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Article: Logistic regression modelling of storm-induced shallow landsliding in time and space on natural terrain of Lantau Island, Hong Kong

TitleLogistic regression modelling of storm-induced shallow landsliding in time and space on natural terrain of Lantau Island, Hong Kong
Authors
KeywordsGeographic information system (GIS)
Landslides
Logistic regression
Probability
Rainfall
Issue Date2004
PublisherSpringer Verlag. The Journal's web site is located at http://link.springer.de/link/service/journals/10064/index.htm
Citation
Bulletin Of Engineering Geology And The Environment, 2004, v. 63 n. 4, p. 315-327 How to Cite?
AbstractThis study is aimed at developing a method for modelling the probability of landsliding using a geographical information system (GIS), rainstorm events and associated landslide distributions, with an attempt to assess where landslides are likely to occur when certain rainstorm events happen. This research focuses on the natural terrain of Lantau Island, Hong Kong. In order to derive a logistic regression model for statistical prediction of the probability of landsliding, topographic attributes derived from digital elevation model (DEM) data are combined with a variety of other digital datasets including 24 h rainfall, lithology and vegetation cover in a GIS. The model was then applied to given rainstorm events and rainfalls of a variety of periods of return time in order to predict the probability of landsliding on natural slopes in space and time. The modelling techniques described here can be used to develop effective mitigation strategies. © Springer-Verlag 2004.
Persistent Identifierhttp://hdl.handle.net/10722/70792
ISSN
2015 Impact Factor: 1.252
2015 SCImago Journal Rankings: 0.525
References

 

DC FieldValueLanguage
dc.contributor.authorDai, FCen_HK
dc.contributor.authorLee, CFen_HK
dc.contributor.authorTham, LGen_HK
dc.contributor.authorNg, KCen_HK
dc.contributor.authorShum, WLen_HK
dc.date.accessioned2010-09-06T06:26:10Z-
dc.date.available2010-09-06T06:26:10Z-
dc.date.issued2004en_HK
dc.identifier.citationBulletin Of Engineering Geology And The Environment, 2004, v. 63 n. 4, p. 315-327en_HK
dc.identifier.issn1435-9529en_HK
dc.identifier.urihttp://hdl.handle.net/10722/70792-
dc.description.abstractThis study is aimed at developing a method for modelling the probability of landsliding using a geographical information system (GIS), rainstorm events and associated landslide distributions, with an attempt to assess where landslides are likely to occur when certain rainstorm events happen. This research focuses on the natural terrain of Lantau Island, Hong Kong. In order to derive a logistic regression model for statistical prediction of the probability of landsliding, topographic attributes derived from digital elevation model (DEM) data are combined with a variety of other digital datasets including 24 h rainfall, lithology and vegetation cover in a GIS. The model was then applied to given rainstorm events and rainfalls of a variety of periods of return time in order to predict the probability of landsliding on natural slopes in space and time. The modelling techniques described here can be used to develop effective mitigation strategies. © Springer-Verlag 2004.en_HK
dc.languageengen_HK
dc.publisherSpringer Verlag. The Journal's web site is located at http://link.springer.de/link/service/journals/10064/index.htmen_HK
dc.relation.ispartofBulletin of Engineering Geology and the Environmenten_HK
dc.subjectGeographic information system (GIS)en_HK
dc.subjectLandslidesen_HK
dc.subjectLogistic regressionen_HK
dc.subjectProbabilityen_HK
dc.subjectRainfallen_HK
dc.titleLogistic regression modelling of storm-induced shallow landsliding in time and space on natural terrain of Lantau Island, Hong Kongen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1435-9529&volume=63&issue=4&spage=315&epage=327&date=2004&atitle=Logistic+regression+modelling+of+storm-induced+shallow+landsliding+in+time+and+space+on+natural+terrain+of+Lantau+Island,+Hong+Kongen_HK
dc.identifier.emailLee, CF: leecf@hkucc.hku.hken_HK
dc.identifier.emailTham, LG: hrectlg@hku.hken_HK
dc.identifier.authorityLee, CF=rp00139en_HK
dc.identifier.authorityTham, LG=rp00176en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/s10064-004-0245-6en_HK
dc.identifier.scopuseid_2-s2.0-23844436667en_HK
dc.identifier.hkuros102376en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-23844436667&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume63en_HK
dc.identifier.issue4en_HK
dc.identifier.spage315en_HK
dc.identifier.epage327en_HK
dc.publisher.placeGermanyen_HK
dc.identifier.scopusauthoridDai, FC=7102055666en_HK
dc.identifier.scopusauthoridLee, CF=8068602600en_HK
dc.identifier.scopusauthoridTham, LG=7006213628en_HK
dc.identifier.scopusauthoridNg, KC=8693410600en_HK
dc.identifier.scopusauthoridShum, WL=35803563000en_HK

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