Abstract
The aim of this paper is to develop rules for optimal reservoir operation and water withdrawal from river and aquifer considering water supply and pollution control targets. The general approach is making use of an integrated water quantity-quality management (IWQM) modeling in conjunction with accurate data mining techniques. The IWQM model generates data, including; optimal releases and water withdrawal from river and aquifer for different conditions, and M5P and Support Vector Regression (SVR) data mining models utilize the results of the IWQM model for the derivation of rules. The IWQM model minimizes the deviation from water supply and water quality targets during the planning horizon. This method for derivation of operating rules is applied to a real world case study, Zayandehrood system, in Iran, with serious water supply and water pollution problems. The IWQM model is analyzed for different hydrologic and water demands scenarios with total dissolved solids (TDS) as the water quality indicator. Results show that an integrated approach to reservoir-river-aquifer operation in the study area can reduce the TDS by 43 % in the downstream river.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Aramaki T, Matsuo T (1998) Evaluation model of policy scenarios for basin-wide water resources and quality management in the tone river, Japan. Water Sci Technol 38(11):59–67
Ayazi A, Karimi A (2011) Assessment of Karkheh multi-reservoir systems’ operation coordinating impacts on long-term water supply at different stages of basin development. Water Engineering Journal, Islamic Azad University – Marvdasht Branch. Article in Press, (In Persian)
Bashi-Azghadi SN, Kerachian R (2010) Locating monitoring wells in groundwater systems using embedded optimization and simulation models. Sci Total Environ 408(10):2189–2198
Bashi-Azghadi SN, Kerachian R, Bazargan-Lari MR, Solouki K (2010) Characterizing an unknown pollution source in groundwater resources systems using PSVM and PNN. Expert Syst Appl 37:7154–7161
Burn DH, Lence BJ (1992) Comparison of optimization formulations for waste-load allocations. J Environ Eng 118(4):597–612
Etemad-Shahidi A, Bonakdar L (2009) Design of rubble-mound breakwaters using M5/machine learning method. Appl Ocean Res 31:197–201
Etemad-Shahidi A, Ghaemi N (2011) Model tree approach for prediction of pile groups scour due to waves. Ocean Eng 38:1522–1527
Huang GH (1996) IPWM: an interval parameter water quality management model. Eng Optim 26(2):79–103
Javier PA, Joaquín AA, Miguel M, Abel S (2010) Water quantity and quality models applied to the Jucar river basin, Spain. Water Resour Manag 24(1):2759–2779
Karamouz M, Zahraie B, Kerachian R (2003) Development of a master plan for water pollution control using MCDM techniques: a case study. Water Int 28(4):478–490
Karimi A (2010) Development of a new water allocation model at the basin scale considering integration of hydrologic, socio-economic properties and their uncertainties. PhD Dissertation, Sharif University of Technology, Civil Engineering Department, Tehran, Iran
Karimi A, Nikoo MR, Kerachian R, Shirangi SE (2011) Assessment of water transport projects impact on long term water supply in Zayandehrood basin by multi-period optimization analysis. Water Research Journal, Shahr-e-Kord University. Article in Press (In Persian)
Li Q, Meng Q, Cai J, Yoshino H, Mochida A (2009) Applying support vector machine to predict hourly cooling load in the building. Applied Energy 86:2249–2256
Management and planning organization (2005) Master plan studies of adaptation to climate change (Balancing the water resources and consumption). water, agriculture and natural resources office, Tehran, Iran
Moeini R, Afshar A, Afshar MH (2011) Fuzzy rule-based model for hydropower reservoirs operation. Electr Power Energy Syst 33(2):171–178
Mousavi SJ, Ponnambalam K, Karray F (2007) Inferring operating rules for reservoir operations using fuzzy regression and ANFIS. Fuzzy Set Syst 158(10):1064–1082
Nahm-Chung J, Popescu I, Kelderman P, Solomatine DP, Price RK (2010) Application of model trees and other machine learning techniques for algal growth prediction in Yong dam reservoir, Republic of Korea. J Hydroinf 12:262–274
Nikoo MR, Kerachian R, Poorsepahy-Samian H (2012a) An interval parameter model for cooperative inter-basin water resources allocation considering the water quality issues. Water Resour Manag 26(11):3329–3343
Nikoo MR, Kerachian R, Karimi A (2012b) A nonlinear interval model for water and waste load allocation in river basins. Water Resour Manag 26(10):2911–2926
Nikoo MR, Kerachian R, Niksokhan MH (2012c) Equitable waste load allocation in rivers using fuzzy Bi-matrix games. Water Resour Manag 26(15):4539–4552
Nikoo MR, Karimi A, Kerachian R (2013a) Optimum water allocation rules in zayandehrood waterbasin considering hydro-system spatio-temporal interactions. 6th International Perspective on Water Resources and Environment (IPWE 2013), January 7–9, Izmir
Nikoo MR, Karimi A, Kerachian R, Bashi-Azghadi SN (2013b) Developing long-term water and waste load allocation rules for river-reservoir-groundwater systems: application of Support Vector Regression. Iran Water and Environment Engineering Journal. Article in Press (In Persian)
Pisinaras V, Petalas C, Tsihrintzis VA, Karatzas GP (2012) Integrated modeling as a decision-aiding tool for groundwater management in a Mediterranean agricultural watershed. Hydrol Process. doi:10.1002/hyp.9331
Poorsepahy-Samian H, Kerachian R, Nikoo MR (2012) Water and pollution discharge permit allocation to agricultural zones: application of game theory and min-max regret analysis. Water Resour Manag 26(14):4241–4257
Qin X, Huang G, Chen B, Zhang B (2009) An interval-parameter waste-load-allocation model for river water quality management under uncertainty. Environ Manag 43:999–1012
Quinlan JR (1992) Learning with continuous classes. Proceedings AI’92, 5th Australian Joint Conference on Artificial Intelligence, Adams & Sterling (eds.), World Scientific, Singapore, 343–348
Vieira J, Cunha MC, Nunes L, Monteiro JP, Ribeiro L, Stigter T, Nascimento J, Lucas H (2011) Optimization of the operation of large-scale multisource water-supply systems. J Wat Resour Plann Mgmt 137(2):150–161
Wang L, Fang L, Hipel KW (2008) Basin-wide cooperative resources allocation. Eur J Oper Res 190(3):798–817
Zhang W, Wang Y, Peng H, Li Y, Tang J, Wu KB (2010) A coupled water quantity–quality model for water allocation analysis. Water Resour Manag 24:485–511
Acknowledgments
This study was financially supported by Islamic Azad University, East-Tehran Brach, Tehran, Iran. A part of this paper has been presented at the 6th International Perspective on Water Resources and Environment, IPWE2013, January 7–9, Izmir, Turkey.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Nikoo, M.R., Karimi, A., Kerachian, R. et al. Rules for Optimal Operation of Reservoir-River-Groundwater Systems Considering Water Quality Targets: Application of M5P Model. Water Resour Manage 27, 2771–2784 (2013). https://doi.org/10.1007/s11269-013-0314-3
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11269-013-0314-3