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Ghadimi S, Zhu H, Durbin TD, Cocker DR, Karavalakis G. Exceedances of Secondary Aerosol Formation from In-Use Natural Gas Heavy-Duty Vehicles Compared to Diesel Heavy-Duty Vehicles. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:19979-19989. [PMID: 37988584 DOI: 10.1021/acs.est.3c04880] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2023]
Abstract
This work, for the first time, assessed the secondary aerosol formation from both in-use diesel and natural gas heavy-duty vehicles of different vocations when they were operated on a chassis dynamometer while the vehicles were exercised on different driving cycles. Testing was performed on natural gas vehicles equipped with three-way catalysts (TWCs) and diesel trucks equipped with diesel oxidation catalysts, diesel particulate filters, and selective catalytic reduction systems. Secondary aerosol was measured after introducing dilute exhaust into a 30 m3 environmental chamber. Particulate matter ranged from 0.18 to 0.53 mg/mile for the diesel vehicles vs 1.4-85 mg/mile for the natural gas vehicles, total particle number ranged from 4.01 × 1012 to 3.61 × 1013 for the diesel vehicles vs 5.68 × 1012-2.75 × 1015 for the natural gas vehicles, and nonmethane organic gas emissions ranged from 0.032 to 0.05 mg/mile for the diesel vehicles vs 0.012-1.35 mg/mile for the natural gas vehicles. Ammonia formation was favored in the TWC and was found in higher concentrations for the natural gas vehicles (ranged from ∼0 to 1.75 g/mile) than diesel vehicles (ranged from ∼0 to 0.4 g/mile), leading to substantial secondary ammonium nitrate formation (ranging from 8.5 to 98.8 mg/mile for the natural gas vehicles). For the diesel vehicles, one had a secondary ammonium nitrate of 18.5 mg/mile, while the other showed essentially no secondary ammonium nitrate formation. The advanced aftertreatment controls in diesel vehicles resulted in almost negligible secondary organic aerosol (SOA) formation (ranging from 0.046 to 2.04 mg/mile), while the natural gas vehicles led to elevated SOA formation that was likely sourced from the engine lubricating oil (ranging from 3.11 to 39.7 mg/mile). For two natural gas vehicles, the contribution of lightly oxidized lubricating oil in the primary organic aerosol was dominant (as shown in the mass spectra analysis), leading to enhanced SOA mass. Heavily oxidized lubricating oil was also observed to contribute to the SOA formation for other natural gas vehicles.
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Affiliation(s)
- Sahar Ghadimi
- Bourns College of Engineering, Center for Environmental Research and Technology (CE-CERT), University of California, 1084 Columbia Avenue, Riverside, California 92507, United States
- Department of Chemical and Environmental Engineering, Bourns College of Engineering, University of California, Riverside, California 92521, United States
| | - Hanwei Zhu
- Bourns College of Engineering, Center for Environmental Research and Technology (CE-CERT), University of California, 1084 Columbia Avenue, Riverside, California 92507, United States
- Department of Chemical and Environmental Engineering, Bourns College of Engineering, University of California, Riverside, California 92521, United States
| | - Thomas D Durbin
- Bourns College of Engineering, Center for Environmental Research and Technology (CE-CERT), University of California, 1084 Columbia Avenue, Riverside, California 92507, United States
- Department of Chemical and Environmental Engineering, Bourns College of Engineering, University of California, Riverside, California 92521, United States
| | - David R Cocker
- Bourns College of Engineering, Center for Environmental Research and Technology (CE-CERT), University of California, 1084 Columbia Avenue, Riverside, California 92507, United States
- Department of Chemical and Environmental Engineering, Bourns College of Engineering, University of California, Riverside, California 92521, United States
| | - Georgios Karavalakis
- Bourns College of Engineering, Center for Environmental Research and Technology (CE-CERT), University of California, 1084 Columbia Avenue, Riverside, California 92507, United States
- Department of Chemical and Environmental Engineering, Bourns College of Engineering, University of California, Riverside, California 92521, United States
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2
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Farren NJ, Schmidt C, Juchem H, Pöhler D, Wilde SE, Wagner RL, Wilson S, Shaw MD, Carslaw DC. Emission ratio determination from road vehicles using a range of remote emission sensing techniques. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 875:162621. [PMID: 36878292 DOI: 10.1016/j.scitotenv.2023.162621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 02/27/2023] [Accepted: 02/28/2023] [Indexed: 06/18/2023]
Abstract
The development of remote emission sensing techniques such as plume chasing and point sampling has progressed significantly and is providing new insight into vehicle emissions behaviour. However, the analysis of remote emission sensing data can be highly challenging and there is currently no standardised method available. In this study we present a single data processing approach to quantify vehicle exhaust emissions measured using a range of remote emission sensing techniques. The method uses rolling regression calculated over short time intervals to derive the characteristics of diluting plumes. We apply the method to high time-resolution plume chasing and point sampling data to quantify gaseous exhaust emission ratios from individual vehicles. Data from a series of vehicle emission characterisation experiments conducted under controlled conditions is used to demonstrate the potential of this approach. First, the method is validated through comparison with on-board emission measurements. Second, the ability of this approach to detect changes in NOx / CO2 ratios associated with aftertreatment system tampering and different engine operating conditions is shown. Third, the flexibility of the approach is demonstrated by varying the pollutants used as regression variables and quantifying the NO2 / NOx ratios for different vehicle types. A higher proportion of total NOx is emitted as NO2 when the selective catalytic reduction system of the measured heavy duty truck is tampered. In addition, the applicability of this approach to urban environments is illustrated using mobile measurements conducted in Milan, Italy in 2021. Emissions from local combustion sources are distinguished from a complex urban background and the spatiotemporal variability in emissions is shown. The mean NOx / CO2 ratio of 1.61 ppb/ppm is considered representative of the local vehicle fleet. It is envisaged that this approach can be used to quantify emissions from a range of mobile and stationary fuel combustion sources, including non-road vehicles, ships, trains, boilers and incinerators.
