传统方法在评价大气环境质量中存在因素较为单一等缺点,文章综合考虑多评价单元的多种指标,运用熵权系数法对成都市各区域AQI进行计算,以区域AQI年均值,区域年污染天数两个评价参数,构建成都市现阶段各区域空气质量状况的指标体系.同时利用聚类分析方法对成都市21个区县,根据空气质量指数AQI日均值进行结果验证.研究结果表明:郫县,青白江区和新都区综合评价等级最高,均在8.5以上,体现出这三个区域空气质量状况较差,综合评价等级较低的都江堰和蒲江县AQI年均值也较低,污染天数很少,其余区域的评分和其AQI以及污染天数均相符合,可以得出该综合评价模型可以很好的很客观的反映出各区域的空气质量状况.聚类分析呈现出较好的聚类效果,整个成都市各区域空气质量均值分布分为四大区域,较符合实际结果,可以为其他城市的空气质量综合评价提供一定的参考.%In the traditional method for evaluation of the atmospheric environmental quality,the factors are rather single.In this paper,different indicators of multiple evaluation units are taken into consideration.Entropy weight coefficient method is used to calculate the AQI of each district in Chengdu city,and such two evaluation parameters as the annual average of regional AQI and regional pollution days are used to construct the indicator system for evaluation of the current air quality status of each district in Chengdu City.Cluster analysis is also adopted to verify the results of 21 districts and counties of Chengdu city according to the daily mean of AQI.The results show that the comprehensive evaluation grade of Pixian County,Qingbaijiang District and Xindu District is the highest all over 8.5,indicating that the air quality status of such three regions is poor.The comprehensive evaluation grade of Dujiangyan and Pujiang County is lower,with low annual average of AQI and less pollution days.Scores of the rest regions accord with the AQI and pollution days.Therefore,it is concluded that such comprehensive evaluation model could objectively reflect the regional air quality status.Cluster analysis shows better clustering effects.Mean distribution of the regional air quality in Chengdu City is divided into four areas in line with the actual results,providing certain reference for air quality comprehensive evaluation in other cities.
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