1
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Marten R, Xiao M, Wang M, Kong W, He XC, Stolzenburg D, Pfeifer J, Marie G, Wang DS, Elser M, Baccarini A, Lee CP, Amorim A, Baalbaki R, Bell DM, Bertozzi B, Caudillo L, Dada L, Duplissy J, Finkenzeller H, Heinritzi M, Lampimäki M, Lehtipalo K, Manninen HE, Mentler B, Onnela A, Petäjä T, Philippov M, Rörup B, Scholz W, Shen J, Tham YJ, Tomé A, Wagner AC, Weber SK, Zauner-Wieczorek M, Curtius J, Kulmala M, Volkamer R, Worsnop DR, Dommen J, Flagan RC, Kirkby J, McPherson Donahue N, Lamkaddam H, Baltensperger U, El Haddad I. Assessing the importance of nitric acid and ammonia for particle growth in the polluted boundary layer. ENVIRONMENTAL SCIENCE: ATMOSPHERES 2024; 4:265-274. [PMID: 38371605 PMCID: PMC10867809 DOI: 10.1039/d3ea00001j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Accepted: 12/07/2023] [Indexed: 02/20/2024]
Abstract
Aerosols formed and grown by gas-to-particle processes are a major contributor to smog and haze in megacities, despite the competition between growth and loss rates. Rapid growth rates from ammonium nitrate formation have the potential to sustain particle number in typical urban polluted conditions. This process requires supersaturation of gas-phase ammonia and nitric acid with respect to ammonium nitrate saturation ratios. Urban environments are inhomogeneous. In the troposphere, vertical mixing is fast, and aerosols may experience rapidly changing temperatures. In areas close to sources of pollution, gas-phase concentrations can also be highly variable. In this work we present results from nucleation experiments at -10 °C and 5 °C in the CLOUD chamber at CERN. We verify, using a kinetic model, how long supersaturation is likely to be sustained under urban conditions with temperature and concentration inhomogeneities, and the impact it may have on the particle size distribution. We show that rapid and strong temperature changes of 1 °C min-1 are needed to cause rapid growth of nanoparticles through ammonium nitrate formation. Furthermore, inhomogeneous emissions of ammonia in cities may also cause rapid growth of particles.
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Affiliation(s)
- Ruby Marten
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute 5232 Villigen Switzerland
| | - Mao Xiao
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute 5232 Villigen Switzerland
| | - Mingyi Wang
- California Institute of Technology, Division of Chemistry and Chemical Engineering 210-41 Pasadena CA 91125 USA
| | - Weimeng Kong
- California Institute of Technology, Division of Chemistry and Chemical Engineering 210-41 Pasadena CA 91125 USA
| | - Xu-Cheng He
- Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki 00014 Helsinki Finland
- Finnish Meteorological Institute FI-00560 Helsinki Finland
| | - Dominik Stolzenburg
- Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki 00014 Helsinki Finland
- Institute for Materials Chemistry, TU Wien 1060 Vienna Austria
| | - Joschka Pfeifer
- CERN CH-1211 Geneva Switzerland
- Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt 60438 Frankfurt am Main Germany
| | - Guillaume Marie
- Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt 60438 Frankfurt am Main Germany
| | - Dongyu S Wang
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute 5232 Villigen Switzerland
| | - Miriam Elser
- Empa, Swiss Federal Laboratories for Materials Science and Technology Dübendorf Switzerland
| | - Andrea Baccarini
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute 5232 Villigen Switzerland
- Atmospheric Processes and Their Impact, École Polytechnique Fédérale de Lausanne 1015 Lausanne Switzerland
| | - Chuan Ping Lee
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute 5232 Villigen Switzerland
| | - Antonio Amorim
- CENTRA, FCUL, University of Lisbon 1749-016 Lisbon Portugal
| | - Rima Baalbaki
- Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki 00014 Helsinki Finland
| | - David M Bell
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute 5232 Villigen Switzerland
| | - Barbara Bertozzi
- Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology 76021 Karlsruhe Germany
| | - Lucía Caudillo
- Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt 60438 Frankfurt am Main Germany
| | - Lubna Dada
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute 5232 Villigen Switzerland
| | - Jonathan Duplissy
- Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki 00014 Helsinki Finland
- Helsinki Institute of Physics (HIP)/Physics, Faculty of Science, University of Helsinki 00014 Helsinki Finland
| | - Henning Finkenzeller
- Department of Chemistry, CIRES, University of Colorado Boulder 215 UCB Boulder 80309 CO USA
| | - Martin Heinritzi
- Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt 60438 Frankfurt am Main Germany
| | - Markus Lampimäki
- Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki 00014 Helsinki Finland
| | - Katrianne Lehtipalo
- Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki 00014 Helsinki Finland
- Finnish Meteorological Institute FI-00560 Helsinki Finland
| | | | - Bernhard Mentler
- Institute of Ion Physics and Applied Physics, University of Innsbruck 6020 Innsbruck Austria
| | | | - Tuukka Petäjä
- Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki 00014 Helsinki Finland
| | - Maxim Philippov
- Lebedev Physical Institute of the Russian Academy of Sciences 119991 Leninsky prospekt, 53 Moscow Russian Federation
| | - Birte Rörup
- Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki 00014 Helsinki Finland
| | - Wiebke Scholz
- Institute of Ion Physics and Applied Physics, University of Innsbruck 6020 Innsbruck Austria
| | - Jiali Shen
- Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki 00014 Helsinki Finland
| | - Yee Jun Tham
- Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki 00014 Helsinki Finland
| | - António Tomé
- IDL-Universidade da Beira Interior 6201-001 Covilhã Portugal
| | - Andrea C Wagner
- Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt 60438 Frankfurt am Main Germany
- Department of Chemistry, CIRES, University of Colorado Boulder 215 UCB Boulder 80309 CO USA
- Aerosol Physics Laboratory, Physics Unit, Tampere University FI-33014 Tampere Finland
| | - Stefan K Weber
- CERN CH-1211 Geneva Switzerland
- Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt 60438 Frankfurt am Main Germany
| | - Marcel Zauner-Wieczorek
- Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt 60438 Frankfurt am Main Germany
| | - Joachim Curtius
- Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt 60438 Frankfurt am Main Germany
| | - Markku Kulmala
- Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki 00014 Helsinki Finland
| | - Rainer Volkamer
- Department of Chemistry, CIRES, University of Colorado Boulder 215 UCB Boulder 80309 CO USA
| | - Douglas R Worsnop
- Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki 00014 Helsinki Finland
- Aerodyne Research 01821 Billerica MA USA
| | - Josef Dommen
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute 5232 Villigen Switzerland
| | - Richard C Flagan
- California Institute of Technology, Division of Chemistry and Chemical Engineering 210-41 Pasadena CA 91125 USA
| | - Jasper Kirkby
- CERN CH-1211 Geneva Switzerland
- Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt 60438 Frankfurt am Main Germany
| | - Neil McPherson Donahue
- Center for Atmospheric Particle Studies, Carnegie Mellon University 1521 Pittsburgh PA USA
| | - Houssni Lamkaddam
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute 5232 Villigen Switzerland
| | - Urs Baltensperger
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute 5232 Villigen Switzerland
| | - Imad El Haddad
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute 5232 Villigen Switzerland
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2
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Chiu YT, Carlton AG. Aerosol Thermodynamics: Nitrate Loss from Regulatory PM 2.5 Filters in California. ACS ES&T AIR 2024; 1:25-32. [PMID: 39166529 PMCID: PMC10798142 DOI: 10.1021/acsestair.3c00013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 10/25/2023] [Accepted: 10/26/2023] [Indexed: 08/23/2024]
Abstract
Fine particulate matter (PM2.5) mass concentrations reported by regulatory networks are declining across the United States. It is well established that ammonium nitrate contributes substantially to the PM2.5 mass in the western United States, and that Teflon filters commonly used by regulatory monitors are subject to negative mass artifacts due to ammonium nitrate volatilization. This study focuses on the San Joaquin Valley (SJV), an environmental justice (EJ) and agricultural region with persistently poor air quality. The SJV is a serious nonattainment area of PM2.5 National Ambient Air Quality Standards (NAAQS) with substantial nitrate mass concentrations. We explicitly model the chemical thermodynamic equilibrium of the ammonium nitrate-nitric acid systems and quantify volatilization across California as a function of the deliquescence point relative humidity (%DRH). Nitrate loss is estimated at all federal reference method (FRM) and federal equivalent method (FEM) monitors from 2001 to 2021. Nearly 20% of PM2.5 mass is lost from filters in the SJV area, especially during winter and fall when particulate nitrate mass is most abundant. All decadal PM2.5 trends calculated from reported measurements in Kern, Tulare, and Fresno counties in the SJV show greater decline in PM2.5 mass when nitrate loss is accounted for, up to a factor of 20 in Kern county. This suggests PM2.5 mass concentrations reported in regulatory networks are biased low relative to the actual atmospheric burden, notably in an EJ area that lags behind most of the country's air quality improvements.
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Affiliation(s)
- Yin Ting
T. Chiu
- Department of Chemistry, University of California, Irvine, Irvine, California 92697, United States
| | - Annmarie G. Carlton
- Department of Chemistry, University of California, Irvine, Irvine, California 92697, United States
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3
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Lian X, Tang G, Dao X, Hu X, Xiong X, Zhang G, Wang Z, Cheng C, Wang X, Bi X, Li L, Li M, Zhou Z. Seasonal variations of imidazoles in urban areas of Beijing and Guangzhou, China by single particle mass spectrometry. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 844:156995. [PMID: 35777561 DOI: 10.1016/j.scitotenv.2022.156995] [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: 03/31/2022] [Revised: 06/21/2022] [Accepted: 06/22/2022] [Indexed: 06/15/2023]
Abstract
Imidazoles (IMs) are potential contributors to brown carbon; they may notably contribute to climate radiative forcing. However, only a few studies have assessed the mixing state, seasonal and spatial distributions of IMs, and influencing factors for IM formation in urban aerosols. In this study, two single-particle aerosol mass spectrometers were employed to investigate the IM-containing particles in the urban areas of Beijing and Guangzhou, China. IM-containing particles were identified in the size range (dva) of 0.2-2.0 μm, accounting for 0.7-21.7 % of all the detected particles. The number fractions of IM-containing particles in both cities were the lowest in winter and the highest in spring, probably owing to the difference in the abundance of precursors and the particle acidity. Majority of (60-80 % by number) the IM-containing particles were mixed with organic carbon (OC), with the lowest fractions found in summer. Although the number fractions of IM-containing particles in Beijing were generally higher (~1.5-3 times) than those in Guangzhou, the mixing states of the IM-containing particles at these two sites were only slightly different. Potassium-rich (K-rich) and potassium-sodium (KNa) particles were rarely found in Guangzhou; they accounted for ~15 % of the IM-containing particles in Beijing. Additionally, our results indicate that particles with higher acidity are favorable for IM formation. These findings help improving our knowledge of the mixing state, seasonal variation, and spatial distribution of IMs in urban aerosols, and the insights in influencing factors into IM formation provide valuable information for future studies of the atmospheric chemical processes associated with IMs.
