Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/427594
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dc.coverage.spatialMarine fishery resources assessment Through mesoscale coastal Upwelling extraction using Microwave remote sensing data and Knowledge based expert system GIS Derived potential fishing zone Mapping
dc.date.accessioned2022-12-18T09:45:18Z-
dc.date.available2022-12-18T09:45:18Z-
dc.identifier.urihttp://hdl.handle.net/10603/427594-
dc.description.abstractThe present study deals with an investigation of potential application (suitability) of wind driven mesoscale coastal Upwelling for marine fishery resources exploration through Ekman mass transport modelling using microwave QuikSCAT derived wind data product such as wind speed and Wind direction in the coastal waters of Gujarat, India between 18°N to 24°N and 66°E to 73°E. newlineThe study also verified the feasibility of upwelling to develop Potential Fishing Zone (PFZ) by comparing with the Knowledge Based Expert System - GIS (KBES-GIS) derived PFZ maps and the study has confirmed the reliability of upwelling by comparing the spatio¬temporal(spatial distribution and temporal persistence) characteristics of upwelling with conventional fish catch statistics. newlineThe resultant indices of the Ekman mass transport model such as Ekman mass transport and Ekman depth were used as the signatures to locate and extract the mesoscale properties of upwelling such as spatial extent and temporal persistence. It was understood from the model result that the upwelling development start with the wind speed of at least 5.5 m/s blowing parallel to the coast. The monsoonal wind strength ranging from 5 to 9 m/s in combination with meridional orientation of coastline for 24°N conveniently sets up the upwelling phenomenon. The extent between 18°N to 21.5°N was delineated as the most probable zone of upwelling throughout the NE monsoon season from November to February of the succeeding year. newline
dc.format.extentxxiv,169p.
dc.languageEnglish
dc.relationp.159-168
dc.rightsuniversity
dc.titleMarine fishery resources assessment Through mesoscale coastal Upwelling extraction using Microwave remote sensing data and Knowledge based expert system GIS Derived potential fishing zone Mapping
dc.title.alternative
dc.creator.researcherKanmani Shanmuga Priya, R
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering
dc.subject.keywordEngineering Marine
dc.subject.keywordFishery resources
dc.subject.keywordMesoscale coastal
dc.subject.keywordRemote sensing
dc.description.note
dc.contributor.guideRamakrishnan S S
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Civil Engineering
dc.date.registered
dc.date.completed2021
dc.date.awarded2021
dc.format.dimensions21cm
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Civil Engineering

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01_title.pdfAttached File66.16 kBAdobe PDFView/Open
02_prelim pages.pdf4.26 MBAdobe PDFView/Open
03_contens.pdf1.2 MBAdobe PDFView/Open
04_abstract.pdf956.35 kBAdobe PDFView/Open
05_chapter 1.pdf2.72 MBAdobe PDFView/Open
06_chapter 2.pdf20.99 MBAdobe PDFView/Open
07_chapter 3.pdf5.74 MBAdobe PDFView/Open
08_chapter 4.pdf1.09 MBAdobe PDFView/Open
09_chapter 5.pdf11.38 MBAdobe PDFView/Open
10_annexure.pdf8.6 MBAdobe PDFView/Open
80_recommendation.pdf3.68 MBAdobe PDFView/Open


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