Multi-objective optimization to manage reservoir water quality and quantity via selective withdrawal and watershed control | ||
| Sustainable Earth Trends | ||
| مقاله 1، دوره 2، شماره 2، 2022، صفحه 1-14 اصل مقاله (1.43 M) | ||
| نوع مقاله: Original Research Article | ||
| نویسندگان | ||
| Habib Abbasi* 1؛ Mohammad taghi Aalami2؛ Mohammad Hossein Niksokhan3؛ Leila Malekan1 | ||
| 1Department of civil Engineering, Marand Faculty of Technical and Engineering, University of Tabriz, Tabriz, Iran | ||
| 2Faculty of Civil Engineering, University of Tabriz, Tabriz, Iran, | ||
| 3Department of Environmental Engineering, Graduate Faculty of Environment, University of Tehran, Tehran, Iran | ||
| چکیده | ||
| A new approach was presented to manage simultaneously reservoir outflow quantity and quality. Two strategies were used to control reservoir outflow quality: (1) reservoir inflow control with Best Management Practices (BMPs) in the watershed and (2) outflow management by reservoir operational strategy. Soil and Water Assessment Tool (SWAT) model was linked to a reservoir water quality simulation model (CE-QUAL-W2), the linked watershed-reservoir model was coupled with Multi-Objective Particle Swarm Optimization algorithm (MOPSO) to find the best set of decisions to optimize the reservoir outflow quality and quantity objectives. The approach was applied to Alavian reservoir and its watershed, in Iran, for a 6-year time horizon. The results show the proposed approach could reduce reservoir outflow phosphorus concentration while increasing downstream water supply. The implemented BMPs outperformed the reservoir operational strategy in terms of reservoir outflow quality reducing outflow phosphorus concentration up to 45% comparing with current conditions. Among the four applied BMPs, filter strips had more effect on reducing nutrient loads. | ||
| کلیدواژهها | ||
| Best Management Practices (BMPs)؛ Coupled simulation-optimization model؛ Reservoir Operational Strategy؛ Selective Withdrawal؛ Watershed-Reservoir System | ||
| مراجع | ||
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Abbaspour, K.C., Yang, J., Maximov, I., Siber, R., Bogner, K., Mieleitner, J., Zobrist, J. & Srinivasan, R., 2007. Spatially distributed modeling of hydrology and water quality in the prealpine/alpine Thur watershed using SWAT. Journal of Hydrology, 333, 413-430.
Alami, M.T., Abbasi, H., Niksokhan, M.H. & Zarghami, M., 2018. Charged system search for optimum design of cost-effective structural best management practices for improving water quality. International Journal of Optimization in Civil Engineering, 8(2), 295-309.
Arabi, M., Frankenberger, J.R., Engel, B.A. & Arnold, J.G., 2008 Representation of agricultural conservation practices with SWAT. Hydrological Processes, 22(16), 3042-55.
Arabi, M., Govindaraju, R.S. & Hantush, M.M., 2006. Cost-effective allocation of watershed management practices using a genetic algorithm. Water Resources Research, AGU: 42, 1-4.
Arnold, J.G., Srinivasan, R., Muttiah, R.S. & Williams, J.R., 1998 Large area hydrologic modeling and assessment – Part 1: Model development. Journal American Water Resources Association, 34(1), 73-89.
Castelletti, A., Pianosi, F. & Soncini-Sessa, R., 2008. Water reservoir control under economic, social, and environmental constraints. Automatica, 44(6), 1595- 1607.
Castelletti, A., Yajima, H., Giuliani, M., Soncini-Sessa, R. & Weber, E., 2014. Planning the optimal operation of a multi-outlet water reservoir with water quality and quantity targets. Journal of Water Resources Planning and Management, 140(4), 496-510.
Ciou, S.K., Kuo, J.T., Hsieh, P.H. & Yu, G.H., 2012. Optimization model for BMP placement in a reservoir watershed. Journal of irrigation and drainage engineering, 138(8), 736-747.
Coello Coello, A.C., Pulido, G.T. & Lechuga, M.S., 2004. Handling multiple objectives with particle swarm optimization. IEEE Transactions on Evolutionary Computation, 8(3), 256-279.
Cole, T.M. & Wells, S.A., 2015 CE-QUAL-W2: A Two- dimensional, laterally averaged, hydrodynamic and water quality model, Version 3.72 user’s manual. Washington, DC: US Army Corps of Engineers.
Dhar, A. & Datta, B., 2008. Optimal operation of reservoirs for downstream water quality control using linked simulation optimization. Hydrological Processes, 22, 824-853.
Gitau, M., Veith, T., Gburek, W. & Jarrett, A., 2006. Watershed level best management practice selection and placement in the town brook watershed. Journal American Water Works Association, 42(6), 1565- 1581.
