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Yuan Z, Pei CL, Li HX, Lin L, Hou R, Liu S, Zhang K, Cai MG, Xu XR. Vertical distribution and transport of microplastics in the urban atmosphere: New insights from field observations. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 895:165190. [PMID: 37385506 DOI: 10.1016/j.scitotenv.2023.165190] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 06/19/2023] [Accepted: 06/26/2023] [Indexed: 07/01/2023]
Abstract
The distribution and transport of atmospheric microplastics (AMPs) have raised concerns regarding their potential effects on the environment and human health. Although previous studies have reported the presence of AMPs at ground level, there is a lack of comprehensive understanding of their vertical distribution in urban environments. To gain insight into the vertical profile of AMPs, field observations were conducted at four different heights (ground level, 118 m, 168 m and 488 m) of the Canton Tower in Guangzhou, China. Results showed that the profiles of AMPs and other air pollutants had similar layer distribution patterns, although their concentrations differed. The majority of AMPs were composed of polyethylene terephthalate and rayon fibers ranging from 30 to 50 μm. As a result of atmospheric thermodynamics, AMPs generated at ground level were only partially transported upward, leading to a decrease in their abundance with increasing altitude. The study found that the stable atmospheric stability and lower wind speed between 118 m and 168 m resulted in the formation of a fine layer where AMPs tended to accumulate instead of being transported upward. This study for the first time delineated the vertical profile of AMPs within the atmospheric boundary layer, providing valuable data for understanding the environmental fate of AMPs.
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Affiliation(s)
- Zhen Yuan
- Key Laboratory of Tropical Marine Bio-resources and Ecology, Guangdong Provincial Key Laboratory of Applied Marine Biology, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Cheng-Lei Pei
- Guangzhou Sub-branch of Guangdong Ecological and Environmental Monitoring Center, Guangzhou 510006, China
| | - Heng-Xiang Li
- Key Laboratory of Tropical Marine Bio-resources and Ecology, Guangdong Provincial Key Laboratory of Applied Marine Biology, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China; Sanya Institute of Ocean Eco-Environmental Engineering, Sanya 572100, China
| | - Lang Lin
- Key Laboratory of Tropical Marine Bio-resources and Ecology, Guangdong Provincial Key Laboratory of Applied Marine Biology, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China; Sanya Institute of Ocean Eco-Environmental Engineering, Sanya 572100, China
| | - Rui Hou
- Key Laboratory of Tropical Marine Bio-resources and Ecology, Guangdong Provincial Key Laboratory of Applied Marine Biology, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China; Sanya Institute of Ocean Eco-Environmental Engineering, Sanya 572100, China
| | - Shan Liu
- Key Laboratory of Tropical Marine Bio-resources and Ecology, Guangdong Provincial Key Laboratory of Applied Marine Biology, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China; Sanya Institute of Ocean Eco-Environmental Engineering, Sanya 572100, China
| | - Kai Zhang
- National Observation and Research Station of Coastal Ecological Environments in Macao, Macao Environmental Research Institute, Macau University of Science and Technology, Macao SAR, China
| | - Ming-Gang Cai
- State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen 361102, China
| | - Xiang-Rong Xu
- Key Laboratory of Tropical Marine Bio-resources and Ecology, Guangdong Provincial Key Laboratory of Applied Marine Biology, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China; Sanya Institute of Ocean Eco-Environmental Engineering, Sanya 572100, China.
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Liang Y, Wu C, Wu D, Liu B, Li YJ, Sun J, Yang H, Mao X, Tan J, Xia R, Deng T, Li M, Zhou Z. Vertical distributions of atmospheric black carbon in dry and wet seasons observed at a 356-m meteorological tower in Shenzhen, South China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 853:158657. [PMID: 36096219 DOI: 10.1016/j.scitotenv.2022.158657] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 08/28/2022] [Accepted: 09/06/2022] [Indexed: 06/15/2023]
Abstract
Black carbon (BC) is a vital climate forcer in the atmosphere, but measurements of BC vertical profiles near the surface remain limited. This study investigates time-resolved vertical profiling of BC in both dry (December 2017) and wet (August 2018) seasons in Shenzhen, China, at a 356-m meteorological tower. In the dry season, five micro-aethalometers were deployed at different heights (2, 50, 100, 200, and 350 m), while four heights (2, 100, 200, and 350 m) were measured in the wet season. The concentrations of equivalent BC (eBC) showed a decreasing trend with altitude in the dry season, while a weaker vertical gradient was observed in the wet season. The diurnal variability of eBC in the dry season is also more significant than in the wet season. Correlation analysis between eBC concentrations at the ground and those at the upper levels suggest a better vertical mixing of eBC in the wet season than in the dry season. In the wet season when south wind prevailed, eBC concentration at ground level was likely reduced by the large amount of vegetation cover south to the sampling site. In the dry season, eBC concentrations at 350 m show little dependence on wind speed, implying that local emissions have a limited effect on eBC concentrations at 350 m. In the wet season when brown carbon influence was weak, higher wind speed leads to a higher Ångström exponent (AAE) at 350 m, likely associated with more aged BC particles. Cluster analysis of backward trajectories suggests that high eBC concentration was associated with air masses from Central China in both seasons. This study provides a better understanding on the influencing factors that affect the vertical distributions of BC in the lower part of the boundary layer.
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Affiliation(s)
- Yue Liang
- Institute of Mass Spectrometry and Atmospheric Environment, Guangdong Provincial Engineering Research Center for on-line source apportionment system of air pollution, Jinan University, Guangzhou 510632, China; Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou 510632, China; Department of Civil and Environmental Engineering, Faculty of Science and Technology, University of Macau, Taipa, Macau
| | - Cheng Wu
- Institute of Mass Spectrometry and Atmospheric Environment, Guangdong Provincial Engineering Research Center for on-line source apportionment system of air pollution, Jinan University, Guangzhou 510632, China; Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou 510632, China.
| | - Dui Wu
- Institute of Mass Spectrometry and Atmospheric Environment, Guangdong Provincial Engineering Research Center for on-line source apportionment system of air pollution, Jinan University, Guangzhou 510632, China; Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou 510632, China
| | - Ben Liu
- Department of Civil and Environmental Engineering, Faculty of Science and Technology, University of Macau, Taipa, Macau
| | - Yong Jie Li
- Department of Civil and Environmental Engineering, Faculty of Science and Technology, University of Macau, Taipa, Macau
| | - Jiayin Sun
- Institute of Mass Spectrometry and Atmospheric Environment, Guangdong Provincial Engineering Research Center for on-line source apportionment system of air pollution, Jinan University, Guangzhou 510632, China; Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou 510632, China
| | - Honglong Yang
- Shenzhen Meteorological Bureau, CMA, Shenzhen 518040, China
| | - Xia Mao
- Shenzhen Meteorological Bureau, CMA, Shenzhen 518040, China
| | - Jian Tan
- Institute of Mass Spectrometry and Atmospheric Environment, Guangdong Provincial Engineering Research Center for on-line source apportionment system of air pollution, Jinan University, Guangzhou 510632, China; Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou 510632, China
| | - Rui Xia
- Institute of Mass Spectrometry and Atmospheric Environment, Guangdong Provincial Engineering Research Center for on-line source apportionment system of air pollution, Jinan University, Guangzhou 510632, China; Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou 510632, China
| | - Tao Deng
- Institute of Tropical and Marine Meteorology, CMA, Guangzhou 510080, China
| | - Mei Li
- Institute of Mass Spectrometry and Atmospheric Environment, Guangdong Provincial Engineering Research Center for on-line source apportionment system of air pollution, Jinan University, Guangzhou 510632, China; Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou 510632, China
| | - Zhen Zhou
- Institute of Mass Spectrometry and Atmospheric Environment, Guangdong Provincial Engineering Research Center for on-line source apportionment system of air pollution, Jinan University, Guangzhou 510632, China; Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou 510632, China
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von Schneidemesser E, Sibiya B, Caseiro A, Butler T, Lawrence MG, Leitao J, Lupascu A, Salvador P. Learning from the COVID-19 lockdown in berlin: Observations and modelling to support understanding policies to reduce NO 2. ATMOSPHERIC ENVIRONMENT: X 2021; 12:100122. [PMID: 34723169 PMCID: PMC8545717 DOI: 10.1016/j.aeaoa.2021.100122] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 07/16/2021] [Accepted: 07/25/2021] [Indexed: 05/31/2023]
Abstract
Urban air pollution is a substantial threat to human health. Traffic emissions remain a large contributor to air pollution in urban areas. The mobility restrictions put in place in response to the COVID-19 pandemic provided a large-scale real-world experiment that allows for the evaluation of changes in traffic emissions and the corresponding changes in air quality. Here we use observational data, as well as modelling, to analyse changes in nitrogen dioxide, ozone, and particulate matter resulting from the COVID-19 restrictions at the height of the lockdown period in Spring of 2020. Accounting for the influence of meteorology on air quality, we found that reduction of ca. 30-50 % in traffic counts, dominated by changes in passenger cars, corresponded to reductions in median observed nitrogen dioxide concentrations of ca. 40 % (traffic and urban background locations) and a ca. 22 % increase in ozone (urban background locations) during weekdays. Lesser reductions in nitrogen dioxide concentrations were observed at urban background stations at weekends, and no change in ozone was observed. The modelled reductions in median nitrogen dioxide at urban background locations were smaller than the observed reductions and the change was not significant. The model results showed no significant change in ozone on weekdays or weekends. The lack of a simulated weekday/weekend effect is consistent with previous work suggesting that NOx emissions from traffic could be significantly underestimated in European cities by models. These results indicate the potential for improvements in air quality due to policies for reducing traffic, along with the scale of reductions that would be needed to result in meaningful changes in air quality if a transition to sustainable mobility is to be seriously considered. They also confirm once more the highly relevant role of traffic for air quality in urban areas.