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Affiliation(s)
- Naomi J Farren
- Wolfson Atmospheric Chemistry Laboratories, University of York, YO10 5DD, UK.
| | - Christina Schmidt
- Airyx GmbH, Justus-von-Liebig-Str. 14, 69214 Eppelheim, Germany; Institute of Environmental Physics, University of Heidelberg, INF 229, 69120 Heidelberg, Germany
| | - Hannes Juchem
- Institute of Environmental Physics, University of Heidelberg, INF 229, 69120 Heidelberg, Germany
| | - Denis Pöhler
- Airyx GmbH, Justus-von-Liebig-Str. 14, 69214 Eppelheim, Germany
| | - Shona E Wilde
- Wolfson Atmospheric Chemistry Laboratories, University of York, YO10 5DD, UK
| | - Rebecca L Wagner
- Wolfson Atmospheric Chemistry Laboratories, University of York, YO10 5DD, UK
| | - Samuel Wilson
- Wolfson Atmospheric Chemistry Laboratories, University of York, YO10 5DD, UK
| | - Marvin D Shaw
- Wolfson Atmospheric Chemistry Laboratories, University of York, YO10 5DD, UK; National Centre for Atmospheric Science, University of York, YO10 5DD, UK
| | - David C Carslaw
- Wolfson Atmospheric Chemistry Laboratories, University of York, YO10 5DD, UK
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3
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Zhang Z, Zhu W, Hu M, Wang H, Tang L, Hu S, Shen R, Yu Y, Song K, Tan R, Chen Z, Chen S, Canonaco F, Prévôt ASH, Guo S. Secondary organic aerosol formation in China from urban-lifestyle sources: Vehicle exhaust and cooking emission. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 857:159340. [PMID: 36228803 DOI: 10.1016/j.scitotenv.2022.159340] [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: 08/22/2022] [Revised: 10/05/2022] [Accepted: 10/06/2022] [Indexed: 06/16/2023]
Abstract
An increasing number of people tend to live in cities, where they suffer from serious air pollution from anthropogenic sources. Vehicle exhaust and cooking emission are closely related to daily life of urban residents, and could be defined as "urban-lifestyle sources". The primary emissions of urban-lifestyle sources tend to form abundant secondary organic aerosols (SOA) through complicated atmospheric chemistry processes. The newly formed SOA is a kind of complex mixture and causes considerable health effects with high uncertainty. Most studies focus on formation pathway, mass growth potential and chemical feature of urban-lifestyle SOA under simple laboratory conditions. Few studies have measured the urban-lifestyle SOA in ambient air, let alone verified laboratory findings under complicated atmospheric conditions. In this work, we established a new method that combined laboratory simulation and field observation, which quantified the urban-lifestyle SOA with high time resolution under the real atmospheric condition. The complex SOA was measured and resolved by a high-resolution time-of-flight aerosol mass spectrometer (HR-ToF-AMS). The multilinear engine model (ME-2) and multilinear correction methods were used to apply laboratory results into ambient SOA apportionment. It was found that the vehicle source dominated the SOA formation during the diurnal photochemical process, and the SOA:POA ratio of vehicle source was about 1.4 times larger than that of cooking source. The vehicle emission may undergo an alcohol/peroxide & carboxylic acid oxidation pathway and form higher oxidized SOA, while the cooking emission may undergo an alcohol/peroxide oxidation pathway and form relatively lower oxidized SOA. The vehicle SOA and cooking SOA contributed 45.6 % and 24.8 % of OA during a local episode in 2021 winter of downtown Beijing. Our findings could not only provide a new way to quantify urban SOA but also demonstrate some laboratory hypotheses, conducing to understand its ambient contributions, chemical features, and environmental effects.
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Affiliation(s)
- Zirui Zhang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Wenfei Zhu
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Min Hu
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China.
| | - Hui Wang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Lizi Tang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Shuya Hu
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Ruizhe Shen
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Ying Yu
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Kai Song
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Rui Tan
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Zheng Chen
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Shiyi Chen
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Francesco Canonaco
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute (PSI), Villigen 5232, Switzerland; Datalystica Ltd., Park innovAARE, 5234 Villigen, Switzerland
| | - Andre S H Prévôt
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute (PSI), Villigen 5232, Switzerland
| | - Song Guo
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
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4
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Lin Y, Wu Y, Lin JJ. Building an oxidation reactor in Taiwan: From volatile organic compounds to secondary organic aerosols. J CHIN CHEM SOC-TAIP 2022. [DOI: 10.1002/jccs.202200470] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Yen‐Hsiu Lin
- Institute of Atomic and Molecular Sciences, Academia Sinica Taipei Taiwan
- Department of Chemistry National Taiwan University Taipei Taiwan
| | - Yen‐Ju Wu
- Institute of Atomic and Molecular Sciences, Academia Sinica Taipei Taiwan
- Department of Chemistry National Taiwan University Taipei Taiwan
| | - Jim Jr‐Min Lin
- Institute of Atomic and Molecular Sciences, Academia Sinica Taipei Taiwan
- Department of Chemistry National Taiwan University Taipei Taiwan
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5
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Tsiligiannis E, Wu R, Lee BH, Salvador CM, Priestley M, Carlsson PTM, Kang S, Novelli A, Vereecken L, Fuchs H, Mayhew AW, Hamilton JF, Edwards PM, Fry JL, Brownwood B, Brown SS, Wild RJ, Bannan TJ, Coe H, Allan J, Surratt JD, Bacak A, Artaxo P, Percival C, Guo S, Hu M, Wang T, Mentel TF, Thornton JA, Hallquist M. A Four Carbon Organonitrate as a Significant Product of Secondary Isoprene Chemistry. GEOPHYSICAL RESEARCH LETTERS 2022; 49:e2021GL097366. [PMID: 35859850 PMCID: PMC9285747 DOI: 10.1029/2021gl097366] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Revised: 04/22/2022] [Accepted: 04/30/2022] [Indexed: 06/15/2023]
Abstract
Oxidation of isoprene by nitrate radicals (NO3) or by hydroxyl radicals (OH) under high NOx conditions forms a substantial amount of organonitrates (ONs). ONs impact NOx concentrations and consequently ozone formation while also contributing to secondary organic aerosol. Here we show that the ONs with the chemical formula C4H7NO5 are a significant fraction of isoprene-derived ONs, based on chamber experiments and ambient measurements from different sites around the globe. From chamber experiments we found that C4H7NO5 isomers contribute 5%-17% of all measured ONs formed during nighttime and constitute more than 40% of the measured ONs after further daytime oxidation. In ambient measurements C4H7NO5 isomers usually dominate both nighttime and daytime, implying a long residence time compared to C5 ONs which are removed more rapidly. We propose potential nighttime sources and secondary formation pathways, and test them using a box model with an updated isoprene oxidation scheme.
