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基于GA优化算法的平遥县大气环境质量评价研究
引用本文:李萍,赵美微.基于GA优化算法的平遥县大气环境质量评价研究[J].四川环境,2011(4):72-74.
作者姓名:李萍  赵美微
作者单位:山西大学环境科学与环境工程研究中心;山西农业大学资源与环境学院;中国环境管理干部学院生态学系;
摘    要:本文以平遥县城及周边区域环境空气质量监测结果为依据,采用具有全局优化的遗传算法(GA)对平遥县及周边区域大气环境质量污染现状进行评价。用大气污染危害指数的普适公式和参数优化后的污染危害指数公式确定污染危害指数的取值范围与评价级别之间的对应关系,由此得出较符合平遥县及周边区域实际的评价结果,同时针对具体情况对此结果进行简单的分析。

关 键 词:遗传算法  大气环境质量  评价  污染危害指数

Assessment of Atmospheric Environment Quality of Pingyao County Using Optimal GA Algorithm
LI Ping,ZHAO Mei-wei.Assessment of Atmospheric Environment Quality of Pingyao County Using Optimal GA Algorithm[J].Sichuan Environment,2011(4):72-74.
Authors:LI Ping    ZHAO Mei-wei
Institution:LI Ping1,2,ZHAO Mei-wei3(1.Search Center of Environmental Science & Engineering,Shanxi University,Taiyuan 030006,China,2.College of Resources & Environmental Sciences,Shanxi Agriculture University,Taigu,Shanxi 030801,3.Department of Ecology,Environmental Management College of China,Qinhuangdao,Hebei 066004,China)
Abstract:Based on the monitored data of the air quality of Pingyao county town and the area nearby,the situation of atmospheric pollution was assessed using a global optimized genetic algorithm(GA).By applying the universal formula of atmospheric pollution hazard index and the pollution hazard index formula with optimal parameter,the correspondence between the numeric area of pollution hazard index and the assessment levels was determined,from which assessment results coinciding with the local situation were obtaine...
Keywords:Genetic algorithm  atmospheric environment quality  evaluation  pollution hazard index  
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