【摘要】 分析PM2.5的污染特征,研究它在各阶段的浓度变化规律及其与气象因子的相关性;探讨PM2.5可行的控制途径。通过记录烟台市一年间11个监测点位的大气颗粒物数据和逐日的气象数据;利用SPSS软件对数据进行统计分析;结果表明:PM2.5在一天内的时均浓度呈"M"型双峰的变化规律;采暖期PM2.5的质量浓度是非采暖期的1.27倍,非采暖期PM2.5占PM10的比重为59%,在采暖期上升到63%;最为靠海的监测点污染状况明显好于其他站点;气象因子在PM2.5浓度变化中起到的作用各有不同。在城市发展公交导向型交通能降低居民对机动车的依赖,减少汽车尾气的排放;对大气污染物实施人工降雨和进行湿沉降会是治理气溶胶污染的突破口。更多还原

【Abstract】 Objective:To analyze the pollution characteristics of PM2.5 and research the change rule of it’s concentration in every stage. Discusses some feasible control ways of PM2.5. Methods: collected the data of air pollution components delivered by eleven monitoring sites of Yantai and the daily meteorological data. Used the SPSS statistical analysis software to analyze the data. Results: The law of PM2.5’s hourly average concentration is an"M"-typed doublet. The mass concentration in heating period is 1.27 times of that in non-heating periods. In non-heating periods, PM2.5 accounts for 59% in PM10, while in heating period it rises to 63%. It suggests that various meteorological factors play different roles in the change of PM2.5’s concentration. Conclusion: TOC(Transit Oriented Development) in the city can reduce the dependence on motor vehicles, so that exhaust emissions can be reduced. Implementation of artificial rainfall on air pollutants and wet sedimentation are the breakthrough to control aerosol pollution.更多还原