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Size-resolved source apportionment of particulate matter in urban Beijingduring haze and non-haze episodes

机译:霾和非霾事件中北京城市颗粒物的尺寸分辨源分配

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Additional size-resolved chemical information is neededbefore the physicochemical characteristics and sources of airborne particlescan be understood; however, this information remains unavailable in mostregions of China due to lacking measurement data. In this study, we reportobservations of various chemical species in size-segregated particle samplesthat were collected over 1 year in the urban area of Beijing, a megacitythat experiences severe haze episodes. In addition to fine particles, highconcentrations of coarse particles were measured during the periods of haze.The abundance and chemical compositions of the particles in this study weretemporally and spatially variable, with major contributions from organicmatter and secondary inorganic aerosols. The contributions of organic matterto the particle mass decreased from 37.9 to 31.2?%, and the totalcontribution of sulfate, nitrate and ammonium increased from 19.1to 33.9?% between non-haze and haze days, respectively. Due toheterogeneous reactions and hygroscopic growth, the peak concentrationsof the organic carbon, cadmium and sulfate, nitrate, ammonium, chloride andpotassium shifted from 0.43 to 0.65?μm on non-haze days to 0.65–1.1?μm on haze days. Although the size distributions of lead andthallium were similar during the observation period, their concentrationsincreased by a factor of more than 1.5 on haze days compared with non-hazedays. We observed that sulfate and ammonium, which have a size range of 0.43–0.65?μm, sulfate and nitrate, which have a size range of 0.65–1.1?μm,calcium, which has a size range of 5.8–9?μm, and themeteorological factors of relative humidity and wind speed were responsiblefor haze pollution when the visibility was less than 10?km. Sourceapportionment using Positive Matrix Factorization showed six PM2.1sources and seven PM2.1–9 common sources: secondary inorganic aerosol(25.1?% for fine particles vs. 9.8?% for coarse particles), coalcombustion (17.7?% vs. 7.8?%), biomass burning (11.1?% vs. 11.8?%),industrial pollution (12.1?% vs. 5.1?%), road dust (8.4?% vs.10.9?%), vehicle emissions (19.6?% for fine particles), mineral dust(22.6?% for coarse particles) and organic aerosol (23.6?% for coarseparticles). The contributions of the first four factors and vehicle emissions were higher on hazedays than non-haze days, while the reverse is true for road dust and mineral dust. The sources' contribution generally increased as the size decreased, withthe exception of mineral dust. However, two peaks were consistently found inthe fine and coarse particles. In addition, the sources' contribution variedwith the wind direction, with coal and oil combustion products increasingduring southern flows. This result suggests that future air pollutioncontrol strategies should consider wind patterns, especially during episodesof haze. Furthermore, the findings of this study indicated that thePM2.5-based data set is insufficient for determining source controlpolicies for haze in China and that detailed size-resolved information isneeded to characterize the important sources of particulate matter in urbanregions and better understand severe haze pollution.
机译:在可以理解气载颗粒的理化特性和来源之前,还需要其他有关尺寸解析的化学信息。但是,由于缺乏测量数据,该信息在中国大多数地区仍然不可用。在这项研究中,我们报告了在北京市区超过1年内收集的大小分离的粒子样本中各种化学物种的观测结果,北京是一个严重雾霾发作的特大城市。除细颗粒外,在雾霾期间还测量了高浓度的粗颗粒。本研究中颗粒的丰度和化学组成随时间和空间变化,主要来自有机物质和次生无机气溶胶。在非雾天和雾天之间,有机物对颗粒质量的贡献分别从37.9%下降到31.2%,硫酸盐,硝酸盐和铵的总贡献从19.1%上升到33.9%。由于异质反应和吸湿性的增长,非雾天的有机碳,镉和硫酸盐,硝酸盐,铵,氯和钾的峰值浓度从0.43到0.65?μm转变为雾天的0.65-1.1?μm。尽管在观察期间铅和th的尺寸分布相似,但与非雾霾日相比,其浓度在雾霾日增加了1.5倍以上。我们观察到硫酸盐和铵的尺寸范围为0.43–0.65?μm,硫酸盐和硝酸盐的尺寸范围为0.65–1.1?μm,钙的尺寸范围为5.8–9?μm,以及当能见度小于10 km时,相对湿度和风速的气象因素是雾霾污染的原因。使用正矩阵分解的源分配显示六个PM 2.1 源和七个PM 2.1–9 常见源:二次无机气溶胶(细颗粒为25.1%,粗颗粒为9.8%颗粒物),燃煤(17.7%vs. 7.8%),生物质燃烧(11.1%vs. 11.8%),工业污染(12.1%vs. 5.1%),道路扬尘(8.4%vs.10.9)排放量(%),车辆排放(细颗粒为19.6%),矿物粉尘(粗颗粒为22.6%)和有机气溶胶(粗颗粒为23.6%)。在阴霾天,前四个因素和车辆排放的贡献高于非阴霾天,而道路尘埃和矿物质尘埃则相反。来源的贡献通常随着大小的减小而增加,矿物粉尘除外。但是,在细颗粒和粗颗粒中始终发现两个峰。此外,气源的贡献随着风向的变化而变化,在南方流动期间,煤和石油燃烧产物增加。该结果表明,未来的空气污染控制策略应考虑风型,尤其是在霾天气期间。此外,这项研究的结果表明,基于PM 2.5 的数据集不足以确定中国的霾源控制政策,需要详细的尺寸解析信息来表征城市地区重要的颗粒物来源并更好地了解雾霾严重污染。

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