Application of mesh-adaptation for pollutant transport by water flow |
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| Affiliation: | 1. LAGA, Université Paris 13, 99 Av J.B. Clement, 93430 Villetaneuse, France;2. ENSAO, EMCS Complex Universitaire, B.P. 669, 60000 Oujda, Morocco;3. School of Engineering, University of Durham, South Road, DH1 3LE, UK;1. Graduate Program in Mechanical Engineering, Pontifical Catholic University of Paranã, Rua Imaculada Conceição, 1155, CEP: 80.215-901, Curitiba, PR, Brazil;2. Graduate Program in Numerical Methods in Engineering, Federal University of Paranã, Centro Politécnico, Bloco Lame/Cesec Caixa Posta 19011, CEP: 81531-990, Curitiba, PR, Brazil;3. Graduate Program in Civil Engineering, Federal Technological University of Paranã, Rua Dep. Heitor Alencar Furtado, 4900, CEP: 81.280-340, Curitiba, PR, Brazil;1. Institute of Strength Physics and Materials Science SB RAS, Tomsk 634021, Russia;2. Ternopil Ivan Pul’uj National Technical University, Ternopil 46001, Ukraine;3. Tomsk Polytechnic University, Tomsk 634050, Russia;1. Cancer Registry of Norway, Oslo 0379, Norway;2. Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway;3. Department of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Institutet, Stockholm, Sweden;4. Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden;5. Unit of Genetic Epidemiology, German Cancer Research Center, Heidelberg, Germany;6. Medical Faculty, University of Heidelberg, Heidelberg, Germany;7. Section of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, France;8. Department of Agrotechnology and Food Sciences, Wageningen University and Research, Wageningen, Netherlands;9. Regional Cancer Centre Uppsala, Örebro, Sweden;10. Division of Psychosocial Research and Epidemiology, Netherlands Cancer Institute, Amsterdam, Netherlands;11. Finnish Cancer Registry, Cancer Society of Finland, Helsinki, Finland;12. Danish Cancer Society Research Center, Copenhagen, Denmark;13. Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway;14. Swiss Tropical and Public Health Institute, Associated Institute of the University of Basel, Switzerland;15. Norwegian Cancer Society, Oslo, Norway;p. Department of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK;q. Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK;r. Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, UK;s. Division of Health Data and Digitalisation, Norwegian Institute of Public Health, Oslo, Norway |
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| Abstract: | An adaptive finite volume method is proposed for the numerical solution of pollutant transport by water flows. The shallow water equations with eddy viscosity, bottom friction forces and wind shear stresses are used for modelling the water flow whereas, a transport-diffusion equation is used for modelling the advection and dispersion of pollutant concentration. The adaptive finite volume method uses simple centred-type discretization for the source terms, can handle complex topography using unstructured grids and satisfies the conservation property. The adaptation criteria are based on monitoring the pollutant concentration in the computational domain during its dispersion process. The emphasis in this paper is on the application of the proposed method for numerical simulation of pollution dispersion in the Strait of Gibraltar. Results are presented using different tidal conditions and wind-induced flow fields in the Strait. |
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