基于粒子群算法的地下水水质评价模型

Evaluation model of underground water quality based on particle swarm optimization

提出了基于s型生长曲线函数的地下水水质评价的污染损害率公式,并采用粒子群优化算法对水质污染损害率公式中的参数进行优化。将优化好的水质污染损害率公式用于某地20个采样点地下水水质评价,并与其它评价方法的评价结果进行了比较,结果表明公式能较好地用于地下水水质的综合评价,有明确的物理意义,简单适用,并具有一定的普适性。

A pollution harm index formula is presented based on an ＂s-shape＂ curve. The particle swarm optimization algorithms optimize the parameter in the evaluation model of the underground water quality. The model is checked with 20 data and compared with other methods. The results show a good agreement with the reality and reliability. The formula contains the explicit physical meaning.