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Affiliation(s)
| | - Rongrong Wu
- Institute of Energy and Climate Research, IEK‐8: TroposphereForschungszentrum Jülich GmbHJülichGermany
- State Key Joint Laboratory of Environmental Simulation and Pollution ControlInternational Joint Laboratory for Regional Pollution ControlMinistry of Education (IJRC)College of Environmental Sciences and EngineeringPeking UniversityBeijingChina
| | - Ben H. Lee
- Department of Atmospheric SciencesUniversity of WashingtonSeattleWAUSA
| | - Christian Mark Salvador
- Department of Chemistry and Molecular BiologyUniversity of GothenburgGothenburgSweden
- Now at Balik Scientist ProgramDepartment of Science and Technology – Philippine Council for IndustryEnergy and Emerging Technology Research and DevelopmentTaguigPhilippines
| | - Michael Priestley
- Department of Chemistry and Molecular BiologyUniversity of GothenburgGothenburgSweden
| | - Philip T. M. Carlsson
- Institute of Energy and Climate Research, IEK‐8: TroposphereForschungszentrum Jülich GmbHJülichGermany
| | - Sungah Kang
- Institute of Energy and Climate Research, IEK‐8: TroposphereForschungszentrum Jülich GmbHJülichGermany
| | - Anna Novelli
- Institute of Energy and Climate Research, IEK‐8: TroposphereForschungszentrum Jülich GmbHJülichGermany
| | - Luc Vereecken
- Institute of Energy and Climate Research, IEK‐8: TroposphereForschungszentrum Jülich GmbHJülichGermany
| | - Hendrik Fuchs
- Institute of Energy and Climate Research, IEK‐8: TroposphereForschungszentrum Jülich GmbHJülichGermany
| | - Alfred W. Mayhew
- Wolfson Atmospheric Chemistry LaboratoriesDepartment of ChemistryUniversity of YorkYorkUK
| | - Jacqueline F. Hamilton
- Wolfson Atmospheric Chemistry LaboratoriesDepartment of ChemistryUniversity of YorkYorkUK
| | - Peter M. Edwards
- Wolfson Atmospheric Chemistry LaboratoriesDepartment of ChemistryUniversity of YorkYorkUK
| | - Juliane L. Fry
- Department of ChemistryReed CollegePortlandORUSA
- Now at Department of Meteorology and Air QualityWageningen UniversityWageningenThe Netherlands
| | | | - Steven S. Brown
- NOAA Chemical Sciences LaboratoryBoulderCOUSA
- Department of ChemistryUniversity of ColoradoBoulderCOUSA
| | - Robert J. Wild
- NOAA Chemical Sciences LaboratoryBoulderCOUSA
- Now at Institute for Ion and PhysicsUniversity of InnsbruckInnsbruckAustria
| | - Thomas J. Bannan
- Centre for Atmospheric ScienceSchool of Earth and Environmental ScienceUniversity of ManchesterManchesterUK
| | - Hugh Coe
- Centre for Atmospheric ScienceSchool of Earth and Environmental ScienceUniversity of ManchesterManchesterUK
| | - James Allan
- Centre for Atmospheric ScienceSchool of Earth and Environmental ScienceUniversity of ManchesterManchesterUK
| | - Jason D. Surratt
- Department of Environmental Sciences and EngineeringGillings School of Global Public HealthThe University of North Carolina at Chapel HillChapel HillNCUSA
| | - Asan Bacak
- Centre for Atmospheric ScienceSchool of Earth and Environmental ScienceUniversity of ManchesterManchesterUK
- Now at Turkish Accelerator & Radiation LaboratoryAnkara University Institute of Accelerator TechnologiesAtmospheric and Environmental Chemistry LaboratoryGölbaşı CampusAnkaraTurkey
| | - Paul Artaxo
- Institute of PhysicsUniversity of Sao PauloSao PauloBrazil
| | | | - Song Guo
- State Key Joint Laboratory of Environmental Simulation and Pollution ControlInternational Joint Laboratory for Regional Pollution ControlMinistry of Education (IJRC)College of Environmental Sciences and EngineeringPeking UniversityBeijingChina
| | - Min Hu
- State Key Joint Laboratory of Environmental Simulation and Pollution ControlInternational Joint Laboratory for Regional Pollution ControlMinistry of Education (IJRC)College of Environmental Sciences and EngineeringPeking UniversityBeijingChina
| | - Tao Wang
- Department of Civil and Environmental EngineeringHong Kong Polytechnic UniversityHong KongChina
| | - Thomas F. Mentel
- Institute of Energy and Climate Research, IEK‐8: TroposphereForschungszentrum Jülich GmbHJülichGermany
| | - Joel A. Thornton
- Department of Atmospheric SciencesUniversity of WashingtonSeattleWAUSA
| | - Mattias Hallquist
- Department of Chemistry and Molecular BiologyUniversity of GothenburgGothenburgSweden
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6
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Wang H, Guo S, Wu Z, Qiao K, Tang R, Yu Y, Xu W, Zhu W, Zeng L, Huang X, He L, Hallquist M. Secondary organic aerosol formation from straw burning using an oxidation flow reactor. J Environ Sci (China) 2022; 114:249-258. [PMID: 35459490 DOI: 10.1016/j.jes.2021.08.049] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Revised: 08/22/2021] [Accepted: 08/25/2021] [Indexed: 06/14/2023]
Abstract
