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Quantitative and Qualitative Optimization of Water Allocation in No Bandegan Aquifer using an Agent-based Approach

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Iranian Journal of Science and Technology, Transactions of Civil Engineering Aims and scope Submit manuscript

Abstract

In this article, the GMS finite difference simulation of “No Bandegan (NB) Plain” aquifer has been studied. The groundwater flow path and intensity in the plain have been simulated by modeling input to and output from the aquifer. Spatial distributions of four major pollutants have been determined by groundwater sampling at different piezometers and wells throughout the plain. Discharge withdrawal from wells, water quality parameters, and water table drop were simulated repeatedly pursuant to the constraints defined by an (artificial neural network) ANN. The validated ANN was then linked to a multi-objective optimization model to find a Pareto optimal front among the three objectives of enhancing water quality, increasing equity in withdrawal allocation, and reducing water table drawdown. Results were optimized in an agent-based (A-B) approach seeking quantitative and qualitative management of water allocation in the plain. The optimization process caused a reduction in annual water table decline by up to 68% compared to observed drawdowns in the plain. Similarly, the proposed method improved groundwater quality as indexed by pH, TH, TDS, and EC parameters by 8.8, 27.7, 28.4, 25.5%, relative to their observed values, respectively.

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Authors and Affiliations

  1. Department of Environmental Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

    S. A. B. Elhamian & A. H. Javid

  2. Department of Civil & Environmental Engineering, Shiraz University, Shiraz, Iran

    Gh. Rakhshandehroo

Authors
  1. S. A. B. Elhamian
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  2. Gh. Rakhshandehroo
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  3. A. H. Javid
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Correspondence to Gh. Rakhshandehroo.

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Elhamian, S.A.B., Rakhshandehroo, G. & Javid, A.H. Quantitative and Qualitative Optimization of Water Allocation in No Bandegan Aquifer using an Agent-based Approach. Iran J Sci Technol Trans Civ Eng 46, 523–534 (2022). https://doi.org/10.1007/s40996-021-00656-1

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