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Affiliation(s)
- Xiufeng Lian
- 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; State Key Laboratory of Organic Geochemistry and Guangdong Provincial Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, PR China; Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou 510632, China
| | - Guigang Tang
- China National Environmental Monitoring Centre, Beijing 100012, China
| | - Xu Dao
- China National Environmental Monitoring Centre, Beijing 100012, China
| | - Xiaodong Hu
- State Key Laboratory of Organic Geochemistry and Guangdong Provincial Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, PR China
| | - Xin Xiong
- 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
| | - Guohua Zhang
- State Key Laboratory of Organic Geochemistry and Guangdong Provincial Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, PR China
| | - Zaihua Wang
- State Key Laboratory of Organic Geochemistry and Guangdong Provincial Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, PR China; Institute of Resources Utilization and Rare Earth Development, Guangdong Academy of Sciences, Guangzhou 510650, 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 510632, China; Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou 510632, China
| | - Xiaofei Wang
- Department of Environmental Science and Engineering, Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Fudan University, Shanghai 200433, China
| | - Xinhui Bi
- State Key Laboratory of Organic Geochemistry and Guangdong Provincial Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, PR China
| | - Lei 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
| | - 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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4
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Marten R, Xiao M, Rörup B, Wang M, Kong W, He XC, Stolzenburg D, Pfeifer J, Marie G, Wang DS, Scholz W, Baccarini A, Lee CP, Amorim A, Baalbaki R, Bell DM, Bertozzi B, Caudillo L, Chu B, Dada L, Duplissy J, Finkenzeller H, Carracedo LG, Granzin M, Hansel A, Heinritzi M, Hofbauer V, Kemppainen D, Kürten A, Lampimäki M, Lehtipalo K, Makhmutov V, Manninen HE, Mentler B, Petäjä T, Philippov M, Shen J, Simon M, Stozhkov Y, Tomé A, Wagner AC, Wang Y, Weber SK, Wu Y, Zauner-Wieczorek M, Curtius J, Kulmala M, Möhler O, Volkamer R, Winkler PM, Worsnop DR, Dommen J, Flagan RC, Kirkby J, Donahue NM, Lamkaddam H, Baltensperger U, El Haddad I. Survival of newly formed particles in haze conditions. ENVIRONMENTAL SCIENCE: ATMOSPHERES 2022; 2:491-499. [PMID: 35694134 PMCID: PMC9119030 DOI: 10.1039/d2ea00007e] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/23/2022] [Accepted: 03/24/2022] [Indexed: 11/21/2022]
Abstract
Intense new particle formation events are regularly observed under highly polluted conditions, despite the high loss rates of nucleated clusters. Higher than expected cluster survival probability implies either ineffective scavenging by pre-existing particles or missing growth mechanisms. Here we present experiments performed in the CLOUD chamber at CERN showing particle formation from a mixture of anthropogenic vapours, under condensation sinks typical of haze conditions, up to 0.1 s−1. We find that new particle formation rates substantially decrease at higher concentrations of pre-existing particles, demonstrating experimentally for the first time that molecular clusters are efficiently scavenged by larger sized particles. Additionally, we demonstrate that in the presence of supersaturated gas-phase nitric acid (HNO3) and ammonia (NH3), freshly nucleated particles can grow extremely rapidly, maintaining a high particle number concentration, even in the presence of a high condensation sink. Such high growth rates may explain the high survival probability of freshly formed particles under haze conditions. We identify under what typical urban conditions HNO3 and NH3 can be expected to contribute to particle survival during haze. Illustration of how ammonium nitrate formation can cause rapid growth of nucleating particles, increasing survival of particles in polluted conditions.![]()
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Affiliation(s)
- Ruby Marten
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen, Switzerland
| | - Mao Xiao
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen, Switzerland
| | - Birte Rörup
- Institute for Atmospheric and Earth System Research (INAR)/Physics, Faculty of Science, University of Helsinki, 00014 Helsinki, Finland
| | - Mingyi Wang
- Center for Atmospheric Particle Studies, Carnegie Mellon University, 15213 Pittsburgh, PA, USA
| | - Weimeng Kong
- California Institute of Technology, Division of Chemistry and Chemical Engineering 210-41, Pasadena, CA 91125, USA
| | - Xu-Cheng He
- Institute for Atmospheric and Earth System Research (INAR)/Physics, Faculty of Science, University of Helsinki, 00014 Helsinki, Finland
| | - Dominik Stolzenburg
- Institute for Atmospheric and Earth System Research (INAR)/Physics, Faculty of Science, University of Helsinki, 00014 Helsinki, Finland
| | - Joschka Pfeifer
- CERN, CH-1211 Geneva, Switzerland
- Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, 60438 Frankfurt am Main, Germany
| | - Guillaume Marie
- Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, 60438 Frankfurt am Main, Germany
| | - Dongyu S. Wang
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen, Switzerland
| | - Wiebke Scholz
- Institute of Ion Physics and Applied Physics, University of Innsbruck, 6020 Innsbruck, Austria
| | - Andrea Baccarini
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen, Switzerland
- Extreme Environments Research Laboratory (EERL), École Polytechnique Fédérale de Lausanne, Sion, CH, Switzerland
| | - Chuan Ping Lee
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen, Switzerland
| | - Antonio Amorim
- CENTRA, FCUL, University of Lisbon, 1749-016 Lisbon, Portugal
| | - Rima Baalbaki
- Institute for Atmospheric and Earth System Research (INAR)/Physics, Faculty of Science, University of Helsinki, 00014 Helsinki, Finland
| | - David M. Bell
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen, Switzerland
| | - Barbara Bertozzi
- Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
| | - Lucía Caudillo
- Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, 60438 Frankfurt am Main, Germany
| | - Biwu Chu
- Institute for Atmospheric and Earth System Research (INAR)/Physics, Faculty of Science, University of Helsinki, 00014 Helsinki, Finland
| | - Lubna Dada
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen, Switzerland
| | - Jonathan Duplissy
- California Institute of Technology, Division of Chemistry and Chemical Engineering 210-41, Pasadena, CA 91125, USA
- Helsinki Institute of Physics (HIP)/Physics, Faculty of Science, University of Helsinki, 00014 Helsinki, Finland
| | - Henning Finkenzeller
- Department of Chemistry, CIRES, University of Colorado Boulder, 215 UCB, Boulder, 80309, CO, USA
| | | | - Manuel Granzin
- Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, 60438 Frankfurt am Main, Germany
| | - Armin Hansel
- Institute of Ion Physics and Applied Physics, University of Innsbruck, 6020 Innsbruck, Austria
| | - Martin Heinritzi
- Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, 60438 Frankfurt am Main, Germany
| | - Victoria Hofbauer
- Center for Atmospheric Particle Studies, Carnegie Mellon University, 15213 Pittsburgh, PA, USA
| | - Deniz Kemppainen
- Institute for Atmospheric and Earth System Research (INAR)/Physics, Faculty of Science, University of Helsinki, 00014 Helsinki, Finland
| | - Andreas Kürten
- Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, 60438 Frankfurt am Main, Germany
| | - Markus Lampimäki
- Institute for Atmospheric and Earth System Research (INAR)/Physics, Faculty of Science, University of Helsinki, 00014 Helsinki, Finland
| | - Katrianne Lehtipalo
- Institute for Atmospheric and Earth System Research (INAR)/Physics, Faculty of Science, University of Helsinki, 00014 Helsinki, Finland
- Finnish Meteorological Institute, Helsinki, Finland
| | - Vladimir Makhmutov
- Lebedev Physical Institute of the Russian Academy of Sciences, Leninsky Prospekt, 53, Moscow, 119991, Russian Federation
| | | | - Bernhard Mentler
- Institute of Ion Physics and Applied Physics, University of Innsbruck, 6020 Innsbruck, Austria
| | - Tuukka Petäjä
- Institute for Atmospheric and Earth System Research (INAR)/Physics, Faculty of Science, University of Helsinki, 00014 Helsinki, Finland
| | - Maxim Philippov
- Lebedev Physical Institute of the Russian Academy of Sciences, Leninsky Prospekt, 53, Moscow, 119991, Russian Federation
| | - Jiali Shen
- Institute for Atmospheric and Earth System Research (INAR)/Physics, Faculty of Science, University of Helsinki, 00014 Helsinki, Finland
| | - Mario Simon
- Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, 60438 Frankfurt am Main, Germany
| | - Yuri Stozhkov
- Lebedev Physical Institute of the Russian Academy of Sciences, Leninsky Prospekt, 53, Moscow, 119991, Russian Federation
| | - António Tomé
- IDL-Universidade da Beira Interior, 6201-001 Covilhã, Portugal
| | - Andrea C. Wagner
- Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, 60438 Frankfurt am Main, Germany
| | - Yonghong Wang
- Institute for Atmospheric and Earth System Research (INAR)/Physics, Faculty of Science, University of Helsinki, 00014 Helsinki, Finland
| | | | - Yusheng Wu
- Institute for Atmospheric and Earth System Research (INAR)/Physics, Faculty of Science, University of Helsinki, 00014 Helsinki, Finland
| | - Marcel Zauner-Wieczorek
- Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, 60438 Frankfurt am Main, Germany
| | - Joachim Curtius
- Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, 60438 Frankfurt am Main, Germany
| | - Markku Kulmala
- Institute for Atmospheric and Earth System Research (INAR)/Physics, Faculty of Science, University of Helsinki, 00014 Helsinki, Finland
| | - Ottmar Möhler
- Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
| | - Rainer Volkamer
- Department of Chemistry, CIRES, University of Colorado Boulder, 215 UCB, Boulder, 80309, CO, USA
| | - Paul M. Winkler
- Faculty of Physics, University of Vienna, Boltzmanngasse 5, A-1090 Vienna, Austria
| | | | - Josef Dommen
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen, Switzerland
| | - Richard C. Flagan
- California Institute of Technology, Division of Chemistry and Chemical Engineering 210-41, Pasadena, CA 91125, USA
| | - Jasper Kirkby
- CERN, CH-1211 Geneva, Switzerland
- Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, 60438 Frankfurt am Main, Germany
| | - Neil M. Donahue
- Center for Atmospheric Particle Studies, Carnegie Mellon University, 15213 Pittsburgh, PA, USA
| | - Houssni Lamkaddam
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen, Switzerland
| | - Urs Baltensperger
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen, Switzerland
| | - Imad El Haddad
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen, Switzerland
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5
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Tang G, Wang Y, Liu Y, Wu S, Huang X, Yang Y, Wang Y, Ma J, Bao X, Liu Z, Ji D, Li T, Li X, Wang Y. Low particulate nitrate in the residual layer in autumn over the North China Plain. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 782:146845. [PMID: 33848867 DOI: 10.1016/j.scitotenv.2021.146845] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Revised: 03/02/2021] [Accepted: 03/27/2021] [Indexed: 06/12/2023]
Abstract
High ozone concentrations promote the formation of nitrate in the nocturnal residual layer (RL), but this phenomenon has not been confirmed by direct observation. In this study, ozone, water-soluble ions in PM2.5 and the corresponding meteorological factors in the stable boundary layer, RL and mixing layer were observed by portable instruments carried on a tethered balloon over the North China Plain. The ozone concentration significantly increased in the RL compared to that in the stable boundary layer, while particulate nitrate significantly decreased, except in the clouds. Unfavorable environmental conditions, i.e., high temperature, low relative humidity, low aerosol surface area, and weak particle acidity, are not conducive to dinitrogen pentoxide uptake and hydrolysis to form particulate nitrate in the RL, and are conducive to the volatilization of nitrate to a gaseous state. Thus, our observations differed from traditional reports and confirmed that the morning peak of particulate nitrate at ground level is not related to the downward transport of nitrate from the RL. In addition, evidence for nitrate formation in cloudy weather is provided, and the possible impact on ozone is discussed.
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Affiliation(s)
- Guiqian Tang
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; Center for Excellence in Urban Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yinghong Wang
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Yusi Liu
- State Key Laboratory of Severe Weather & Key Laboratory for Atmospheric Chemistry of China Meteorology Administration, Chinese Academy of Meteorological Sciences, Beijing 100081, China
| | - Shuang Wu
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Xiaojuan Huang
- Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu 610225, China
| | - Yang Yang
- Weather Modification Office of Hebei Province, Shijiazhuang 050021, China
| | - Yiming Wang
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jiao Ma
- Center for Monsoon System Research, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100190, China
| | - Xiaolei Bao
- Hebei Provincial Academy of Environmental Sciences, Shijiazhuang 050037, China
| | - Zirui Liu
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Dongsheng Ji
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Tingting Li
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519000, China
| | - Xin Li
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Yuesi Wang
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; Center for Excellence in Urban Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; University of Chinese Academy of Sciences, Beijing 100049, China.
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6
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Tao Y, Murphy JG. Simple Framework to Quantify the Contributions from Different Factors Influencing Aerosol pH Based on NH x Phase-Partitioning Equilibrium. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2021; 55:10310-10319. [PMID: 34260224 DOI: 10.1021/acs.est.1c03103] [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: 06/13/2023]
Abstract
While aerosol pH is among the most important parameters in atmospheric chemistry, it can be challenging to have a priori knowledge of the factors that are most strongly influencing the pH in a specific environment. In this study, we present a calculation method to more intuitively quantify the relationship between aerosol pH and its influencing factors, including gaseous NH3 concentration, particle properties, relative humidity, temperature, and nonvolatile cations, based on the NHx phase-partitioning equilibrium used in the E-AIM thermodynamic model. The applications of this calculation framework include (1) expressing the pH values directly as the function of influencing factors, (2) quantitatively studying the contribution of different factors to pH value changes, and (3) decomposing the standard deviation of pH values to find the dominant influencing factors on total pH fluctuations. This calculation framework provides a direct, quantitative, and intuitive approach to interpret pH values and differences. The relationship derived from pH and phase partitioning of semivolatile NHx can be extended to other phase-partitioning pairs as well. Our method provides a new way to quantitatively study pH and allows the pH studies conducted in different locations and meteorological conditions to be more easily compared and interpreted.
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Affiliation(s)
- Ye Tao
- Department of Physical and Environmental Sciences, University of Toronto Scarborough, Toronto M1C 1A4, Ontario, Canada
| | - Jennifer G Murphy
- Department of Chemistry, University of Toronto, Toronto M5S 3H6, Ontario, Canada
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7
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Su J, Zhao P, Ding J, Du X, Dou Y. Insights into measurements of water-soluble ions in PM 2.5 and their gaseous precursors in Beijing. J Environ Sci (China) 2021; 102:123-137. [PMID: 33637238 DOI: 10.1016/j.jes.2020.08.031] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Revised: 08/27/2020] [Accepted: 08/30/2020] [Indexed: 06/12/2023]
Abstract
To better understand the characteristics and transformation mechanisms of secondary inorganic aerosols, hourly mass concentrations of water-soluble inorganic ions (WSIIs) in PM2.5 and their gaseous precursors were measured online from 2016 to 2018 at an urban site in Beijing. Seasonal and diurnal variations in water-soluble ions and gaseous precursors were discussed and their gas-particle conversion and partitioning were also examined, some related parameters were characterized. The (TNH3) Rich was also defined to describe the variations of the excess NH3 in different seasons. In addition, a sensitivity test was carried out by using ISORROPIA II to outline the driving factors of gas-particle partitioning. In Beijing, the relative contribution of nitrate to PM2.5 has increased markedly in recent years, especially under polluted conditions. In the four seasons, only a small portion of NO2 in the atmosphere was converted into total nitrate (TNO3), and more than 80% of TNO3 occurred in the form of nitrate due to the abundant ammonia. The concentration of total ammonia (TNH3) was much higher than that required to neutralize acid gases, and most of the TNH3 occurred as gaseous NH3. The nitrous acid (HONO) concentration was highly correlated with NH3 concentration and had increased significantly in Beijing compared with previous studies. The total chloride (TCl) was the highest in winter, and ε(Cl-) was more sensitive to variations in the ambient temperature (T) and relative humidity (RH) than ε(NO3-).
