File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Terrain-based mapping of landslide susceptibility using a geographical information system: A case study

TitleTerrain-based mapping of landslide susceptibility using a geographical information system: A case study
Authors
KeywordsGeographical information systems
Landslides
Logistic regression
Multiple correspondence analysis
Terrain analysis
Issue Date2001
PublisherNRC Research Press. The Journal's web site is located at http://pubs.nrc-cnrc.gc.ca/cgi-bin/rp/rp2_desc_e?cgj
Citation
Canadian Geotechnical Journal, 2001, v. 38 n. 5, p. 911-923 How to Cite?
AbstractThis paper deals with the development of a technique for mapping landslide susceptibility using a geographical information system (GIS), with particular reference to landslides on natural terrain. The method has been applied to Lantau Island, the largest outlying island within the territory of Hong Kong. Landslide susceptibility in the study area is related to a number of terrain variables, viz., lithology, slope gradient, slope aspect, elevation, land cover, and distance to drainage line. Multiple correspondence analysis (MCA) was carried out to generate the principal axes that are linear combinations of these terrain variables using occurrence data of landslides and terrain variables. A GIS is used to project the values of the principal axes, and subsequently to relate these principal axes to landslide susceptibility by logistic regression modeling. The spatial landslide susceptibility response in the study area can then be obtained by applying this logistic regression model to the study area. The results from this study indicate that such a GIS-based model is useful and suitable for the scale adopted in this study.
Persistent Identifierhttp://hdl.handle.net/10722/42066
ISSN
2023 Impact Factor: 3.0
2023 SCImago Journal Rankings: 1.513
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorDai, FCen_HK
dc.contributor.authorLee, CFen_HK
dc.date.accessioned2007-01-08T02:28:07Z-
dc.date.available2007-01-08T02:28:07Z-
dc.date.issued2001en_HK
dc.identifier.citationCanadian Geotechnical Journal, 2001, v. 38 n. 5, p. 911-923en_HK
dc.identifier.issn0008-3674en_HK
dc.identifier.urihttp://hdl.handle.net/10722/42066-
dc.description.abstractThis paper deals with the development of a technique for mapping landslide susceptibility using a geographical information system (GIS), with particular reference to landslides on natural terrain. The method has been applied to Lantau Island, the largest outlying island within the territory of Hong Kong. Landslide susceptibility in the study area is related to a number of terrain variables, viz., lithology, slope gradient, slope aspect, elevation, land cover, and distance to drainage line. Multiple correspondence analysis (MCA) was carried out to generate the principal axes that are linear combinations of these terrain variables using occurrence data of landslides and terrain variables. A GIS is used to project the values of the principal axes, and subsequently to relate these principal axes to landslide susceptibility by logistic regression modeling. The spatial landslide susceptibility response in the study area can then be obtained by applying this logistic regression model to the study area. The results from this study indicate that such a GIS-based model is useful and suitable for the scale adopted in this study.en_HK
dc.format.extent2608955 bytes-
dc.format.extent4105 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherNRC Research Press. The Journal's web site is located at http://pubs.nrc-cnrc.gc.ca/cgi-bin/rp/rp2_desc_e?cgjen_HK
dc.relation.ispartofCanadian Geotechnical Journalen_HK
dc.rightsCanadian Geotechnical Journal. Copyright © N R C Research Press.en_HK
dc.subjectGeographical information systemsen_HK
dc.subjectLandslidesen_HK
dc.subjectLogistic regressionen_HK
dc.subjectMultiple correspondence analysisen_HK
dc.subjectTerrain analysisen_HK
dc.titleTerrain-based mapping of landslide susceptibility using a geographical information system: A case studyen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0008-3674&volume=38&issue=5&spage=911&epage=923&date=2001&atitle=Terrain-based+mapping+of+landslide+susceptibility+using+a+geographical+information+system:+A+case+studyen_HK
dc.identifier.emailLee, CF: leecf@hkucc.hku.hken_HK
dc.identifier.authorityLee, CF=rp00139en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1139/cgj-38-5-911en_HK
dc.identifier.scopuseid_2-s2.0-0034739931en_HK
dc.identifier.hkuros71100-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0034739931&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume38en_HK
dc.identifier.issue5en_HK
dc.identifier.spage911en_HK
dc.identifier.epage923en_HK
dc.identifier.isiWOS:000171695100001-
dc.publisher.placeCanadaen_HK
dc.identifier.scopusauthoridDai, FC=7102055666en_HK
dc.identifier.scopusauthoridLee, CF=8068602600en_HK
dc.identifier.issnl0008-3674-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats