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dc.contributor.advisorStretch, Derek D.
dc.creatorPatel, Sahil Ramesh.
dc.date.accessioned2012-01-11T12:22:42Z
dc.date.available2012-01-11T12:22:42Z
dc.date.created2002
dc.date.issued2002
dc.identifier.urihttp://hdl.handle.net/10413/4801
dc.descriptionThesis (M.Sc.Eng.)-University of Natal, Durban, 2002.en
dc.description.abstractDurban is the busiest container port in Africa and there are plans for significant expansion during the next few years. This expansion includes the widening of the port entrance channel to accommodate larger "post-panamax" vessels. Complex crosscurrents near the port entrance, coupled with severe wind and wave conditions, may lead to the intermittent closure of the port which in turn could lead to significant economic implications. Information on the nature of the crosscurrents and how they affect the ships could assist harbour pilots in developing their skills and reduce the risks associated with steering ships into the port. The research involved a case study to develop an innovative new method for directly measuring the effect of wind, waves and crosscurrents on ships entering the port. The technology is based on the application of digital image processing to track the position of ships as they manoeuvre in the port approach channel. The key innovation of this research is the extraction of the heading direction of the ship from the image data. The angle between this heading direction and the true velocity vector (the "crab angle") is then a direct measure of the cross-track drift velocity (CTDV) due to the combined effects of wind, waves and currents. The crosscurrents are usually the main contributing factor to the cross-track drift. The aim of this research was to develop a fully automated image processing system for real-time ship monitoring, and to determine cross-track drift within a wide range of weather conditions and ship parameters. The methodology presented in this research allows the spatial structure of the CTDV along the harbour approach channel to be studied. The relationship of the CTDV to local surface winds was analysed. For deep draught vessels, measured CTDVs were found to be poorly correlated to surface winds. The spatial structure of the measured CTDVs shows distinct regions along the approach channel where vessels experience significantly larger drift velocities. In summary, with the software tools developed by this research, digital images can be captured automatically and analysed to produce ship tracks and crab angles. From this information an extensive database for ship manoeuvring in the approach channel can be developed and the safety and efficiency of port operations improved.en
dc.language.isoenen
dc.subjectOcean engineering.en
dc.subjectApproach channels (Hydraulic engineering)en
dc.subjectImage processing--Digital techniques.en
dc.subjectDurban harbour.en
dc.subjectTheses--Civil engineering.en
dc.titleApplication of digital imaging in measuring cross track drift of vessels entering a port.en
dc.typeThesisen


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