Herein, we use an oxidation flow reactor, Gothenburg: Potential Aerosol Mass (Go: PAM) reactor, to investigate the secondary organic aerosol (SOA) formation from wheat straw burning. Biomass burning emissions are exposed to high concentrations of hydroxyl radicals (OH) to simulate processes equivalent to atmospheric oxidation of 0-2.55 days. Primary volatile organic compounds (VOCs) were investigated, and particles were measured before and after the Go: PAM reactor. The influence of water content (i.e. 5% and 11%) in wheat straw was also explored. Two burning stages, the flaming stage, and non-flaming stages, were identified. Primary particle emission factors (EFs) at a water content of 11% (∼3.89 g/kg-fuel) are significantly higher than those at a water content of 5% (∼2.26 g/kg-fuel) during the flaming stage. However, the water content showed no significant influence at the non-flaming stage. EFs of aromatics at a non-flaming stage (321.8±46.2 mg/kg-fuel) are larger than that at a flaming stage (130.9±37.1 mg/kg-fuel). The OA enhancement ratios increased with the increase in OH exposure at first and decreased with the additional increment of OH exposure. The maximum OA enhancement ratio is ∼12 during the non-flaming stages, which is much higher than ∼ 1.7 during the flaming stages. The mass spectrum of the primary wheat burning organic aerosols closely resembles that of resolved biomass burning organic aerosols (BBOA) based on measurements in ambient air. Our results show that large gap (∼60%-90%) still remains to estimate biomass burning SOA if only the oxidation of VOCs were included.
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Affiliation(s)
- Hui Wang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Song Guo
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China; Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, Nanjing 10044, China.
| | - Zhijun Wu
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China; Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, Nanjing 10044, China.
| | - Kai Qiao
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Rongzhi Tang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Ying Yu
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Weizhao Xu
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Wenfei Zhu
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Liwu Zeng
- Key Laboratory for Urban Habitat Environmental Science and Technology, College of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China
| | - Xiaofeng Huang
- Key Laboratory for Urban Habitat Environmental Science and Technology, College of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China
| | - Lingyan He
- Key Laboratory for Urban Habitat Environmental Science and Technology, College of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China
| | - Mattias Hallquist
- Department of Chemistry and Molecular Biology, Atmospheric Science, University of Gothenburg, SE-412 96 Gothenburg, Sweden
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7
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Wang H, Guo S, Yu Y, Shen R, Zhu W, Tang R, Tan R, Liu K, Song K, Zhang W, Zhang Z, Shuai S, Xu H, Zheng J, Chen S, Li S, Zeng L, Wu Z. Secondary aerosol formation from a Chinese gasoline vehicle: Impacts of fuel (E10, gasoline) and driving conditions (idling, cruising). THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 795:148809. [PMID: 34328915 DOI: 10.1016/j.scitotenv.2021.148809] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Revised: 06/16/2021] [Accepted: 06/29/2021] [Indexed: 06/13/2023]
Abstract
Chassis dynamometer experiments were conducted to investigate the effect of vehicle speed and usage of ethanol-blended gasoline (E10) on formation and evolution of gasoline vehicular secondary organic aerosol (SOA) using a Gothenburg Potential Aerosol Mass (Go: PAM) reactor. The SOA forms rapidly, and its concentration exceeds that of primary organic aerosol (POA) at an equivalent photochemical age (EPA) of ~1 day. The particle effective densities grow from 0.62 ± 0.02 g cm-3 to 1.43 ± 0.07 g cm-3 with increased hydroxyl radical (OH) exposure. The maximum SOA production under idling conditions (4259-7394 mg kg-fuel-1) is ~20 times greater than under cruising conditions. There was no statistical difference between SOA formation from pure gasoline and its formation from E10. The slopes in Van Krevelen diagram indicate that the formation pathways of bulk SOA includes the addition of both alcohol/peroxide functional groups and carboxylic acid formation from fragmentation. A closure estimation of SOA based on bottom-up and top-down methods shows that only 16%-38% of the measured SOA can be explained by the oxidation of measured volatile organic compounds (VOCs), suggesting the existence of missing precursors, e.g. unmeasured VOCs and probably semivolatile or intermediate volatile organic compounds (S/IVOCs). Our results suggest that applying parameters obtained from unified driving cycles to model SOA concentrations may lead to large discrepancies between modeled and ambient vehicular SOA. No reduction in vehicular `SOA production is realized by replacing normal gasoline with E10.
