Abstract
The main goal of this work is to assess the possible impacts of an existing desalination plant on the marine environment under various discharge conditions. Assessment is made through the determination, by using mathematical modeling, of the excess salinity and temperature distributions over the nominal seawater values as caused by the desalination plant effluent discharge. This chapter presents first a review of brine discharge models and studies followed by a rigorous numerical analysis study of a typical discharge problem into the Arabian Gulf. The mathematical formulation centers on the concept of shallow water equations in which the 3-D problem is reduced to an equivalent 2-D one by integrating the governing equations over the depth of flow. Appropriate boundary conditions, seabed friction, wind stress, and heat transfer correlations for thermal exchange at water-air interface are used. After validating the numerical model, it is applied to determine the salinity and temperature distributions in shallow coastal waters resulting from effluent discharge from an existing desalination plant situated on the Arabian Gulf. Parametric studies of the effects of a number of influential conditions are carried out by using the actual seabed topography and plant discharge and intake port locations. Effects of sea current magnitude and direction and plant discharge flow rate are in particular presented and analyzed. Possible plant discharge-intake port interactions were predicted with varying degrees of influence. The results presented indicated such interactions and quantified values of salinity and temperature at the plant intake port.
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Acknowledgments
This project was supported by NSTIP strategic technologies program number (08-ENV405-2) in the Kingdom of Saudi Arabia.
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Al-Sanea, S., Orfi, J. (2015). Concentrated Brine and Heat Dispersion into Shallow Coastal Waters of the Arabian Gulf. In: Missimer, T., Jones, B., Maliva, R. (eds) Intakes and Outfalls for Seawater Reverse-Osmosis Desalination Facilities. Environmental Science and Engineering(). Springer, Cham. https://doi.org/10.1007/978-3-319-13203-7_20
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DOI: https://doi.org/10.1007/978-3-319-13203-7_20
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