Estimating Return-Flow Fractions at the River Basin Scale Using Automatic Calibration of MODSIM
Publication: Journal of Irrigation and Drainage Engineering
Volume 142, Issue 8
Abstract
Estimating the return-flow fractions of different consumptive water uses for the effective management of water resource allocation and operation in a river basin is an essential issue. The purpose of this study was to estimate the return-flow fractions of domestic, industrial, and agricultural water demands, as well as to determine the contributed inflow from the return flows into surface and groundwater resources. This was done through the automatic calibration of a river basin software program, in conjunction with a genetic meta-search calibration algorithm. In this study, the calibration of parameters was made possible by using the customization features of the model. Calibration was done for three combinations of the objective functions. The results of the study demonstrated that the best and most logical results occurred in the third condition, which was a calibration by the objective function, including the root-mean-square error (RMSE) of the river basin’s outflow and the RMSE of the aquifer’s level. The fractions of the return flow from domestic, industrial, and agricultural demands in the case study of the Shian Basin in western Iran, were obtained as 87, 76, and 18%, respectively.
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References
Alimohammadi, S., Afshar, A., and Marino, A. M. (2009). “Cyclic storage systems optimization: Semidistributed parameter approach.” J. Am. Water Works Assoc., 101(2), 90–103.
Assata, H., et al. (2008). “Generic simulation models for facilitating stakeholder involvement.” Environmental modelling, software and decision support: The state of the art and new perspective, A. J. Jakeman, A. A. Voinov, A. E. Rizzoli, and S. H. Chen, eds., Elsevier, Amsterdam, Netherlands, 229–246.
Caramia, M., and Dell’Olmo, P. (2008). “Multi-objective optimization.” Multi-objective management in freight logistics; increasing capacity, service level and safety with optimization algorithms, Springer, Berlin, 1–187.
Confesor, R. B., Jr., and Whittaker, G. W. (2007). “Automatic calibration of hydrologic models with multi-objective evolutionary algorithm and pareto optimization.” J. Am. Water Resour. Assoc., 43(4), 981–989.
Dewandel, B., Gandolfi, J.-M., de Condappa, D., and Ahmed, S. (2008). “An efficient methodology for estimating irrigation return flow coefficients of irrigated crops at watershed and seasonal scale.” Hydrol. Process., 22(11), 1700–1712.
Gassert, F., Landis, M., Luck, M., Reig, P., and Shiao, T. (2013). “Aqueduct global maps 2.0.” 〈http://www.wri.org/publication/aqueduct-metadata-global〉 (Dec. 10, 2015).
Gen, M., and Cheng, R. (2000). Genetic algorithms and engineering optimization, Wiley, Hoboken, NJ, 495.
Goldberg, D. E. (1989). Genetic algorithms in search, optimization and machine learning, Addison-Wesley, Reading, MA.
Gosain, A. K., Rao, S., Srinivasan, R., and Reddy, G. N. (2005). “Return-flow asseement for irrigation command in the Palleru river basin using SWAT model.” Hydrol. Process., 19(3), 673–682.
Grafton, R. Q., and Hussey, K. (2007). “Buying back the Murray: At what price?” Aust. J. Environ. Manage., 14(2), 74–81.
Hayes, L., and Horn, M. A. (2009). “Methods for estimating withdrawal and return flow by census block for 2005 and 2020 for New Hampshire.” 〈http://pubs.usgs.gov/of/2009/1168〉 (Dec. 15, 2015).
Hoekstra, A. Y., Savenije, H. H. G., and Chapagain, A. K. (2001). “An integrated approach towards assessing the value of water: A case study on the Zambezi basin.” Integr. Assess., 2(4), 199–208.
Hornbuckle, J. W., et al. (2005). “Predicting irrigation return flows to river systems: Conceptualisation and model development of an irrigation area return flow mode.” Proc., MODSIM 2005 Int. Congress on Modelling and Simulation, A. Zerger and R. M. Argent, eds., Modelling and Simulation Society of Australia and New Zealand, 2700–2706.
Ilich, N. (1993). “Improvement of the return flow allocation in the water resources management model of Alberta environment.” Can. J. Civ. Eng., 20(4), 613–621.
Iran Ministry of Energy. (2010). “National comprehensive plan of water.” Tehran, Iran.
