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Article: Landslide susceptibility mapping and evaluation along a river valley in China
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TitleLandslide susceptibility mapping and evaluation along a river valley in China
 
AuthorsLi, Y2 5
Aydin, A
Xiang, X3
Ju, N4
Zhao, J4
Ozbek, A
 
KeywordsAnalytic Hierarchy Process (AHP)
Fuzzy Set
Geographic Information System
landslide susceptibility
 
Issue Date2012
 
PublisherWiley-Blackwell Publishing Asia.
 
CitationActa Geologica Sinica (English Edition), 2012, v. 86 n. 4, p. 1022-1030 [How to Cite?]
DOI: http://dx.doi.org/10.1111/j.1755-6724.2012.00726.x
 
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.
 
ISSN1755-6724
 
DOIhttp://dx.doi.org/10.1111/j.1755-6724.2012.00726.x
 
ISI Accession Number IDWOS:000307378800021
 
DC FieldValue
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.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.description.naturelink_to_subscribed_fulltext
 
dc.identifier.citationActa Geologica Sinica (English Edition), 2012, v. 86 n. 4, p. 1022-1030 [How to Cite?]
DOI: http://dx.doi.org/10.1111/j.1755-6724.2012.00726.x
 
dc.identifier.doihttp://dx.doi.org/10.1111/j.1755-6724.2012.00726.x
 
dc.identifier.epage1030
 
dc.identifier.isiWOS:000307378800021
 
dc.identifier.issn1755-6724
 
dc.identifier.issue4
 
dc.identifier.scopuseid_2-s2.0-84867385128
 
dc.identifier.spage1022
 
dc.identifier.urihttp://hdl.handle.net/10722/173981
 
dc.identifier.volume86
 
dc.languageeng
 
dc.publisherWiley-Blackwell Publishing Asia.
 
dc.publisher.placeAustralia
 
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 China
 
dc.typeArticle
 
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<item><contributor.author>Li, Y</contributor.author>
<contributor.author>Aydin, A</contributor.author>
<contributor.author>Xiang, X</contributor.author>
<contributor.author>Ju, N</contributor.author>
<contributor.author>Zhao, J</contributor.author>
<contributor.author>Ozbek, A</contributor.author>
<date.accessioned>2012-11-06T07:51:55Z</date.accessioned>
<date.available>2012-11-06T07:51:55Z</date.available>
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<description.abstract>Landslide 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.</description.abstract>
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Author Affiliations
  1. Kahramanmaras Sütçü Imam Üniversitesi
  2. The University of Hong Kong
  3. Guizhou University
  4. State Key Laboratory of Geohazard Prevention and Geoenvironment Protection
  5. University of Mississippi