TY - JOUR
T1 - Rules for Optimal Operation of Reservoir-River-Groundwater Systems Considering Water Quality Targets
T2 - Application of M5P Model
AU - Nikoo, Mohammad Reza
AU - Karimi, Akbar
AU - Kerachian, Reza
AU - Poorsepahy-Samian, Hamed
AU - Daneshmand, Farhang
N1 - Funding Information:
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.
PY - 2013/6
Y1 - 2013/6
N2 - 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.
AB - 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.
KW - Integrated water and waste load allocation
KW - Regression tree Induction
KW - Support Vector Regression
KW - Water quantity-quality management
KW - Zayandehrood dam sub-basin
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U2 - 10.1007/s11269-013-0314-3
DO - 10.1007/s11269-013-0314-3
M3 - Article
AN - SCOPUS:84877005002
SN - 0920-4741
VL - 27
SP - 2771
EP - 2784
JO - Water Resources Management
JF - Water Resources Management
IS - 8
ER -
