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扬州市区大气污染的变化规律及其机理探讨 被引量:3

Variation characteristics of air pollution index in urban Yangzhou,China
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摘要 通过对2013年江苏省扬州市市区大气污染状况进行监测和统计,分析了扬州市大气主要污染指标的变化规律,并探讨其光化学反应机理.研究结果表明:1)受气压变化的影响,扬州市每日细颗粒物(PM2.5)、可吸入颗粒物(PM10)、SO_2和NO_2浓度大约在早晚8:00达最高值;2)O_3浓度全年隔月发生周期性变化,双月份涨幅较大;3)O_3形成的控制区的类型随监测地点、季节、污染物浓度及气象条件的不同而改变,从而影响PM2.5的生成浓度;扬州市区多数情况下属挥发性有机物(volatile organic compounds,VOCs)控制区,因此O_3浓度的变化趋势与PM2.5、PM10、SO_2和NO_2的相反;4)春节期间燃放烟花炮竹引起PM2.5和SO_2浓度急剧上升,据此可预测人口密度的相对高低和污染物的分布特征. The daily and monthly variation of the main pollutants including at Yangzhou,China was systematically analyzed during the whole year 2013.The possible reasons of the changes and the related control methods have also been put forward.The results indicated that:1)The annual average diel(24h)concentration changes of PM2.5,PM10,SO_2 and NO_2exhibit two peaks every day at around 8:00am and 8:00pm;2)Periodic changes of ozone have been observed.Its concentration increases in February,April,June,August,October and December and decreases in January,March,May,July,September,and November throughout the year;3)The formation type of O_3 will changed with the monitoring location,season,and weather conditions,thus affecting the concentration of the generated PM2.5 Ozone formation in Yangzhou is more sensitive to VOC than NOxthroughout most regions,so the concentration change of O_3 is opposite to the concentration change trend of PM2.5,PM10,SO_2 and NO_2;4)the characteristics of the population density and the pollutant distribution could be predicted by using the sharp rise of PM2.5and SO_2 concentration data caused by the fireworks discharge during the Chinese New Year.
出处 《扬州大学学报(自然科学版)》 CAS 北大核心 2016年第1期74-78,共5页 Journal of Yangzhou University:Natural Science Edition
基金 国家自然科学基金资助项目(21275124) 扬州市环保局基金资助项目(YHK1409 YHK1410)
关键词 大气污染 光化学 细颗粒物 O3 atmosphere pollution photochemical PM2.5 O3
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