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Affiliation(s)
- Jie Su
- Institute of Urban Meteorology, China Meteorological Administration, Beijing 100089, China
| | - Pusheng Zhao
- Institute of Urban Meteorology, China Meteorological Administration, Beijing 100089, China.
| | - Jing Ding
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China
| | - Xiang Du
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China
| | - Youjun Dou
- Institute of Urban Meteorology, China Meteorological Administration, Beijing 100089, China
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8
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Oberschelp C, Pfister S, Hellweg S. Globally Regionalized Monthly Life Cycle Impact Assessment of Particulate Matter. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2020; 54:16028-16038. [PMID: 33226786 DOI: 10.1021/acs.est.0c05691] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
This work provides a globally regionalized approach for quantifying particulate matter (PM2.5) health impacts. Atmospheric transport and pollutant chemistry of primary particulate matter, sulfur dioxide (SO2), nitrogen oxide (NOx), and ammonia (NH3) from stack emissions were modeled and used to calculate monthly high-resolution maps of global characterization factors that can be used for life cycle impact assessment (LCIA) and risk assessment. These characterization factors are applied to a global data set of coal power emissions. The results show large regional and temporal differences in health impacts per kg of emission and per amount of coal power generation (5-1300 DALY TWh-1). While small emission reductions of PM2.5 and SO2 from coal power lead to similar health benefits across densely populated areas of Asia and Europe, we find that larger emission reductions result in up to three times higher health benefits in parts of Asia because of the nonlinear health responses to pollution exposure changes. Hence, many regions in Asia benefit disproportionately much from large coal power PM2.5 and SO2 emission reductions. NOx emission reductions can lead to equally high health benefits, where unfavorable atmospheric conditions coincide with elevated NH3 background pollution and large population (e.g., in Central Europe, Indonesia, or Japan but also numerous other places).
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Affiliation(s)
- Christopher Oberschelp
- ETH Zürich, Institute of Environmental Engineering, John-von-Neumann-Weg 9, CH-8093 Zurich, Switzerland
| | - Stephan Pfister
- ETH Zürich, Institute of Environmental Engineering, John-von-Neumann-Weg 9, CH-8093 Zurich, Switzerland
| | - Stefanie Hellweg
- ETH Zürich, Institute of Environmental Engineering, John-von-Neumann-Weg 9, CH-8093 Zurich, Switzerland
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9
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Nazaroff WW, Weschler CJ. Indoor acids and bases. INDOOR AIR 2020; 30:559-644. [PMID: 32233033 DOI: 10.1111/ina.12670] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Revised: 03/18/2020] [Accepted: 03/19/2020] [Indexed: 05/15/2023]
Abstract
Numerous acids and bases influence indoor air quality. The most abundant of these species are CO2 (acidic) and NH3 (basic), both emitted by building occupants. Other prominent inorganic acids are HNO3 , HONO, SO2 , H2 SO4 , HCl, and HOCl. Prominent organic acids include formic, acetic, and lactic; nicotine is a noteworthy organic base. Sources of N-, S-, and Cl-containing acids can include ventilation from outdoors, indoor combustion, consumer product use, and chemical reactions. Organic acids are commonly more abundant indoors than outdoors, with indoor sources including occupants, wood, and cooking. Beyond NH3 and nicotine, other noteworthy bases include inorganic and organic amines. Acids and bases partition indoors among the gas-phase, airborne particles, bulk water, and surfaces; relevant thermodynamic parameters governing the partitioning are the acid-dissociation constant (Ka ), Henry's law constant (KH ), and the octanol-air partition coefficient (Koa ). Condensed-phase water strongly influences the fate of indoor acids and bases and is also a medium for chemical interactions. Indoor surfaces can be large reservoirs of acids and bases. This extensive review of the state of knowledge establishes a foundation for future inquiry to better understand how acids and bases influence the suitability of indoor environments for occupants, cultural artifacts, and sensitive equipment.
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Affiliation(s)
- William W Nazaroff
- Department of Civil and Environmental Engineering, University of California, Berkeley, CA, USA
| | - Charles J Weschler
- Environmental and Occupational Health Sciences Institute, Rutgers University, Piscataway, NJ, USA
- International Centre for Indoor Environment and Energy, Technical University of Denmark, Lyngby, Denmark
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10
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Füchtner S, Brock-Nannestad T, Smeds A, Fredriksson M, Pilgård A, Thygesen LG. Hydrophobic and Hydrophilic Extractives in Norway Spruce and Kurile Larch and Their Role in Brown-Rot Degradation. FRONTIERS IN PLANT SCIENCE 2020; 11:855. [PMID: 32695126 PMCID: PMC7339921 DOI: 10.3389/fpls.2020.00855] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2019] [Accepted: 05/27/2020] [Indexed: 05/06/2023]
Abstract
Extractives found in the heartwood of a moderately durable conifer (Larix gmelinii var. japonica) were compared with those found in a non-durable one (Picea abies). We identified and quantified heartwood extractives by extraction with solvents of different polarities and gas chromatography with mass spectral detection (GC-MS). Among the extracted compounds, there was a much higher amount of hydrophilic phenolics in larch (flavonoids) than in spruce (lignans). Both species had similar resin acid and fatty acid contents. The hydrophobic resin components are considered fungitoxic and the more hydrophilic components are known for their antioxidant activity. To ascertain the importance of the different classes of extractives, samples were partially extracted prior to subjection to the brown-rot fungus Rhodonia placenta for 2-8 weeks. Results indicated that the most important (but rather inefficient) defense in spruce came from the fungitoxic resin, while large amounts of flavonoids played a key role in larch defense. Possible moisture exclusion effects of larch extractives were quantified via the equilibrium moisture content of partially extracted samples, but were found to be too small to play any significant role in the defense against incipient brow-rot attack.
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Affiliation(s)
- Sophie Füchtner
- Department of Geoscience and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | | | - Annika Smeds
- Laboratory of Wood and Paper Chemistry, Johan Gadolin Process Chemistry Centre, Åbo Akademi University, Turku, Finland
| | - Maria Fredriksson
- Faculty of Engineering, Division of Building Materials, Lund University, Lund, Sweden
| | - Annica Pilgård
- Wood Research Munich, Technical University of Munich, Munich, Germany
- Research Institutes of Sweden (RISE), Gothenburg, Sweden
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11
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Omelekhina Y, Eriksson A, Canonaco F, Prevot ASH, Nilsson P, Isaxon C, Pagels J, Wierzbicka A. Cooking and electronic cigarettes leading to large differences between indoor and outdoor particle composition and concentration measured by aerosol mass spectrometry. ENVIRONMENTAL SCIENCE. PROCESSES & IMPACTS 2020; 22:1382-1396. [PMID: 32412028 DOI: 10.1039/d0em00061b] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
We spend about two thirds of our time in private homes where airborne particles of indoor and outdoor origins are present. The negative health effects of exposure to outdoor particles are known. The characteristics of indoor airborne particles, though, are not well understood. This study assesses the differences in chemical composition of PM1 (<1 μm) inside and outside of an occupied Swedish residence in real time with a High-Resolution Time-of-Flight Aerosol Mass Spectrometer (HR-ToF-AMS) and an Aethalometer. The chemical composition and concentration of particles indoors showed large differences compared to outdoors. The average indoor concentration was 15 μg m-3 and was higher than the outdoor 7 μg m-3. Organics dominated indoor particle composition (86% of the total mass) and originated from indoor sources (cooking, e-cigarette vaping). The average indoor to outdoor ratios were 5.5 for organic matter, 1.0 for black carbon, 0.6 for sulphate, 0.1 for nitrate, 0.2 for ammonium and 0.2 for chloride. The occupancy time accounted for 97% of the total measured period. Four factors were identified in the source apportionment of organic particle fraction by applying positive matrix factorization (PMF): two cooking factors, one e-cigarette factor and one outdoor contribution (OOA) organic factor penetrated from outside.
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Affiliation(s)
- Yuliya Omelekhina
- Ergonomics and Aerosol Technology, Lund University, 221 00, Lund, Sweden.
| | - Axel Eriksson
- Ergonomics and Aerosol Technology, Lund University, 221 00, Lund, Sweden. and Nuclear Physics Department, Lund University, 221 00, Lund, Sweden
| | - Francesco Canonaco
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen PSI, Switzerland
| | - Andre S H Prevot
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen PSI, Switzerland
| | - Patrik Nilsson
- Ergonomics and Aerosol Technology, Lund University, 221 00, Lund, Sweden.
| | - Christina Isaxon
- Ergonomics and Aerosol Technology, Lund University, 221 00, Lund, Sweden.
| | - Joakim Pagels
- Ergonomics and Aerosol Technology, Lund University, 221 00, Lund, Sweden.
| | - Aneta Wierzbicka
- Ergonomics and Aerosol Technology, Lund University, 221 00, Lund, Sweden.
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12
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Wang M, Kong W, Marten R, He XC, Chen D, Pfeifer J, Heitto A, Kontkanen J, Dada L, Kürten A, Yli-Juuti T, Manninen HE, Amanatidis S, Amorim A, Baalbaki R, Baccarini A, Bell DM, Bertozzi B, Bräkling S, Brilke S, Murillo LC, Chiu R, Chu B, De Menezes LP, Duplissy J, Finkenzeller H, Carracedo LG, Granzin M, Guida R, Hansel A, Hofbauer V, Krechmer J, Lehtipalo K, Lamkaddam H, Lampimäki M, Lee CP, Makhmutov V, Marie G, Mathot S, Mauldin RL, Mentler B, Müller T, Onnela A, Partoll E, Petäjä T, Philippov M, Pospisilova V, Ranjithkumar A, Rissanen M, Rörup B, Scholz W, Shen J, Simon M, Sipilä M, Steiner G, Stolzenburg D, Tham YJ, Tomé A, Wagner AC, Wang DS, Wang Y, Weber SK, Winkler PM, Wlasits PJ, Wu Y, Xiao M, Ye Q, Zauner-Wieczorek M, Zhou X, Volkamer R, Riipinen I, Dommen J, Curtius J, Baltensperger U, Kulmala M, Worsnop DR, Kirkby J, Seinfeld JH, El-Haddad I, Flagan RC, Donahue NM. Rapid growth of new atmospheric particles by nitric acid and ammonia condensation. Nature 2020; 581:184-189. [PMID: 32405020 PMCID: PMC7334196 DOI: 10.1038/s41586-020-2270-4] [Citation(s) in RCA: 79] [Impact Index Per Article: 19.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2019] [Accepted: 03/17/2020] [Indexed: 11/08/2022]
Abstract
A list of authors and their affiliations appears at the end of the paper New-particle formation is a major contributor to urban smog1,2, but how it occurs in cities is often puzzling3. If the growth rates of urban particles are similar to those found in cleaner environments (1-10 nanometres per hour), then existing understanding suggests that new urban particles should be rapidly scavenged by the high concentration of pre-existing particles. Here we show, through experiments performed under atmospheric conditions in the CLOUD chamber at CERN, that below about +5 degrees Celsius, nitric acid and ammonia vapours can condense onto freshly nucleated particles as small as a few nanometres in diameter. Moreover, when it is cold enough (below -15 degrees Celsius), nitric acid and ammonia can nucleate directly through an acid-base stabilization mechanism to form ammonium nitrate particles. Given that these vapours are often one thousand times more abundant than sulfuric acid, the resulting particle growth rates can be extremely high, reaching well above 100 nanometres per hour. However, these high growth rates require the gas-particle ammonium nitrate system to be out of equilibrium in order to sustain gas-phase supersaturations. In view of the strong temperature dependence that we measure for the gas-phase supersaturations, we expect such transient conditions to occur in inhomogeneous urban settings, especially in wintertime, driven by vertical mixing and by strong local sources such as traffic. Even though rapid growth from nitric acid and ammonia condensation may last for only a few minutes, it is nonetheless fast enough to shepherd freshly nucleated particles through the smallest size range where they are most vulnerable to scavenging loss, thus greatly increasing their survival probability. We also expect nitric acid and ammonia nucleation and rapid growth to be important in the relatively clean and cold upper free troposphere, where ammonia can be convected from the continental boundary layer and nitric acid is abundant from electrical storms4,5.
