liao Li-ping,et al."Landslide integrated characteristics and susceptibility assessment in Rongxian county of Guangxi, China".JOURNAL OF MOUNTAIN SCIENCE 16.3(2019):657-676.

入库方式: OAI收割

来源:成都山地灾害与环境研究所

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