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使用羽流回归技术的高度细分的颗粒物和气态车辆排放因子及环境浓度分配

Highly Disaggregated Particulate and Gaseous Vehicle Emission Factors and Ambient Concentration Apportionment Using a Plume Regression Technique.

作者信息

Farren Naomi J, Knoll Markus, Bergmann Alexander, Wagner Rebecca L, Shaw Marvin D, Wilson Samuel, Bernard Yoann, Carslaw David C

机构信息

Wolfson Atmospheric Chemistry Laboratories, University of York, York YO10 5DD, U.K.

Institute of Electrical Measurement and Sensor Systems, Graz University of Technology, Inffeldgasse 33/I, Graz 8010, Austria.

出版信息

Environ Sci Technol. 2025 Jun 17;59(23):11698-11707. doi: 10.1021/acs.est.5c05015. Epub 2025 Jun 3.

Abstract

In this study, vehicle plume measurements from over 27,500 vehicles were made using continuous fast-response instruments located at the curbside for nitrogen oxides (NO), particle number (PN), and black carbon (BC) in the city of Milan, Italy. A recently developed technique is further enhanced to calculate highly disaggregated emission factors for a wide range of vehicle classes. The data reveal a strong improvement in the emissions performance for NO from passenger cars on going from laboratory to on-road testing. However, for emissions of PN and BC, disaggregation by vehicle manufacturers for diesel passenger cars highlights anomalously high emissions from some manufacturers. Emissions from one manufacturer, which predate on-road testing, are up to a factor of 4 higher than the average of other manufacturers and are among those being scrutinized in several European countries through enhanced periodic technical inspections (PTI) that for the first time considered PN. Near-road concentration source apportionment reveals a broader range of vehicle types contributing to PN and BC compared to NO. The top three contributors to NO concentrations account for 57% of total NO but only 28-29% of total PN and BC. These findings have implications for policies such as low-emission zones of the type adopted in Milan and elsewhere in the world. The combination of curbside measurements and allows for both high-resolution emission measurements and ambient concentration source apportionment.

摘要

在本研究中,使用位于意大利米兰市路边的连续快速响应仪器,对超过27500辆汽车的尾气排放进行了测量,测量指标包括氮氧化物(NO)、颗粒物数量(PN)和黑碳(BC)。一种最近开发的技术得到了进一步改进,以计算广泛车辆类型的高度细分的排放因子。数据显示,从实验室测试到道路测试,乘用车的NO排放性能有了显著改善。然而,对于PN和BC的排放,按车辆制造商对柴油乘用车进行细分后发现,一些制造商的排放量异常高。一家制造商在道路测试之前的排放比其他制造商的平均水平高出4倍,并且在几个欧洲国家通过强化定期技术检查(PTI)对其进行审查,PTI首次考虑了PN。近道路浓度源解析表明,与NO相比,对PN和BC有贡献的车辆类型范围更广。造成NO浓度的前三大因素占NO总量的57%,但仅占PN和BC总量的28%-29%。这些发现对米兰及世界其他地方采用的低排放区等政策具有启示意义。路边测量和……的结合使得高分辨率排放测量和环境浓度源解析成为可能。 (原文最后一句不完整,翻译时保留了原文的不完整性)

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