免疫粒子群算法优化的环境空气质量评价方法

Environmental air quality assessment method based on immune optimization algorithms with particle swarm

为了提高免疫算法的收敛速度,将粒子群优化思想引入到免疫算法中,设计了一种免疫粒子群优化算法。采用该算法对大气污染损害公式的参数进行寻优,得到了适用于臭氧、PM2.5等6种大气污染物的环境空气质量评价的污染损害指数公式及环境空气质量评价模型。为了使评价结果更准确,采用了国家环保部最新发布的空气质量标准中给出的大气污染物种类、数目及各级浓度限值。将该评价方法应用于大气质量评价领域,实验结果表明,该方法评价结果准确,具有较好的灵活性、实用性和应用前景。

To increase evolution speed of immune algorithm, the idea of particle swarm optimization is in- volved into original immune algorithm, and the immune optimization algorithm with particle swarm is proposed. The formula of pollution harm index and assessment model of environmental air quality, which are suitable to six pollutants including 03, PM2.5 and etc, are derived by using the algorithm proposed in this paper to optimize the parameters in the formula. In order to obtain correct assessment result, the air pollutants kinds, number and concentration limit used in this paper are from the Ambient air quality standards issued lately by Ministry of Envi- ronmental Protection of China. The assessment method proposed in this paper is applied to the field of air quality assessment. The experimental results show that the method has correct results, good flexibility, practicability and application perspective.