Evaluation of Climatic-Change Impacts on Multiobjective Reservoir Operation with Multiobjective Genetic Programming
Publication: Journal of Water Resources Planning and Management
Volume 141, Issue 11
Abstract
Multiobjective genetic programming is used to calculate optimal reservoir-operating rules under baseline and climatic-change conditions. The rules are calculated based on river inflows to the Aidoghmoush Reservoir (located in East Azerbaijan, Iran), storage volume, and downstream irrigation demands. The objective functions are the maximization of the reliability of meeting irrigation demand and the minimization of the vulnerability to irrigation deficits in a baseline period (1987–2000) and a future period (2026–2039), the latter influenced by climatic change. The optimization results show that reservoir-operating rules that take into account changing climate would lead to improvements in reservoir performance on the order of 29–32% relative to operating rules based on baseline climatic conditions.
Get full access to this article
View all available purchase options and get full access to this article.
References
Ashofteh, P.-S., Bozorg Haddad, O., Akbari-Alashti, H., and Mariño, M. A. (2015a). “Determination of irrigation allocation policy under climate change by genetic programming.” J. Irrig. Drain. Eng., 04014059.
Ashofteh, P.-S., Bozorg Haddad, O., and Mariño, M. A. (2013a). “Climate change impact on reservoir performance indices in agricultural water supply.” J. Irrig. Drain. Eng., 85–97.
Ashofteh, P.-S., Bozorg Haddad, O., and Mariño, M. A. (2013b). “Scenario assessment of streamflow simulation and its transition probability in future periods under climate change.” Water Resour. Manage., 27(1), 255–274.
Ashofteh, P.-S., Bozorg Haddad, O., and Mariño, M. A. (2015b). “Risk analysis of water demand for agricultural crops under climate change.” J. Hydrol. Eng., 04014060.
Bozorg Haddad, O., Adams, B. J., and Mariño, M. A. (2008). “Optimum rehabilitation strategy of water distribution systems using the HBMO algorithm.” J. Water Supply: Res. Technol.—AQUA, 57(5), 327–350.
Bozorg Haddad, O., Afshar, A., and Mariño, M. A. (2011a). “Multireservoir optimisation in discrete and continuous domains.” Proc. ICE—Water Manage., 164(2), 57–72.
Bozorg Haddad, O., Ashofteh, P.-S., and Mariño, M. A. (2015). “Levee’s layout and design optimization in protection of flood areas.” J. Irrig. Drain. Eng., 04015004.
Bozorg Haddad, O., Ashofteh, P.-S., Rasoulzadeh-Gharibdousti, S., and Mariño, M. A. (2014). “Optimization model for design-operation of pumped-storage and hydropower systems.” J. Energy Eng., 04013016.
Bozorg Haddad, O., and Mariño, M. A. (2011). “Optimum operation of wells in coastal aquifers.” Proc. ICE—Water Manage., 164(3), 135–146.
Bozorg Haddad, O., Mirmomeni, M., and Mariño, M. A. (2010a). “Optimal design of stepped spillways using the HBMO algorithm.” Civ. Eng. Environ. Syst., 27(1), 81–94.
Bozorg Haddad, O., Mirmomeni, M., Zarezadeh Mehrizi, M., and Mariño, M. A. (2010b). “Finding the shortest path with honey-bee mating optimization algorithm in project management problems with constrained/unconstrained resources.” Comput. Optim. Appl., 47(1), 97–128.
Bozorg Haddad, O., Moradi-Jalal, M., and Mariño, M. A. (2011b). “Design-operation optimisation of run-of-river power plants.” Proc. ICE—Water Manage., 164(9), 463–475.
Bozorg Haddad, O., Moradi-Jalal, M., Mirmomeni, M., Kholghi, M. K. H., and Mariño, M. A. (2009). “Optimal cultivation rules in multi-crop irrigation areas.” Irrig. Drain., 58(1), 38–49.
Doorenbos, J., and Pruitt, W. O. (1992). “Guidelines for predicting crop water requirements.” Irrigation and drainage (FAO), paper 24, Food and Agricultural Organization of the United Nations, Rome.
