Restoration Management of Groundwater Resources Using the Combined Model of Numerical Simulation– Evolutionary Ant Colony Optimization

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Saghi Jadid M.; KETABCHI H.

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Paper Information

Journal: IRAN-WATER RESOURCES RESEARCH Year:2019 | Volume:15 | Issue:2 Page(s): 119-133

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Title

Restoration Management of Groundwater Resources Using the Combined Model of Numerical Simulation– Evolutionary Ant Colony Optimization

Author(s)

Saghi Jadid M. | KETABCHI H. | Issue Writer Certificate

Keywords

Namdan AquiferQ1

Numerical ModelQ1

Optimization AlgorithmQ1

StabilityQ1

Filling and Restoration IndicesQ1

Abstract

Groundwater storages are the main sources of water in Iran. With the developments in technology, utilization of these resources has been severely increased over the past few decades so that the extracted water is more than the capacity of renewable water. This has led to depletion in groundwater levels, deterioration of these resources and its associated negative consequences. Hence, the proper management of these valuable resources and the sustainability conservation means are of significant importance. For proper management of groundwater resources, decision models can be used with a combined framework of simulation and optimization models. Therefore, in this research, using numerical simulation model (MODFLOW) for a management horizon of ten-years and ant colony Optimization Algorithm, simulation-optimization model for the Namdan Aquifer located in Fars province, Iran, was developed. Three indices of sustainability, filling and restoration of the aquifer are considered to restoration management of groundwater resources in the study area, in line with Iran aquifer restoration plan. Based on the objective of achieving best condition for Stability, filling, and restoration of the aquifer over the management horizon, the results indicated an increase of 3, 9. 5 and 10. 6 m of groundwater level, respectively, compared to the beginning of the management period. This highlighted the necessity of proper selection of objective function considering the main objectives of the management plan and provided the feasibility of assessment on the requirements to implement the plan. Also, the use of three indicators of reliability, utility and vulnerability to examine the results of scenarios showed the best aquifer status under the scenario of applying the restoration index.

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APA: Copy

Saghi Jadid, M., & KETABCHI, H.. (2019). Restoration Management of Groundwater Resources Using the Combined Model of Numerical Simulation– Evolutionary Ant Colony Optimization. IRAN-WATER RESOURCES RESEARCH, 15(2 ), 119-133. SID. https://sid.ir/paper/100227/en

Vancouver: Copy

Saghi Jadid M., KETABCHI H.. Restoration Management of Groundwater Resources Using the Combined Model of Numerical Simulation– Evolutionary Ant Colony Optimization. IRAN-WATER RESOURCES RESEARCH[Internet]. 2019;15(2 ):119-133. Available from: https://sid.ir/paper/100227/en

IEEE: Copy

M. Saghi Jadid, and H. KETABCHI, “Restoration Management of Groundwater Resources Using the Combined Model of Numerical Simulation– Evolutionary Ant Colony Optimization,” IRAN-WATER RESOURCES RESEARCH, vol. 15, no. 2 , pp. 119–133, 2019, [Online]. Available: https://sid.ir/paper/100227/en

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