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Ocean Data View软件在城市大气污染物因子分析中的应用 被引量:1

Application of Ocean Data View software in urban air pollutant factor analysis
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摘要 近些年城市大气污染问题尤为突出,其中PM2.5、PM10等污染物是引起雾霾天气的重要因素.本文基于2007—2016年10年中全国主要城市SO2、NO2、PM10等污染物因子的年平均浓度变化,利用Ocean Data View软件分析主要城市大气污染主控因子(二氧化硫、氮氧化物以及颗粒物)的排放特征及其成因.结果表明:各污染物的区域性分布明显,污染物浓度变化的总体趋势北方高于南方,SO2、NO2、PM10年平均浓度北方分别高于南方108.15%、7.60%、48.36%;从大气污染组分来看,颗粒物的增长速度最快,石家庄2007—2016年PM10增速为28.10%;而SO2的污染物浓度在下降,乌鲁木齐的降速为84.10%. In recent years,the urban air pollution is particularly prominent, which the PM 2.5 , PM 10 and other pollutants are important factors causing haze. This paper is based on the annual average concentration change of SO 2, NO 2, PM 10 and other major pollutants from 2007 to 2016 in major cities,using Ocean Data View software to analyze the emission characteristics and air pollution control factors (sulfur dioxide, nitrogen oxides, and other particulate matters). The results show that the regional distribution of pollutants is obvious. The overall pollutant concentration change is greater in the north than in the south, and the annual average concentrations of SO 2, NO 2, and PM 10 in the north are higher than those in the south by 108.15%, 7.6%, and 48.36%, respectively. In terms of composition of air pollution, the growth rate of particulate matter is the fastest. The growth rate of PM 10 in Shijiazhuang from 2007 to 2016 is 28.1%; however, the pollutant concentration of SO 2 is decreasing, and the deceleration rate of Urumqi is 84.1%.
作者 石斌 谭志海 肖玮伦 赫江江 SHI Bin;TAN Zhihai;XIAO Weilun;HE Jiangjiang(School of Environmental and Chemical Engineering,Xi′an Polytechnic University,Xi′an 710048,China)
出处 《西安工程大学学报》 CAS 2018年第4期431-437,共7页 Journal of Xi’an Polytechnic University
基金 黄土与第四纪国家重点实验室开放基金(SKLLQG1618)
关键词 大气污染 OCEAN DATA VIEW 污染因子 时空变化 air pollution Ocean Data View pollution factors temporal and spatial variation
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