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Affiliation(s)
- Mingyi Wang
- Center for Atmospheric Particle Studies, Carnegie Mellon University, Pittsburgh, PA, USA
- Department of Chemistry, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Weimeng Kong
- Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Ruby Marten
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, Villigen, Switzerland
| | - Xu-Cheng He
- Institute for Atmospheric and Earth System Research (INAR), University of Helsinki, Helsinki, Finland
| | - Dexian Chen
- Center for Atmospheric Particle Studies, Carnegie Mellon University, Pittsburgh, PA, USA
- Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Joschka Pfeifer
- CERN, the European Organization for Nuclear Research, Geneva, Switzerland
| | - Arto Heitto
- Department of Applied Physics, University of Eastern Finland, Kuopio, Finland
| | - Jenni Kontkanen
- Institute for Atmospheric and Earth System Research (INAR), University of Helsinki, Helsinki, Finland
| | - Lubna Dada
- Institute for Atmospheric and Earth System Research (INAR), University of Helsinki, Helsinki, Finland
| | - Andreas Kürten
- Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Taina Yli-Juuti
- Department of Applied Physics, University of Eastern Finland, Kuopio, Finland
| | - Hanna E Manninen
- CERN, the European Organization for Nuclear Research, Geneva, Switzerland
| | - Stavros Amanatidis
- Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA, USA
| | - António Amorim
- CENTRA and Faculdade de Ciências da Universidade de Lisboa, Campo Grande, Lisbon, Portugal
| | - Rima Baalbaki
- Institute for Atmospheric and Earth System Research (INAR), University of Helsinki, Helsinki, Finland
| | - Andrea Baccarini
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, Villigen, Switzerland
| | - David M Bell
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, Villigen, Switzerland
| | - Barbara Bertozzi
- Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | | | - Sophia Brilke
- Faculty of Physics, University of Vienna, Vienna, Austria
| | - Lucía Caudillo Murillo
- Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Randall Chiu
- Department of Chemistry and CIRES, University of Colorado at Boulder, Boulder, CO, USA
| | - Biwu Chu
- Institute for Atmospheric and Earth System Research (INAR), University of Helsinki, Helsinki, Finland
| | | | - Jonathan Duplissy
- Institute for Atmospheric and Earth System Research (INAR), University of Helsinki, Helsinki, Finland
- Helsinki Institute of Physics, University of Helsinki, Helsinki, Finland
| | - Henning Finkenzeller
- Department of Chemistry and CIRES, University of Colorado at Boulder, Boulder, CO, USA
| | | | - Manuel Granzin
- Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Roberto Guida
- CERN, the European Organization for Nuclear Research, Geneva, Switzerland
| | - Armin Hansel
- Institute for Ion Physics and Applied Physics, University of Innsbruck, Innsbruck, Austria
- Ionicon Analytik, Innsbruck, Austria
| | - Victoria Hofbauer
- Center for Atmospheric Particle Studies, Carnegie Mellon University, Pittsburgh, PA, USA
- Department of Chemistry, Carnegie Mellon University, Pittsburgh, PA, USA
| | | | - Katrianne Lehtipalo
- Institute for Atmospheric and Earth System Research (INAR), University of Helsinki, Helsinki, Finland
- Finnish Meteorological Institute, Helsinki, Finland
| | - Houssni Lamkaddam
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, Villigen, Switzerland
| | - Markus Lampimäki
- Institute for Atmospheric and Earth System Research (INAR), University of Helsinki, Helsinki, Finland
| | - Chuan Ping Lee
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, Villigen, Switzerland
| | - Vladimir Makhmutov
- P.N. Lebedev Physical Institute of the Russian Academy of Sciences, Moscow, Russia
| | - Guillaume Marie
- Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Serge Mathot
- CERN, the European Organization for Nuclear Research, Geneva, Switzerland
| | - Roy L Mauldin
- Center for Atmospheric Particle Studies, Carnegie Mellon University, Pittsburgh, PA, USA
- Department of Chemistry, Carnegie Mellon University, Pittsburgh, PA, USA
- Department of Atmospheric and Oceanic Sciences, University of Colorado at Boulder, Boulder, CO, USA
| | - Bernhard Mentler
- Institute for Ion Physics and Applied Physics, University of Innsbruck, Innsbruck, Austria
| | - Tatjana Müller
- Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Antti Onnela
- CERN, the European Organization for Nuclear Research, Geneva, Switzerland
| | - Eva Partoll
- Institute for Ion Physics and Applied Physics, University of Innsbruck, Innsbruck, Austria
| | - Tuukka Petäjä
- Institute for Atmospheric and Earth System Research (INAR), University of Helsinki, Helsinki, Finland
| | - Maxim Philippov
- P.N. Lebedev Physical Institute of the Russian Academy of Sciences, Moscow, Russia
| | - Veronika Pospisilova
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, Villigen, Switzerland
| | | | - Matti Rissanen
- Institute for Atmospheric and Earth System Research (INAR), University of Helsinki, Helsinki, Finland
- Aerosol Physics Laboratory, Physics Unit, Faculty of Engineering and Natural Sciences, Tampere University, Tampere, Finland
| | - Birte Rörup
- Institute for Atmospheric and Earth System Research (INAR), University of Helsinki, Helsinki, Finland
| | - Wiebke Scholz
- Institute for Ion Physics and Applied Physics, University of Innsbruck, Innsbruck, Austria
- Ionicon Analytik, Innsbruck, Austria
| | - Jiali Shen
- Institute for Atmospheric and Earth System Research (INAR), University of Helsinki, Helsinki, Finland
| | - Mario Simon
- Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Mikko Sipilä
- Institute for Atmospheric and Earth System Research (INAR), University of Helsinki, Helsinki, Finland
| | - Gerhard Steiner
- Institute for Ion Physics and Applied Physics, University of Innsbruck, Innsbruck, Austria
- Grimm Aerosol Technik Ainring, Ainring, Germany
| | - Dominik Stolzenburg
- Institute for Atmospheric and Earth System Research (INAR), University of Helsinki, Helsinki, Finland
- Faculty of Physics, University of Vienna, Vienna, Austria
| | - Yee Jun Tham
- Institute for Atmospheric and Earth System Research (INAR), University of Helsinki, Helsinki, Finland
| | - António Tomé
- Institute Infante Dom Luíz, University of Beira Interior, Covilhã, Portugal
| | - Andrea C Wagner
- Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, Frankfurt am Main, Germany
- Department of Chemistry and CIRES, University of Colorado at Boulder, Boulder, CO, USA
| | - Dongyu S Wang
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, Villigen, Switzerland
| | - Yonghong Wang
- Institute for Atmospheric and Earth System Research (INAR), University of Helsinki, Helsinki, Finland
| | - Stefan K Weber
- CERN, the European Organization for Nuclear Research, Geneva, Switzerland
| | - Paul M Winkler
- Faculty of Physics, University of Vienna, Vienna, Austria
| | | | - Yusheng Wu
- Institute for Atmospheric and Earth System Research (INAR), University of Helsinki, Helsinki, Finland
| | - Mao Xiao
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, Villigen, Switzerland
| | - Qing Ye
- Center for Atmospheric Particle Studies, Carnegie Mellon University, Pittsburgh, PA, USA
- Department of Chemistry, Carnegie Mellon University, Pittsburgh, PA, USA
- Department of Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Marcel Zauner-Wieczorek
- Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Xueqin Zhou
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, Villigen, Switzerland
| | - Rainer Volkamer
- Department of Chemistry and CIRES, University of Colorado at Boulder, Boulder, CO, USA
| | - Ilona Riipinen
- Department of Applied Environmental Science, University of Stockholm, Stockholm, Sweden
| | - Josef Dommen
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, Villigen, Switzerland
| | - Joachim Curtius
- Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Urs Baltensperger
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, Villigen, Switzerland
| | - Markku Kulmala
- Institute for Atmospheric and Earth System Research (INAR), University of Helsinki, Helsinki, Finland
- Helsinki Institute of Physics, University of Helsinki, Helsinki, Finland
- Joint International Research Laboratory of Atmospheric and Earth System Sciences, Nanjing University, Nanjing, China
- Aerosol and Haze Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, China
| | - Douglas R Worsnop
- Institute for Atmospheric and Earth System Research (INAR), University of Helsinki, Helsinki, Finland
- Aerodyne Research, Billerica, MA, USA
| | - Jasper Kirkby
- CERN, the European Organization for Nuclear Research, Geneva, Switzerland
- Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - John H Seinfeld
- Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Imad El-Haddad
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, Villigen, Switzerland
| | - Richard C Flagan
- Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Neil M Donahue
- Center for Atmospheric Particle Studies, Carnegie Mellon University, Pittsburgh, PA, USA.
- Department of Chemistry, Carnegie Mellon University, Pittsburgh, PA, USA.
- Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA.
- Department of Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, PA, USA.
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13
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Xie Y, Liu Z, Wen T, Huang X, Liu J, Tang G, Yang Y, Li X, Shen R, Hu B, Wang Y. Characteristics of chemical composition and seasonal variations of PM 2.5 in Shijiazhuang, China: Impact of primary emissions and secondary formation. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 677:215-229. [PMID: 31055101 DOI: 10.1016/j.scitotenv.2019.04.300] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Revised: 04/18/2019] [Accepted: 04/20/2019] [Indexed: 05/05/2023]
Abstract
North China registers frequent air pollution episodes from high PM2.5 concentrations. Shijiazhuang is located at the intensive industrial zone of this region, but there is insufficient data on the chemical composition of PM2.5 and its sources in this city. In this study, the chemical and seasonal characteristics of PM2.5 in Shijiazhuang were investigated based on 12-h integrated PM2.5 measurements made over eight 1-month periods in each season between June 2014 and April 2016 (486 samples). The eight-season average concentration of PM2.5 was 138.8 μg m-3, and the major chemical components were secondary inorganic aerosol (SIA) species of sulfate, nitrate, and ammonium (41.5%), followed by organic matter (25.9%). The mass concentration and most of the chemical components of PM2.5 showed clear seasonal variation, with a winter-high and summer-low pattern. SO42- and NO3- were the dominant components at each pollution level in summer and autumn (18.1%-30.6% and 14.2%-27.0%, respectively). Sufficient gaseous oxidants (O3) concentrations and suitable meteorology conditions were observed in these two seasons. Highest SOR (0.61), SO42-/EC(10.8) and NOR (0.58), NO3-/EC (5.9) were found in summer and autumn, which indicated intense secondary transformation in these two seasons. Organic matter was the dominant species in winter, which increased from 17.1 μg m-3 for clean days (28.7% of PM2.5) to 169.1 μg m-3 (38.4% of PM2.5). The accumulation of primary emissions (coal combustion and biomass burning) was responsible for the increasing OM trend (especially for POC). The highest and leading proportion of mineral dust occurred in spring (20.3%-46.5%) as a result of higher wind speeds (up to 3 m/s). Potential source contribution function (PSCF) analyses implied that the border areas of Hebei, Henan and Shandong Provinces, together with the central area of Shanxi Province, contributed significantly to the PM2.5 pollution in Shijiazhuang, especially in autumn and winter.
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Affiliation(s)
- Yuzhu Xie
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; University of Chinese Academy of Science, Beijing 100049, China
| | - Zirui Liu
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China.
| | - Tianxue Wen
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Xiaojuan Huang
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu 610225, China
| | - Jingyun Liu
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; Department of Environmental Science and Engineering, Beijing University of Chemical Technology, Beijing 10029, China
| | - Guiqian Tang
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Yang Yang
- Weather Modification Office of Hebei Province, Shijiazhuang, China
| | - Xingru Li
- Department of Chemistry, Analytical and Testing Center, Capital Normal University, Beijing 100048, China
| | - Rongrong Shen
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Bo Hu
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Yuesi Wang
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Science, Xiamen 361021, China; University of Chinese Academy of Science, Beijing 100049, China
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14
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Wei N, Xu Z, Liu J, Wang G, Liu W, Zhuoga D, Xiao D, Yao J. Characteristics of size distributions and sources of water-soluble ions in Lhasa during monsoon and non-monsoon seasons. J Environ Sci (China) 2019; 82:155-168. [PMID: 31133261 DOI: 10.1016/j.jes.2019.02.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2018] [Revised: 02/08/2019] [Accepted: 02/18/2019] [Indexed: 06/09/2023]
Abstract
To understand the physical and chemical characteristics, particle size distribution and sources of size-separated aerosols in Lhasa, which is located on the Tibetan Plateau (TP), six sizes of aerosol samples were collected in Lhasa in 2014. Ca2+, NH4+, NO3-, SO42- and Cl- were the dominant ions. The ratio of cation equivalents (CE) to anion equivalents (AE) for each particle size segment indicated that the atmospheric aerosols in Lhasa were alkaline. SO42- and NO3- could be neutralized by Ca2+, but could not be neutralized by NH4+, according to the [NH4+]/[NO3- + SO42-] and [Ca2+]/[NO3- + SO42-] ratios. Mobile sources were dominant in PM0.95-1.5, PM1.5-3 and PM3-7.2, while stationary sources were dominant in the other three size fractions according to the [NO3-]/[SO42-] ratios. The particle size distribution of all water-soluble ions during monsoon and non-monsoon periods was characterized by a bimodal distribution due to the different sources and formation mechanisms, and it was revealed that different ions had different sources in different seasons and different particle size segments by combining particle size distribution with correlation analysis. Source analysis of aerosols in Lhasa was performed using the Principal component analysis (PCA) for the first time, which revealed that combustion sources, motor vehicle exhaust, photochemical reaction sources and various types of dust were the main sources of Lhasa aerosols. Furthermore, Lhasa's air quality was also affected by long-distance transmission, expressed as pollutants from South Asia and West Asia, which were transmitted to Lhasa according to backward trajectory analysis.