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Affiliation(s)
- Hui Wang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing 100871, PR China
| | - Song Guo
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing 100871, PR China; Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, Nanjing 210044, PR China.
| | - Ying Yu
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing 100871, PR China
| | - Ruizhe Shen
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing 100871, PR China
| | - Wenfei Zhu
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing 100871, PR China
| | - Rongzhi Tang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing 100871, PR China
| | - Rui Tan
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing 100871, PR China
| | - Kefan Liu
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing 100871, PR China
| | - Kai Song
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing 100871, PR China
| | - Wenbin Zhang
- State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100871, PR China
| | - Zhou Zhang
- State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100871, PR China
| | - Shijin Shuai
- State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100871, PR China
| | - Hongming Xu
- State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100871, PR China
| | - Jing Zheng
- Chinese Academy of Meteorological Science, Beijing 100871, PR China
| | - Shiyi Chen
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing 100871, PR China
| | - Shaomeng Li
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing 100871, PR China
| | - Limin Zeng
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing 100871, PR China; Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, Nanjing 210044, PR China
| | - Zhijun Wu
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing 100871, PR China; Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, Nanjing 210044, PR China
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8
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Zhou L, Liu T, Yao D, Guo H, Cheng C, Chan CK. Primary emissions and secondary production of organic aerosols from heated animal fats. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 794:148638. [PMID: 34217089 DOI: 10.1016/j.scitotenv.2021.148638] [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: 04/18/2021] [Revised: 06/17/2021] [Accepted: 06/20/2021] [Indexed: 06/13/2023]
Abstract
Cooking is an important source of primary organic aerosol (POA) in urban areas, and it may also generate abundant non-methane organic gases (NMOGs), which form oxidized organic aerosol (OOA) after atmospheric oxidation. Edible fats play an important role in a balanced diet and are part of various types of cooking. We conducted laboratory studies to examine the primary emissions of POA and NMOGs and OOA formation using an oxidation flow reactor (OFR) for three animal fats (i.e., lard, beef and chicken fats) heated at two different temperatures (160 and 180 °C). Positive matrix factorization (PMF) revealed that OOA formed together with POA loss after photochemical aging, suggesting the conversion of some POA to OOA. The maximum OOA production rates (PRs) from heated animal fats, occurring under OH exposures (OHexp) of 8.3-15 × 1010 molecules cm-3 s, ranged from 8.9 to 24.7 μg min-1, 1.6-14.5 times as high as initial POA emission rates (ERs). NMOG emissions from heated animal fats were dominated by aldehydes, which contributed 14-71% of the observed OOA. We estimated that cooking-related OOA could contribute to as high as ~10% of total organic aerosol (OA) in an urban area in Hong Kong, where cooking OA (COA) dominated the POA. This study provides insights into the potential contribution of cooking to urban OOA, which might be especially pronounced when cooking contributions dominate the primary emissions.
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Affiliation(s)
- Liyuan Zhou
- School of Energy and Environment, City University of Hong Kong, Hong Kong, China
| | - Tengyu Liu
- Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing, China.
| | - Dawen Yao
- Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong, China
| | - Hai Guo
- Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong, China
| | - Chunlei Cheng
- Institute of Mass Spectrometry and Atmospheric Environment, Guangdong Provincial Engineering Research Center for on-Line Source Apportionment System of Air Pollution, Jinan University, Guangzhou, China
| | - Chak K Chan
- School of Energy and Environment, City University of Hong Kong, Hong Kong, China.
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9
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Zhou L, Salvador CM, Priestley M, Hallquist M, Liu Q, Chan CK, Hallquist ÅM. Emissions and Secondary Formation of Air Pollutants from Modern Heavy-Duty Trucks in Real-World Traffic-Chemical Characteristics Using On-Line Mass Spectrometry. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2021; 55:14515-14525. [PMID: 34652131 PMCID: PMC8567417 DOI: 10.1021/acs.est.1c00412] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Revised: 08/02/2021] [Accepted: 09/09/2021] [Indexed: 06/13/2023]
Abstract
Complying with stricter emissions standards, a new generation of heavy-duty trucks (HDTs) has gradually increased its market share and now accounts for a large percentage of on-road mileage. The potential to improve air quality depends on an actual reduction in both emissions and subsequent formation of secondary pollutants. In this study, the emissions in real-world traffic from Euro VI-compliant HDTs were compared to those from older classes, represented by Euro V, using high-resolution time-of-flight chemical ionization mass spectrometry. Gas-phase primary emissions of several hundred species were observed for 70 HDTs. Furthermore, the particle phase and secondary pollutant formation (gas and particle phase) were evaluated for a number of HDTs. The reduction in primary emission factors (EFs) was evident (∼90%) and in line with a reduction of 28-97% for the typical regulated pollutants. Secondary production of most gas- and particle-phase compounds, for example, nitric acid, organic acids, and carbonyls, after photochemical aging in an oxidation flow reactor exceeded the primary emissions (EFAged/EFFresh ratio ≥2). Byproducts from urea-selective catalytic reduction systems had both primary and secondary sources. A non-negative matrix factorization analysis highlighted the issue of vehicle maintenance as a remaining concern. However, the adoption of Euro VI has a significant positive effect on emissions in real-world traffic and should be considered in, for example, urban air quality assessments.
