File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Landslides on natural terrain: Physical characteristics and susceptibility mapping in Hong Kong

TitleLandslides on natural terrain: Physical characteristics and susceptibility mapping in Hong Kong
Authors
KeywordsHazard mitigation
Hong Kong
Landslides
Logistic multiple regression model
Prediction
Issue Date2002
PublisherAllen Press Inc. The Journal's web site is located at http://www.mrd-journal.org
Citation
Mountain Research And Development, 2002, v. 22 n. 1, p. 40-47 How to Cite?
AbstractSteep terrain and high frequency of tropical rainstorms make landslide occurrence on natural terrain a common phenomenon in Hong Kong. The present article reports on the use of a geographical information system (GIS) database, compiled primarily from existing digital maps and aerial photographs, to describe the physical characteristics of landslides and the statistical correlations between landslide frequency and terrain variables on Lantau Island in Hong Kong. This database is then used to obtain a logistic multiple regression model to predict landslide susceptibility. Slope gradient, lithology, elevation, slope aspect, and land use cover are indicated as statistically significant in predicting landslide susceptibility, whereas slope morphology and proximity to drainage line are not important and are thus excluded from the model. This model is then imported back into the GIS to produce a map of predicted landslide susceptibility. This study demonstrates that landslide susceptibility can be effectively modeled by using GIS technology and logistic multiple regression analysis.
Persistent Identifierhttp://hdl.handle.net/10722/71865
ISSN
2023 Impact Factor: 1.7
2023 SCImago Journal Rankings: 0.420
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorDai, Fen_HK
dc.contributor.authorLee, CFen_HK
dc.date.accessioned2010-09-06T06:35:52Z-
dc.date.available2010-09-06T06:35:52Z-
dc.date.issued2002en_HK
dc.identifier.citationMountain Research And Development, 2002, v. 22 n. 1, p. 40-47en_HK
dc.identifier.issn0276-4741en_HK
dc.identifier.urihttp://hdl.handle.net/10722/71865-
dc.description.abstractSteep terrain and high frequency of tropical rainstorms make landslide occurrence on natural terrain a common phenomenon in Hong Kong. The present article reports on the use of a geographical information system (GIS) database, compiled primarily from existing digital maps and aerial photographs, to describe the physical characteristics of landslides and the statistical correlations between landslide frequency and terrain variables on Lantau Island in Hong Kong. This database is then used to obtain a logistic multiple regression model to predict landslide susceptibility. Slope gradient, lithology, elevation, slope aspect, and land use cover are indicated as statistically significant in predicting landslide susceptibility, whereas slope morphology and proximity to drainage line are not important and are thus excluded from the model. This model is then imported back into the GIS to produce a map of predicted landslide susceptibility. This study demonstrates that landslide susceptibility can be effectively modeled by using GIS technology and logistic multiple regression analysis.en_HK
dc.languageengen_HK
dc.publisherAllen Press Inc. The Journal's web site is located at http://www.mrd-journal.orgen_HK
dc.relation.ispartofMountain Research and Developmenten_HK
dc.subjectHazard mitigationen_HK
dc.subjectHong Kongen_HK
dc.subjectLandslidesen_HK
dc.subjectLogistic multiple regression modelen_HK
dc.subjectPredictionen_HK
dc.titleLandslides on natural terrain: Physical characteristics and susceptibility mapping in Hong Kongen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0276-4741&volume=22&issue=1&spage=40&epage=47&date=2002&atitle=Landslides+on+natural+terrain:+Physical+characteristics+and+susceptibility+mapping+in+Hong+Kongen_HK
dc.identifier.emailLee, CF: leecf@hkucc.hku.hken_HK
dc.identifier.authorityLee, CF=rp00139en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-0036245431en_HK
dc.identifier.hkuros71090en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0036245431&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume22en_HK
dc.identifier.issue1en_HK
dc.identifier.spage40en_HK
dc.identifier.epage47en_HK
dc.identifier.isiWOS:000175182500010-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridDai, F=7102055666en_HK
dc.identifier.scopusauthoridLee, CF=8068602600en_HK
dc.identifier.issnl0276-4741-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats