Technical Papers
Apr 21, 2014

Assimilative Capacity and Flow Dilution for Water Quality Protection in Rivers

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Publication: Journal of Hazardous, Toxic, and Radioactive Waste
Volume 19, Issue 2

Abstract

Industrial and urban development is a common cause of increased pollution. Pollutants are in many instances discharged untreated to rivers due to lack of adequate treatment facilities and high treatment cost. In many cases, the detriment of pollution discharge to a river exceeds its self-purification capacity, and it may cause irreparable damages to the riverine environment. In this regard, water flow in a river is an effective characteristic behind its assimilative capacity that can be used to decrease pollution damages. Determining a river’s assimilation capacity and the flow necessary for dilution of pollutants are important tasks. In this paper, pollution damage to a riverine environment is a function of the pollutant’s concentration and the contact duration with river water. Pollutant transport in a river is simulated based on mathematical equations of pollutant advection-dispersion. The optimum values of a river’s assimilation capacity and the dilution flow required in a river to mitigate pollution are determined using a nonlinear programming (NLP) method and the nondominated sorting genetic algorithms II (NSGA-II). The optimum assimilation capacity of a river was calculated in an application example for different reservoir releases. The results show that the magnitude of river flow can improve the total riverine assimilation capacity by up to 80%. Optimal Pareto boundaries were obtained for pollutant concentration and the duration of pollutant contact by means of river flow adjustment.

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References

Afshar, A., Shafii, M., and Bozorg Haddad, O. (2010). “Optimizing multi-reservoir operation rules: An improved HBMO approach.” J. Hydroinf., 13(1), 121–139.
Bozorg Haddad, O., Adams, B. J., and Mariño, M. A. (2008c). “Optimum rehabilitation strategy of water distribution systems using the HBMO algorithm.” J. Water Supply: Res. Technol.—AQUA, 57(5), 337–350.
Bozorg Haddad, O., Afshar, A., and Mariño, M. A. (2008a). “Design-operation of multi-hydropower reservoirs: HBMO approach.” Water Resour. Manage., 22(12), 1709–1722.
Bozorg Haddad, O., Afshar, A., and Mariño, M. A. (2008b). “Honey-bee mating optimization (HBMO) algorithm in deriving optimal operation rules for reservoirs.” J. Hydroinf., 10(3), 257–264.
Bozorg Haddad, O., Afshar, A., and Mariño, M. A. (2009). “Optimization of non-convex water resource problems by honey-bee mating optimization (HBMO) algorithm.” Eng. Comput., 26(3), 267–280.
Bozorg Haddad, O., Afshar, A., and Mariño, M. A. (2011a). “Multireservoir optimisation in discrete and continuous domains.” Proc., Inst. Civ. Eng. Water Manage., 164(2), 57–72.
Bozorg Haddad, O., and Mariño, M. A. (2007). “Dynamic penalty function as a strategy in solving water resources combinatorial optimization problems with honey-bee optimization (HBMO) algorithm.” J. Hydroinf., 9(3), 233–250.
Bozorg Haddad, O., and Mariño, M. A. (2011). “Optimum operation of wells in coastal aquifers.” Proc., Inst. Civ. Eng. Water Manage., 164(3), 135–146.
Bozorg Haddad, O., Moradi-Jalal, M., and Mariño, M. A. (2011b). “Design-operation optimisation of run-of-river power plants.” Proc., Inst. Civ. Eng. Water Manage., 164(9), 463–475.
Chang, N. B., Chen, H. W., Shaw, D. G., and Yang, C. H. (1997).“Water pollution control in river basin by interactive fuzzy interval multiobjective programming.” J. Environ. Eng., 1208–1216.
Chen, Q., Wu, W., Blanckaert, K., Ma, J., and Huang, G. (2012). “Optimization of water quality monitoring network in a large river by combining measurements, A numerical model and matter-element analysis.” J. Environ. Manage., 110, 116–124.
De Andrade, L. N., Mauri, G. R., and Mendonça, A. S. F. (2013). “General multiobjective model and simulated annealing algorithm for waste-load allocation.” J. Water Resour. Plann. Manage., 339–344.
Fallah-Mehdipour, E., Bozorg Haddad, O., Beygi, S., Mariño, M. A. (2011b). “Effect of utility function curvature of Young’s bargaining method on the design of WDNs.” Water Resour. Manage., 25(9), 2197–2218.
Fallah-Mehdipour, E., Bozorg Haddad, O., Mariño, M. A. (2011a). “MOPSO algorithm and its application in multipurpose multireservoir operations.” J. Hydroinf., 13(4), 794–811.
Fallah-Mehdipour, E., Bozorg Haddad, O., Mariño, M. A. (2012a). “Real-time operation of reservoir system by genetic programming.” Water Resour. Manage., 26(14), 4091–4103.
Fallah-Mehdipour, E., Bozorg Haddad, O., Rezapour Tabari, M. M., Mariño, M. A. (2012b). “Extraction of decision alternatives in construction management projects: Application and adaptation of NSGA-II and MOPSO.” J. Exp. Syst. Appl., 39(3), 2794–2803.
Fischer, H. B. (1975). “Discussion of simple method for predicting dispersion in streams. By McQuiver, R. S. and Keefer, T. N.” J. Environ. Eng., 101, 453–455.
Fischer, H. B., List, E. B., Koh, R. C. Y., Imberger, J., and Brooks, N. H. (1979). Mixing in inland and coastal waters, Academic Press, New York.
Ghajarnia, N., Bozorg Haddad, O., Mariño, M. A. (2011). “Performance of a novel hybrid algorithm in the design of water networks.” Proc., Inst. Civ. Eng. Water Manage., 164(4), 173–191.
Jobson, H. E. (1997). “Predicting travel time and dispersion in rivers and streams.” J. Hydraul. Eng., 971–978.
Karamouz, M., Kerachian, R., and Mahmoodian, M. (2003). “Seasonal waste-load allocation model for river water quality management: Application of sequential dynamic genetic algorithms.” World Water and Environmental Resources Congress, ASCE, Reston, VA.
Karimi-Hosseini, A., Bozorg Haddad, O., Mariño, M. A. (2011). “Site selection of rain gauges using entropy methodologies.” Proc., Inst. Civ. Eng. Water Manage., 164(7), 321–333.
Kerachian, R., and Karamouz, M. (2007). “A stochastic conflict resolution model for water quality management in reservoir-river systems.” J. Adv. Water Resour., 30(4), 866–882.
Kerachian, R., Karamouz, M., and Naseri, A. V. (2005). “River water quality management: Application of stochastic genetic algorithm.” World Water and Environmental Resources Congress, ASCE, Reston, VA.
Lindo Systems. (2004). “Lingo user’s guide.” Chicago.
MATLAB version 8.3 [Computer software]. Natick, MA, MathWorks.
Meng, M. (2009). “System engineering for water pollution control at the watershed level in China.” Front. Environ. Sci. Eng. China, 3(4), 443–452.
Meuleman, A. F. M., Beltman, B., and Scheffer, R. A. (2004). “Water pollution control by aquatic vegetation of treatment wetlands.” Wetlands Ecol. Manage., 12(5), 459–471.
Moradi-Jalal, M., Bozorg Haddad, O., Karney, B. W., Mariño, M. A. (2007). “Reservoir operation in assigning optimal multi-crop irrigation areas.” Agr. Water Manage., 90(1–2), 149–159.
Nash, J. (1950). “Equilibrium points in n-person games.” Proc., Nat. Acad. Sci., 36, 48–49.
Noory, H., Liaghat, A. M., Parsinejad, M., and Bozorg Haddad, O. (2012). “Optimizing irrigation water allocation and multicrop planning using discrete PSO algorithm.” J. Irrig. Drain. Eng., 437–444.
Poorsepahy-Samian, H., Kerachian, R., and Nikoo, M. R. (2012). “Water and pollution discharge permit allocation to agricultural zones: Application of game theory and min-max regret analysis.” Water Resour. Manage., 26(14), 4241–4257.
Rasoulzadeh-Gharibdousti, S., Bozorg Haddad, O., Mariño, M. A. (2011). “Optimal design and operation of pumping stations using NLP-GA.” Proc., Inst. Civ. Eng. Water Manage., 164(4), 163–171.
Sabbaghpour, S., Naghashzadehgan, M., Javaherdeh, K., and Bozorg Haddad, O. (2012). “HBMO algorithm for calibrating water distribution network of Langarud city.” Water Sci. Technol., 65(9), 1564–1569.
Seifollahi-Aghmiuni, S., Bozorg Haddad, O., Omid, M. H., Mariño, M. A. (2011). “Long-term efficiency of water networks with demand uncertainty.” Proc., Inst. Civ. Eng. Water Manage., 164(3), 147–159.
Seo, I. W., and Cheong, T. S. (1998). “Predicting longitudinal dispersion coefficient in natural streams.” J. Hydraul. Eng., 25–32.
Shokri, A., Bozorg Haddad, O., Mariño, M. A. (2014). “Multi-objective quantity-quality reservoir operation in sudden pollution.” J. Water Resour. Manage., 28(2), 567–586,.
Soltanjalili, M., Bozorg Haddad, O., Mariño, M. A. (2011). “Effect of breakage level one in design of water distribution networks.” Water Resour. Manage., 25(1), 311–337.
van Genuchten, M. Th., and Alves, W. J. (1982). “Analytical solutions of the one-dimensional convective-dispersive solute transport equation.” U.S. Department of Agriculture, 151.
Wen, C. G., and Lee, C. S. (1998). “A neural network approach to multiobjective optimization for water quality management in a river basin.” Water Resour. Res., 34(3), 427–436.
Wu, M., et al. (2013). “Review of ecological engineering solutions for rural non-point source water pollution control in Hubei province, China.” J. Water Air Soil Pollut., 224(5), 1–18.
Yandamuri, S. R., Srinivasan, K., and Bhallamudi, S. M. (2006). “Multiobjective optimal waste load allocation models for rivers using nondominated sorting genetic algorithm-II.” J. Water Resour. Plann. Manage., 133–143.

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Go to Journal of Hazardous, Toxic, and Radioactive Waste
Journal of Hazardous, Toxic, and Radioactive Waste
Volume 19Issue 2April 2015

History

Received: Nov 5, 2013
Accepted: Mar 13, 2014
Published online: Apr 21, 2014
Discussion open until: Sep 21, 2014
Published in print: Apr 1, 2015

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Authors

Affiliations

Mostafa Farhadian [email protected]
M.Sc. Student, Dept. of Irrigation and Reclamation Engineering, Faculty of Agricultural Engineering and Technology, College of Agriculture and Natural Resources, Univ. of Tehran, Karaj, Tehran, Iran. E-mail: [email protected]
Omid Bozorg Haddad [email protected]
Associate Professor, Dept. of Irrigation and Reclamation Engineering, Faculty of Agricultural Engineering and Technology, College of Agriculture and Natural Resources, Univ. of Tehran, Karaj, 3158777871 Tehran, Iran (corresponding author). E-mail: [email protected]
Samaneh Seifollahi-Aghmiuni [email protected]
Ph.D. Candidate, Dept. of Irrigation and Reclamation Engineering, Faculty of Agricultural Engineering and Technology, College of Agriculture and Natural Resources, Univ. of Tehran, Karaj, 3158777871 Tehran, Iran. E-mail: [email protected]
Hugo A. Loáiciga Hugo.Loá[email protected]
Professor, Dept. of Geography, Univ. of California, Santa Barbara, CA 93106-4060. E-mail: Hugo.Loá[email protected]

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