中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Landslide inventory and susceptibility modelling using geospatial tools, in Hunza-Nagar valley, northern Pakistan

文献类型:期刊论文

作者Bacha, AS; Shafique, M; van der Werff, H
刊名JOURNAL OF MOUNTAIN SCIENCE
出版日期2018
卷号15期号:6页码:1354-1370
关键词Landslides Inventory map Susceptibility assessment Northern Pakistan
ISSN号1672-6316
DOI10.1007/s11629-017-4697-0
文献子类Article
英文摘要A comprehensive landslide inventory and susceptibility maps are prerequisite for developing and implementing landslide mitigation strategies. Landslide susceptibility maps for the landslides prone regions in northern Pakistan are rarely available. The Hunza-Nagar valley in northern Pakistan is known for its frequent and devastating landslides. In this paper, we have developed a landslide inventory map for Hunza-Nagar valley by using the visual interpretation of the SPOT-5 satellite imagery and mapped a total of 172 landslides. The landslide inventory was subsequently divided into modelling and validation data sets. For the development of landslide susceptibility map seven discrete landslide causative factors were correlated with the landslide inventory map using weight of evidence and frequency ratio statistical models. Four different models of conditional independence were used for the selection of landslide causative factors. The produced landslides susceptibility maps were validated by the success rate and area under curves criteria. The prediction power of the models was also validated with the prediction rate curve. The validation results shows that the success rate curves of the weight of evidence and the frequency models are 82% and 79%, respectively. The prediction accuracy results obtained from this study are 84% for weight of evidence model and 80% for the frequency ratio model. Finally, the landslide susceptibility index maps were classified into five different varying susceptibility zones. The validation and prediction result indicates that the weight of evidence and frequency ratio model are reliable to produce an accurate landslide susceptibility map, which may be helpful for landslides management strategies.
电子版国际标准刊号1993-0321
语种英语
WOS记录号WOS:000435362700015
源URL[http://ir.imde.ac.cn/handle/131551/35517]  
专题Journal of Mountain Science_Journal of Mountain Science-2018_Vol15 No.6
推荐引用方式
GB/T 7714
Bacha, AS,Shafique, M,van der Werff, H. Landslide inventory and susceptibility modelling using geospatial tools, in Hunza-Nagar valley, northern Pakistan[J]. JOURNAL OF MOUNTAIN SCIENCE,2018,15(6):1354-1370.
APA Bacha, AS,Shafique, M,&van der Werff, H.(2018).Landslide inventory and susceptibility modelling using geospatial tools, in Hunza-Nagar valley, northern Pakistan.JOURNAL OF MOUNTAIN SCIENCE,15(6),1354-1370.
MLA Bacha, AS,et al."Landslide inventory and susceptibility modelling using geospatial tools, in Hunza-Nagar valley, northern Pakistan".JOURNAL OF MOUNTAIN SCIENCE 15.6(2018):1354-1370.

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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