Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.787957
Title: Investigation and prediction of pollution in coastal and estuarine waters, using experimental and numerical methods
Author: King, Jonathan Auryn
ISNI:       0000 0004 7973 0638
Awarding Body: Cardiff University
Current Institution: Cardiff University
Date of Award: 2019
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Abstract:
In recent years, society has become more aware and concerned with the environmental and human health impacts of population growth and development. In response, a number of legislative measures have been introduced within Europe (and globally), which have sparked much cross-disciplinary research aimed at predicting and quantifying these impacts, and suggesting mitigation measures. This thesis is focussed on improving current understanding of, and simulating pollutant transport, in the aquatic environment. In particular, bacterial pollution. A number of 2D and 3D hydro-environmental models were developed to predict faecal bacterial levels for a pilot study in Swansea Bay, UK, in order to further current understanding of bacterial processes and evaluate beach management practices. Of these, a 2D model with an improved method of representing beach sources, and a 3D model with a depth-varying decay rate, were found to improve bacterial concentration predictions in the nearshore zone. These are therefore proposed as the preferred approaches when studying a shallow gradient beach located in in a macro-tidal region (such as Swansea Bay). Furthermore, it has been shown that the designation of a single monitoring point for Swansea Bay bathing water may not be best practice, as the current sampling point is not representative of the whole bathing water. In addition, an experimental study was conducted to monitor turbulent diffusion in a uniform channel under low Reynolds number steady ow conditions by tracking the position of oating particles. It was shown that the aspect ratio of a ow and the bed roughness play an important role in governing the scale of turbulent diffusion and, in the experiential set-up, were more indicative than the measurable turbulent ow properties. Results from this experiment were crossvalidated with 2D numerical model simulations and the findings may assist in the prediction of pollutant transport in surface waters.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.787957  DOI: Not available
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