Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/425856
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dc.date.accessioned2022-12-16T12:41:15Z-
dc.date.available2022-12-16T12:41:15Z-
dc.identifier.urihttp://hdl.handle.net/10603/425856-
dc.description.abstractClimate change, a challenging global concern, is referred to as the defining issue of newlinepresent times. Anthropogenic interventions have increased the concentration of newlinegreenhouse gases in the atmosphere. This has resulted in warming of the planet, leading newlineto changes in the Earth s climate. Changes in climate alter the magnitude, frequency, newlineduration and spatial extent of extreme hydro-meteorological events. The severity of newlineimpact of these extreme events depends on the degree to which the civil society is newlineexposed and is vulnerable. Studies focussing on hydro-meteorological extremes and newlineassociated uncertainties facilitate the formulation and implementation of appropriate newlineadaptation and mitigation strategies so that the adverse impacts of these events on the newlinesociety can be reduced to a considerable extent. newlineIn this study, the impact of projected climate change on precipitation and streamflow newlineextremes in the Chaliyar river basin in the State of Kerala, India is addressed. In order to newlineassess the impact of climate change on future precipitation extremes, the precipitation newlinereturn levels at Kottamparamba, Manjeri and Nilambur raingauge stations under the newlinerepresentative concentration pathways (RCPs) 4.5 and 8.5 in the near (2021-2050) and newlinefar future (2071-2099) periods were determined for different return periods. Reliability newlineensemble averaging was performed with the annual maximum precipitation (AMP) newlineseries derived from the dynamically downscaled projections of seven global climate newlinemodels (GCMs), viz., ACCESS1.0, CNRM-CM5, MPI-ESM-LR, NorESM1-M, newlineCanESM2, CSIRO-Mk3.6 and IPSL-CM5A-LR. The projections of the first four GCMs newlinewere downscaled using the regional climate model (RCM) CCAM whereas the newlineprojections of the other three GCMs were downscaled using the RCM RegCM4. newline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleAnalysis of precipitation and streamflow extremes and quantification of uncertainties under climate change in a humid tropical river basin
dc.title.alternative
dc.creator.researcherS, Ansa Thasneem
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering
dc.subject.keywordEngineering Civil
dc.subject.keywordGreenhouse gases
dc.description.note
dc.contributor.guideNR, Chithra and Thampi, Santosh G
dc.publisher.placeCalicut
dc.publisher.universityNational Institute of Technology Calicut
dc.publisher.institutionCIVIL ENGINEERING
dc.date.registered2016
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:CIVIL ENGINEERING

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01_title.pdfAttached File135.49 kBAdobe PDFView/Open
02_prelim pages.pdf418.41 kBAdobe PDFView/Open
03_content.pdf194.57 kBAdobe PDFView/Open
04_abstract.pdf304.48 kBAdobe PDFView/Open
05_chapter 1.pdf393.8 kBAdobe PDFView/Open
06_chapter 2.pdf474.83 kBAdobe PDFView/Open
07_chapter 3.pdf1.83 MBAdobe PDFView/Open
08_chapter 4.pdf1.3 MBAdobe PDFView/Open
09_chapter 5.pdf3.3 MBAdobe PDFView/Open
10_annexures.pdf2.14 MBAdobe PDFView/Open
80_recommendation.pdf344.05 kBAdobe PDFView/Open


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