Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/224288
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dc.coverage.spatial
dc.date.accessioned2018-12-24T06:09:17Z-
dc.date.available2018-12-24T06:09:17Z-
dc.identifier.urihttp://hdl.handle.net/10603/224288-
dc.description.abstractThe computational and algorithmic analysis of tsunami wave parameters are achieved in newlinethree steps: the first step is to calculate the earthquake fault parameters such as length, newlinewidth, area and displacement from the epicenter, which corresponds to the effect of its newlinevariation with respect to the earthquake magnitude. The variation of each fault parameters newlinehave been measured and recorded out over the certain moment of magnitudes (M). This newlineshows smaller values as compared to the earthquake magnitude M9.5 at which all the newlineparameters shows very large response. The second step involves the measurements of water newlinewave angular frequency in deep, intermediate and shallower region of ocean. The values of newlineangular frequencies in deep water shows the lesser response as compared to other two newlinewater conditions because, in deep water the angular velocity of water particles travels with newlinethe lesser speed as compared to the shallower region as per Airy s wave theory. The newlinesimulation results show the angular velocity in deep ocean is very less and moderate in the newlineintermediate water and very high on the coastal region. It indicates the higher impact on newlinecoastal region. The third step involves the simulation study of measurement of tsunami newlineEigen functions such as orbital velocity, acceleration, wave potential in deep, intermediate and shallower water regions. The future improvements in integrated tsunami detection systems can also be easily newlineincorporated in this technique in order to obtain better detection capabilities. newline
dc.format.extent119
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleComputational and Algorithmic Analysis of Tsunami Wave Parameters and Investigation of Early Tsunami Detection with Remote Sensing Techniques
dc.title.alternative
dc.creator.researcherChaturvedi, Sudhir Kumar
dc.subject.keywordEngineering and Technology,Engineering,Engineering Geological,Integrated Early Warning Systems,Tsunami
dc.description.note
dc.contributor.guideGuven, Ugur and Srivastava, Pankaj Kumar
dc.publisher.placeDehradun
dc.publisher.universityUniversity of Petroleum and Energy Studies (UPES)
dc.publisher.institutionDepartment of Aerospace Engineering
dc.date.registered7/1/2012
dc.date.completed7/1/2017
dc.date.awarded24/11/2018
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Aerospace Engineering

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01_title.pdfAttached File15.82 kBAdobe PDFView/Open
02_declaration.pdf5.05 kBAdobe PDFView/Open
03_certificate.pdf57.41 kBAdobe PDFView/Open
04_acknowledgement.pdf19.24 kBAdobe PDFView/Open
05_abstracts.pdf16.86 kBAdobe PDFView/Open
06_contents.pdf87.27 kBAdobe PDFView/Open
07_list of tables.pdf13.28 kBAdobe PDFView/Open
08_list of figures.pdf30.09 kBAdobe PDFView/Open
09_list of abbreviations.pdf8.07 kBAdobe PDFView/Open
10_list of symbols.pdf21.09 kBAdobe PDFView/Open
11_chapter1.pdf339.29 kBAdobe PDFView/Open
12_chapter2.pdf136.75 kBAdobe PDFView/Open
13_chapter3.pdf3.55 MBAdobe PDFView/Open
14_chapter4.pdf259.39 kBAdobe PDFView/Open
15_chapter5.pdf44.74 kBAdobe PDFView/Open
16_references.pdf46.96 kBAdobe PDFView/Open
17_appendices.pdf52.84 kBAdobe PDFView/Open


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