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Title |
A PSO-based Model for Assessment of Atmospheric Quality |
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Author |
Limin Wang, Yanchun Liang, Ming Li, Xiaohu Shi, Xuming Han |
| Citation |
Vol. 6 No. 3 pp. 76-79 |
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Abstract |
The assessment for atmospheric quality has become the key problem in the study of the quality of atmospheric environment. Supposing the values of parameters of the universal formula for calculating the harm rate of the atmospheric pollution are uniform for different pollutants, the particle swarm optimization (PSO) algorithm is applied to optimize the parameters of the universal formula. We proposed a model based on the particle swarm optimization (PSO) algorithm, which suited to multi-pollutants for assessment of atmospheric quality in this paper. Experimental results show the advantages of the proposed model, such as pellucid principle and physical explication, predigested formula and low computation complexity. Therefore the proposed model in this paper could provide an effective approach for environmental renovation planning and has great potential in the field of the atmospheric quality assessment. |
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Keywords |
Particle swarm optimization, universal formula, pollution harm rate, assessment model. |
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