首页 | 本学科首页   官方微博 | 高级检索  
     检索      

上海市市区、郊区NO2、SO2和PM10的时空变化规律及相关性分析
引用本文:顾勇国,吕森林,顾建忠,陈小慧,范荣,陈志豪.上海市市区、郊区NO2、SO2和PM10的时空变化规律及相关性分析[J].上海环境科学,2006,25(5):201-205.
作者姓名:顾勇国  吕森林  顾建忠  陈小慧  范荣  陈志豪
作者单位:[1]上海市嘉定区环境保护局,上海201822 [2]上海大学环境与化学工程学院射线应用研究所,上海201800
摘    要:在对上海市嘉定区大气污染物SO2、NOx和PM10连续1年的观测基础上,结合上海环境状况公报的数据,探讨了市区、郊区大气污染物的空间和时间变化规律。结果表明,2005年中NO2、SO2和PM10的质量浓度在市区和郊区均是冬春两季高,夏秋两季低;NO2、SO2和PM10浓度在市区要高于郊区;郊区大气污染物的月变化幅度要比市区大,市区PM10污染有增加趋势。根据气象条件分析,嘉定区周边工业污染对NO2、SO2和PM10的浓度有贡献,市区NO2、SO2和PM10的质量浓度则与机动车尾气、工业燃煤,建筑扬尘和道路扬尘等诸多因素有关。相关性分析表明,上海市NO2、SO2和PM10相互之间存在比较强的相关性。

关 键 词:大气污染物  变化规律  气象条件  相关性  上海市

Analyses on Time-Space Distributions and Correlations of NO2, SO2 and PM10 in Air in Urban and Suburb Areas of Shanghai
Gu Yongguo.Analyses on Time-Space Distributions and Correlations of NO2, SO2 and PM10 in Air in Urban and Suburb Areas of Shanghai[J].Shanghai Environmental Science,2006,25(5):201-205.
Authors:Gu Yongguo
Abstract:Based on a whole year observation of the air pollutants of SO_2,NO_x and PM_(10) in Jiading District, a suburb area of Shanghai,and combined with statistic data retrieved from Shanghai Environmental Bulletin, time-space distributions of the air pollutants in the urban and suburb areas were analysed. It showed that both of the urban and suburb mass concentrations of SO_2,NO_x and PM_(10) in winter and in spring were higher than that in the rest seasons of 2005. The contents of SO_2,NO_x and PM_(10) in the urban area were higher than that in the suburb. The monthly fluctuation of the mass concentrations in the suburb area was greater than that in the urban area. The PM_(10) content in the urban area tended to rise. Combined with an analysis of meteorological conditions, the pollutant emission from industries around Jiading District did contributions to the mass levels of SO_2,NO_x and PM_(10) in the air,while those concentrations in the urban area had relationships with factors such as automo- bile exhaust emission,coal burning,dusts blown off from construction sites and roads,and etc. The analysis demonstrated that there were close correlations among the levels of SO_2,NO_x and PM_(10) in Shanghai.
Keywords:Air pollutants  Variation pattern  Meteorological condition  Correlation  Shanghai
本文献已被 CNKI 维普 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号