Inverse modeling of variable-density groundwater flow in a semi-arid area in Iran using a genetic algorithm |
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| Authors: | Mehrdad Bastani Majid Kholghi Gholam Reza Rakhshandehroo |
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| Institution: | 1. Department of Civil Engineering, University of Shiraz, Namazi Sq., Zand Ave., Shiraz, 71348-51156, Iran
2. Water Eng. Dept., Faculty of Soil & Water Engineering, University of Tehran, Daneshkadeh Ave., Karaj, 31587-77871, Iran
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| Abstract: | Flow and mass transport parameter estimation was done by creating an inverse model of a seawater intrusion system using a genetic algorithm (GA) method as the optimization procedure. Firstly, the SEAWAT code was used for the forward solution part and then a program was written in MATLAB for coupling the forward and inverse processes. The auto-calibration objective function was defined with the root mean square errors (RMSE) between the observed and the simulated values. A simple GA was used to minimize the RMSE criterion. The methodology was applied to a coastal aquifer with heterogeneous formations in a semi-arid area near salty Tashk Lake (electrical conductivity 61,420 µS/cm), Fars province, Iran. In the last two decades, the overexploitation of groundwater has caused a major water level drawdown and, consequently, salt-water intrusion. Firstly, flow and transport parameters (hydraulic conductivity, porosity, specific storage coefficient and longitudinal dispersivity) were estimated simultaneously in steady-state and, secondly, in the developed code, these results were used as initial values of the parameters in transient-state. Results show a good match for observed and simulated data. It can be concluded that GA is a helpful tool for automatic calibration of variable density fluid systems such as seawater intrusion cases. |
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