Mobile monitoring reveals the importance of non-vehicular particulate matter sources in London.

IF 4.3 3区 环境科学与生态学 Q1 CHEMISTRY, ANALYTICAL
Samuel Wilson, Naomi J Farren, Shona E Wilde, Rebecca L Wagner, James D Lee, Lauren E Padilla, Greg Slater, Daniel Peters, David C Carslaw
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Abstract

This study uses mobile monitoring to gain a better understanding of particulate matter (PM) sources in two areas of Central and Outer London, UK. We find that, unlike emissions of nitrogen oxides (NO + NO2 = NOx), which are elevated in Central London due to the high number of diesel vehicles and congestion, fine particulate matter (PM2.5) emissions are well-controlled. This finding provides evidence for the effectiveness of vehicle particulate filters, supporting the view that their widespread adoption has mitigated PM2.5 emissions, even in the highly dieselized area of Central London. However, mobile monitoring also reveals infrequent elevated PM2.5 concentrations caused by malfunctioning vehicles. These events were confirmed through simultaneous measurements of PM2.5 and sulfur dioxide (SO2), the latter being a strong tracer of engine lubricant combustion. A single event from a gasoline car, representing just 0.15% of the driving distance in Outer London, was responsible for 7.4% of the ΔPM2.5 concentration above background levels, highlighting the ongoing importance of addressing high-emission vehicles. In a novel application of mobile monitoring, we demonstrate the ability to identify and quantify non-vehicular sources of PM. Among the sources unambiguously identified are construction activities, which result in elevated concentrations of coarse particulate matter (PMcoarse = PM10 - PM2.5). The mobile measurements clearly highlight the spatial extent of the influence of such sources, which would otherwise be difficult to determine. Furthermore, these sources are shown to be weather-dependent, with PMcoarse concentrations reduced by 62.1% during wet conditions compared to dry ones.

移动监测显示了伦敦非车载颗粒物来源的重要性。
本研究通过移动监测来更好地了解英国伦敦中部和外围两个地区的颗粒物(PM)来源。我们发现,与氮氧化物(NO + NO2 = NOx)的排放不同,细颗粒物(PM2.5)的排放在伦敦市中心受到很好的控制。这一发现为汽车微粒过滤器的有效性提供了证据,从而支持了这样一种观点,即即使在伦敦市中心柴油化程度较高的地区,汽车微粒过滤器的广泛采用也缓解了 PM2.5 的排放。不过,移动监测也发现,车辆故障导致 PM2.5 浓度升高的情况并不常见。这些事件是通过同时测量 PM2.5 和二氧化硫 (SO2) 来确认的,后者是发动机润滑油燃烧的强烈示踪剂。一辆汽油车仅占外伦敦行驶距离的 0.15%,却导致 7.4% 的 ΔPM2.5 浓度高于背景水平,这凸显了解决高排放车辆问题的持续重要性。在移动监测的一项新应用中,我们展示了识别和量化可吸入颗粒物非车辆来源的能力。在明确识别的来源中,建筑活动导致粗颗粒物(PMcoarse = PM10 - PM2.5)浓度升高。移动测量清楚地表明了这些来源的空间影响范围,否则很难确定。此外,这些来源还与天气有关,在潮湿条件下,PMcoarse 浓度比干燥条件下降低了 62.1%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Environmental Science: Processes & Impacts
Environmental Science: Processes & Impacts CHEMISTRY, ANALYTICAL-ENVIRONMENTAL SCIENCES
CiteScore
9.50
自引率
3.60%
发文量
202
审稿时长
1 months
期刊介绍: Environmental Science: Processes & Impacts publishes high quality papers in all areas of the environmental chemical sciences, including chemistry of the air, water, soil and sediment. We welcome studies on the environmental fate and effects of anthropogenic and naturally occurring contaminants, both chemical and microbiological, as well as related natural element cycling processes.
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