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Affiliation(s)
- Nannan Wei
- School of Nuclear Science and Technology, University of South China, Hengyang 421001, China; Department of Nuclear Reactor Engineering, Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - Zhiyou Xu
- School of Nuclear Science and Technology, University of South China, Hengyang 421001, China
| | - Junwen Liu
- Institute for Environmental and Climate Research, Jinan University, Guangzhou 510632, China
| | - Guanghua Wang
- Department of Nuclear Reactor Engineering, Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - Wei Liu
- Department of Nuclear Reactor Engineering, Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - Deqing Zhuoga
- Meteorological Service Center of Tibet Autonomous Region Meteorological Bureau, Lhasa 850000, China
| | - Detao Xiao
- School of Nuclear Science and Technology, University of South China, Hengyang 421001, China.
| | - Jian Yao
- Department of Nuclear Reactor Engineering, Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China.
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15
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Wang F, Sun Y, Tao Y, Guo Y, Li Z, Zhao X, Zhou S. Pollution characteristics in a dusty season based on highly time-resolved online measurements in northwest China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 650:2545-2558. [PMID: 30293007 DOI: 10.1016/j.scitotenv.2018.09.382] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/24/2018] [Revised: 09/28/2018] [Accepted: 09/30/2018] [Indexed: 06/08/2023]
Abstract
To investigate the pollution characteristics and potential sources in a dusty season, an online analyzer was used to measure trace gases and major water-soluble ions in PM10 from April 1st to May 29th, 2011 in Lanzhou. The average concentrations of HONO, HNO3, HCl, SO2 and NH3 were 0.93, 1.16, 0.48, 9.29 and 5.54 μg/m3, respectively, and 2.8, 2.76, 8.28 and 2.48 μg/m3 for Cl-, NO3-, SO42- and NH4+. In the non-dust period, diurnal variations of SO42-, NO3- and their gaseous precursors showed similar change trend. NH4+ showed unimodal pattern whereas NH3 illustrated a bimodal pattern. HCl and Cl- showed an opposite diurnal pattern. In the dust event, temporal profiles of HCl and Cl-, SO2 and SO42- all presented similar change trend, and SO42- and Cl- preceded dust ions (Ca2+ and Mg2+) 13 h. The ratios of NO3- to SO42- were 0.65 in the non-dust period and 0.31 in the dust event. In the dust event, the sulfur oxidation ratio (SOR) was a factor of 1.33 greater than that in the non-dust period, and [SO42-]/[SO2] was 2.31 times of that in the non-dust period. The source apportionment using Probabilistic Matrix Factorization (PMF) suggested that fugitive dust (58.09%), secondary aerosols (33.98%), and biomass burning (7.93%) were the major sources in the non-dust period whereas dust (67.01%), salt lake (29.68%), biomass burning (0.8%), and motor vehicle (2.51%) were the primary sources in the dust event. Concentration weighted trajectory (CWT) model indicated that NO3-, Cl- and K+ could be regarded as local source species, the potential sources of Na+, Mg2+ and Ca2+ concentrated in the two large areas with the one covered in the junction areas of Xinjiang, Qinghai and Gansu and another one covered the places around in Lanzhou, the potential sources of SO42- were mainly localized in the areas adjacent to Lanzhou.
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Affiliation(s)
- Fanglin Wang
- Key Laboratory of Western China's Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
| | - Yunlong Sun
- Key Laboratory of Western China's Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
| | - Yan Tao
- Key Laboratory of Western China's Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China.
| | - Yongtao Guo
- College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
| | - Zhongqin Li
- State Key Laboratory of Cryospheric Science/Tien Shan Glaciological Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Xiuge Zhao
- Key Laboratory of Western China's Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
| | - Sheng Zhou
- Key Laboratory of Western China's Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
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16
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Vasilyev F, Virolainen S, Sainio T. Numerical simulation of counter-current liquid–liquid extraction for recovering Co, Ni and Li from lithium-ion battery leachates of varying composition. Sep Purif Technol 2019. [DOI: 10.1016/j.seppur.2018.08.036] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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17
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Henneman LRF, Liu C, Chang H, Mulholland J, Tolbert P, Russell A. Air quality accountability: Developing long-term daily time series of pollutant changes and uncertainties in Atlanta, Georgia resulting from the 1990 Clean Air Act Amendments. ENVIRONMENT INTERNATIONAL 2019; 123:522-534. [PMID: 30622077 DOI: 10.1016/j.envint.2018.12.028] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2018] [Revised: 12/11/2018] [Indexed: 06/09/2023]
Abstract
The 1990 Clean Air Act Amendments codified major institutional changes relating to the management of air pollutants in the United States. Recent research years has attributed reduced emissions over the past two decades to regulations enacted under these Amendments, but none have separated long-term daily impacts of individual regulatory programs on multiple source categories under a consistent framework. Using daily emissions and air quality measurements along with a detailed review of national and local regulations promulgated after the Amendments, we quantify daily changes in emissions and air quality attributable to regulations on electricity generating units and on-road mobile sources. To quantify daily changes, we develop nine sets of counterfactual emissions and ambient air pollution concentration time series for 10 pollutants that assume individual regulatory programs and combinations thereof were not implemented. In addition to daily impacts, we estimate uncertainties in these results. These counterfactual daily ambient concentrations reveal high seasonality and increasing effectiveness of most regulations between 1999 and 2013. Monthly average counterfactual concentrations in scenarios that assume no new regulations on electricity generating units and mobile sources are greater than observed concentrations for all pollutants except ozone, which has seen increased wintertime concentrations accompany summertime decreases. By the end of the period, electricity generating unit emissions reductions under the Acid Rain Program and Clean Air Interstate Rule and their respective related local programs led to similar PM2.5 concentration decreases. Of the mobile source regulations, rules on gasoline and diesel vehicles led to similar reductions in annual PM2.5, and gasoline programs led to double the summertime ozone reductions as diesel programs. The nine sets of daily time series and their uncertainties were designed for use in air pollution accountability health studies.
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Affiliation(s)
- Lucas R F Henneman
- Georgia Institute of Technology School of Civil and Environmental Engineering, United States of America; Harvard T.H. Chan School of Public Health, United States of America.
| | - Cong Liu
- Georgia Institute of Technology School of Civil and Environmental Engineering, United States of America; Southeast University School of Energy and Environment, Nanjing, China
| | - Howard Chang
- Emory University Rollins School of Public Health, United States of America
| | - James Mulholland
- Georgia Institute of Technology School of Civil and Environmental Engineering, United States of America
| | - Paige Tolbert
- Emory University Rollins School of Public Health, United States of America
| | - Armistead Russell
- Georgia Institute of Technology School of Civil and Environmental Engineering, United States of America
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18
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Taghvaee S, Sowlat MH, Mousavi A, Hassanvand MS, Yunesian M, Naddafi K, Sioutas C. Source apportionment of ambient PM 2.5 in two locations in central Tehran using the Positive Matrix Factorization (PMF) model. THE SCIENCE OF THE TOTAL ENVIRONMENT 2018; 628-629:672-686. [PMID: 29455128 DOI: 10.1016/j.scitotenv.2018.02.096] [Citation(s) in RCA: 70] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/16/2017] [Revised: 02/06/2018] [Accepted: 02/09/2018] [Indexed: 05/10/2023]
Abstract
In this study, the positive matrix factorization (PMF) model was used for source apportionment of ambient PM2.5 in two locations in the central Tehran from May 2012 through June 2013. The average PM2.5 mass concentrations were 30.9 and 33.2μg/m3 in Tohid retirement home and the school dormitory, respectively. Metals and trace elements, water-soluble ions, and PM2.5 mass concentrations were used as inputs to the model. Concentrations of elemental and organic carbon (EC and OC), and meteorological data were also used as auxiliary variables to help with the factor identification and interpretation. A 7-factor solution was identified as the best solution for both sites. The identified source factors included vehicular emissions, secondary aerosol, industrial emissions, biomass burning, soil, and road dust (including tire and brake wear particles) in both sampling sites. Results indicated that almost half of PM2.5 mass can be attributed to vehicular emissions at both sites. Secondary aerosol was the second major contributor to PM2.5 mass concentrations at both sites, with contributions of around 25% on average for both sites. In addition, while two industrial factors were identified in Tohid retirement home (with an overall contribution of 17%), only one industrial factor (with a minimal contribution of <2%) was identified at Tohid retirement home, probably due to the fact that the retirement home is impacted to a higher degree by industry-related activities. The other factors included biomass burning, road dust, and soil, with overall contributions of around 20% in both sites. Results of this study clearly indicate the major role of traffic-related emissions (both tailpipe and non-tailpipe) on ambient PM2.5 concentrations, and can be used as a beneficial tool for air quality policy makers to mitigate adverse health effects of exposure to PM2.5.
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Affiliation(s)
- Sina Taghvaee
- University of Southern California, Department of Civil and Environmental Engineering, Los Angeles, CA, USA
| | - Mohammad H Sowlat
- University of Southern California, Department of Civil and Environmental Engineering, Los Angeles, CA, USA
| | - Amirhosein Mousavi
- University of Southern California, Department of Civil and Environmental Engineering, Los Angeles, CA, USA
| | - Mohammad Sadegh Hassanvand
- Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran.
| | - Masud Yunesian
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran; Department of Research Methodology and Data Analysis, Institute for Environmental Research, Tehran University of Medical Sciences, Tehran, Iran
| | - Kazem Naddafi
- Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran; Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Constantinos Sioutas
- University of Southern California, Department of Civil and Environmental Engineering, Los Angeles, CA, USA.
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19
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Kumar P, Kumar S, Yadav S. Seasonal variations in size distribution, water-soluble ions, and carbon content of size-segregated aerosols over New Delhi. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2018; 25:6061-6078. [PMID: 29243147 DOI: 10.1007/s11356-017-0954-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/02/2017] [Accepted: 12/05/2017] [Indexed: 06/07/2023]
Abstract
Size distribution, water-soluble inorganic ions (WSII), and organic carbon (OC) and elemental carbon (EC) in size-segregated aerosols were investigated during a year-long sampling in 2010 over New Delhi. Among different size fractions of PM10, PM0.95 was the dominant fraction (45%) followed by PM3-7.2 (20%), PM7.2-10 (15%), PM0.95-1.5 (10%), and PM1.5-3 (10%). All size fractions exceeded the ambient air quality standards of India for PM2.5. Annual average mass size distributions of ions were specific to size and ion(s); Ca2+, Mg2+, K+, NO3-, and Cl- followed bimodal distribution while SO42- and NH4+ ions showed one mode in PM0.95. The concentrations of secondary WSII (NO3-, SO42-, and NH4+) increased in winters due to closed and moist atmosphere whereas open atmospheric conditions in summers lead to dispersal of pollutants. NH4+and Ca2+were dominant neutralization ions but in different size fractions. The summer-time dust transport from upwind region by S SW winds resulted in significantly high concentrations of PM0.95 and PM3-7.2 and PM7.2-10. This indicted influence of dust generation in Thar Desert and its transport is size selective in nature in downwind direction. The mixing of different sources (geogenic, coal combustions, biomass burning, plastic burning, incinerators, and vehicular emissions sources) for soluble ions in different size fractions was noticed in principle component analysis. Total carbon (TC = EC + OC) constituted 8-31% of the total PM0.95 mass, and OC dominated over EC. Among EC, char (EC1) dominated over soot (EC2 + EC3). High SOC contribution (82%) to OC and OC/EC ratio of 2.7 suggested possible role of mineral dust and high photochemical activity in SOC production. Mass concentrations of aerosols and WSII and their contributions to each size fraction of PM10 are governed by nature of sources, emission strength of source(s), and seasonality in meteorological parameters.
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Affiliation(s)
- Pawan Kumar
- School of Environmental sciences, Jawaharlal Nehru University, New Delhi, 110067, India
| | - Sushil Kumar
- School of Environmental sciences, Jawaharlal Nehru University, New Delhi, 110067, India
| | - Sudesh Yadav
- School of Environmental sciences, Jawaharlal Nehru University, New Delhi, 110067, India.
