File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Landslide susceptibility mapping and evaluation along a river valley in China

TitleLandslide susceptibility mapping and evaluation along a river valley in China
Authors
KeywordsAnalytic Hierarchy Process (AHP)
Fuzzy Set
Geographic Information System
landslide susceptibility
Issue Date2012
PublisherWiley-Blackwell Publishing Asia.
Citation
Acta Geologica Sinica (English Edition), 2012, v. 86 n. 4, p. 1022-1030 How to Cite?
AbstractLandslide susceptibility evaluation at regional scale is commonly performed based dominantly on the analysis of geological and geomorphological conditions of historical landslide cases. The main content of this type of evaluation covers identifying key casual factors, their critical groupings and relative importance. The present study demonstrates an application of the above concept to a 90 km long segment of Jinshajiang River valley in China. Correlations of landslide occurrence with potential causative factors are derived according to interpretation of field investigation. Lithology, orientation of bedding planes, slope angle, stream action, rainfall and earthquake intensity are selectively recognized as identifiable/measurable causative factors to establish a factor domain. The membership grades, for field values of quantitative factors, to the susceptibility classes are determined based on the construction of fuzzy sets, while those for descriptive factors are assigned from a fuzzy score table. The analytic hierarchy process (AHP) is adopted for assigning weights to each individual factor. Subsequently, the evaluation is implemented in a GIS program IDRISI, where four classes of landslide susceptibility are identified and delineated in the subject area. The approach described in the present paper showed consistence with the nature and availability of data for evaluating landslide susceptibility at regional scale. The methodology presented can be effectively employed by relevant authorities to identify risky areas for dislocating major infrastructural project, and develop management strategies for land use.
Persistent Identifierhttp://hdl.handle.net/10722/173981
ISSN
2023 Impact Factor: 3.5
2023 SCImago Journal Rankings: 0.505
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLi, Y-
dc.contributor.authorAydin, A-
dc.contributor.authorXiang, X-
dc.contributor.authorJu, N-
dc.contributor.authorZhao, J-
dc.contributor.authorOzbek, A-
dc.date.accessioned2012-11-06T07:51:55Z-
dc.date.available2012-11-06T07:51:55Z-
dc.date.issued2012-
dc.identifier.citationActa Geologica Sinica (English Edition), 2012, v. 86 n. 4, p. 1022-1030-
dc.identifier.issn1755-6724-
dc.identifier.urihttp://hdl.handle.net/10722/173981-
dc.description.abstractLandslide susceptibility evaluation at regional scale is commonly performed based dominantly on the analysis of geological and geomorphological conditions of historical landslide cases. The main content of this type of evaluation covers identifying key casual factors, their critical groupings and relative importance. The present study demonstrates an application of the above concept to a 90 km long segment of Jinshajiang River valley in China. Correlations of landslide occurrence with potential causative factors are derived according to interpretation of field investigation. Lithology, orientation of bedding planes, slope angle, stream action, rainfall and earthquake intensity are selectively recognized as identifiable/measurable causative factors to establish a factor domain. The membership grades, for field values of quantitative factors, to the susceptibility classes are determined based on the construction of fuzzy sets, while those for descriptive factors are assigned from a fuzzy score table. The analytic hierarchy process (AHP) is adopted for assigning weights to each individual factor. Subsequently, the evaluation is implemented in a GIS program IDRISI, where four classes of landslide susceptibility are identified and delineated in the subject area. The approach described in the present paper showed consistence with the nature and availability of data for evaluating landslide susceptibility at regional scale. The methodology presented can be effectively employed by relevant authorities to identify risky areas for dislocating major infrastructural project, and develop management strategies for land use.-
dc.languageeng-
dc.publisherWiley-Blackwell Publishing Asia.-
dc.relation.ispartofActa Geologica Sinica (English Edition)-
dc.rightsThe definitive version is available at www3.interscience.wiley.com-
dc.subjectAnalytic Hierarchy Process (AHP)-
dc.subjectFuzzy Set-
dc.subjectGeographic Information System-
dc.subjectlandslide susceptibility-
dc.titleLandslide susceptibility mapping and evaluation along a river valley in Chinaen_US
dc.typeArticleen_US
dc.identifier.emailLi, Y: li.dennis@hotmail.com-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1111/j.1755-6724.2012.00726.x-
dc.identifier.scopuseid_2-s2.0-84867385128-
dc.identifier.volume86-
dc.identifier.issue4-
dc.identifier.spage1022-
dc.identifier.epage1030-
dc.identifier.isiWOS:000307378800021-
dc.publisher.placeAustralia-
dc.identifier.issnl1000-9515-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats