# New Unstructured Mesh Water Quality Model for Cooling Water Biocide Discharges

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## Abstract

A new unstructured mesh coastal water and air quality model has been developed that includes species transport, nonlinear decay, by-product formation, and mass-exchange between sea and atmosphere. The model has been programmed with a graphical user interface and is applicable to coastal seawater, lakes, and rivers. Focused on species conversion and interaction with the atmosphere, the water and air quality model follows a modular approach. It is a compatible module which simulates distributions based on fluid dynamic field data of underlying existing hydrodynamic and atmospheric simulations. Nonlinear and spline approximations of decay and growth kinetics, by-product formation, and joint sea–atmosphere simulation have been embedded. The Windows application software includes functions allowing error analysis concerning mesh and finite volume approximation. In this work, a submerged residual chlorine cooling water discharge and halogenated matter by-product formation has been simulated. An error analysis has been carried out by varying vertical meshing, time-steps and comparing results based on explicit and implicit finite volume approximation. The new model has been named 3D Simulation for Marine and Atmospheric Reactive Transport, in short 3D SMART.

## Keywords

Water quality model Finite volume method Matrix reordering Biocide Chlorination of cooling water Halogenated organic compounds## Notes

### Acknowledgments

This publication was made possible by NPRP grant # 29-6-7-39 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors.

