Articles | Volume 11, issue 5
https://doi.org/10.5194/amt-11-3047-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-11-3047-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
29 May 2018
Research article |
| 29 May 2018
| 29 May 2018
Mapping and quantifying isomer sets of hydrocarbons ( ≥ C12) in diesel exhaust, lubricating oil and diesel fuel samples using GC × GC-ToF-MS
Mohammed S. Alam
Division of Environmental Health and Risk Management, School of Geography, Earth and Environmental Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
Soheil Zeraati-Rezaei
Department of Mechanical Engineering, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
Zhirong Liang
School of Energy and Power Engineering, Beihang University, Beijing, 100191 China
Christopher Stark
Division of Environmental Health and Risk Management, School of Geography, Earth and Environmental Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
Hongming Xu
Department of Mechanical Engineering, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
A. Rob MacKenzie
Division of Environmental Health and Risk Management, School of Geography, Earth and Environmental Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
also at: Birmingham Institute of Forest Research, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
Division of Environmental Health and Risk Management, School of Geography, Earth and Environmental Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
also at: Department of Environmental Sciences/Center of Excellence in Environmental Studies, King Abdulaziz University, P.O. Box 80203, Jeddah, 21589, Saudi Arabia
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Ozone production at an urban site in Delhi is sensitive to volatile organic compound (VOC) concentrations, particularly those of the aromatic, monoterpene, and alkene VOC classes. The change in ozone production by varying atmospheric pollutants according to their sources, as defined in an emissions inventory, is investigated. The study suggests that reducing road transport emissions alone does not reduce reactive VOCs in the atmosphere enough to perturb an increase in ozone production.
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Mohammed S. Alam, Leigh R. Crilley, James D. Lee, Louisa J. Kramer, Christian Pfrang, Mónica Vázquez-Moreno, Milagros Ródenas, Amalia Muñoz, and William J. Bloss
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Roberto Sommariva, Louisa J. Kramer, Leigh R. Crilley, Mohammed S. Alam, and William J. Bloss
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Ozone is a key atmospheric pollutant formed through chemical processing of natural and anthropogenic emissions and removed by reaction with organic compounds emitted by plants. We describe a new instrument – the
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Leigh R. Crilley, Ajit Singh, Louisa J. Kramer, Marvin D. Shaw, Mohammed S. Alam, Joshua S. Apte, William J. Bloss, Lea Hildebrandt Ruiz, Pingqing Fu, Weiqi Fu, Shahzad Gani, Michael Gatari, Evgenia Ilyinskaya, Alastair C. Lewis, David Ng'ang'a, Yele Sun, Rachel C. W. Whitty, Siyao Yue, Stuart Young, and Francis D. Pope
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Atmos. Chem. Phys., 19, 10865–10881, https://doi.org/10.5194/acp-19-10865-2019, https://doi.org/10.5194/acp-19-10865-2019, 2019
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Kelly L. Pereira, Rachel Dunmore, James Whitehead, M. Rami Alfarra, James D. Allan, Mohammed S. Alam, Roy M. Harrison, Gordon McFiggans, and Jacqueline F. Hamilton
Atmos. Chem. Phys., 18, 11073–11096, https://doi.org/10.5194/acp-18-11073-2018, https://doi.org/10.5194/acp-18-11073-2018, 2018
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Sophie A. Mills, Adam Milsom, Christian Pfrang, A. Rob MacKenzie, and Francis D. Pope
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Jianghao Li, Alastair C. Lewis, Jim R. Hopkins, Stephen J. Andrews, Tim Murrells, Neil Passant, Ben Richmond, Siqi Hou, William Bloss, Roy Harrison, and Zongbo Shi
EGUsphere, https://doi.org/10.5194/egusphere-2023-2294, https://doi.org/10.5194/egusphere-2023-2294, 2023
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
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Marco Paglione, David C. S. Beddows, Anna Jones, Thomas Lachlan-Cope, Matteo Rinaldi, Stefano Decesari, Francesco Manarini, Mara Russo, Karam Mansour, Roy M. Harrison, Andrea Mazzanti, Emilio Tagliavini, and Manuel Dall'Osto
EGUsphere, https://doi.org/10.5194/egusphere-2023-2275, https://doi.org/10.5194/egusphere-2023-2275, 2023
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Applying factor analysis techniques to H-NMR spectra, we present the Organic Aerosol (OA) source apportionment of PM1 samples collected in parallel at two peri-Antarctic stations, namely Signy and Halley, important to investigate aerosol-climate interactions in an unperturbed atmosphere. Our results show remarkable differences between pelagic (open ocean) and sympagic (sea-ice influenced) air masses and indicate that various sources and processes are controlling Antarctic aerosols.
