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基于遗传算法优化的大气质量评价的污染危害指数公式
引用本文:李祚泳,彭荔红.基于遗传算法优化的大气质量评价的污染危害指数公式[J].中国环境科学,2000,20(4):0-0.
作者姓名:李祚泳  彭荔红
作者单位:1.成都气象学院大气电子技术研究所 四川成都 610041;2.厦门大学环境科学研究中心 福建厦门 361005
基金项目:国家“九五”重点科技攻关项目!(96-911-08-03)
摘    要:基于污染危害率概念,提出了大气环境质量评价的污染危害指数计算公式和新的因子赋权法.指出用污染物的浓度相对值代替其监测值,公式中的参数可认为不随污染物种类和数目而改变.采用遗传算法对公式中的参数进行优化,得到了适用于多种污染物的大气质量评价的污染危害指数计算公式应用该公式对实例评价的结果与用其他多种方法评价结果进行了比较结果表明,该公式用于大气环境质量评价的物理意义明确、普适性强、计算简单、使用方便.

关 键 词:遗传算法  大气环境质量  环境质量评价  污染损失指数  参数优化  
收稿时间:1900-01-01;

Optimal index formula of pollution harm for atmospheric quality assessment based on genetic algorithm.
LI Zuo yong,PENG Li-hong.Optimal index formula of pollution harm for atmospheric quality assessment based on genetic algorithm.[J].China Environmental Science,2000,20(4):0-0.
Authors:LI Zuo yong  PENG Li-hong
Abstract:Based on the concept of rate of pollution harm, an index calculative formula of pollution harm for the assessment of atmospheric environment quality and a new factors weighting mothod were proposed. It was indicated that the parameters in the formula were universal parameters independent of the numbers and kinds of pollutants, as the relative values of pollutants concentration were used instead of the monitoring values. The index formula of pollution harm for atmospheric quality assessment suitable to multi-pollutant was derived by using genetic algorithm to optimize the parameters in the formula. The results of case assessment using this formula were compared with the results using many other assessment methods, showing that application of this formula in the assessment of atmospheric environment quality possesses clear physical meaning, strong generality, simple calculation and convenient use.
Keywords:genetic algorithm atmospheric environmental quality assessment of environmental quality index of pollution harm parameter optimum
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