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20
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Henneman LRF, Chang HH, Liao KJ, Lavoué D, A Mulholland J, Russell AG. Accountability assessment of regulatory impacts on ozone and PM2.5 concentrations using statistical and deterministic pollutant sensitivities. AIR QUALITY, ATMOSPHERE & HEALTH 2017; 10:695-711. [PMID: 0 DOI: 10.1007/s11869-017-0463-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2016] [Accepted: 02/07/2017] [Indexed: 05/29/2023]
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21
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Baasandorj M, Hoch SW, Bares R, Lin JC, Brown SS, Millet DB, Martin R, Kelly K, Zarzana KJ, Whiteman CD, Dube WP, Tonnesen G, Jaramillo IC, Sohl J. Coupling between Chemical and Meteorological Processes under Persistent Cold-Air Pool Conditions: Evolution of Wintertime PM 2.5 Pollution Events and N 2O 5 Observations in Utah's Salt Lake Valley. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2017; 51:5941-5950. [PMID: 28468492 DOI: 10.1021/acs.est.6b06603] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
Abstract
The Salt Lake Valley experiences severe fine particulate matter pollution episodes in winter during persistent cold-air pools (PCAPs). We employ measurements throughout an entire winter from different elevations to examine the chemical and dynamical processes driving these episodes. Whereas primary pollutants such as NOx and CO were enhanced twofold during PCAPs, O3 concentrations were approximately threefold lower. Atmospheric composition varies strongly with altitude within a PCAP at night with lower NOx and higher oxidants (O3) and oxidized reactive nitrogen (N2O5) aloft. We present observations of N2O5 during PCAPs that provide evidence for its role in cold-pool nitrate formation. Our observations suggest that nighttime and early morning chemistry in the upper levels of a PCAP plays an important role in aerosol nitrate formation. Subsequent daytime mixing enhances surface PM2.5 by dispersing the aerosol throughout the PCAP. As pollutants accumulate and deplete oxidants, nitrate chemistry becomes less active during the later stages of the pollution episodes. This leads to distinct stages of PM2.5 pollution episodes, starting with a period of PM2.5 buildup and followed by a period with plateauing concentrations. We discuss the implications of these findings for mitigation strategies.
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Affiliation(s)
- Munkhbayar Baasandorj
- Utah Department of Environmental Quality , Salt Lake City, Utah 84116, United States
| | | | | | | | - Steven S Brown
- Chemical Sciences Division, Earth System Research Laboratory, National Oceanic and Atmospheric Administration , Boulder, Colorado 80305, United States
| | - Dylan B Millet
- Department of Soil, Water, and Climate, University of Minnesota , St. Paul, Minnesota 55108, United States
| | - Randal Martin
- Civil and Environmental Engineering Department, Utah State University , Logan, Utah 84322, United States
| | | | - Kyle J Zarzana
- Chemical Sciences Division, Earth System Research Laboratory, National Oceanic and Atmospheric Administration , Boulder, Colorado 80305, United States
| | | | - William P Dube
- Chemical Sciences Division, Earth System Research Laboratory, National Oceanic and Atmospheric Administration , Boulder, Colorado 80305, United States
| | - Gail Tonnesen
- Environmental Protection Agency Region VIII , Denver, Colorado 80202, United States
| | | | - John Sohl
- Department of Physics, Weber State University , Ogden, Utah 84408, United States
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22
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Lubrano AL, Andrews B, Hammond M, Collins GE, Rose-Pehrsson S. Analysis of ammonium nitrate headspace by on-fiber solid phase microextraction derivatization with gas chromatography mass spectrometry. J Chromatogr A 2015; 1429:8-12. [PMID: 26718189 DOI: 10.1016/j.chroma.2015.11.054] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2015] [Revised: 11/16/2015] [Accepted: 11/17/2015] [Indexed: 10/22/2022]
Abstract
A novel analytical method has been developed for the quantitation of trace levels of ammonia in the headspace of ammonium nitrate (AN) using derivatized solid phase microextraction (SPME) fibers with gas chromatography mass spectrometry (GC-MS). Ammonia is difficult to detect via direct injection into a GC-MS because of its low molecular weight and extreme polarity. To circumvent this issue, ammonia was derivatized directly onto a SPME fiber by the reaction of butyl chloroformate coated fibers with the ammonia to form butyl carbamate. A derivatized externally sampled internal standard (dESIS) method based upon the reactivity of diethylamine with unreacted butyl chloroformate on the SPME fiber to form butyl diethylcarbamate was established for the reproducible quantification of ammonia concentration. Both of these compounds are easily detectable and separable via GC-MS. The optimized method was then used to quantitate the vapor concentration of ammonia in the headspace of two commonly used improvised explosive device (IED) materials, ammonium nitrate fuel oil (ANFO) and ammonium nitrate aluminum powder (Ammonal), as well as identify the presence of additional fuel components within the headspace.
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Affiliation(s)
| | | | - Mark Hammond
- Chemistry Division, U.S. Naval Research Laboratory, Washington D.C. 20375, USA
| | - Greg E Collins
- Chemistry Division, U.S. Naval Research Laboratory, Washington D.C. 20375, USA
| | - Susan Rose-Pehrsson
- Chemistry Division, U.S. Naval Research Laboratory, Washington D.C. 20375, USA.
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23
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Chow JC, Lowenthal DH, Chen LWA, Wang X, Watson JG. Mass reconstruction methods for PM 2.5: a review. AIR QUALITY, ATMOSPHERE, & HEALTH 2015; 8:243-263. [PMID: 26052367 PMCID: PMC4449935 DOI: 10.1007/s11869-015-0338-3] [Citation(s) in RCA: 111] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2015] [Accepted: 03/17/2015] [Indexed: 05/19/2023]
Abstract
Major components of suspended particulate matter (PM) are inorganic ions, organic matter (OM), elemental carbon (EC), geological minerals, salt, non-mineral elements, and water. Since oxygen (O) and hydrogen (H) are not directly measured in chemical speciation networks, more than ten weighting equations have been applied to account for their presence, thereby approximating gravimetric mass. Assumptions for these weights are not the same under all circumstances. OM is estimated from an organic carbon (OC) multiplier (f) that ranges from 1.4 to 1.8 in most studies, but f can be larger for highly polar compounds from biomass burning and secondary organic aerosols. The mineral content of fugitive dust is estimated from elemental markers, while the water-soluble content is accounted for as inorganic ions or salt. Part of the discrepancy between measured and reconstructed PM mass is due to the measurement process, including: (1) organic vapors adsorbed on quartz-fiber filters; (2) evaporation of volatile ammonium nitrate and OM between the weighed Teflon-membrane filter and the nylon-membrane and/or quartz-fiber filters on which ions and carbon are measured; and (3) liquid water retained on soluble constituents during filter weighing. The widely used IMPROVE equations were developed to characterize particle light extinction in U.S. national parks, and variants of this approach have been tested in a large variety of environments. Important factors for improving agreement between measured and reconstructed PM mass are the f multiplier for converting OC to OM and accounting for OC sampling artifacts.
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Affiliation(s)
- Judith C. Chow
- Division of Atmospheric Sciences, Desert Research Institute, Reno, NV 89512 USA
- The State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi’an, Shaanxi 710075 China
- Graduate Faculty, University of Nevada, Reno, NV 89503 USA
| | - Douglas H. Lowenthal
- Division of Atmospheric Sciences, Desert Research Institute, Reno, NV 89512 USA
- Graduate Faculty, University of Nevada, Reno, NV 89503 USA
| | - L.-W. Antony Chen
- Division of Atmospheric Sciences, Desert Research Institute, Reno, NV 89512 USA
- Department of Environmental and Occupational Health, University of Nevada, Las Vegas, NV 89154 USA
| | - Xiaoliang Wang
- Division of Atmospheric Sciences, Desert Research Institute, Reno, NV 89512 USA
- Graduate Faculty, University of Nevada, Reno, NV 89503 USA
| | - John G. Watson
- Division of Atmospheric Sciences, Desert Research Institute, Reno, NV 89512 USA
- The State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi’an, Shaanxi 710075 China
- Graduate Faculty, University of Nevada, Reno, NV 89503 USA
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Hodas N, Sullivan AP, Skog K, Keutsch FN, Collett JL, Decesari S, Facchini MC, Carlton AG, Laaksonen A, Turpin BJ. Aerosol liquid water driven by anthropogenic nitrate: implications for lifetimes of water-soluble organic gases and potential for secondary organic aerosol formation. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2014; 48:11127-36. [PMID: 25191968 DOI: 10.1021/es5025096] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
Aerosol liquid water (ALW) influences aerosol radiative properties and the partitioning of gas-phase water-soluble organic compounds (WSOCg) to the condensed phase. A recent modeling study drew attention to the anthropogenic nature of ALW in the southeastern United States, where predicted ALW is driven by regional sulfate. Herein, we demonstrate that ALW in the Po Valley, Italy, is also anthropogenic but is driven by locally formed nitrate, illustrating regional differences in the aerosol components responsible for ALW. We present field evidence for the influence of controllable ALW on the lifetimes and atmospheric budgets of reactive organic gases and note the role of ALW in the formation of secondary organic aerosol (SOA). Nitrate is expected to increase in importance due to increased emissions of nitrate precursors, as well as policies aimed at reducing sulfur emissions. We argue that the impacts of increased particulate nitrate in future climate and air quality scenarios may be under predicted because they do not account for the increased potential for SOA formation in nitrate-derived ALW, nor do they account for the impacts of this ALW on reactive gas budgets and gas-phase photochemistry.
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Affiliation(s)
- Natasha Hodas
- Department of Environmental Sciences, Rutgers University , New Brunswick, New Jersey 08901, United States
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Hasheminassab S, Daher N, Ostro BD, Sioutas C. Long-term source apportionment of ambient fine particulate matter (PM2.5) in the Los Angeles Basin: a focus on emissions reduction from vehicular sources. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2014; 193:54-64. [PMID: 25005887 DOI: 10.1016/j.envpol.2014.06.012] [Citation(s) in RCA: 61] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/01/2014] [Revised: 06/07/2014] [Accepted: 06/18/2014] [Indexed: 05/26/2023]
Abstract
Positive Matrix Factorization (PMF) was utilized to quantify sources of ambient PM2.5 in central Los Angeles (LA) and Rubidoux, using the Speciation Trends Network data, collected between 2002 and 2013. Vehicular emissions (including gasoline and diesel vehicles) were the second major contributor to PM2.5, following secondary aerosols, with about 20% contribution to total mass in both sites. Starting in 2007, several major federal, state, and local regulations on vehicular emissions were implemented. To assess the effect of these regulations, daily-resolved vehicular source contributions from 2002 to 2006 were pooled together and compared to the combination of 2008 to 2012 datasets. Compared to the 2002-2006 dataset, the median values of vehicular emissions in 2008-2012 statistically significantly decreased by 24 and 21% in LA and Rubidoux, respectively. These reductions were noted despite an overall increase or similarity in the median values of the daily flow of vehicles after 2007, at the sites.
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Affiliation(s)
- Sina Hasheminassab
- University of Southern California, Department of Civil and Environmental Engineering, Los Angeles, CA, USA
| | - Nancy Daher
- University of Southern California, Department of Civil and Environmental Engineering, Los Angeles, CA, USA
| | - Bart D Ostro
- Air Pollution Epidemiology Section, Office of Environmental Health Hazard Assessment, State of California, Oakland, CA, USA
| | - Constantinos Sioutas
- University of Southern California, Department of Civil and Environmental Engineering, Los Angeles, CA, USA.
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Kuprov R, Eatough DJ, Cruickshank T, Olson N, Cropper PM, Hansen JC. Composition and secondary formation of fine particulate matter in the Salt Lake Valley: winter 2009. JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION (1995) 2014; 64:957-69. [PMID: 25185397 DOI: 10.1080/10962247.2014.903878] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
Abstract
Under the National Ambient Air Quality Standards (NAAQS), put in place as a result of the Clean Air Amendments of 1990, three regions in the state of Utah are in violation of the NAAQS for PM10 and PM2.5 (Salt Lake County, Ogden City, and Utah County). These regions are susceptible to strong inversions that can persist for days to weeks. This meteorology, coupled with the metropolitan nature of these regions, contributes to its violation of the NAAQS for PM during the winter. During January-February 2009, 1-hr averaged concentrations of PM10-2.5, PM2.5, NO(x), NO2, NO, O3, CO, and NH3 were measured. Particulate-phase nitrate, nitrite, and sulfate and gas-phase HONO, HNO3, and SO2 were also measured on a 1-hr average basis. The results indicate that ammonium nitrate averages 40% of the total PM2.5 mass in the absence of inversions and up to 69% during strong inversions. Also, the formation of ammonium nitrate is nitric acid limited. Overall, the lower boundary layer in the Salt Lake Valley appears to be oxidant and volatile organic carbon (VOC) limited with respect to ozone formation. The most effective way to reduce ammonium nitrate secondary particle formation during the inversions period is to reduce NO(x) emissions. However, a decrease in NO(x) will increase ozone concentrations. A better definition of the complete ozone isopleths would better inform this decision. Implications: Monitoring of air pollution constituents in Salt Lake City, UT, during periods in which PM2.5 concentrations exceeded the NAAQS, reveals that secondary aerosol formation for this region is NO(x) limited. Therefore, NO(x) emissions should be targeted in order to reduce secondary particle formation and PM2.5. Data also indicate that the highest concentrations of sulfur dioxide are associated with winds from the north-northwest, the location of several small refineries.
