Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/532032
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dc.coverage.spatialDisaster and Geoinformatics
dc.date.accessioned2023-12-21T09:49:20Z-
dc.date.available2023-12-21T09:49:20Z-
dc.identifier.urihttp://hdl.handle.net/10603/532032-
dc.description.abstractLandslides represent a pervasive and deleterious natural occurrence within mountainous terrains. Annually, they inflict substantial devastation and turmoil upon mountain communities. Given the multifaceted repercussions, this research endeavours to scrutinize landslide hazards within the Upper Ravi River catchment. The primary objectives encompass discerning landslide spatial patterns, elucidating causative factors, and assessing susceptibility, vulnerability, and risk within the catchment. The study employs an amalgamation of geostatistical methodologies and field investigations to achieve these aims. Spatial and non-spatial data have been methodically amalgamated from diverse sources. The research findings discern two focal points of heightened landslide activity and susceptibility, located in the western and central regions of the study area. Particularly, areas proximate to road networks, watercourses, settlements, and agricultural zones exhibit escalated landslide potential. Furthermore, alongside geophysical factors, anthropogenic influences have been found to be pivotal in augmenting regional landslide susceptibility. Approximately 35% of the total villages surveyed exhibit a moderate to very high susceptibility to landslides. In terms of risk assessment, the study reveals that the vicinity around Chamba town exhibit the highest degree of risk, followed by the Holi Valley and Bharmour Valley. These findings underscore the latent peril faced by mountainous landscapes and their local ecosystems. Consequently, the insights garnered from this research hold the potential to assist governmental entities in implementing effective measures for the mitigation and amelioration of the impacts stemming from such catastrophic events. newline
dc.format.extentviii, 210p.
dc.languageEnglish
dc.relation-
dc.rightsuniversity
dc.titleLandslide susceptibility and risk assessment a geospatial analysis of upper Ravi river catchment
dc.title.alternative
dc.creator.researcherSharma, Pooja
dc.subject.keywordGeospatial technologies
dc.subject.keywordLandslides
dc.subject.keywordRisk Assessment
dc.subject.keywordSusceptibility
dc.subject.keywordVulnerability
dc.description.noteBibliography 171-210p.
dc.contributor.guideSingh, Vishwa Bandhu and Kahlon, Simrit
dc.publisher.placeChandigarh
dc.publisher.universityPanjab University
dc.publisher.institutionDepartment of Geography
dc.date.registered2016
dc.date.completed2022
dc.date.awarded2024
dc.format.dimensions-
dc.format.accompanyingmaterialCD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Geography

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01_title.pdf.pdfAttached File181.4 kBAdobe PDFView/Open
02_prelim_pages.pdf3.71 MBAdobe PDFView/Open
03_introduction.pdf20.6 MBAdobe PDFView/Open
04_chapter1.pdf8.64 MBAdobe PDFView/Open
06_chapter3.pdf4.5 MBAdobe PDFView/Open
07_chapter4.pdf16.81 MBAdobe PDFView/Open
08_ annexures.pdf855.66 kBAdobe PDFView/Open
80_recommendation.pdf968.08 kBAdobe PDFView/Open


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