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Affiliation(s)
- Erika von Schneidemesser
- Institute for Advanced Sustainability Studies e.V., Berlinerstrasse 130, 14467, Potsdam, Germany
| | - Bheki Sibiya
- Institute for Advanced Sustainability Studies e.V., Berlinerstrasse 130, 14467, Potsdam, Germany
- Institut für Meteorologie, Freie Universität Berlin, Germany
| | - Alexandre Caseiro
- Institute for Advanced Sustainability Studies e.V., Berlinerstrasse 130, 14467, Potsdam, Germany
| | - Tim Butler
- Institute for Advanced Sustainability Studies e.V., Berlinerstrasse 130, 14467, Potsdam, Germany
- Institut für Meteorologie, Freie Universität Berlin, Germany
| | - Mark G Lawrence
- Institute for Advanced Sustainability Studies e.V., Berlinerstrasse 130, 14467, Potsdam, Germany
- Institute of Environmental Science and Geography, University of Potsdam, Potsdam, Germany
| | - Joana Leitao
- Institute for Advanced Sustainability Studies e.V., Berlinerstrasse 130, 14467, Potsdam, Germany
| | - Aurelia Lupascu
- Institute for Advanced Sustainability Studies e.V., Berlinerstrasse 130, 14467, Potsdam, Germany
| | - Pedro Salvador
- Department of Environment CIEMAT, Avda. Complutense 40, 28040, Madrid, Spain
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Ke P, Yu Q, Luo Y, Kang R, Duan L. Fluxes of nitrogen oxides above a subtropical forest canopy in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 715:136993. [PMID: 32032992 DOI: 10.1016/j.scitotenv.2020.136993] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2019] [Revised: 01/12/2020] [Accepted: 01/27/2020] [Indexed: 06/10/2023]
Abstract
Dry deposition of Nitrogen (N) in forests is commonly estimated from inferential method and/or throughfall measurements, with inevitable uncertainty. In this study, we applied an aerodynamic gradient method to directly measure the nitrogen oxides (NOx) flux above the canopy of a subtropical forest in southeastern China for two consecutive years. The flux and transfer velocity generally reached the maximum absolute values in the midday, with the largest diurnal maximum of absolute flux values observed in the winter of 2015 and that of transfer velocity in the autumn of 2015. The annual average transfer velocity was -0.79 and -0.38 cm s-1 in 2015 and 2016, respectively. Although the net downward NOx fluxes predominated for both years, upward flux (net emission) of NOx was observed during spring months, which reflected the possible bi-directional exchange balanced by soil-atmosphere and foliage-atmosphere exchanges. The NOx concentration seemed to be the most important factor controlling the NOx exchange above canopy, and could mainly explain the seasonal variation of N deposition. The linear regression between the NOx flux and concertation was explored, and it was observed that the deposition of NOx was offset by possible underlayer emission of NOx when the ambient NOx concentration below1.7 ppbv and 1.9 ppbv at night and in the day, respectively. The average dry deposition of NOx for the two years was 6.28 ± 0.06 kg N ha-1 a-1, >40% of which might be uptake by the canopy, estimated by comparing the wet/throughfall deposition measurement of nitrate with the observation of NOx flux. This indicated the importance of stomatal uptake of NOx in nitrogen budget in subtropical forests.