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Sargazi G, Afzali D, Ghafainazari A, Saravani H. Rapid Synthesis of Cobalt Metal Organic Framework. J Inorg Organomet Polym Mater 2014. [DOI: 10.1007/s10904-014-0042-z] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Fujisato K, Habu H, Hori K. Condensed Phase Behavior in the Combustion of Ammonium Dinitramide. PROPELLANTS EXPLOSIVES PYROTECHNICS 2014. [DOI: 10.1002/prep.201300134] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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Behera SN, Sharma M, Aneja VP, Balasubramanian R. Ammonia in the atmosphere: a review on emission sources, atmospheric chemistry and deposition on terrestrial bodies. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2013; 20:8092-131. [PMID: 23982822 DOI: 10.1007/s11356-013-2051-9] [Citation(s) in RCA: 277] [Impact Index Per Article: 25.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/14/2013] [Accepted: 07/31/2013] [Indexed: 04/15/2023]
Abstract
Gaseous ammonia (NH3) is the most abundant alkaline gas in the atmosphere. In addition, it is a major component of total reactive nitrogen. The largest source of NH3 emissions is agriculture, including animal husbandry and NH3-based fertilizer applications. Other sources of NH3 include industrial processes, vehicular emissions and volatilization from soils and oceans. Recent studies have indicated that NH3 emissions have been increasing over the last few decades on a global scale. This is a concern because NH3 plays a significant role in the formation of atmospheric particulate matter, visibility degradation and atmospheric deposition of nitrogen to sensitive ecosystems. Thus, the increase in NH3 emissions negatively influences environmental and public health as well as climate change. For these reasons, it is important to have a clear understanding of the sources, deposition and atmospheric behaviour of NH3. Over the last two decades, a number of research papers have addressed pertinent issues related to NH3 emissions into the atmosphere at global, regional and local scales. This review article integrates the knowledge available on atmospheric NH3 from the literature in a systematic manner, describes the environmental implications of unabated NH3 emissions and provides a scientific basis for developing effective control strategies for NH3.
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Affiliation(s)
- Sailesh N Behera
- Department of Civil and Environmental Engineering, National University of Singapore, Singapore, 117411, Singapore,
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Sillapapiromsuk S, Chantara S, Tengjaroenkul U, Prasitwattanaseree S, Prapamontol T. Determination of PM10 and its ion composition emitted from biomass burning in the chamber for estimation of open burning emissions. CHEMOSPHERE 2013; 93:1912-9. [PMID: 23891258 DOI: 10.1016/j.chemosphere.2013.06.071] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/23/2012] [Revised: 04/17/2013] [Accepted: 06/27/2013] [Indexed: 05/08/2023]
Abstract
Biomass samples including agricultural waste (rice straw and maize residue) and forest leaf litter were collected from Chiang Mai Province, Thailand for the burning experiment in the self-designed stainless steel chamber to simulate the emissions of PM10. The burning of leaf litter emitted the highest PM10 (1.52±0.65 g kg(-1)). The PM10-bound ions emitted from the burning of rice straw and maize residue showed the same trend, which was K(+)>Cl(-)>SO4(2-)>NH4(+)>NO3(-). However, the emissions from maize residue burning were ~1.5-2.0 times higher than those from the rice straw burning. The ion content emitted from leaf litter burning was almost the same for all ion species. Noticeably, K(+) and Cl(-) concentrations were ~2-4 times lower than those emitted from agricultural waste burning. It can be deduced that K(+) and Cl(-) were highly emitted from agricultural waste burning due to the use of fertilizer and herbicides in the field, respectively. Based on emission values obtained from the chamber, the pollutant emission rate from open burning was calculated. Burned areas in Chiang Mai Province were 3510 and 866 km(2) in 2010 and 2011, respectively. Forest burning was 71-88%, while agricultural land burning accounted for 12-29% (rice field: crop field=1:3) of total burned area. Therefore, emissions of PM10 from open burning in Chiang Mai were 3051 ton (2010) and 705 ton (2011). Major ions emitted from agricultural waste burning were found to be K(+) and Cl(-), while those from forest burning were SO4(2-) and K(+).
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Affiliation(s)
- Sopittaporn Sillapapiromsuk
- Environmental Science Program and Center for Excellence on Environmental Health and Toxicology (EHT), Faculty of Science, Chiang Mai University, Chiang Mai 50200, Thailand
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Daher N, Hasheminassaba S, Shafer MM, Schauer JJ, Sioutas C. Seasonal and spatial variability in chemical composition and mass closure of ambient ultrafine particles in the megacity of Los Angeles. ENVIRONMENTAL SCIENCE. PROCESSES & IMPACTS 2013; 15:283-95. [PMID: 24592446 DOI: 10.1039/c2em30615h] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/26/2023]
Abstract
Emerging toxicological research has shown that ultrafine particles (UFP, dp < 0.1–0.2 μm) may be more potent than coarse or fine particulate matter. To better characterize quasi-UFP (PM0.25, dp < 0.25 μm), we conducted a year-long sampling campaign at 10 distinct areas in the megacity of Los Angeles, including source, near-freeway, semi-rural receptor and desert-like locations. Average PM0.25 mass concentration ranged from 5.9 to 16.1 μg m−3 across the basin and over different seasons. Wintertime levels were highest at the source site, while lowest at the desert-like site. Conversely, summertime concentrations peaked at the inland receptor locations. Chemical mass reconstruction revealed that quasi-UFP in the basin consisted of 49–64% organic matter, 3–6.4% elemental carbon, 9–15% secondary ions (SI), 0.7–1.3% trace ions, and 5.7–17% crustal material and trace elements, on a yearly average basis. Organic carbon (OC), a major constituent of PM0.25, exhibited greatest concentrations in fall and winter at all sites, with the exception of the inland areas. Atmospheric stability conditions and particle formation favored by condensation of low-volatility organics contributed to these levels. Inland, OC concentrations peaked in summer due to increased PM0.25 advection from upwind sources coupled with secondary organic aerosol formation. Among SI, nitrate peaked at semi-rural Riverside sites, located downwind of strong ammonia sources. Moreover, ionic balance indicated an overall neutral quasi-UFP aerosol, with somewhat lower degree of neutralization at near-freeway sites in winter. Anthropogenic metals peaked at the urban sites in winter while generally increased at the receptor areas in summer. Lastly, coefficients of divergence analysis showed that while PM0.25 mass is relatively spatially homogeneous in the basin, some of its components, mainly EC, nitrate and several toxic metals, are unevenly distributed. These results suggest that population exposure to quasi-UFP can substantially vary by season and over short spatial scales in the megacity of Los Angeles.
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Behera SN, Sharma M. Transformation of atmospheric ammonia and acid gases into components of PM₂.₅: an environmental chamber study. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2012; 19:1187-97. [PMID: 22012198 DOI: 10.1007/s11356-011-0635-9] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/20/2011] [Accepted: 09/29/2011] [Indexed: 05/12/2023]
Abstract
INTRODUCTION The kinetics of the transformation of ammonia and acid gases into components of PM(2.5) has been examined. The interactions of existing aerosols and meteorology with the transformation mechanism have also been investigated. The specific objective was to discern the kinetics for the gas-to-particle conversion processes where the reactions of NH(3) with H(2)SO(4), HNO(3), and HCl take place to form (NH(4))(2)SO(4), NH(4)NO(3), and NH(4)Cl, respectively, in PM(2.5). MATERIALS AND METHODS A Teflon-based outdoor environmental chamber facility (volume of 12.5 m(3)) with state-of-the-art instrumentation to monitor the concentration-time profiles of precursor gases, ozone, and aerosol and meteorological parameters was built to simulate photochemical reactions. RESULTS AND DISCUSSION The reaction rate constants of NH(3) with H(2)SO(4), HNO(3), and HCl (i.e., k (S), k (N), and k (Cl)) were estimated as (1) k (S) = 2.68 × 10(-4) (±1.38 × 10(-4)) m(3)/μmol/s, (2) k (N) = 1.59 × 10(-4) (±8.97 × 10(-5)) m(3)/μmol/s, and (3) k (Cl) = 5.16 × 10(-5) (±3.50 × 10(-5)) m(3)/μmol/s. The rate constants k (S) and k (N) showed significant day-night variations, whereas k (Cl) did not show any significant variation. The D/N (i.e., daytime/nighttime values) ratio was 1.3 for k (S) and 0.33 for k (N). The significant role of temperature, solar radiation, and O(3) concentration in the formation of (NH(4))(2)SO(4) was recognized from the correlation analysis of k (S) with these factors. The negative correlations of temperature with k (N) and k (Cl) indicate that the reactions for the formation of NH(4)NO(3) and NH(4)Cl seem to be reversible under higher temperature due to their semivolatile nature. It was observed that the rate constants (k (S), k (N), and k (Cl)) showed a positive correlation with the initial PM(2.5) levels in the chamber, suggesting that the existing surface of the aerosol could play a significant role in the formation of (NH(4))(2)SO(4), NH(4)NO(3), and NH(4)Cl. CONCLUSIONS Therefore, this study recommends an intelligent control of primary aerosols and precursor gases (NO( x ), SO(2), and NH(3)) for achieving reduction in PM(2.5) levels.
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Affiliation(s)
- Sailesh N Behera
- Centre for Environmental Science and Engineering, Department of Civil Engineering, Indian Institute of Technology Kanpur, Kanpur 208016, India.
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Markovic MZ, VandenBoer TC, Murphy JG. Characterization and optimization of an online system for the simultaneous measurement of atmospheric water-soluble constituents in the gas and particle phases. ACTA ACUST UNITED AC 2012; 14:1872-84. [DOI: 10.1039/c2em00004k] [Citation(s) in RCA: 63] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Malm WC, Schichtel BA, Pitchford ML. Uncertainties in PM2.5 gravimetric and speciation measurements and what we can learn from them. JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION (1995) 2011; 61:1131-49. [PMID: 22168097 DOI: 10.1080/10473289.2011.603998] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
The U.S. Environmental Protection Agency (EPA) and the federal land management community (National Park Service, United States Fish and Wildlife Service, United States Forest Service, and Bureau of Land Management) operate extensive particle speciation monitoring networks that are similar in design but are operated for different objectives. Compliance (mass only) monitoring is also carried out using federal reference method (FRM) criteria at approximately 1000 sites. The Chemical Speciation Network (CSN) consists of approximately 50 long-term-trend sites, with about another 250 sites that have been or are currently operated by state and local agencies. The sites are located in urban or suburban settings. The Interagency Monitoring of Protected Visual Environments (IMPROVE) monitoring network consists of about 181 sites, approximately 170 of which are in nonurban areas. Each monitoring approach has its own inherent monitoring limitations and biases. Determination of gravimetric mass has both negative and positive artifacts. Ammonium nitrate and other semivolatiles are lost during sampling, whereas, on the other hand, measured mass includes particle-bound water. Furthermore, some species may react with atmospheric gases, further increasing the positive mass artifact. Estimating aerosol species concentrations requires assumptions concerning the chemical form of various molecular compounds, such as nitrates and sulfates, and organic material and soil composition. Comparing data collected in the various monitoring networks allows for assessing uncertainties and biases associated with both negative and positive artifacts of gravimetric mass determinations, assumptions of chemical composition, and biases between different sampler technologies. All these biases are shown to have systematic seasonal characteristics. Unaccounted-for particle-bound water tends to be higher in the summer, as does nitrate volatilization. The ratio of particle organic mass divided by organic carbon mass (Roc) is higher during summer and lower during the winter seasons in both CSN and IMPROVE networks, and Roc is lower in urban than non-urban environments.
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Affiliation(s)
- William C Malm
- Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, Colorado 80523-1375, USA.
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Bellouin N, Rae J, Jones A, Johnson C, Haywood J, Boucher O. Aerosol forcing in the Climate Model Intercomparison Project (CMIP5) simulations by HadGEM2-ES and the role of ammonium nitrate. ACTA ACUST UNITED AC 2011. [DOI: 10.1029/2011jd016074] [Citation(s) in RCA: 317] [Impact Index Per Article: 24.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Nowak JB, Neuman JA, Bahreini R, Brock CA, Middlebrook AM, Wollny AG, Holloway JS, Peischl J, Ryerson TB, Fehsenfeld FC. Airborne observations of ammonia and ammonium nitrate formation over Houston, Texas. ACTA ACUST UNITED AC 2010. [DOI: 10.1029/2010jd014195] [Citation(s) in RCA: 82] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Chatterjee A, Adak A, Singh AK, Srivastava MK, Ghosh SK, Tiwari S, Devara PCS, Raha S. Aerosol chemistry over a high altitude station at northeastern Himalayas, India. PLoS One 2010; 5:e11122. [PMID: 20585397 PMCID: PMC2886841 DOI: 10.1371/journal.pone.0011122] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2010] [Accepted: 05/05/2010] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND There is an urgent need for an improved understanding of the sources, distributions and properties of atmospheric aerosol in order to control the atmospheric pollution over northeastern Himalayas where rising anthropogenic interferences from rapid urbanization and development is becoming an increasing concern. METHODOLOGY/PRINCIPAL FINDINGS An extensive aerosol sampling program was conducted in Darjeeling (altitude approximately 2200 meter above sea level (masl), latitude 27 degrees 01'N and longitude 88 degrees 15'E), a high altitude station in northeastern Himalayas, during January-December 2005. Samples were collected using a respirable dust sampler and a fine dust sampler simultaneously. Ion chromatograph was used to analyze the water soluble ionic species of aerosol. The average concentrations of fine and coarse mode aerosol were found to be 29.5+/-20.8 microg m(-3) and 19.6+/-11.1 microg m(-3) respectively. Fine mode aerosol dominated during dry seasons and coarse mode aerosol dominated during monsoon. Nitrate existed as NH(4)NO(3) in fine mode aerosol during winter and as NaNO(3) in coarse mode aerosol during monsoon. Gas phase photochemical oxidation of SO(2) during premonsoon and aqueous phase oxidation during winter and postmonsoon were the major pathways for the formation of SO(4)(2-) in the atmosphere. Long range transport of dust aerosol from arid regions of western India was observed during premonsoon. The acidity of fine mode aerosol was higher in dry seasons compared to monsoon whereas the coarse mode acidity was higher in monsoon compared to dry seasons. Biomass burning, vehicular emissions and dust particles were the major types of aerosol from local and continental regions whereas sea salt particles were the major types of aerosol from marine source regions. CONCLUSIONS/SIGNIFICANCE The year-long data presented in this paper provide substantial improvements to the heretofore poor knowledge regarding aerosol chemistry over northeastern Himalayas, and should be useful to policy makers in making control strategies.