Gupta, H.V., Sorooshian, S. and Yapo, P.O., 1999. Status of automatic calibration for hydrologic models: Comparison with multilevel expert calibration. Journal of Hydrology Engineering, 4(2), 135-143.
Kaini, P., Artita, K. & Nicklow, J.W., 2012. Optimizing structural best management practices using SWAT and genetic algorithm to improve water quality goals. Water Resources Management, 26, 1827-1845.
Kamali, A. & Niksokhan, M.H., 2017. Multi-objective optimization for sustainable groundwater management by developing of coupled quantity- quality simulation-optimization model. Journal of Hydroinformatics, 19(6), 973-992.
Karamouz, M., Taheriyoun, M., Baghvand, A., Tavakolifar, H. & Emami, F., 2010. Optimization of watershed control strategies for reservoir eutrophication management. Journal of Irrigation and Drainage Engineering-ASCE, 136(12), 847-861.
Kennedy, J. & Eberhart, R.C., 1995. Particle swarm optimization. In Proceedings of the IEEE international conference on neural networks Vol.IV, Perth, Australia, 1942-1948.
Mahab Ghodss Consulting Engineering Company (MG), 1990. Report of Alavian dam project. Tehran, Iran.
Maringanti, C., Chaubey, I., Arabi, M. & Engel, B., 2008. A multi-objective optimization tool for the selection and placement of BMPs for pesticide control. Hydrology and Earth System Sciences, 5, 1821-1862.
Moriasi, D.N., Arnold, J.G., Van Liew, M.W., Bingner, R.L., Harmel, R.D. & Veith, T.L., 2007. Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Transactions of the American Society of Agricultural and Biological Engineers, 50(3), 885-900.
Motovilov, Y.G., Gottschalk, L., Engeland, K. & Rodhe, A., 1999. Validation of distributed hydrological model against spatial observations. Agricultural and Forest Meteorology, 98, 257-277.
Nash, J.E. & Sutcliffe, J.V., 1970. River flow forecasting through conceptual models. Part 1-A discussion of principles. Journal of Hydrology, 10(3), 282-290.
Parajuli, P., 2012. Evaluation of spatial variability on hydrology and nutrient source loads at watershed scale using a modeling approach. Hydrology Research, 43(6), 808-821.
Saadatpour, M., Afshar, A. & Edinger, J.E., 2017. Meta- model assisted 2D hydrodynamic and thermal simulation model (CE-QUAL-W2) in deriving optimal reservoir operational strategy in selective withdrawal scheme. Water Resources Management, 31(9), 2729-2744.
Schardong, A., Slobodan, P., Vasan, A. and Simonovic, S.P., 2012. A multi-objective evolutionary approach to optimal reservoir operation. Journal of Computing in Civil Engineering, 27(2), 139-147.
Sedki, A. & Ouazar, D., 2011. Swarm intelligence for groundwater management optimization. Journal of Hydroinformatics, 13(3), 520-532.
Shirangi, E., Kerachian, R. & Shafai Bajestan, M., 2008. A simplified model for reservoir operation considering the water quality issues: Application of the Young Conflict Resolution Theory. Environmental Monitoring and Assessment, 146, 77- 89. Singh, A., 2014.
Simulation and optimization modeling for the management of groundwater resources. II: Combined applications. Journal of Irrigation and Drainage Engineering, 140(4), 04014002.
Soleimani, S., Bozorghaddad, O., Saadatpour, M. & Loáiciga, H., 2016. Optimal selective withdrawal rules using a coupled data mining model and genetic algorithm. Journal of Water Resources Planning and Management, 142(12), 04016064.
U.S. EPA, 2000. Nutrient criteria technical guidance manual: lakes and reservoirs. EPA-822-B00-001, Washington, D.C.
Wang, S.H., Huggins, D.G., Frees, L., Volkman, C.G., Lim, N.C., Baker, D.S. & denoyelles, F., 2005. An integrated modeling approach to total watershed management: water quality and watershed assessment of Cheney Reservoir, Kansas, USA. Water, Air, and Soil Pollution, 164(1), 1-19.
Wu, J., Yu, S. & Zou, R., 2006. A water quality-based approach for watershed wide BMP strategies. Journal of American Water Works Association, 42(5), 1193- 1204.
Yazdi, J. & Moridi, A., 2017. Interactive Reservoir- Watershed Modeling Framework for Integrated Water Quality Management. Water Resources Management, 31(7), 2105-2125.
Zhu, H., Li, Y., Liu, Z., Shi, X., Fu, B. & Xing, Z., 2015. Using SWAT to simulate streamflow in Huifa River basin with ground and Fengyun precipitation data. Journal of Hydroinformatics, 17(5), 834-844. | ||
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