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黄河三角洲空气质量评价模型
引用本文:张会,李峰,王志刚,杨玉洁,刘随军.黄河三角洲空气质量评价模型[J].滨州学院学报,2012(3):35-38.
作者姓名:张会  李峰  王志刚  杨玉洁  刘随军
作者单位:滨州市环境保护科学技术研究所;滨州市人大常委会城建环保工委;滨州市环境保护监测站
摘    要:运用粒子群算法对空气质量评价的普适模型进行建模,并以此模型对滨州市城区的空气质量现状进行了评价.结果表明,该城市的主要空气污染物为PM10和SO2,环境空气质量随月变化近似为"V"形,总体近于2级.

关 键 词:滨州市  空气质量评价  普适模型  粒子群算法

Air Quality Evaluation Model for Yellow River Delta
ZHANG Hui,LI Feng,WANG Zhi-gang,YANG Yu-jie,LIU Sui-jun.Air Quality Evaluation Model for Yellow River Delta[J].Journal of Binzhou University,2012(3):35-38.
Authors:ZHANG Hui  LI Feng  WANG Zhi-gang  YANG Yu-jie  LIU Sui-jun
Institution:1.Institute of Binzhou Environmental Protection of Shandong province; 2.Standing Committee of Binzhou Municipal Peoples Congress,City Environment Committee; 3.Monitoring Station of Binzhou Environmental Protection of Shandong Province: Binzhou 256600,China)
Abstract:In this paper,it has been established that a universal model is used to evaluate the air quality,by using of particle swarm optimization algorithm.And thus the air quality status of Binzhou City is assessed by the a universal model.The results show that the city’s major air pollutants PM10 and SO2,with the monthly changes of ambient air quality is approximately "V",generally near 2.
Keywords:Binzhou City  air quality evaluation  universal model  particle swarm optimization
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