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

机译:霾和非霾天气中北京市区颗粒物的大小分辨源分配

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pstrongAbstract./strong Additional size-resolved chemical information is needed before the physicochemical characteristics and sources of airborne particles can be understood; however, this information remains unavailable in most regions of China due to lacking measurement data. In this study, we report observations of various chemical species in size-segregated particle samples that were collected over 1 year in the urban area of Beijing, a megacity that experiences severe haze episodes. In addition to fine particles, high concentrations of coarse particles were measured during the periods of haze. The abundance and chemical compositions of the particles in this study were temporally and spatially variable, with major contributions from organic matter and secondary inorganic aerosols. The contributions of organic matter to the particle mass decreased from 37.9 to 31.2span class="thinspace"/span%, and the total contribution of sulfate, nitrate and ammonium increased from 19.1 to 33.9span class="thinspace"/span% between non-haze and haze days, respectively. Due to heterogeneous reactions and hygroscopic growth, the peak concentrations of the organic carbon, cadmium and sulfate, nitrate, ammonium, chloride and potassium shifted from 0.43 to 0.65span class="thinspace"/span?μm on non-haze days to 0.65–1.1span class="thinspace"/span?μm on haze days. Although the size distributions of lead and thallium were similar during the observation period, their concentrations increased by a factor of more than 1.5 on haze days compared with non-haze days. We observed that sulfate and ammonium, which have a size range of 0.43–0.65span class="thinspace"/span?μm, sulfate and nitrate, which have a size range of 0.65–1.1span class="thinspace"/span?μm, calcium, which has a size range of 5.8–9span class="thinspace"/span?μm, and the meteorological factors of relative humidity and wind speed were responsible for haze pollution when the visibility was less than 10span class="thinspace"/spankm. Source apportionment using Positive Matrix Factorization showed six PMsub2.1/sub sources and seven PMsub2.1–9/sub common sources secondary inorganic aerosol (25.1span class="thinspace"/span% for fine particles vs. 9.8span class="thinspace"/span% for coarse particles), coal combustion (17.7span class="thinspace"/span% vs. 7.8span class="thinspace"/span%), biomass burning (11.1span class="thinspace"/span% vs. 11.8span class="thinspace"/span%), industrial pollution (12.1span class="thinspace"/span% vs. 5.1span class="thinspace"/span%), road dust (8.4span class="thinspace"/span% vs. 10.9span class="thinspace"/span%), vehicle emissions (19.6span class="thinspace"/span% for fine particles), mineral dust (22.6span class="thinspace"/span% for coarse particles) and organic aerosol (23.6span class="thinspace"/span% for coarse particles). The contributions of the first four factors and vehicle emissions were higher on haze days than non-haze days, while the reverse is true for road dust and mineral dust. The sources' contribution generally increased as the size decreased, with the exception of mineral dust. However, two peaks were consistently found in the fine and coarse particles. In addition, the sources' contribution varied with the wind direction, with coal and oil combustion products increasing during southern flows. This result
机译:> >摘要。在了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年内收集到的大小分离的颗粒样品中各种化学物质的观察结果。除细颗粒外,在雾霾期间还测出了高浓度的粗颗粒。在这项研究中,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。有机物对颗粒质量的贡献从37.9%降低到31.2 class =“ thinspace”> %,硫酸盐,硝酸盐和铵的总贡献从19.1增加到33.9 class =“ thinspace”在非雾霾天和雾霾天之间分别达到> %。由于异质反应和吸湿性增长,非雾霾下有机碳,镉和硫酸盐,硝酸盐,铵,氯化物和钾的峰值浓度从0.43变为0.65 class =“ thinspace”> ?μm阴霾天的天数为0.65– 1.1 class =“ thinspace”> ?m。尽管在观察期内铅和th的尺寸分布相似,但与非霾日相比,其浓度在霾日增加了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 class =“ thinspace”> ?μm,硫酸盐和硝酸盐的尺寸范围为0.65≤1.1 class = “ thinspace”> ?μm,钙,大小范围为5.8– 9 class =“ thinspace”> ?μm,是相对湿度和风速的气象因素可见度小于10 class =“ thinspace”> km时​​的雾霾污染。使用正矩阵分解的源分配显示6个PM 2.1 源和7个PM 2.1– 9 常见源二次无机气溶胶(25.1 class =“ thinspace”> %(细颗粒)与9.8 class =“ thinspace”> %(粗颗粒),燃煤(17.7 class =“ thinspace”> %与7.8 class = “ thinspace“> %),生物质燃烧(11.1 class =” thinspace“> %与11.8 class =” thinspace“> %),工业污染(12.1 class =“ thinspace”> %vs. 5.1 class =“ thinspace”> %),道路扬尘(8.4 class =“ thinspace”> %vs. 5.1)。 10.9 class =“ thinspace”> %),车辆排放(细颗粒为19.6 class =“ thinspace”> %),矿物粉尘(22.6 class =“ thinspace”> %) %用于粗颗粒)和有机气溶胶(23.6 class =“ thinspace”> %用于粗颗粒)。在雾霾天,前四个因素和车辆排放的贡献高于非雾霾天,而道路尘埃和矿物尘埃则相反。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。这个结果

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