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Affiliation(s)
| | - Anandamay Adak
- Environmental Sciences Section, Bose Institute, Kolkata, India
| | - Ajay K. Singh
- Center for Astroparticle Physics and Space Science, Bose Institute, Kolkata and Darjeeling, India
| | | | - Sanjay K. Ghosh
- Center for Astroparticle Physics and Space Science, Bose Institute, Kolkata and Darjeeling, India
- Department of Physics, Bose Institute, Kolkata, India
| | - Suresh Tiwari
- Indian Institute of Tropical Meteorology, New Delhi, India
| | | | - Sibaji Raha
- Environmental Sciences Section, Bose Institute, Kolkata, India
- Center for Astroparticle Physics and Space Science, Bose Institute, Kolkata and Darjeeling, India
- Department of Physics, Bose Institute, Kolkata, India
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Wu Z, Hu M, Shao K, Slanina J. Acidic gases, NH(3) and secondary inorganic ions in PM(10) during summertime in Beijing, China and their relation to air mass history. CHEMOSPHERE 2009; 76:1028-1035. [PMID: 19482332 DOI: 10.1016/j.chemosphere.2009.04.066] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2009] [Revised: 04/27/2009] [Accepted: 04/29/2009] [Indexed: 05/27/2023]
Abstract
In the summers of 2002-2003, acidic gases, ammonia and water-soluble ions in PM(10) were measured in Beijing. The mean concentrations of HCl, HONO, HNO(3), SO(2) and NH(3) are 0.6, 3.6, 1.9, 14.1 and 16.6microgm(-3), respectively, and 2.2, 14.6, 19.3 and 8.9microgm(-3) for Cl(-),NO(3)(-),SO(4)(2-)andNH(4)(+) in PM(10). The concentrations of secondary ions in PM(10) are found to have strong dependence on the pathway of trajectories. The most frequent southerly air flow is connected with high concentrations of secondary water-soluble ions during summertime. Other trajectories with northwest and north direction lead to lower concentrations of secondary ions. Hebei and Shandong Provinces and the Tianjin Municipality are the main source areas for sulfate as identified by Potential Source Contribution Function. This result emphasizes that the non-Beijing sources play an important role in the sulfate mass concentration in the urban atmosphere of Beijing and validates conclusions based on model calculations for the region.
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Yue D, Hu M, Wu Z, Wang Z, Guo S, Wehner B, Nowak A, Achtert P, Wiedensohler A, Jung J, Kim YJ, Liu S. Characteristics of aerosol size distributions and new particle formation in the summer in Beijing. ACTA ACUST UNITED AC 2009. [DOI: 10.1029/2008jd010894] [Citation(s) in RCA: 102] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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Zardini AA, Krieger UK. Evaporation kinetics of a non-spherical, levitated aerosol particle using optical resonance spectroscopy for precision sizing. OPTICS EXPRESS 2009; 17:4659-4669. [PMID: 19293895 DOI: 10.1364/oe.17.004659] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Abstract
We describe how a time series of optical resonance spectra of an evaporating, non-spherical, irregular aerosol particle levitated in an electrodynamic balance exhibits patterns which are related to its evaporation kinetics. Simulated spectra of an evaporating, model aerosol particle show comparable features. If these patterns are used to deduce the particle size change with time, the resulting vapor pressures and enthalpies of vaporization compare favorably with literature data for both crystalline ammonium nitrate and succinic acid particles.
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Hinneburg D, Renner E, Wolke R. Formation of secondary inorganic aerosols by power plant emissions exhausted through cooling towers in Saxony. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2009; 16:25-35. [PMID: 19067012 DOI: 10.1007/s11356-008-0081-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/13/2008] [Accepted: 10/16/2008] [Indexed: 05/27/2023]
Abstract
BACKGROUND, AIM, AND SCOPE The fraction of ambient PM10 that is due to the formation of secondary inorganic particulate sulfate and nitrate from the emissions of two large, brown-coal-fired power stations in Saxony (East Germany) is examined. The power stations are equipped with natural-draft cooling towers. The flue gases are directly piped into the cooling towers, thereby receiving an additionally intensified uplift. The exhausted gas-steam mixture contains the gases CO, CO2, NO, NO2, and SO2, the directly emitted primary particles, and additionally, an excess of 'free' sulfate ions in water solution, which, after the desulfurization steps, remain non-neutralized by cations. The precursor gases NO2 and SO2 are capable of forming nitric and sulfuric acid by several pathways. The acids can be neutralized by ammonia and generate secondary particulate matter by heterogeneous condensation on preexisting particles. MATERIALS AND METHODS The simulations are performed by a nested and multi-scale application of the online-coupled model system LM-MUSCAT. The Local Model (LM; recently renamed as COSMO) of the German Weather Service performs the meteorological processes, while the Multi-scale Atmospheric Transport Model (MUSCAT) includes the transport, the gas phase chemistry, as well as the aerosol chemistry (thermodynamic ammonium-sulfate-nitrate-water system). The highest horizontal resolution in the inner region of Saxony is 0.7 km. One summer and one winter episode, each realizing 5 weeks of the year 2002, are simulated twice, with the cooling tower emissions switched on and off, respectively. This procedure serves to identify the direct and indirect influences of the single plumes on the formation and distribution of the secondary inorganic aerosols. RESULTS AND CONCLUSIONS Surface traces of the individual tower plumes can be located and distinguished, especially in the well-mixed boundary layer in daytime. At night, the plumes are decoupled from the surface. In no case does the resulting contribution of the cooling tower emissions to PM10 significantly exceed 15 microg m(-3) at the surface. These extreme values are obtained in narrow plumes on intensive summer conditions, whereas different situations with lower turbulence (night, winter) remain below this value. About 90% of the PM10 concentrations in the plumes are secondarily formed sulfate, mainly ammonium sulfate, and about 10% originate from the primarily emitted particles. Under the assumptions made, ammonium nitrate plays a rather marginal role. RECOMMENDATIONS AND PERSPECTIVES The analyzed results depend on the specific emission data of power plants with flue gas emissions piped through the cooling towers. The emitted fraction of 'free' sulfate ions remaining in excess after the desulfurization steps plays an important role at the formation of secondary aerosols and therefore has to be measured carefully.
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Affiliation(s)
- Detlef Hinneburg
- Leibniz Institute for Tropospheric Research, Permoserstr. 15, 04318, Leipzig, Germany
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Hill KA, Shepson PB, Galbavy ES, Anastasio C, Kourtev PS, Konopka A, Stirm BH. Processing of atmospheric nitrogen by clouds above a forest environment. ACTA ACUST UNITED AC 2007. [DOI: 10.1029/2006jd008002] [Citation(s) in RCA: 65] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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Morino Y, Kondo Y, Takegawa N, Miyazaki Y, Kita K, Komazaki Y, Fukuda M, Miyakawa T, Moteki N, Worsnop DR. Partitioning of HNO3and particulate nitrate over Tokyo: Effect of vertical mixing. ACTA ACUST UNITED AC 2006. [DOI: 10.1029/2005jd006887] [Citation(s) in RCA: 64] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Walker JT, Robarge WP, Shendrikar A, Kimball H. Inorganic PM2.5 at a U.S. agricultural site. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2006; 139:258-71. [PMID: 16081193 DOI: 10.1016/j.envpol.2005.05.019] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/10/2002] [Accepted: 05/13/2005] [Indexed: 05/03/2023]
Abstract
In this study, we present approximately two years (January 1999-December 2000) of atmospheric NH3, NH4+, HCl, Cl-, HNO3, NO3-, SO2, and SO4= concentrations measured by the annular denuder/filter pack method at an agricultural site in eastern North Carolina. This site is influenced by high NH3 emissions from animal production and fertilizer use in the surrounding area and neighboring counties. The two-year mean NH3 concentration is 5.6 (+/-5.13) microg m(-3). The mean concentration of total inorganic PM2.5, which includes SO4=, NO3-, NH4+, and Cl-, is 8.0 (+/-5.84) microg m(-3). SO4=, NO3-, NH4+, and Cl- represent, respectively, 53, 24, 22, and 1% of measured inorganic PM2.5. NH3 contributes 72% of total NH3 + NH4+, on an average. Equilibrium modeling of the gas+aerosol NH3/H2SO4/HNO3 system shows that inorganic PM2.5 is more sensitive to reductions in gas + aerosol concentrations of sulfate and nitrate relative to NH3.
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Affiliation(s)
- John T Walker
- U.S. Environmental Protection Agency, National Risk Management Research Laboratory, Air Pollution Prevention and Control Division, Mail Drop E305-02, 109 T.W. Alexander Drive, Research Triangle Park, NC 27711, USA.
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Zhang M. Numerical simulation with a comprehensive chemical transport model of nitrate, sulfate, and ammonium aerosol distributions over east asia. ACTA ACUST UNITED AC 2005. [DOI: 10.1016/s1672-2515(07)60197-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Sardar SB, Fine PM, Mayo PR, Sioutas C. Size-fractionated measurements of ambient ultrafine particle chemical composition in Los Angeles using the NanoMOUDI. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2005; 39:932-944. [PMID: 15773464 DOI: 10.1021/es049478j] [Citation(s) in RCA: 30] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
Ambient ultrafine particles have gained attention with recent evidence showing them to be more toxic than larger ambient particles. Few studies have investigated the distribution of chemical constituents within the ultrafine range. The current study explores the size-fractionated ultrafine (10-180 nm) chemical composition at urban source sites (USC and Long Beach) and inland receptor sites (Riverside and Upland) in the Los Angeles basin over three different seasons. Size-fractionated ultrafine particles were collected by a NanoMOUDI over a period of 2 weeks at each site. Measurements of ultrafine mass concentrations varied from 0.86 to 3.5 microg/m3 with the highest concentrations observed in the fall. The chemical composition of ultrafine particles ranged from 32 to 69% for organic carbon (OC), 1-34% for elemental carbon (EC), 0-24% for sulfate, and 0-4% for nitrate. A distinct OC mode was observed between 18 and 56 nm in the summer, possibly indicating photochemical secondary organic aerosol formation. The EC levels are higher in winter at the source sites due to lower inversion heights and are higher in summer at the receptor sites due to increased long-range transport from upwind source areas. Nitrate and sulfate were measurable only in the larger particle size ranges of ultrafine PM. Collocated continuous measurements of particle size distributions and gaseous pollutants helped to differentiate ultrafine particle sources at each site.
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Affiliation(s)
- Satya B Sardar
- Department of Civil and Environmental Engineering, University of Southern California, Los Angeles, California 90089, USA
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Binkowski FS, Roselle SJ. Models‐3 Community Multiscale Air Quality (CMAQ) model aerosol component 1. Model description. ACTA ACUST UNITED AC 2003. [DOI: 10.1029/2001jd001409] [Citation(s) in RCA: 581] [Impact Index Per Article: 27.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Francis S. Binkowski
- Atmospheric Sciences Modeling Division, Air Resources Laboratory National Oceanic and Atmospheric Administration Research Triangle Park North Carolina USA
- On assignment to National Exposure Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina, USA
| | - Shawn J. Roselle
- Atmospheric Sciences Modeling Division, Air Resources Laboratory National Oceanic and Atmospheric Administration Research Triangle Park North Carolina USA
- On assignment to National Exposure Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina, USA
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Lee SH. Nitrate and oxidized organic ions in single particle mass spectra during the 1999 Atlanta Supersite Project. ACTA ACUST UNITED AC 2003. [DOI: 10.1029/2001jd001455] [Citation(s) in RCA: 57] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Aw J. Evaluating the first-order effect of intraannual temperature variability on urban air pollution. ACTA ACUST UNITED AC 2003. [DOI: 10.1029/2002jd002688] [Citation(s) in RCA: 134] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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