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Affiliation(s)
- Piaopiao Ke
- State Key Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
| | - Qian Yu
- State Key Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
| | - Yao Luo
- State Key Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
| | - Ronghua Kang
- CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China.
| | - Lei Duan
- State Key Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China.
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Vaughan AR, Lee JD, Misztal PK, Metzger S, Shaw MD, Lewis AC, Purvis RM, Carslaw DC, Goldstein AH, Hewitt CN, Davison B, Beevers SD, Karl TG. Spatially resolved flux measurements of NOx from London suggest significantly higher emissions than predicted by inventories. Faraday Discuss 2017; 189:455-72. [PMID: 27098421 DOI: 10.1039/c5fd00170f] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
To date, direct validation of city-wide emissions inventories for air pollutants has been difficult or impossible. However, recent technological innovations now allow direct measurement of pollutant fluxes from cities, for comparison with emissions inventories, which are themselves commonly used for prediction of current and future air quality and to help guide abatement strategies. Fluxes of NOx were measured using the eddy-covariance technique from an aircraft flying at low altitude over London. The highest fluxes were observed over central London, with lower fluxes measured in suburban areas. A footprint model was used to estimate the spatial area from which the measured emissions occurred. This allowed comparison of the flux measurements to the UK's National Atmospheric Emissions Inventory (NAEI) for NOx, with scaling factors used to account for the actual time of day, day of week and month of year of the measurement. The comparison suggests significant underestimation of NOx emissions in London by the NAEI, mainly due to its under-representation of real world road traffic emissions. A comparison was also carried out with an enhanced version of the inventory using real world driving emission factors and road measurement data taken from the London Atmospheric Emissions Inventory (LAEI). The measurement to inventory agreement was substantially improved using the enhanced version, showing the importance of fully accounting for road traffic, which is the dominant NOx emission source in London. In central London there was still an underestimation by the inventory of 30-40% compared with flux measurements, suggesting significant improvements are still required in the NOx emissions inventory.
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Affiliation(s)
| | - James D Lee
- National Centre for Atmospheric Science, University of York, York, UK.
| | | | - Stefan Metzger
- National Ecological Observatory Network, Boulder, USA and University of Colorado, Boulder, USA
| | - Marvin D Shaw
- National Centre for Atmospheric Science, University of York, York, UK.
| | - Alastair C Lewis
- National Centre for Atmospheric Science, University of York, York, UK.
| | - Ruth M Purvis
- National Centre for Atmospheric Science, University of York, York, UK.
| | - David C Carslaw
- National Centre for Atmospheric Science, University of York, York, UK. and Ricardo Energy and Environment, Fermi Avenue, Harwell, Oxon, OX11 0QR, UK
| | | | | | - Brian Davison
- Lancaster Environment Centre, Lancaster University, Lancaster, UK
| | - Sean D Beevers
- Department of Analytical and Environmental Sciences, King's College London, UK
| | - Thomas G Karl
- Institute of Atmospheric and Cryospheric Sciences, University of Innsbruck, Innsbruck, Austria
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6
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Karl T, Graus M, Striednig M, Lamprecht C, Hammerle A, Wohlfahrt G, Held A, von der Heyden L, Deventer MJ, Krismer A, Haun C, Feichter R, Lee J. Urban eddy covariance measurements reveal significant missing NO x emissions in Central Europe. Sci Rep 2017; 7:2536. [PMID: 28559587 PMCID: PMC5449400 DOI: 10.1038/s41598-017-02699-9] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2016] [Accepted: 04/19/2017] [Indexed: 12/02/2022] Open
Abstract
Nitrogen oxide (NOx) pollution is emerging as a primary environmental concern across Europe. While some large European metropolitan areas are already in breach of EU safety limits for NO2, this phenomenon does not seem to be only restricted to large industrialized areas anymore. Many smaller scale populated agglomerations including their surrounding rural areas are seeing frequent NO2 concentration violations. The question of a quantitative understanding of different NOx emission sources is therefore of immanent relevance for climate and air chemistry models as well as air pollution management and health. Here we report simultaneous eddy covariance flux measurements of NOx, CO2, CO and non methane volatile organic compound tracers in a city that might be considered representative for Central Europe and the greater Alpine region. Our data show that NOx fluxes are largely at variance with modelled emission projections, suggesting an appreciable underestimation of the traffic related atmospheric NOx input in Europe, comparable to the weekend-weekday effect, which locally changes ozone production rates by 40%.