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Affiliation(s)
- Liyuan Zhou
- School
of Energy and Environment, City University
of Hong Kong, Hong Kong, China
| | - Christian M. Salvador
- Department
of Chemistry and Molecular Biology, University
of Gothenburg, 412 96 Gothenburg, Sweden
| | - Michael Priestley
- Department
of Chemistry and Molecular Biology, University
of Gothenburg, 412 96 Gothenburg, Sweden
| | - Mattias Hallquist
- Department
of Chemistry and Molecular Biology, University
of Gothenburg, 412 96 Gothenburg, Sweden
| | - Qianyun Liu
- School
of Energy and Environment, City University
of Hong Kong, Hong Kong, China
| | - Chak K. Chan
- School
of Energy and Environment, City University
of Hong Kong, Hong Kong, China
| | - Åsa M. Hallquist
- IVL
Swedish Environmental Research Institute, 400 14 Gothenburg, Sweden
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10
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Meng X, Wu Z, Guo S, Wang H, Liu K, Zong T, Liu Y, Zhang W, Zhang Z, Chen S, Zeng L, Hallquist M, Shuai S, Hu M. Humidity-Dependent Phase State of Gasoline Vehicle Emission-Related Aerosols. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2021; 55:832-841. [PMID: 33377762 DOI: 10.1021/acs.est.0c05478] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
The phase states of primarily emitted and secondarily formed aerosols from gasoline vehicle exhausts were investigated by quantifying the particle rebound fraction (f). The rebound behaviors of gasoline vehicle emission-related aerosols varied with engines, fuel types, and photochemical aging time, showing distinguished differences from biogenic secondary organic aerosols. The nonliquid-to-liquid phase transition of primary aerosols emitted from port fuel injection (PFI) and gasoline direct injection (GDI) vehicles started at a relative humidity (RH) = 50 and 60%, and liquefaction was accomplished at 60 and 70%, respectively. The RH at which f declined to 0.5 decreased from 70 to 65% for the PFI case with 92# fuel, corresponding to the photochemical aging time from 0.37 to 4.62 days. For the GDI case, such RH enhanced from 60 to 65%. Our results can be used to imply the phase state of traffic-related aerosols and further understand their roles in urban atmospheric chemistry. Taking Beijing, China, as an example, traffic-related aerosols were mainly nonliquid during winter with the majority ambient RH below 50%, whereas they were mostly liquid during the morning rush hour of summer, and traffic-related secondary aerosols fluctuated between nonliquid and liquid during the daytime and tended to be liquid at night with increased ambient RH.
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Affiliation(s)
- Xiangxinyue Meng
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Zhijun Wu
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
- Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing 210044, China
| | - Song Guo
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
- Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing 210044, China
| | - Hui Wang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Kefan Liu
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Taomou Zong
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Yuechen Liu
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Wenbin Zhang
- State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China
| | - Zhou Zhang
- State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China
| | - Shiyi Chen
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Limin Zeng
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
- Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing 210044, China
| | - Mattias Hallquist
- Department of Chemistry and Molecular Biology, Atmospheric Science, University of Gothenburg, Gothenburg SE-412 96, Sweden
| | - Shijin Shuai
- State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China
| | - Min Hu
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
- Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing 210044, China
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11
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Peng Z, Jimenez JL. Radical chemistry in oxidation flow reactors for atmospheric chemistry research. Chem Soc Rev 2020; 49:2570-2616. [DOI: 10.1039/c9cs00766k] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
We summarize the studies on the chemistry in oxidation flow reactor and discuss its atmospheric relevance.
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Affiliation(s)
- Zhe Peng
- Cooperative Institute for Research in Environmental Sciences and Department of Chemistry
- University of Colorado
- Boulder
- USA
| | - Jose L. Jimenez
- Cooperative Institute for Research in Environmental Sciences and Department of Chemistry
- University of Colorado
- Boulder
- USA
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12
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Simonen P, Kalliokoski J, Karjalainen P, Rönkkö T, Timonen H, Saarikoski S, Aurela M, Bloss M, Triantafyllopoulos G, Kontses A, Amanatidis S, Dimaratos A, Samaras Z, Keskinen J, Dal Maso M, Ntziachristos L. Characterization of laboratory and real driving emissions of individual Euro 6 light-duty vehicles - Fresh particles and secondary aerosol formation. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2019; 255:113175. [PMID: 31542669 DOI: 10.1016/j.envpol.2019.113175] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/04/2019] [Revised: 08/19/2019] [Accepted: 09/03/2019] [Indexed: 06/10/2023]
Abstract
Emissions from passenger cars are one of major sources that deteriorate urban air quality. This study presents characterization of real-drive emissions from three Euro 6 emission level passenger cars (two gasoline and one diesel) in terms of fresh particles and secondary aerosol formation. The gasoline vehicles were also characterized by chassis dynamometer studies. In the real-drive study, the particle number emissions during regular driving were 1.1-12.7 times greater than observed in the laboratory tests (4.8 times greater on average), which may be caused by more effective nucleation process when diluted by real polluted and humid ambient air. However, the emission factors measured in laboratory were still much higher than the regulatory value of 6 × 1011 particles km-1. The higher emission factors measured here result probably from the fact that the regulatory limit considers only non-volatile particles larger than 23 nm, whereas here, all particles (also volatile) larger than 3 nm were measured. Secondary aerosol formation potential was the highest after a vehicle cold start when most of the secondary mass was organics. After the cold start, the relative contributions of ammonium, sulfate and nitrate increased. Using a novel approach to study secondary aerosol formation under real-drive conditions with the chase method resulted mostly in emission factors below detection limit, which was not in disagreement with the laboratory findings.
