Optimization method of identification of groundwater pollution sources based on radial basis function model
XIAO Chuan-ning1,2, LU Wen-xi1,2, ZHAO Ying1,2, GU Wen-long1,2
1. Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun 130021, China;
2. College of Environment and Resources, Jilin University, Changchun 130021, China
In the process of optimization method for identification of groundwater pollution sources, computational load resulted from multiple invocations of the numerical simulation model of groundwater is huge. This paper used a surrogate model based on radical basis function to replace groundwater solute transport model, and the surrogate model was embedded in optimization model as a constraint. The optimization model was solved by a genetic algorithm. The performance of the model was evaluated in a hypothetical example. The mean absolute error of release rate of pollution sources was 1.00g/s and the calculation time was 51minutes, so the error and the time consumption were small. Therefore, the optimization method based on radical basis function model can effectively avoid the huge computational load and obtain more accurate results. It is an effective method for identification of groundwater pollution sources, which can be used to solve the release rate of groundwater pollution sources.
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