Susan Elizabeth Quick, Giulio Curioni, Nicholas J. Harper, Stefan Krause, and Angus Rob MacKenzie
EGUsphere, https://doi.org/10.5194/egusphere-2023-1522, https://doi.org/10.5194/egusphere-2023-1522, 2023
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Clarissa Baldo, Paola Formenti, Claudia Di Biagio, Gongda Lu, Congbo Song, Mathieu Cazaunau, Edouard Pangui, Jean-Francois Doussin, Pavla Dagsson-Waldhauserova, Olafur Arnalds, David Beddows, A. Robert MacKenzie, and Zongbo Shi
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This paper presents new shortwave spectral complex refractive index and single scattering albedo data for Icelandic dust. Our results show that the imaginary part of the complex refractive index of Icelandic dust is at the upper end of the range of low-latitude dust. Furthermore, we observed that Icelandic dust is more absorbing towards the near-infrared, which we attribute to its high magnetite content. These findings are important for modeling dust aerosol radiative effects in the Arctic.
Joanna E. Dyson, Lisa K. Whalley, Eloise J. Slater, Robert Woodward-Massey, Chunxiang Ye, James D. Lee, Freya Squires, James R. Hopkins, Rachel E. Dunmore, Marvin Shaw, Jacqueline F. Hamilton, Alastair C. Lewis, Stephen D. Worrall, Asan Bacak, Archit Mehra, Thomas J. Bannan, Hugh Coe, Carl J. Percival, Bin Ouyang, C. Nicholas Hewitt, Roderic L. Jones, Leigh R. Crilley, Louisa J. Kramer, W. Joe F. Acton, William J. Bloss, Supattarachai Saksakulkrai, Jingsha Xu, Zongbo Shi, Roy M. Harrison, Simone Kotthaus, Sue Grimmond, Yele Sun, Weiqi Xu, Siyao Yue, Lianfang Wei, Pingqing Fu, Xinming Wang, Stephen R. Arnold, and Dwayne E. Heard
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James Brean, David C. S. Beddows, Roy M. Harrison, Congbo Song, Peter Tunved, Johan Ström, Radovan Krejci, Eyal Freud, Andreas Massling, Henrik Skov, Eija Asmi, Angelo Lupi, and Manuel Dall'Osto
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Our results emphasize how understanding the geographical variation in surface types across the Arctic is key to understanding secondary aerosol sources. We provide a harmonised analysis of new particle formation across the Arctic.
Edward J. Bannister, Mike Jesson, Nicholas J. Harper, Kris M. Hart, Giulio Curioni, Xiaoming Cai, and A. Rob MacKenzie
Atmos. Chem. Phys., 23, 2145–2165, https://doi.org/10.5194/acp-23-2145-2023, https://doi.org/10.5194/acp-23-2145-2023, 2023
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In forests, the residence time of air influences canopy chemistry and atmospheric exchange. However, there have been few field observations. We use long-term open-air CO2 enrichment measurements to show median daytime residence times are twice as long when the trees are in leaf versus when they are not. Residence times increase with increasing atmospheric stability and scale inversely with turbulence. Robust parametrisations for large-scale models are available using common distributions.
Dimitrios Bousiotis, David C. S. Beddows, Ajit Singh, Molly Haugen, Sebastián Diez, Pete M. Edwards, Adam Boies, Roy M. Harrison, and Francis D. Pope
Atmos. Meas. Tech., 15, 4047–4061, https://doi.org/10.5194/amt-15-4047-2022, https://doi.org/10.5194/amt-15-4047-2022, 2022
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In the last decade, low-cost sensors have revolutionised the field of air quality monitoring. This paper extends the ability of low-cost sensors to not only measure air pollution, but also to understand where the pollution comes from. This "source apportionment" is a critical step in air quality management to allow for the mitigation of air pollution. The techniques developed in this paper have the potential for great impact in both research and industrial applications.
Aileen B. Baird, Edward J. Bannister, A. Robert MacKenzie, and Francis D. Pope
Biogeosciences, 19, 2653–2669, https://doi.org/10.5194/bg-19-2653-2022, https://doi.org/10.5194/bg-19-2653-2022, 2022
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Forest environments contain a wide variety of airborne biological particles (bioaerosols) important for plant and animal health and biosphere–atmosphere interactions. Using low-cost sensors and a free-air carbon dioxide enrichment (FACE) experiment, we monitor the impact of enhanced CO2 on airborne particles. No effect of the enhanced CO2 treatment on total particle concentrations was observed, but a potential suppression of high concentration bioaerosol events was detected under enhanced CO2.
Ülkü Alver Şahin, Roy M. Harrison, Mohammed S. Alam, David C. S. Beddows, Dimitrios Bousiotis, Zongbo Shi, Leigh R. Crilley, William Bloss, James Brean, Isha Khanna, and Rulan Verma
Atmos. Chem. Phys., 22, 5415–5433, https://doi.org/10.5194/acp-22-5415-2022, https://doi.org/10.5194/acp-22-5415-2022, 2022
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Wide-range particle size spectra have been measured in three seasons in Delhi and are interpreted in terms of sources and processes. Condensational growth is a major feature of the fine fraction, and a coarse fraction contributes substantially – but only in summer.
Yingze Tian, Xiaoning Wang, Peng Zhao, Zongbo Shi, and Roy M. Harrison
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2021-1007, https://doi.org/10.5194/acp-2021-1007, 2022
Revised manuscript not accepted
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Chemical mass balance (CMB) is a widely used method to apportion the sources of PM2.5. We explore the sensitivity of CMB results to input data of organic markers only (OM-CMB) with a combination of organic and inorganic markers (IOM-CMB), as well as using different chemical profiles for sources. Our results indicate the superiority of combining inorganic and organic tracers and using locally-relevant source profiles in source apportionment of PM.
