Rules for Optimal Operation of Reservoir-River-Groundwater Systems Considering Water Quality Targets: Application of M5P
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Rules for Optimal Operation of Reservoir-River-Groundwater Systems Considering Water Quality Targets: Application of M5P Model Mohammad Reza Nikoo & Akbar Karimi & Reza Kerachian & Hamed Poorsepahy-Samian & Farhang Daneshmand Received: 14 September 2012 / Accepted: 12 February 2013 / Published online: 2 March 2013 # Springer Science+Business Media Dordrecht 2013
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 M. R. Nikoo Department of Civil Engineering, East Tehran Branch, Islamic Azad University, Tehran, Iran e-mail: [email protected] A. Karimi Department of Civil Engineering, Islamic Azad University, East-Tehran Brach, Tehran, Iran e-mail: [email protected] R. Kerachian (*) School of Civil Engineering and Center of Excellence for Engineering and Management of Civil Infrastructures, College of Engineering, University of Tehran, Tehran, Iran e-mail: [email protected] H. Poorsepahy-Samian School of Civil Engineering, College of Engineering, University of Tehran, Tehran, Iran e-mail: [email protected] F. Daneshmand Department of Bioresource Engineering, Faculty of Agricultural and Environmental Sciences, McGill University, Sainte-Anne-de-Bellevue, QC, Canada H9X 3V9 e-mail: [email protected] F. Daneshmand Department of Mechanical Engineering, McGill University, 817 Sherbrooke Street West, Sainte-Anne-de-Bellevue, QC, Canada H3A 2K6
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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. Keywords Integrated water and waste load allocation . Water quantity-quality management . Support Vector Regression . Regression tree Induction . Zayandehrood dam sub-basin
1 Introduction Increasing problems of water pollution in many rivers have encouraged decision makers in the water sector to integrate water quality management with water allocation decision making. Based on this strategy, integrated water quantity-quality modeling has been applied to different water resources problems (Nikoo et al. 2012a, b, c; Poorsepahy-Samian et
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