Determination of Irrigation Allocation Policy under Climate Change by Genetic Programming
This article has a reply.
VIEW THE REPLYThis article has a reply.
VIEW THE REPLYPublication: Journal of Irrigation and Drainage Engineering
Volume 141, Issue 4
Abstract
This paper develops and evaluates rule curves of reservoir operation and compares them for baseline and future periods. The rules are calculated by genetic programming (GP). Also, the rules extracted are based on the rate of inflow, storage volume, and downstream irrigation network demand. The objective function used is the minimization of the average of squared monthly relative deficiencies in the allocation of water to irrigation demand. The study focuses on the reservoir system as well as the downstream irrigation network of Aidoghmoush dam in East Azerbaijan, Iran, under baseline conditions (time interval 1987–2000) and climate change conditions (time interval 2026–2039). To investigate the optimal allocation policy, three operational scenarios are considered: (1) development of current rules under baseline conditions; (2) employment of current rules for future conditions; and (3) development of future rules for future conditions. Results show that the current allocation policy (resulting from current optimal rules) should be modified under climatic change conditions. Also, the investigation indicates that the application of a future optimal allocation policy under future conditions relative to current rules under current conditions decreases (improves) the root-mean-square error (RMSE) and mean absolute error (MAE) performance criteria approximately 29 and 30%, respectively. In addition, efficiency indicators in the optimal allocation of reservoir water are calculated under climate change (policy used in the third operational scenario) and compared with its corresponding values in baseline conditions. Results show that under climate change conditions as compared to the baseline period, indexes of reliability, vulnerability, and resiliency, respectively, decrease 50%, increase 6%, and decrease 14%. Awareness of this issue by planners and decision makers can propel them to reduce the volume of network water requirements. This may be realized through changes, e.g., in the cropping pattern and cultivation area.
Get full access to this article
View all available purchase options and get full access to this article.
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.
Ahmed, J. A., and Sarma, A. K. (2005). “Genetic algorithm for optimal operating policy of a multipurpose reservoir.” Water Resour. Manage., 19(2), 145–161.
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.
Azamathulla, H. M., Wu, F. Ch., Ghani, A. A., Narulkar, S. M., Zakaria, N. A., and Chang, Ch. K. (2008). “Comparison between genetic algorithm and linear programming approach for real time operation.” J. Hydro-environ. Res., 2(3), 172–181.
Bolouri-Yazdeli, Y., Bozorg Haddad, O., Fallah-Mehdipour, E., and Mariño, M. A. (2014). “Evaluation of real-time operation rules in reservoir systems operation.” Water Resour. Manage., 28(3), 715–729.
Bozorg Haddad, O., Adams, B. J., and Mariño, M. A. (2008a). “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. (2008b). “Design-operation of multi-hydropower reservoirs: HBMO approach.” Water Resour. Manage., 22(12), 1709–1722.
Bozorg Haddad, O., Afshar, A., and Mariño, M. A. (2008c). “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., 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. (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.
Doorenbos, J., and Pruitt, W. O. (1984). Guidelines for predicting crop water requirements, Food and Agricultural Organization of the United Nations, Rome, Italy.
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. (2012). “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. (2013). “Extraction of optimal operation rules in aquifer-dam system: A genetic programming approach.” J. Irrig. Drain. Eng., 872–879.
Georgakakos, A. P., et al. (2012). “Value of adaptive water resources management in northern California under climatic variability and change: Reservoir management.” J. Hydrol., 412–413, 34–46.
Ghajarnia, N., Bozorg Haddad, O., and 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.
Hsu, S., Tung, C., Chen, C., and Wang, C. (2004). “Application to reservoir operation rule-curves.” Critical Transitions in Water and Environmental Resources Management, ASCE, Reston, VA, 1–10.
Intergovernmental Panel on Climate Change (IPCC). (2007). “Climate change 2007: The physical science basis.” Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, S. Solomon, et al., eds., 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.
Karamouz, M., and Houck, M. H. (1982). “Annual and monthly reservoir operating rules.” Water Resour. Res., 18(5), 1337–1344.
Karamouz, M., Houck, M. H., and Delleur, J. W. (1992). “Optimization and simulation of multiple reservoir systems.” J. Water Resour. Plann. Manage., 71–81.
Karimi-Hosseini, A., Bozorg Haddad, O., and Mariño, M. A. (2011). “Site selection of rain gauges using entropy methodologies.” Proc. Inst. Civ. Eng. Water Manage., 164(7), 321–333.
Loucks, D. P. (1970). “Some comments on linear decision rules and chance constraints.” Water Resour. Res., 6(2), 668–671.
Loucks, D. P., and Van Beek, E. (2005). Water resources systems planning and management: An introduction to methods, models and applications, UNESCO Publishing, Paris.
MATLAB 9.0 [Computer software]. Natick, MA, MathWorks.
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.
Moradi-Jalal, M., Bozorg Haddad, O., Karney, B. W., and Mariño, M. A. (2007). “Reservoir operation in assigning optimal multi-crop irrigation areas.” Agric. Water Manage., 90(1–2), 149–159.
Mushtaq, S., and Moghaddasi, M. (2011). “Evaluating the potentials of deficit irrigation as an adaptive response to climate change and environmental demand.” Environ. Sci. Policy, 14(8), 1139–1150.
Nagesh Kumar, D., Raju, K., and Ashok, B. (2006). “Optimal reservoir operation for irrigation of multiple crops using genetic algorithms.” J. Irrig. Drain. Eng., 123–129.
Nicklow, J., et al. (2010). “State of the art for genetic algorithms and beyond in water resources planning and management.” J. Water Resour. Plann. Manage., 412–432.
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.
Oliveira, R., and Loucks, D. P. (1997). “Operating rules for multireservoir systems.” Water Resour. Res., 33(4), 839–852.
Overman, E. (2011). A MATLAB tutorial, Dept. of Mathematics, Ohio State Univ., Columbus, OH.
Payne, J. T., Wood, A. W., Hamlet, A. F., Palmer, R. N., and Lettenmaier, P. (2004). “Mitigating the effects of climate change on the water resources of the Columbia river basin.” Clim. Change, 62(1–3), 233–256.
Rasoulzadeh-Gharibdousti, S., Bozorg Haddad, O., and 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., and Mariño, M. A. (2011). “Long-term efficiency of water networks with demand uncertainty.” Proc. Inst. Civ. Eng. Water Manage., 164(3), 147–159.
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.
Soltanjalili, M., Bozorg Haddad, O., and Mariño, M. A. (2011). “Effect of breakage level one in design of water distribution networks.” Water Resour. Manage., 25(1), 311–337.
Information & Authors
Information
Published In
Journal of Irrigation and Drainage Engineering
Volume 141 • Issue 4 • April 2015
Copyright
© 2014 American Society of Civil Engineers.
History
Received: Oct 9, 2013
Accepted: Aug 4, 2014
Published online: Sep 5, 2014
Discussion open until: Feb 5, 2015
Published in print: Apr 1, 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.