Zirui Zhang, Wenfei Zhu, Min Hu, Kefan Liu, Hui Wang, Rongzhi Tang, Ruizhe Shen, Ying Yu, Rui Tan, Kai Song, Yuanju Li, Wenbin Zhang, Zhou Zhang, Hongming Xu, Shijin Shuai, Shuangde Li, Yunfa Chen, Jiayun Li, Yuesi Wang, and Song Guo
Atmos. Chem. Phys., 21, 15221–15237, https://doi.org/10.5194/acp-21-15221-2021, https://doi.org/10.5194/acp-21-15221-2021, 2021
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We comprehensively investigated the mass growth potential, oxidation degree, formation pathway, and mass spectra features of typical urban-lifestyle secondary organic aerosols (SOAs) including vehicle SOAs and cooking SOAs. The mass spectra we acquired could provide necessary references to estimate the mass fractions of vehicle and cooking SOAs in the atmosphere, which would greatly decrease the uncertainty in air quality evaluation and health risk assessment in urban areas.
Wenfei Zhu, Song Guo, Zirui Zhang, Hui Wang, Ying Yu, Zheng Chen, Ruizhe Shen, Rui Tan, Kai Song, Kefan Liu, Rongzhi Tang, Yi Liu, Shengrong Lou, Yuanju Li, Wenbin Zhang, Zhou Zhang, Shijin Shuai, Hongming Xu, Shuangde Li, Yunfa Chen, Min Hu, Francesco Canonaco, and Andre S. H. Prévôt
Atmos. Chem. Phys., 21, 15065–15079, https://doi.org/10.5194/acp-21-15065-2021, https://doi.org/10.5194/acp-21-15065-2021, 2021
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The experiments of primary emissions and secondary organic aerosol (SOA) formation from urban lifestyle sources (cooking and vehicles) were conducted. The mass spectral features of primary organic aerosol (POA) and SOA were characterized by using a high-resolution time-of-flight aerosol mass spectrometer. This work, for the first time, establishes the vehicle and cooking SOA source profiles and can be further used as source constraints in the OA source apportionment in the ambient atmosphere.
Deepchandra Srivastava, Jingsha Xu, Tuan V. Vu, Di Liu, Linjie Li, Pingqing Fu, Siqi Hou, Natalia Moreno Palmerola, Zongbo Shi, and Roy M. Harrison
Atmos. Chem. Phys., 21, 14703–14724, https://doi.org/10.5194/acp-21-14703-2021, https://doi.org/10.5194/acp-21-14703-2021, 2021
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This study presents the source apportionment of PM2.5 performed by positive matrix factorization (PMF) at urban and rural sites in Beijing. These factors are interpreted as traffic emissions, biomass burning, road and soil dust, coal and oil combustion, and secondary inorganics. PMF failed to resolve some sources identified by CMB and AMS and appears to overestimate the dust sources. Comparison with earlier PMF studies from the Beijing area highlights inconsistent findings using this method.
Beth S. Nelson, Gareth J. Stewart, Will S. Drysdale, Mike J. Newland, Adam R. Vaughan, Rachel E. Dunmore, Pete M. Edwards, Alastair C. Lewis, Jacqueline F. Hamilton, W. Joe Acton, C. Nicholas Hewitt, Leigh R. Crilley, Mohammed S. Alam, Ülkü A. Şahin, David C. S. Beddows, William J. Bloss, Eloise Slater, Lisa K. Whalley, Dwayne E. Heard, James M. Cash, Ben Langford, Eiko Nemitz, Roberto Sommariva, Sam Cox, Shivani, Ranu Gadi, Bhola R. Gurjar, James R. Hopkins, Andrew R. Rickard, and James D. Lee
Atmos. Chem. Phys., 21, 13609–13630, https://doi.org/10.5194/acp-21-13609-2021, https://doi.org/10.5194/acp-21-13609-2021, 2021
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Ozone production at an urban site in Delhi is sensitive to volatile organic compound (VOC) concentrations, particularly those of the aromatic, monoterpene, and alkene VOC classes. The change in ozone production by varying atmospheric pollutants according to their sources, as defined in an emissions inventory, is investigated. The study suggests that reducing road transport emissions alone does not reduce reactive VOCs in the atmosphere enough to perturb an increase in ozone production.
Dimitrios Bousiotis, Francis D. Pope, David C. S. Beddows, Manuel Dall'Osto, Andreas Massling, Jakob Klenø Nøjgaard, Claus Nordstrøm, Jarkko V. Niemi, Harri Portin, Tuukka Petäjä, Noemi Perez, Andrés Alastuey, Xavier Querol, Giorgos Kouvarakis, Nikos Mihalopoulos, Stergios Vratolis, Konstantinos Eleftheriadis, Alfred Wiedensohler, Kay Weinhold, Maik Merkel, Thomas Tuch, and Roy M. Harrison
Atmos. Chem. Phys., 21, 11905–11925, https://doi.org/10.5194/acp-21-11905-2021, https://doi.org/10.5194/acp-21-11905-2021, 2021
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Formation of new particles is a key process in the atmosphere. New particle formation events arising from nucleation of gaseous precursors have been analysed in extensive datasets from 13 sites in five European countries in terms of frequency, nucleation rate, and particle growth rate, with several common features and many differences identified. Although nucleation frequencies are lower at roadside sites, nucleation rates and particle growth rates are typically higher.
