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Article: Landslide characteristics and slope instability modeling using GIS, Lantau Island, Hong Kong

TitleLandslide characteristics and slope instability modeling using GIS, Lantau Island, Hong Kong
Authors
KeywordsGeographical Information Systems (GIS)
Landslides
Logistic multiple regression
Runout
Issue Date2002
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/geomorph
Citation
Geomorphology, 2002, v. 42 n. 3-4, p. 213-228 How to Cite?
AbstractSteep terrain and high a frequency of tropical rainstorms make landslide occurrence on natural terrain a common phenomenon in Hong Kong. This paper reports on the use of a Geographical Information Systems (GIS) database, compiled primarily from existing digital maps and aerial photographs, to describe the physical characteristics of landslides and the statistical relations of landslide frequency with the physical parameters contributing to the initiation of landslides on Lantau Island in Hong Kong. The horizontal travel length and the angle of reach, defined as the angle of the line connecting the head of the landslide source to the distal margin of the displaced mass, are used to describe runout behavior of landslide mass. For all landslides studied, the horizontal travel length of landslide mass ranges from 5 to 785 m, with a mean value of 43 m, and the average angle of reach is 27.7°. This GIS database is then used to obtain a logistic multiple regression model for predicting slope instability. It is indicated that slope gradient, lithology, elevation, slope aspect, and land-use are statistically significant in predicting slope instability, while slope morphology and proximity to drainage lines are not important and thus excluded from the model. This model is then imported back into the GIS to produce a map of predicted slope instability. The results of this study demonstrate that slope instability can be effectively modeled by using GIS technology and logistic multiple regression analysis. © 2002 Elsevier Science B.V. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/71780
ISSN
2015 Impact Factor: 2.813
2015 SCImago Journal Rankings: 1.441
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorDai, FCen_HK
dc.contributor.authorLee, CFen_HK
dc.date.accessioned2010-09-06T06:35:06Z-
dc.date.available2010-09-06T06:35:06Z-
dc.date.issued2002en_HK
dc.identifier.citationGeomorphology, 2002, v. 42 n. 3-4, p. 213-228en_HK
dc.identifier.issn0169-555Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/71780-
dc.description.abstractSteep terrain and high a frequency of tropical rainstorms make landslide occurrence on natural terrain a common phenomenon in Hong Kong. This paper reports on the use of a Geographical Information Systems (GIS) database, compiled primarily from existing digital maps and aerial photographs, to describe the physical characteristics of landslides and the statistical relations of landslide frequency with the physical parameters contributing to the initiation of landslides on Lantau Island in Hong Kong. The horizontal travel length and the angle of reach, defined as the angle of the line connecting the head of the landslide source to the distal margin of the displaced mass, are used to describe runout behavior of landslide mass. For all landslides studied, the horizontal travel length of landslide mass ranges from 5 to 785 m, with a mean value of 43 m, and the average angle of reach is 27.7°. This GIS database is then used to obtain a logistic multiple regression model for predicting slope instability. It is indicated that slope gradient, lithology, elevation, slope aspect, and land-use are statistically significant in predicting slope instability, while slope morphology and proximity to drainage lines are not important and thus excluded from the model. This model is then imported back into the GIS to produce a map of predicted slope instability. The results of this study demonstrate that slope instability can be effectively modeled by using GIS technology and logistic multiple regression analysis. © 2002 Elsevier Science B.V. All rights reserved.en_HK
dc.languageengen_HK
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/geomorphen_HK
dc.relation.ispartofGeomorphologyen_HK
dc.rightsGeomorphology. Copyright © Elsevier BV.en_HK
dc.subjectGeographical Information Systems (GIS)en_HK
dc.subjectLandslidesen_HK
dc.subjectLogistic multiple regressionen_HK
dc.subjectRunouten_HK
dc.titleLandslide characteristics and slope instability modeling using GIS, Lantau Island, Hong Kongen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0169-555X&volume=42&spage=213&epage=228&date=2002&atitle=Landslide+characteristics+and+slope+instability+modeling+using+GIS,+Lantau+Island,+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.doi10.1016/S0169-555X(01)00087-3en_HK
dc.identifier.scopuseid_2-s2.0-0036134698en_HK
dc.identifier.hkuros70952en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0036134698&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume42en_HK
dc.identifier.issue3-4en_HK
dc.identifier.spage213en_HK
dc.identifier.epage228en_HK
dc.identifier.isiWOS:000173295900004-
dc.publisher.placeNetherlandsen_HK
dc.identifier.scopusauthoridDai, FC=7102055666en_HK
dc.identifier.scopusauthoridLee, CF=8068602600en_HK
dc.identifier.citeulike10619006-

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