Eum, H. I., Vasan, A., and Simonovic, S. P. (2012). “Integrated reservoir management system for flood risk assessment under climate change.” Water Resour. Manage., 26(13), 3785–3802.
Fallah-Mehdipour, E., Bozorg Haddad, O., Beygi, S., and Mariño, M. A. (2011a). “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., and Mariño, M. A. (2011b). “MOPSO algorithm and its application in multipurpose multireservoir operations.” J. Hydroinf., 13(4), 794–811.
Fallah-Mehdipour, E., Bozorg Haddad, O., and 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., and Mariño, M. A. (2013a). “Developing reservoir operational decision rule by genetic programming.” J. Hydroinf., 15(1), 103–119.
Fallah-Mehdipour, E., Bozorg Haddad, O., and Mariño, M. A. (2013b). “Extraction of multicrop planning rules in a reservoir system: Application of evolutionary algorithms.” J. Irrig. Drain. Eng., 490–498.
Fallah-Mehdipour, E., Bozorg Haddad, O., and Mariño, M. A. (2013c). “Prediction and simulation of monthly groundwater levels by genetic programming.” J. Hydro-Environ. Res., 7(4), 253–260.
Fallah-Mehdipour, E., Bozorg Haddad, O., Rezapour Tabari, M. M., and Mariño, M. A. (2012b). “Extraction of decision alternatives in construction management projects: Application and adaptation of NSGA-II and MOPSO.” Expert Syst. Appl., 39(3), 2794–2803.
Ferreira, A. R., and Taeegavarapu, R. S. V. (2012). “Optimal and adaptive operation of a hydropower system with unit commitment and water quality constraints.” Water Resour. Manage., 26(3), 707–732.
Georgakakos, A. P., et al. (2012). “Value of adaptive water resources management in northern California under climatic variability and change: Reservoir management.” J. Hydrol., 412(4), 34–46.
Gordon, C., et al. (2000). “The simulation of SST, sea ice extents and ocean heat transports in a version of the Hadley Centre coupled model without flux adjustments.” Clim. Dyn., 16(2–3), 147–168.
Guo, Y., Keedwell, E. C., Walters, G. A., and Khu, S.-T. (2007). “Hybridizing cellular automata principles and NSGAII for multi-objective design of urban water networks.” Evolutionary multi-criterion optimization, Vol. 4403, Springer, Berlin, 546–559.
Intergovernmental Panel on Climate Change. (2000). Emission scenarios, Cambridge University Press, Cambridge, U.K.
Jakeman, A. J., and Hornberger, G. M. (1993). “How much complexity is warranted in a rainfall-runoff model?” Water Resour. Res., 29(8), 2637–2649.
Kang, D., and Lansey, K. (2010). “Optimal meter placement for water distribution system state estimation.” J. Water Resour. Plann. Manage., 337–347.
Karimi-Hosseini, A., Bozorg Haddad, O., and Mariño, M. A. (2011). “Site selection of raingauges using entropy methodologies.” Proc. ICE—Water Manage., 164(7), 321–333.
Khan, N. M., Babel, M. S., Tingsanchali, T., Clemente, R. S., and Luong, H. T. (2012). “Reservoir optimization-simulation with a sediment evacuation model to minimize irrigation deficits.” Water Resour. Manage., 26(11), 3173–3193.
Khan, N. M., and Tingsanchali, T. (2009). “Optimization and simulation of reservoir operation with sediment evacuation: A case study of the Tarbela Dam, Pakistan.” Hydrol. Processes, 23(5), 730–747.
Leon, A. S., Kanashiro, E. A., Valverde, R., and Sridhar, V. (2014). “Dynamic framework for intelligent control of river flooding: Case study.” J. Water Resour. Plann. Manage., 258–268.
Li, M., Guo, P., and Ren, C. (2015). “Water resources management models based on two-level linear fractional programming method under uncertainty.” J. Water Resour. Plann. Manage., 05015001.
Mantoglou, A., and Kourakos, G. (2012). “Optimal ground water remediation under uncertainty using multi-objective optimization.” Water Resour. Manage., 21(5), 835–847.