Ernesto Reyes-Villegas, Upasana Panda, Eoghan Darbyshire, James M. Cash, Rutambhara Joshi, Ben Langford, Chiara F. Di Marco, Neil J. Mullinger, Mohammed S. Alam, Leigh R. Crilley, Daniel J. Rooney, W. Joe F. Acton, Will Drysdale, Eiko Nemitz, Michael Flynn, Aristeidis Voliotis, Gordon McFiggans, Hugh Coe, James Lee, C. Nicholas Hewitt, Mathew R. Heal, Sachin S. Gunthe, Tuhin K. Mandal, Bhola R. Gurjar, Shivani, Ranu Gadi, Siddhartha Singh, Vijay Soni, and James D. Allan
Atmos. Chem. Phys., 21, 11655–11667, https://doi.org/10.5194/acp-21-11655-2021, https://doi.org/10.5194/acp-21-11655-2021, 2021
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This paper shows the first multisite online measurements of PM1 in Delhi, India, with measurements over different seasons in Old Delhi and New Delhi in 2018. Organic aerosol (OA) source apportionment was performed using positive matrix factorisation (PMF). Traffic was the main primary aerosol source for both OAs and black carbon, seen with PMF and Aethalometer model analysis, indicating that control of primary traffic exhaust emissions would make a significant reduction to Delhi air pollution.
Congbo Song, Manuel Dall'Osto, Angelo Lupi, Mauro Mazzola, Rita Traversi, Silvia Becagli, Stefania Gilardoni, Stergios Vratolis, Karl Espen Yttri, David C. S. Beddows, Julia Schmale, James Brean, Agung Ghani Kramawijaya, Roy M. Harrison, and Zongbo Shi
Atmos. Chem. Phys., 21, 11317–11335, https://doi.org/10.5194/acp-21-11317-2021, https://doi.org/10.5194/acp-21-11317-2021, 2021
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We present a cluster analysis of relatively long-term (2015–2019) aerosol aerodynamic volume size distributions up to 20 μm in the Arctic for the first time. The study found that anthropogenic and natural aerosols comprised 27 % and 73 % of the occurrence of the coarse-mode aerosols, respectively. Our study shows that about two-thirds of the coarse-mode aerosols are related to two sea-spray-related aerosol clusters, indicating that sea spray aerosol may more complex in the Arctic environment.
Dimitrios Bousiotis, Ajit Singh, Molly Haugen, David C. S. Beddows, Sebastián Diez, Killian L. Murphy, Pete M. Edwards, Adam Boies, Roy M. Harrison, and Francis D. Pope
Atmos. Meas. Tech., 14, 4139–4155, https://doi.org/10.5194/amt-14-4139-2021, https://doi.org/10.5194/amt-14-4139-2021, 2021
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Measurement and source apportionment of atmospheric pollutants are crucial for the assessment of air quality and the implementation of policies for their improvement. This study highlights the current capability of low-cost sensors in source identification and differentiation using clustering approaches. Future directions towards particulate matter source apportionment using low-cost OPCs are highlighted.
Siqi Hou, Di Liu, Jingsha Xu, Tuan V. Vu, Xuefang Wu, Deepchandra Srivastava, Pingqing Fu, Linjie Li, Yele Sun, Athanasia Vlachou, Vaios Moschos, Gary Salazar, Sönke Szidat, André S. H. Prévôt, Roy M. Harrison, and Zongbo Shi
Atmos. Chem. Phys., 21, 8273–8292, https://doi.org/10.5194/acp-21-8273-2021, https://doi.org/10.5194/acp-21-8273-2021, 2021
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This study provides a newly developed method which combines radiocarbon (14C) with organic tracers to enable source apportionment of primary and secondary fossil vs. non-fossil sources of carbonaceous aerosols at an urban and a rural site of Beijing. The source apportionment results were compared with those by chemical mass balance and AMS/ACSM-PMF methods. Correlations of WINSOC and WSOC with different sources of OC were also performed to elucidate the formation mechanisms of SOC.
Jingsha Xu, Di Liu, Xuefang Wu, Tuan V. Vu, Yanli Zhang, Pingqing Fu, Yele Sun, Weiqi Xu, Bo Zheng, Roy M. Harrison, and Zongbo Shi
Atmos. Chem. Phys., 21, 7321–7341, https://doi.org/10.5194/acp-21-7321-2021, https://doi.org/10.5194/acp-21-7321-2021, 2021
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Source apportionment of fine aerosols in an urban site of Beijing used a chemical mass balance (CMB) model. Seven primary sources (industrial/residential coal burning, biomass burning, gasoline/diesel vehicles, cooking and vegetative detritus) explained an average of 75.7 % and 56.1 % of fine OC in winter and summer, respectively. CMB was found to resolve more primary OA sources than AMS-PMF, but the latter apportioned more secondary OA sources.
Steven J. Campbell, Kate Wolfer, Battist Utinger, Joe Westwood, Zhi-Hui Zhang, Nicolas Bukowiecki, Sarah S. Steimer, Tuan V. Vu, Jingsha Xu, Nicholas Straw, Steven Thomson, Atallah Elzein, Yele Sun, Di Liu, Linjie Li, Pingqing Fu, Alastair C. Lewis, Roy M. Harrison, William J. Bloss, Miranda Loh, Mark R. Miller, Zongbo Shi, and Markus Kalberer
Atmos. Chem. Phys., 21, 5549–5573, https://doi.org/10.5194/acp-21-5549-2021, https://doi.org/10.5194/acp-21-5549-2021, 2021
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In this study, we quantify PM2.5 oxidative potential (OP), a metric widely suggested as a potential measure of particle toxicity, in Beijing in summer and winter using four acellular assays. We correlate PM2.5 OP with a comprehensive range of atmospheric and particle composition measurements, demonstrating inter-assay differences and seasonal variation of PM2.5 OP. Using multivariate statistical analysis, we highlight specific particle chemical components and sources that influence OP.
Dimitrios Bousiotis, James Brean, Francis D. Pope, Manuel Dall'Osto, Xavier Querol, Andrés Alastuey, Noemi Perez, Tuukka Petäjä, Andreas Massling, Jacob Klenø Nøjgaard, Claus Nordstrøm, Giorgos Kouvarakis, Stergios Vratolis, Konstantinos Eleftheriadis, Jarkko V. Niemi, Harri Portin, Alfred Wiedensohler, Kay Weinhold, Maik Merkel, Thomas Tuch, and Roy M. Harrison
Atmos. Chem. Phys., 21, 3345–3370, https://doi.org/10.5194/acp-21-3345-2021, https://doi.org/10.5194/acp-21-3345-2021, 2021
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New particle formation events from 16 sites over Europe have been studied, and the influence of meteorological and atmospheric composition variables has been investigated. Some variables, like solar radiation intensity and temperature, have a positive effect on the occurrence of these events, while others have a negative effect, affecting different aspects such as the rate at which particles are formed or grow. This effect varies depending on the site type and magnitude of these variables.
Jingsha Xu, Shaojie Song, Roy M. Harrison, Congbo Song, Lianfang Wei, Qiang Zhang, Yele Sun, Lu Lei, Chao Zhang, Xiaohong Yao, Dihui Chen, Weijun Li, Miaomiao Wu, Hezhong Tian, Lining Luo, Shengrui Tong, Weiran Li, Junling Wang, Guoliang Shi, Yanqi Huangfu, Yingze Tian, Baozhu Ge, Shaoli Su, Chao Peng, Yang Chen, Fumo Yang, Aleksandra Mihajlidi-Zelić, Dragana Đorđević, Stefan J. Swift, Imogen Andrews, Jacqueline F. Hamilton, Ye Sun, Agung Kramawijaya, Jinxiu Han, Supattarachai Saksakulkrai, Clarissa Baldo, Siqi Hou, Feixue Zheng, Kaspar R. Daellenbach, Chao Yan, Yongchun Liu, Markku Kulmala, Pingqing Fu, and Zongbo Shi
Atmos. Meas. Tech., 13, 6325–6341, https://doi.org/10.5194/amt-13-6325-2020, https://doi.org/10.5194/amt-13-6325-2020, 2020
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An interlaboratory comparison was conducted for the first time to examine differences in water-soluble inorganic ions (WSIIs) measured by 10 labs using ion chromatography (IC) and by two online aerosol chemical speciation monitor (ACSM) methods. Major ions including SO42−, NO3− and NH4+ agreed well in 10 IC labs and correlated well with ACSM data. WSII interlab variability strongly affected aerosol acidity results based on ion balance, but aerosol pH computed by ISORROPIA II was very similar.
Atallah Elzein, Gareth J. Stewart, Stefan J. Swift, Beth S. Nelson, Leigh R. Crilley, Mohammed S. Alam, Ernesto Reyes-Villegas, Ranu Gadi, Roy M. Harrison, Jacqueline F. Hamilton, and Alastair C. Lewis
Atmos. Chem. Phys., 20, 14303–14319, https://doi.org/10.5194/acp-20-14303-2020, https://doi.org/10.5194/acp-20-14303-2020, 2020
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We collected high-frequency air particle samples (PM2.5) in Beijing (China) and Delhi (India) and measured the concentration of PAHs in daytime and night-time. PAHs were higher in Delhi than in Beijing, and the five-ring PAHs contribute the most to the total PAH concentration. We compared the emission sources and identified the major sectors that could be subject to mitigation measures. The adverse health effects from inhalation exposure to PAHs in Delhi are 2.2 times higher than in Beijing.
Clarissa Baldo, Paola Formenti, Sophie Nowak, Servanne Chevaillier, Mathieu Cazaunau, Edouard Pangui, Claudia Di Biagio, Jean-Francois Doussin, Konstantin Ignatyev, Pavla Dagsson-Waldhauserova, Olafur Arnalds, A. Robert MacKenzie, and Zongbo Shi
Atmos. Chem. Phys., 20, 13521–13539, https://doi.org/10.5194/acp-20-13521-2020, https://doi.org/10.5194/acp-20-13521-2020, 2020
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We showed that Icelandic dust has a fundamentally different chemical and mineralogical composition from low-latitude dust. In particular, magnetite is as high as 1 %–2 % of the total dust mass. Our results suggest that Icelandic dust may have an important impact on the radiation balance in the subpolar and polar regions.
Sarah S. Steimer, Daniel J. Patton, Tuan V. Vu, Marios Panagi, Paul S. Monks, Roy M. Harrison, Zoë L. Fleming, Zongbo Shi, and Markus Kalberer
Atmos. Chem. Phys., 20, 13303–13318, https://doi.org/10.5194/acp-20-13303-2020, https://doi.org/10.5194/acp-20-13303-2020, 2020
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Air pollution is of growing concern due to its negative effect on public health, especially in low- and middle-income countries. This study investigates how the chemical composition of particles in Beijing changes under different measurement conditions (pollution levels, season) to get a better understanding of the sources of this form of air pollution.
Mohammed S. Alam, Leigh R. Crilley, James D. Lee, Louisa J. Kramer, Christian Pfrang, Mónica Vázquez-Moreno, Milagros Ródenas, Amalia Muñoz, and William J. Bloss
Atmos. Meas. Tech., 13, 5977–5991, https://doi.org/10.5194/amt-13-5977-2020, https://doi.org/10.5194/amt-13-5977-2020, 2020
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We report on the interference arising in measurements of nitrogen oxides (NOx) from the presence of a range of alkenes in sampled air when using the most widespread air quality monitoring technique for chemiluminescence detection. Interferences of up to 11 % are reported, depending upon the alkene present and conditions used. Such interferences may be of substantial importance for the interpretation of ambient NOx data, particularly for high volatile organic compound and low NOx environments.
James Brean, David C. S. Beddows, Zongbo Shi, Brice Temime-Roussel, Nicolas Marchand, Xavier Querol, Andrés Alastuey, María Cruz Minguillón, and Roy M. Harrison
Atmos. Chem. Phys., 20, 10029–10045, https://doi.org/10.5194/acp-20-10029-2020, https://doi.org/10.5194/acp-20-10029-2020, 2020
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New particle formation is a key process influencing both local air quality and climatically active cloud condensation nuclei concentrations. This study has carried out fundamental measurements of nucleation processes in Barcelona, Spain, and concludes that a mechanism involving stabilisation of sulfuric acid clusters by low molecular weight amines is primarily responsible for new particle formation events.
Yingze Tian, Yinchang Feng, Yongli Liang, Yixuan Li, Qianqian Xue, Zongbo Shi, Jingsha Xu, and Roy M. Harrison
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2020-507, https://doi.org/10.5194/acp-2020-507, 2020
Revised manuscript not accepted
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Size distributions of inorganic and organic components in particulate matter (PM) can provide critical information on sources and pollution processes. Ions, elements, carbon fractions, n-alkanes, PAHs, hopanes and steranes in size-resolved PM were analyzed during one year in a northern Chinese megacity. Results reveal that size distributions of inorganic and organic aerosol components are dependent on seasons and pollution levels as a result of differing sources and physicochemical processes.
Daniel J. Bryant, William J. Dixon, James R. Hopkins, Rachel E. Dunmore, Kelly L. Pereira, Marvin Shaw, Freya A. Squires, Thomas J. Bannan, Archit Mehra, Stephen D. Worrall, Asan Bacak, Hugh Coe, Carl J. Percival, Lisa K. Whalley, Dwayne E. Heard, Eloise J. Slater, Bin Ouyang, Tianqu Cui, Jason D. Surratt, Di Liu, Zongbo Shi, Roy Harrison, Yele Sun, Weiqi Xu, Alastair C. Lewis, James D. Lee, Andrew R. Rickard, and Jacqueline F. Hamilton
Atmos. Chem. Phys., 20, 7531–7552, https://doi.org/10.5194/acp-20-7531-2020, https://doi.org/10.5194/acp-20-7531-2020, 2020
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Using the chemical composition of offline filter samples, we report that a large share of oxidized organic aerosol in Beijing during summer is due to isoprene secondary organic aerosol (iSOA). iSOA organosulfates showed a strong correlation with the product of ozone and particulate sulfate. This highlights the role of both photochemistry and the availability of particulate sulfate in heterogeneous reactions and further demonstrates that iSOA formation is controlled by anthropogenic emissions.
Thomas Lachlan-Cope, David C. S. Beddows, Neil Brough, Anna E. Jones, Roy M. Harrison, Angelo Lupi, Young Jun Yoon, Aki Virkkula, and Manuel Dall'Osto
Atmos. Chem. Phys., 20, 4461–4476, https://doi.org/10.5194/acp-20-4461-2020, https://doi.org/10.5194/acp-20-4461-2020, 2020
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We present a statistical cluster analysis of the physical characteristics of particle size distributions collected at Halley (Antarctica) for the year 2015. Complex interactions between multiple ecosystems, coupled with different atmospheric circulation, result in very different aerosol size distributions populating the Southern Hemisphere.
Roberto Sommariva, Louisa J. Kramer, Leigh R. Crilley, Mohammed S. Alam, and William J. Bloss
Atmos. Meas. Tech., 13, 1655–1670, https://doi.org/10.5194/amt-13-1655-2020, https://doi.org/10.5194/amt-13-1655-2020, 2020
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Ozone is a key atmospheric pollutant formed through chemical processing of natural and anthropogenic emissions and removed by reaction with organic compounds emitted by plants. We describe a new instrument – the
Total Ozone Reactivity Systemor TORS – that measures the total loss of ozone in the troposphere. The objective of the TORS instrument is to provide an estimate of the organic compounds emitted by plants which are not measured and thus to improve our understanding of the ozone budget.
Leigh R. Crilley, Ajit Singh, Louisa J. Kramer, Marvin D. Shaw, Mohammed S. Alam, Joshua S. Apte, William J. Bloss, Lea Hildebrandt Ruiz, Pingqing Fu, Weiqi Fu, Shahzad Gani, Michael Gatari, Evgenia Ilyinskaya, Alastair C. Lewis, David Ng'ang'a, Yele Sun, Rachel C. W. Whitty, Siyao Yue, Stuart Young, and Francis D. Pope
Atmos. Meas. Tech., 13, 1181–1193, https://doi.org/10.5194/amt-13-1181-2020, https://doi.org/10.5194/amt-13-1181-2020, 2020
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There is considerable interest in using low-cost optical particle counters (OPCs) for particle mass measurements; however, there is no agreed upon method with respect to calibration. Here we exploit a number of datasets globally to demonstrate that particle composition and relative humidity are the key factors affecting measured concentrations from a low-cost OPC, and we present a simple correction methodology that corrects for this influence.
James Brean, Roy M. Harrison, Zongbo Shi, David C. S. Beddows, W. Joe F. Acton, C. Nicholas Hewitt, Freya A. Squires, and James Lee
Atmos. Chem. Phys., 19, 14933–14947, https://doi.org/10.5194/acp-19-14933-2019, https://doi.org/10.5194/acp-19-14933-2019, 2019
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Measurements of highly oxidized molecules measured during a summer campaign in Beijing are presented. These molecules represent an intermediary between gas-phase chemicals from which they are formed and airborne particles which form from them. Conclusions are drawn as to the factors affecting the formation of new particles within the Beijing atmosphere.
Tuan V. Vu, Zongbo Shi, Jing Cheng, Qiang Zhang, Kebin He, Shuxiao Wang, and Roy M. Harrison
Atmos. Chem. Phys., 19, 11303–11314, https://doi.org/10.5194/acp-19-11303-2019, https://doi.org/10.5194/acp-19-11303-2019, 2019
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A 5-year Clean Air Action Plan was implemented in 2013 to improve ambient air quality in Beijing. Here, we applied a novel machine-learning-based model to determine the real trend in air quality from 2013 to 2017 in Beijing to assess the efficacy of the plan. We showed that the action plan led to a major reduction in primary emissions and significant improvement in air quality. The marked decrease in PM2.5 and SO2 is largely attributable to a reduction in coal combustion.
Ruihe Lyu, Zongbo Shi, Mohammed Salim Alam, Xuefang Wu, Di Liu, Tuan V. Vu, Christopher Stark, Pingqing Fu, Yinchang Feng, and Roy M. Harrison
Atmos. Chem. Phys., 19, 10865–10881, https://doi.org/10.5194/acp-19-10865-2019, https://doi.org/10.5194/acp-19-10865-2019, 2019
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Severe pollution of the Beijing atmosphere is a frequent occurrence. The airborne particles which characterize the episodes of haze contain a wide range of chemical constituents but organic compounds make up a substantial proportion. In this study individual compounds are analysed under both haze and non-haze conditions, and the measurements are compared with samples collected in London, where the air pollution climate and sources are very different.
Zongbo Shi, Tuan Vu, Simone Kotthaus, Roy M. Harrison, Sue Grimmond, Siyao Yue, Tong Zhu, James Lee, Yiqun Han, Matthias Demuzere, Rachel E. Dunmore, Lujie Ren, Di Liu, Yuanlin Wang, Oliver Wild, James Allan, W. Joe Acton, Janet Barlow, Benjamin Barratt, David Beddows, William J. Bloss, Giulia Calzolai, David Carruthers, David C. Carslaw, Queenie Chan, Lia Chatzidiakou, Yang Chen, Leigh Crilley, Hugh Coe, Tie Dai, Ruth Doherty, Fengkui Duan, Pingqing Fu, Baozhu Ge, Maofa Ge, Daobo Guan, Jacqueline F. Hamilton, Kebin He, Mathew Heal, Dwayne Heard, C. Nicholas Hewitt, Michael Hollaway, Min Hu, Dongsheng Ji, Xujiang Jiang, Rod Jones, Markus Kalberer, Frank J. Kelly, Louisa Kramer, Ben Langford, Chun Lin, Alastair C. Lewis, Jie Li, Weijun Li, Huan Liu, Junfeng Liu, Miranda Loh, Keding Lu, Franco Lucarelli, Graham Mann, Gordon McFiggans, Mark R. Miller, Graham Mills, Paul Monk, Eiko Nemitz, Fionna O'Connor, Bin Ouyang, Paul I. Palmer, Carl Percival, Olalekan Popoola, Claire Reeves, Andrew R. Rickard, Longyi Shao, Guangyu Shi, Dominick Spracklen, David Stevenson, Yele Sun, Zhiwei Sun, Shu Tao, Shengrui Tong, Qingqing Wang, Wenhua Wang, Xinming Wang, Xuejun Wang, Zifang Wang, Lianfang Wei, Lisa Whalley, Xuefang Wu, Zhijun Wu, Pinhua Xie, Fumo Yang, Qiang Zhang, Yanli Zhang, Yuanhang Zhang, and Mei Zheng
Atmos. Chem. Phys., 19, 7519–7546, https://doi.org/10.5194/acp-19-7519-2019, https://doi.org/10.5194/acp-19-7519-2019, 2019
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APHH-Beijing is a collaborative international research programme to study the sources, processes and health effects of air pollution in Beijing. This introduction to the special issue provides an overview of (i) the APHH-Beijing programme, (ii) the measurement and modelling activities performed as part of it and (iii) the air quality and meteorological conditions during joint intensive field campaigns as a core activity within APHH-Beijing.
Manuel Dall'Osto, David C. S. Beddows, Peter Tunved, Roy M. Harrison, Angelo Lupi, Vito Vitale, Silvia Becagli, Rita Traversi, Ki-Tae Park, Young Jun Yoon, Andreas Massling, Henrik Skov, Robert Lange, Johan Strom, and Radovan Krejci
Atmos. Chem. Phys., 19, 7377–7395, https://doi.org/10.5194/acp-19-7377-2019, https://doi.org/10.5194/acp-19-7377-2019, 2019
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We present a cluster analysis of particle size distributions simultaneously collected from three European high Arctic sites centred in the Fram Strait during a 3-year period. Confined for longer time periods by consolidated pack sea ice regions, the Greenland site shows lower ultrafine-mode aerosol concentrations during summer relative to the Svalbard sites. Our study supports international environmental cooperation concerning the Arctic region.
Yue Liu, Mei Zheng, Mingyuan Yu, Xuhui Cai, Huiyun Du, Jie Li, Tian Zhou, Caiqing Yan, Xuesong Wang, Zongbo Shi, Roy M. Harrison, Qiang Zhang, and Kebin He
Atmos. Chem. Phys., 19, 6595–6609, https://doi.org/10.5194/acp-19-6595-2019, https://doi.org/10.5194/acp-19-6595-2019, 2019
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This study is part of the UK–China APHH campaign. To identify both source types and source regions at the same time, this study developed a combined method including receptor model, footprint model, and air quality model for the first time to investigate sources of PM2.5 during haze episodes in Beijing. It is an expansion of the application of the receptor model and is helpful for formulating effective control strategies to improve air quality in this region.
Dimitrios Bousiotis, Manuel Dall'Osto, David C. S. Beddows, Francis D. Pope, and Roy M. Harrison
Atmos. Chem. Phys., 19, 5679–5694, https://doi.org/10.5194/acp-19-5679-2019, https://doi.org/10.5194/acp-19-5679-2019, 2019
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New particle formation events are identified at three sites in southern England, including a roadside and urban background site within London and a rural regional background site. The conditions favouring new particle formation events are identified and compared between the sites. Although a higher degree of pollution presents a greater condensation sink, it appears to be largely compensated for by faster particle growth rates.
David C. S. Beddows and Roy M. Harrison
Atmos. Chem. Phys., 19, 4863–4876, https://doi.org/10.5194/acp-19-4863-2019, https://doi.org/10.5194/acp-19-4863-2019, 2019
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Airborne particles are a cause of illness and premature death. Cost-effective control of particles in the atmosphere depends upon a reliable knowledge of their sources. This paper proposes and tests a new method for attributing particles quantitatively to the sources responsible for their emission or atmospheric formation.
Ruihe Lyu, Mohammed S. Alam, Christopher Stark, Ruixin Xu, Zongbo Shi, Yinchang Feng, and Roy M. Harrison
Atmos. Chem. Phys., 19, 2233–2246, https://doi.org/10.5194/acp-19-2233-2019, https://doi.org/10.5194/acp-19-2233-2019, 2019
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Organic matter comprises a substantial proportion of the mass of toxic airborne particles which cause poor health and premature death. In this paper, new measurements of three important groups of organic compounds are reported and are analysed to infer their sources and their contributions to airborne particle concentrations.
Roy M. Harrison, David C. S. Beddows, Mohammed S. Alam, Ajit Singh, James Brean, Ruixin Xu, