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中国重点城市大气质量特征研究及评价

发表时间:2014-12-31  浏览量:1814  下载量:712
全部作者: 谢文华,李楠
作者单位: 南京长江都市建筑设计股份有限公司
摘 要: 介绍模糊数学综合评价方法的原理,并利用模糊数学的方法对全国平均大气质量及北京、上海、广州等重点城市大气质量进行综合评价。选取SO2,NO2,可吸入颗粒物(inhalable particles, PM10),细颗粒物(fine paticulate matter, PM2.5)作为评价因子,结合环境质量标准将环境空气分为三级,评价结果显示:2013年综合空气质量,广州优于上海,上海优于全国平均质量,全国平均质量优于北京,其中影响空气质量的主要因素为PM2.5,最次要因素为SO2.
关 键 词: 环境质量监测与评价;大气环境;模糊数学;综合评价
Title: Research and evaluation of major cities’ air quality in China
Author: XIE Wenhua, LI Nan
Organization: Nanjing Yangtze River Urban Architectural Design Co. Ltd.; Urban Construction and Environmental Engineering, Chongqing University
Abstract: The theory of fuzzy mathematics of comprehensive assessment was introduced. The atmospheric environment quality of China in average and that of major cities such as Beijing, Shanghai and Guangzhou were evaluated using this method. SO2, NO2, inhalable particles (PM10) and fine paticulate matter (PM2.5) were chosen to be the evaluation factors. The atmospheric environment quality can be divided into three degrees according to environment quality standard. The results of the evaluation showed that the air quality of Guangzhou in 2013 was the best of all and the rest were in order of Shanghai, China in average and Beijing. The results also indicated that PM 2.5 was the major influence factor of the air quality while SO2 was the minor one amongst all four chosen factors.
Key words: environment quality monitoring and evaluation; atmospheric environment; fuzzy mathematics; comprehensive assessment
发表期数: 2014年12月第24期
引用格式: 谢文华,李楠. 中国重点城市大气质量特征研究及评价[J]. 中国科技论文在线精品论文,2014,7(24):2458-2465.
 
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