Minville, M., Brissette, F., Krau, S., and Leconte, R. (2009). “Adaptation to climate change in the management of a Canadian water-resources system exploited for hydropower.” Water Resour. Manage., 23(14), 2965–2986.
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.
Orouji, H., Bozorg Haddad, O., Fallah-Mehdipour, E., and Mariño, M. A. (2013). “Estimation of Muskingum parameter by meta-heuristic algorithms.” Proc. ICE—Water Manage., 166(6), 315–324.
Overman, E. (2011). “A MATLAB tutorial.” Dept. of Mathematics, Ohio State Univ., Columbus, OH.
Raje, D., and Mujumdar, P. P. (2010). “Reservoir performance under uncertainty in hydrologic impacts of climate change.” Adv. Water Resour., 33(3), 312–326.
Redy, M. J., and Kumar, D. N. (2008). “Evolving strategies for crop planning and operation of irrigation reservoir system using multi-objective differential evolution.” Irrig. Sci., 26(2), 177–190.
Rezapour Tabari, M. M., and Soltani, J. (2012). “Multi-objective optimal model for conjunctive use management using SGAs and NSGA-II models.” Water Resour. Manage., 27(1), 37–53.
Seifollahi-Aghmiuni, S., Bozorg Haddad, O., Omid, M. H., and Mariño, M. A. (2011). “Long-term efficiency of water networks with demand uncertainty.” Proc. ICE—Water Manage., 164(3), 147–159.
Seifollahi-Aghmiuni, S., Bozorg Haddad, O., Omid, M. H., and Mariño, M. A. (2013). “Effects of pipe roughness uncertainty on water distribution network performance during its operational period.” Water Resour. Manage., 27(5), 1581–1599.
Shafiee, M. E., Kandiah, V. K., and Zechman, E. M. (2013). “Applying multi-objective Niching co-evolutionary algorithm to generate insight for water resources management problems.” World Environmental and Water Resources Congress, ASCE, Reston, VA, 2322–2328.
Shokri, A., Bozorg Haddad, O., and Mariño, M. A. (2013). “Algorithm for increasing the speed of evolutionary optimization and its accuracy in multi-objective problems.” Water Resour. Manage., 27(7), 2231–2249.
Silva, S. (2007). GPLAB: A genetic programming toolbox for MATLAB, version 3, Univ. of Coimbra, Coimbra, Portugal, 13–15.
Sivapragasam, C., Mahewaran, R., and Venkatesh, V. (2008). “Genetic programming approach for flood routing in natural channels.” Hydrol. Processes, 22(5), 623–628.
Sivapragasam, C., Vasudevan, G., Maran, J., Bose, C., Kaza, S., and Ganesh, N. (2009). “Modeling evaporation-seepage losses for reservoir water balance in semi-arid regions.” Water Resour. Manage., 23(5), 853–867.
Wang, W. C., Chau, K. W., Cheng, C. T., and Qiu, L. (2009). “A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series.” J. Hydrol., 374(3–4), 294–306.
Wilby, R. L., and Harris, I. (2006). “A framework for assessing uncertainties in climate change impacts: Low-flow scenarios for the river Thames, U.K.” Water Resour. Res., 42(2), W02419.
Yang, C.-C., Chang, L.-C., and Chen, C.-S., and Yeh, M.-S. (2009). “Multi-objective planning for conjunctive use of surface and subsurface water using genetic algorithm and dynamics programming.” Water Resour. Manage., 23(3), 417–437.
Yang, C.-C., Chang, L.-C., Yeh, C.-H., and Chen, C.-S. (2007). “Multi objective planning of surface water resources by multi objective genetic algorithm with constrained differential dynamic programming.” J. Water Resour. Plann. Manage., 499–508.
Information & Authors
Information
Published In
Journal of Water Resources Planning and Management
Volume 141 • Issue 11 • November 2015
Copyright
© 2015 American Society of Civil Engineers.
History
Received: Jul 27, 2014
Accepted: Feb 23, 2015
Published online: Jun 8, 2015
Published in print: Nov 1, 2015
Discussion open until: Nov 8, 2015
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.