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| Simulation-optimization model of identification of groundwater pollution sources based on two coupling method |
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Abstract This paper presents a study of groundwater pollution sources identification using simulation-optimization model based on the Genetic Algorithm. The simulation-optimization model was coupled with response matrix approach and state transition equation method, which was solved with genetic algorithm, and the minimum error between the simulated results and the observed data was obtained after multiple iteration. The performance of the model was evaluated with a hypothetical example. The simulated results indicate that the absolute error of response matrix approach and state transition equation method was 0.1~1.6g/L and was 0~5.2g/L, respectively. It proves that the simulation-optimization model based on the genetic algorithm for identifying single groundwater pollution source was feasible. Also, response matrix approach was superior to the state transition equation method.
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Received: 11 November 2014
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