文献类型：期刊文献

中文题名：基于北京市6类污染物的环境空气质量评价方法

英文题名：Environmental air quality evaluation method based on the six pollutants in the urban areas of Beijing

作者：刘杰[1];杨鹏[2];吕文生[1];王金海[1]

第一作者：刘杰

机构：[1]北京科技大学土木与环境工程学院;[2]北京联合大学北京市信息服务工程重点实验室

第一机构：北京科技大学土木与环境工程学院,北京100083

年份：2015

卷号：15

期号：1

起止页码：310-315

中文期刊名：安全与环境学报

外文期刊名：Journal of Safety and Environment

收录：CSTPCD;;北大核心:【北大核心2014】；CSCD:【CSCD2015_2016】；

基金：北京市属高等学校高层次人才引进与培养--"长城学者"培养计划项目(CIT&TCD20130320)

语种：中文

中文关键词：环境工程学;污染物;空气质量指数;灰色聚类

外文关键词：environmental engineering; pollutant; air quality index; grey clustering

摘要：根据北京城6区2013年停暖前、后的空气质量自动监测结果,以各污染物质量浓度限值标准为依据,构建包含6类空气污染指标的评价体系。分别运用空气质量指数法和改进的灰色聚类法对空气质量进行评价,并通过详细评价步骤分析对比两种方法的异同。其中,空气质量指数法将6类污染指标中分指数最大的指标确定为空气质量指数,并通过分级来评判空气质量对人体健康的影响;改进的灰色聚类法则通过构建指数型白化函数来提高不确定因素的计算精度,并研究各污染物在不同灰类之间的变化幅度和隶属度。结果表明,空气质量指数法适用于直观判定空气质量对人体健康的影响,改进的灰色聚类法则适用于评价各污染指标对空气质量级别的贴近程度。研究表明,对两种方法,需根据空气质量评价的目的和实践要求,从不同角度出发并结合使用,以得出比较全面、客观的结果。
To better understand the pollution situation and the concentration variation features of the air quality in Beijing,the paper aims to introduce our evaluation results of the pollution situation based on the high-resolution continuous data we have gained in spring,2013,from the air quality automatic monitoring station established by the Beijing Municipality Environmental Monitoring Center. According to the said air quality monitoring data of the six urban evaluation sites arranged in six main administrative districts in Beijing during the periods of heating and non-heating,we have formulated an evaluation system including six indexes of air pollution situation based on the pollution emission concentration levels. And,next,we have done the analyses of the mean concentrations of the following six pollutants,including those of O3,CO,SO2,NO2 and particulates PM10,PM2. 5and the diurnal variation of AQI. Our analysis of the air quality index and the gray clustering method we have renovated has been used for the evaluation by using the detailed evaluation procedures. In proceeding with our research,we have also classified the air quality indexes by using the maximum individual indexes of the six pollutants in view of their effects on the human health,which are mainly influenced by the individual pollutants. To make our analysis in a more definite and clear-cut manner,we have adopted an improved gray clustering method based on the whitening function of the exponential types to improve the calculation precision of the fuzzy factors. Thus,it can be seen that the method we have adopted can more fully reflect the comprehensive effects of all the pollutants on the air quality. The evaluation results demonstrate that the air quality index which is applied to the study of the effects of the air pollutants on human health can serve the public as a wellrecognized guidance to the air quality evaluation. The innovated gray clustering method that is used for evaluating the closeness degree of the pollutants aggregation and classification can help to improve the information utilization,whose advantage is to be able to highlight different air pollutants at different quality levels,thus,making our evaluation results more comprehensive. According to the evaluation purposes of the air quality and the practical evaluation demands,it is possible to combine the above said two methods from different perspectives to gain a more reasonable evaluation result. Thus,it can be concluded that the analysis and evaluation of the pollutant contents and their concentrations in the air is of great practical value for eventual heightening of the new ambient air quality standard.