Karimi, A., and Ardakanian, R. (2006). “The application of finite elements in water resources management: FEWREM models and software.” Iran’s Water Resour. Res., 2(2), 1–14 (in Persian).
Karimi, S. (2011). “Comparison of WEAP and MODSIM models in primate allocation of water resources in the catchment.” M.Sc. thesis, Amirkabir Univ. of Technology, Tehran, Iran (in Persian).
Kim, H. H., Jang, T. I., Im, S. W., and Park, S. W. (2009). “Estimation of irrigation return flow from paddy fields considering the soil moisture.” Agric. Water Manage., 96(5), 875–882.
Labadie, J. W. (2010). “MODSIM 8.1: River basin management decision support system: User manual and documentation.” Colorado State Univ. and U.S. Bureau of Reclamation, Fort Collins, CO, 1–130.
Liu, C. P., Tesi, W. H., Hsien, K. C., and Tao, F. T. (2010). “Investigation, assessment and operation management of the reuse of agriculture return water in Taiwan.” Proc., 61st Int. Executive Council Meeting & 6th Asian Regional Conf., Yogyakarta, Indonesia.
MacDonald, D. H., Lamontagne, S., and Connor, J. (2005). “The economics of water: Taking full account of first use, reuse and the return to the environment.” Irrig. Drain., 54(S1), P93–P102.
MacLean, A. J. (2009). “Calibration and analysis of the MESH hydrological model applied to cold regions.” M.Sc. thesis, Univ. of Waterloo, ON, Canada, 1–129.
Moradkhani, H., and Sorooshian, S. (2008). “General review of rainfall-runoff modeling: Model calibration, data assimilation, and uncertainty analysis.” S. Sorooshian, K. I. Hsu, E. Coppola, B. Tommasseti, M. Verdecchia, and G. Visconti, eds., Hydrological modeling and the water cycle: Coupling the atmospheric and hydrological models, Springer, Berlin, 1–291.
Nicklow, J., et al. (2010). “State of the art genetic algorithms and beyond water resources planning and management.” J. Water Resour. Plann. Manage., 412–432.
Perry, C. (2007). “Efficient irrigation; inefficient communication; flawed recommendations.” Irrig. Drain., 56(4), 367–378.
Pongkijvorasin, S., and Roumasasset, J. (2007). “Optimal conjunctive use of surface and ground water with recharge and return flows: Dynamic and spatial patterns.” Rev. Agric. Econ., 29(3), 531–539.
Qureshi, M. E., Schwabe, K., Connor, J., and Kirby, M. (2010). “Environmental water incentive policy and return flows.” Water Resour. Res., 46(4), W04517.
Razali, N. M., and Geraghty, J. (2011). “Genetic algorithm performane with different selection strategies in solving TSP.” Proc., World Congress on Engineering 2011 Vol. II, WCE 2011, International Association of Engineers (IAENG), Hong Kong.
Schiffler, M. (1998). The economics of groundwater management in arid countries; theory, international experience and a case study of Jordan, Frank Class Publisher, London.
Shiklomanov, A. I. (2000). “Appraisal and assessment of world water resources.” Water Int., 25(1), 11–32.
Simons, G. W. H., Bastiaanssen, W. G. M., and Immerzeel, W. W. (2015). “Water reuse in river basins with multiple users: A literature review.” J. Hydrol., 522(2015), 558–571.
Talebi Hossein Abad, F., Shahedi, M., Velaayati, S., and Davary, K. (2014). “An estimation of renewable water using water budget model in the absence of adequate data.” J. Geogr. Reg. Dev., 12(22), 129–150 (in Persian).
Taylor, R. G., Schmidt, R. D., Stodick, L., and Contor, B. A. (2014). “Modeling conjunctive water use as a reciprocal externality.” Am. J. Agric. Econ., 96(3), 753–768.
Wurbs, R. A. (1994). “Computer models for water resources planning and management.” U.S. Army Corps of Engineers Institute for Water Resources Water Resources Support Center, Alexandria, VA, 1–227.
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Published In
Journal of Irrigation and Drainage Engineering
Volume 142 • Issue 8 • August 2016
Copyright
© 2016 American Society of Civil Engineers.
History
Received: Aug 26, 2015
Accepted: Jan 20, 2016
Published online: Apr 7, 2016
Published in print: Aug 1, 2016
Discussion open until: Sep 7, 2016
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