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Affiliation(s)
- T Karl
- Institute of Atmospheric and Cryospheric Sciences, University of Innsbruck, Innsbruck, Austria.
| | - M Graus
- Institute of Atmospheric and Cryospheric Sciences, University of Innsbruck, Innsbruck, Austria
| | - M Striednig
- Institute of Atmospheric and Cryospheric Sciences, University of Innsbruck, Innsbruck, Austria
| | - C Lamprecht
- Institute of Atmospheric and Cryospheric Sciences, University of Innsbruck, Innsbruck, Austria
| | - A Hammerle
- Institute of Ecology, University of Innsbruck, Innsbruck, Austria
| | - G Wohlfahrt
- Institute of Ecology, University of Innsbruck, Innsbruck, Austria
| | - A Held
- Atmospheric Chemistry, University of Bayreuth, Innsbruck, Germany
| | - L von der Heyden
- Atmospheric Chemistry, University of Bayreuth, Innsbruck, Germany
| | - M J Deventer
- Department of Geography, University of California, Berkeley, USA
| | - A Krismer
- Abteilung Waldschutz, Amt der Tiroler Landesregierung, Innsbruck, Austria
| | - C Haun
- Abteilung Geoinformation, Amt der Tiroler Landesregierung, Innsbruck, Austria
| | - R Feichter
- Amt für Verkehrsplanung, Umwelt, Magistrat III Stadt Innsbruck, Innsbruck, Austria
| | - J Lee
- National Centre for Atmospheric Science and Department of Chemistry, University of York, York, UK
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Carslaw DC, Murrells TP, Andersson J, Keenan M. Have vehicle emissions of primary NO2 peaked? Faraday Discuss 2016; 189:439-54. [DOI: 10.1039/c5fd00162e] [Citation(s) in RCA: 59] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Reducing ambient concentrations of nitrogen dioxide (NO2) remains a key challenge across many European urban areas, particularly close to roads. This challenge mostly relates to the lack of reduction in emissions of oxides of nitrogen (NOx) from diesel road vehicles relative to the reductions expected through increasingly stringent vehicle emissions legislation. However, a key component of near-road concentrations of NO2 derives from directly emitted (primary) NO2 from diesel vehicles. It is well-established that the proportion of NO2 (i.e. the NO2/NOx ratio) in vehicle exhaust has increased over the past decade as a result of vehicle after-treatment technologies that oxidise carbon monoxide and hydrocarbons and generate NO2 to aid the emissions control of diesel particulate. In this work we bring together an analysis of ambient NOx and NO2 measurements with comprehensive vehicle emission remote sensing data obtained in London to better understand recent trends in the NO2/NOx ratio from road vehicles. We show that there is evidence that NO2 concentrations have decreased since around 2010 despite less evidence of a reduction in total NOx. The decrease is shown to be driven by relatively large reductions in the amount of NO2 directly emitted by vehicles; from around 25 vol% in 2010 to 15 vol% in 2014 in inner London, for example. The analysis of NOx and NO2 vehicle emission remote sensing data shows that these reductions have been mostly driven by reduced NO2/NOx emission ratios from heavy duty vehicles and buses rather than light duty vehicles. However, there is also evidence from the analysis of Euro 4 and 5 diesel passenger cars that as vehicles age the NO2/NOx ratio decreases. For example the NO2/NOx ratio decreased from 29.5 ± 2.0% in Euro 5 diesel cars up to one year old to 22.7 ± 2.5% for four-year old vehicles. At some roadside locations the reductions in primary NO2 have had a large effect on reducing both the annual mean and number of hourly exceedances of the European Limit Values of NO2.
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Affiliation(s)
- David C. Carslaw
- Ricardo Energy & Environment
- Harwell
- UK
- Wolfson Atmospheric Chemistry Laboratories
- Department of Chemistry
| | | | - Jon Andersson
- Ricardo Ltd
- Shoreham Technical Centre
- West Sussex BN43 5FG
- UK
| | - Matthew Keenan
- Ricardo Ltd
- Shoreham Technical Centre
- West Sussex BN43 5FG
- UK
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