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Affiliation(s)
- Pauli Simonen
- Aerosol Physics Laboratory, Physics Unit, Faculty of Engineering and Natural Sciences, Tampere University, Tampere, Finland.
| | - Joni Kalliokoski
- Aerosol Physics Laboratory, Physics Unit, Faculty of Engineering and Natural Sciences, Tampere University, Tampere, Finland.
| | - Panu Karjalainen
- Aerosol Physics Laboratory, Physics Unit, Faculty of Engineering and Natural Sciences, Tampere University, Tampere, Finland.
| | - Topi Rönkkö
- Aerosol Physics Laboratory, Physics Unit, Faculty of Engineering and Natural Sciences, Tampere University, Tampere, Finland.
| | - Hilkka Timonen
- Atmospheric Composition Research, Finnish Meteorological Institute, Helsinki, Finland.
| | - Sanna Saarikoski
- Atmospheric Composition Research, Finnish Meteorological Institute, Helsinki, Finland.
| | - Minna Aurela
- Atmospheric Composition Research, Finnish Meteorological Institute, Helsinki, Finland.
| | - Matthew Bloss
- Atmospheric Composition Research, Finnish Meteorological Institute, Helsinki, Finland.
| | | | - Anastasios Kontses
- Laboratory of Applied Thermodynamics, Aristotle University of Thessaloniki, Thessaloniki, Greece.
| | - Stavros Amanatidis
- Laboratory of Applied Thermodynamics, Aristotle University of Thessaloniki, Thessaloniki, Greece.
| | - Athanasios Dimaratos
- Laboratory of Applied Thermodynamics, Aristotle University of Thessaloniki, Thessaloniki, Greece.
| | - Zissis Samaras
- Laboratory of Applied Thermodynamics, Aristotle University of Thessaloniki, Thessaloniki, Greece.
| | - Jorma Keskinen
- Aerosol Physics Laboratory, Physics Unit, Faculty of Engineering and Natural Sciences, Tampere University, Tampere, Finland.
| | - Miikka Dal Maso
- Aerosol Physics Laboratory, Physics Unit, Faculty of Engineering and Natural Sciences, Tampere University, Tampere, Finland.
| | - Leonidas Ntziachristos
- Aerosol Physics Laboratory, Physics Unit, Faculty of Engineering and Natural Sciences, Tampere University, Tampere, Finland; Laboratory of Applied Thermodynamics, Aristotle University of Thessaloniki, Thessaloniki, Greece.
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13
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Karjalainen P, Rönkkö T, Simonen P, Ntziachristos L, Juuti P, Timonen H, Teinilä K, Saarikoski S, Saveljeff H, Lauren M, Happonen M, Matilainen P, Maunula T, Nuottimäki J, Keskinen J. Strategies To Diminish the Emissions of Particles and Secondary Aerosol Formation from Diesel Engines. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2019; 53:10408-10416. [PMID: 31408602 PMCID: PMC6748663 DOI: 10.1021/acs.est.9b04073] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/09/2019] [Accepted: 08/13/2019] [Indexed: 06/10/2023]
Abstract
Particle emissions and secondary aerosol formation from internal combustion engines deteriorate air quality and significantly affect human wellbeing and health. Both the direct particle emissions and the emissions of compounds contributing to secondary aerosol formation depend on choices made in selecting fuels, engine technologies, and exhaust aftertreatment (EAT). Here we study how catalytic EATs, particle filtration, and fuel choices affect these emissions concerning heavy-duty diesel engine. We observed that the most advanced EAT decreased the emissions of fresh exhaust particle mass as much as 98% (from 44.7 to 0.73 mg/kWh) and the formation of aged exhaust particle mass ∼100% (from 106.2 to ∼0 mg/kWh). The composition of emitted particles depended significantly on the EAT and oxidative aging. While black carbon typically dominated the composition of fresh exhaust particles, aged particles contained more sulfates and organics. The fuel choices had minor effects on the secondary aerosol formation, implicating that, in diesel engines, either the lubricant is a significant source of secondary aerosol precursors or the precursors are formed in the combustion process. Results indicate that the utilization of EAT in diesel engines would produce benefits with respect to exhaust burden on air quality, and thus their utilization should be promoted especially in geographical areas suffering from poor air quality.
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Affiliation(s)
- Panu Karjalainen
- Aerosol
Physics Laboratory, Tampere University, P.O. Box 692, FI-33014 Tampere, Finland
- Atmospheric
Composition Research, Finnish Meteorological
Institute, P.O. Box 503, FI-00101 Helsinki, Finland
| | - Topi Rönkkö
- Aerosol
Physics Laboratory, Tampere University, P.O. Box 692, FI-33014 Tampere, Finland
| | - Pauli Simonen
- Aerosol
Physics Laboratory, Tampere University, P.O. Box 692, FI-33014 Tampere, Finland
| | | | - Paxton Juuti
- Aerosol
Physics Laboratory, Tampere University, P.O. Box 692, FI-33014 Tampere, Finland
| | - Hilkka Timonen
- Atmospheric
Composition Research, Finnish Meteorological
Institute, P.O. Box 503, FI-00101 Helsinki, Finland
| | - Kimmo Teinilä
- Atmospheric
Composition Research, Finnish Meteorological
Institute, P.O. Box 503, FI-00101 Helsinki, Finland
| | - Sanna Saarikoski
- Atmospheric
Composition Research, Finnish Meteorological
Institute, P.O. Box 503, FI-00101 Helsinki, Finland
| | - Henna Saveljeff
- Turku
University of Applied Sciences, FI-20700 Turku, Finland
| | - Mika Lauren
- Turku
University of Applied Sciences, FI-20700 Turku, Finland
| | | | | | | | | | - Jorma Keskinen
- Aerosol
Physics Laboratory, Tampere University, P.O. Box 692, FI-33014 Tampere, Finland
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14
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Järvinen A, Timonen H, Karjalainen P, Bloss M, Simonen P, Saarikoski S, Kuuluvainen H, Kalliokoski J, Dal Maso M, Niemi JV, Keskinen J, Rönkkö T. Particle emissions of Euro VI, EEV and retrofitted EEV city buses in real traffic. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2019; 250:708-716. [PMID: 31035153 DOI: 10.1016/j.envpol.2019.04.033] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/21/2018] [Revised: 03/28/2019] [Accepted: 04/06/2019] [Indexed: 06/09/2023]
Abstract
Exhaust emissions from traffic significantly affect urban air quality. In this study, in-traffic emissions of diesel-fueled city buses meeting enhanced environmentally friendly vehicle (EEV) and Euro VI emission limits and the effects of retrofitting of EEV buses were studied on-road by chasing the buses with a mobile laboratory in the Helsinki region, Finland. The average emission factors of particle number (PN), particle mass (PM1) and black carbon mass (BC) were 0.86·1015 1/kgfuel, 0.20 g/kgfuel and 0.10 g/kgfuel, respectively, for EEV buses. For Euro VI buses, the emissions were below 0.5·1015 1/kgfuel (PN), 0.07 g/kgfuel (PM1) and 0.02 g/kgfuel (BC), and the exhaust plume concentrations of these pollutants were close to the background concentrations. The emission factors of PM1 and BC of retrofitted EEV buses were at the level of Euro VI buses, but their particle number emissions varied significantly. On average, the EEV buses were observed to emit the largest amounts of nanocluster aerosol (NCA) (i.e., the particles with size between 1.3 and 3 nm). High NCA emissions were linked with high PN emissions. In general, results demonstrate that advanced exhaust aftertreatment systems reduce emissions of larger soot particles but not small nucleation mode particles in all cases.
