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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

27 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)2771-2784
Number of pages14
JournalWater Resources Management
Volume27
Issue number8
DOIs
Publication statusPublished - Jun 2013

Keywords

  • Integrated water and waste load allocation
  • Regression tree Induction
  • Support Vector Regression
  • Water quantity-quality management
  • Zayandehrood dam sub-basin

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Water Science and Technology

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