## References

- 1.Abarnou, A., & Miossec, L. (1992). Chlorinated waters discharged to the marine environment chemistry and environmental impact. An overview.
*The Science of the Total Environment, 126*, 173–197.CrossRefGoogle Scholar - 2.Taylor, C. (2006). The effects of biological fouling control at coastal and estuarine power stations.
*Marine Pollution Bulletin, 53*, 30–48.CrossRefGoogle Scholar - 3.EPA (1980). Clean Water Act, Section 403, Ocean Discharge Criteria.Google Scholar
- 4.Abdel-Wahab, A., Linke, P., Alfadala, H. E., El-Halwagi, M. M., & Batchelor, B. (2009). Towards a holistic approach to the sustainable use of seawater for process cooling. advances in gas processing. Proceedings of the 1st Annual Gas Processing Symposium. pp. 332–340.Google Scholar
- 5.Lawen, J., Huaming, Y., Linke, P., & Abdel-Wahab, A. (2010). Industrial water discharge and biocide fate simulations with nonlinear conversion. Proceedings of the 2nd Annual Gas Processing Symposium. pp. 99–106.Google Scholar
- 6.Adenekan, A. E., Kolluru, V. S.,& Smith, J. P. (2009). Transport and fate of chlorinated by-products associated with cooling water discharges, advances in gas processing. Proceedings of the 1st Annual Gas Processing Symposium. pp. 341–353.Google Scholar
- 7.Kolluru, V. S., Edinger, J. E., Buchak, E. M., & Brinkmann, P. (2003). Hydrodynamic modeling of coastal LNG cooling water discharge.
*Jounal of Energy Engineering, 129*(1), 16–31.CrossRefGoogle Scholar - 8.Jirka, G. H. (2008). Improved discharge configurations for brine effluents from desalination plants.
*Journal of Hydraulic Engineering ASCE, 134*(1), 116–129.CrossRefGoogle Scholar - 9.Lawen, J. (2012). http://www.cssr-qatar.com/index.php/math?showall=&start=6. Accessed 22 July 2013.
- 10.Abdel-Wahab, A., Khodary, A., & Bensalah, N. (2010). Formation of trihalomethanes (THMs) during seawater chlorination.
*Journal of Environmental Protection*. doi: 10.4236/jep.2010.14053. - 11.Versteeg, H., & Malalasekera, W. (2007). The finite volume method for convection–diffusion problems. In:
*Introduction to computational fluid dynamics: the finite volume method*. Prentice Hall, England.Google Scholar - 12.Chen, C. S., Liu, H. D., & Beardsey, R. C. (2003). An unstructured grid, finite-volume, three-dimensional, primitive equations ocean model: application to coastal ocean and estuaries.
*Journal of Atmospheric and Oceanic Technology, 20*, 159–186.CrossRefGoogle Scholar - 13.Lai, Z., Chen, C., Cowles, G., & Beardsley, R. C. (2010). A non-hydrostatic version of FVCOM-validation experiment I: surface standing and solitary waves.
*Journal of Geophysical Research, 115*, C11010.CrossRefGoogle Scholar - 14.Huaming, Y. (2008). A study on optimum schemes for reclamation in a narrow bay using the finite volume method. China Academic Journal Electronic Publishing House.Google Scholar
- 15.Launder, B. E., & Spalding, D. B. (1972).
*Lectures in mathematical models of turbulence*. London: Academic.Google Scholar - 16.Gour-Tsyh, Y. (2002). Fluid flows and reactive chemical transport in variable saturated subsurface media.
*Environmental Fluid Mechanics Theories and Applications*, 207–255.Google Scholar - 17.Haidvogel, D. (1999). The hydrostatic Primitive Equations, Numerical Ocean Circulation Modeling, 19–21.Google Scholar
- 18.Chen, C., Beardsley, R. C., & Cowles, G. (2006).
*An unstructured grid, Finite-Volume Coastal Ocean Model. FVCOM user manual*. Massachusetts: School of Marine and Technology-University of Massachusetts-Dartmouth and Woods Hole Oceanographic Institution. 3 p.Google Scholar - 19.Arya, S. P. (2005). Micrometeorology and atmospheric boundary layer.
*Pure and Applied Geophysics, 162*, 1721–1745.CrossRefGoogle Scholar - 20.Panofsky, H. A., & Dutton, J. A. (1984).
*Atmospheric turbulence: models and methods for engineering applications*. New York: Wiley.Google Scholar - 21.Alinot, C., & Masson, C. (2005).
*k*-*ε*model for the atmospheric boundary layer under various thermal stratifications.*Journal of Solar Engineering, 127*(November), 438–443.CrossRefGoogle Scholar - 22.Huser, A., Nilsen, P. J., & Skatun, H. (1997). Applications of
*k*-*ε*model to the stable ABL: pollution in complex terrain.*Journal of Wind Engineering and Industrial Aerodynamics, 67–68*, 425–436.CrossRefGoogle Scholar - 23.Morel, R., Laassibi, A., Alcaraz, E., Zegadi, R., Brun, G., & Jeandel, D. (1992). Validation of a
*k*-*ε*model based on experimental results in a thermally stable stratified turbulent boundary layer.*International Journal of Heat and Mass Transfer, 35*, 2717–2724.CrossRefGoogle Scholar - 24.Lapidus, L., & Pinder, G. F. (1999).
*Numerical solution of partial differential equations in science and technology*. New York: Wiley.CrossRefGoogle Scholar - 25.Sander, R. (1999). Compilation of Henry’s law constants for inorganic and organic species of potential importance in environmental chemistry. http://www.henrys-law.org/henry.pdf. Accessed 24 July 2013.
- 26.McCoy, W. F., Blatchley, E. R. III, & Johnson, R. W. (1990). Hypohalous acid and haloamine flashoff in industrial cooling systems. TP90-09. Cooling Tower Institute.Google Scholar
- 27.Dewulf, A., Craps, M., Bouwen, R., Taillieu, T., & Pahl-Wostl, C. (2005). Integrated management of natural resources: dealing with ambiguous issues, multiple actors and diverging frames.
*Water Science and Technology, 52*, 115–124.Google Scholar - 28.Cressman, G. P. (1959). An operational objective analysis system.
*Monthly Weather Review, 87*, 367–374.CrossRefGoogle Scholar - 29.Barnes, S. L. (1964). A technique for maximizing details in numerical weather map analysis.
*Journal of Applied Meteorology, 3*, 396–409.CrossRefGoogle Scholar