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Affiliation(s)
- Anssi Järvinen
- Aerosol Physics Laboratory, Physics Unit, Faculty of Engineering and Natural Sciences, Tampere University, Tampere, FI33720, Finland
| | - Hilkka Timonen
- Atmospheric Composition Research, Finnish Meteorological Institute, Helsinki, FI00101, Finland
| | - Panu Karjalainen
- Aerosol Physics Laboratory, Physics Unit, Faculty of Engineering and Natural Sciences, Tampere University, Tampere, FI33720, Finland
| | - Matthew Bloss
- Atmospheric Composition Research, Finnish Meteorological Institute, Helsinki, FI00101, Finland
| | - Pauli Simonen
- Aerosol Physics Laboratory, Physics Unit, Faculty of Engineering and Natural Sciences, Tampere University, Tampere, FI33720, Finland
| | - Sanna Saarikoski
- Atmospheric Composition Research, Finnish Meteorological Institute, Helsinki, FI00101, Finland
| | - Heino Kuuluvainen
- Aerosol Physics Laboratory, Physics Unit, Faculty of Engineering and Natural Sciences, Tampere University, Tampere, FI33720, Finland
| | - Joni Kalliokoski
- Aerosol Physics Laboratory, Physics Unit, Faculty of Engineering and Natural Sciences, Tampere University, Tampere, FI33720, Finland
| | - Miikka Dal Maso
- Aerosol Physics Laboratory, Physics Unit, Faculty of Engineering and Natural Sciences, Tampere University, Tampere, FI33720, Finland
| | - Jarkko V Niemi
- Helsinki Region Environmental Services Authority (HSY), Helsinki, FI00066, HSY, Finland
| | - Jorma Keskinen
- Aerosol Physics Laboratory, Physics Unit, Faculty of Engineering and Natural Sciences, Tampere University, Tampere, FI33720, Finland
| | - Topi Rönkkö
- Aerosol Physics Laboratory, Physics Unit, Faculty of Engineering and Natural Sciences, Tampere University, Tampere, FI33720, Finland.
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15
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Liu T, Zhou L, Liu Q, Lee BP, Yao D, Lu H, Lyu X, Guo H, Chan CK. Secondary Organic Aerosol Formation from Urban Roadside Air in Hong Kong. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2019; 53:3001-3009. [PMID: 30790521 DOI: 10.1021/acs.est.8b06587] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Motor vehicle emissions are an important but poorly constrained source of secondary organic aerosol (SOA). Here, we investigated in situ SOA formation from urban roadside air in Hong Kong during winter time using an oxidation flow reactor (OFR), with equivalent atmospheric oxidation ranging from several hours to several days. The campaign-average mass enhancement of OA, nitrate, sulfate, and ammonium upon OFR aging was 7.0, 7.2, 0.8, and 2.6 μg m-3, respectively. To investigate the sources of SOA formation potential, we performed multilinear regression analysis between measured peak SOA concentrations from OFR and the concentrations of toluene that represent motor vehicle emissions and cooking OA from positive matrix factorization (PMF) analysis of ambient OA. Traffic-related SOA precursors contributed 92.3%, 92.4%, and 83.1% to the total SOA formation potential during morning rush hours, noon and early afternoon, and evening meal time, respectively. The SOA production factor (PF) was approximately 5.2 times of primary OA (POA) emission factor (EF) and the secondary particulate matter (PM) PF was approximately 2.6 times of primary particles EF. This study highlights the potential benefit of reducing secondary PM production from motor vehicle emissions in mitigating PM pollutions.
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Affiliation(s)
- Tengyu Liu
- School of Energy and Environment , City University of Hong Kong , Hong Kong , China
| | - Liyuan Zhou
- School of Energy and Environment , City University of Hong Kong , Hong Kong , China
| | - Qianyun Liu
- Division of Environment and Sustainability , Hong Kong University of Science and Technology , Hong Kong , China
| | - Berto P Lee
- School of Energy and Environment , City University of Hong Kong , Hong Kong , China
| | - Dawen Yao
- Department of Civil and Environmental Engineering , The Hong Kong Polytechnic University , Hong Kong , China
| | - Haoxian Lu
- Department of Civil and Environmental Engineering , The Hong Kong Polytechnic University , Hong Kong , China
| | - Xiaopu Lyu
- Department of Civil and Environmental Engineering , The Hong Kong Polytechnic University , Hong Kong , China
| | - Hai Guo
- Department of Civil and Environmental Engineering , The Hong Kong Polytechnic University , Hong Kong , China
| | - Chak K Chan
- School of Energy and Environment , City University of Hong Kong , Hong Kong , China
- City University of Hong Kong Shenzhen Research Institute , Shenzhen 518057 , China
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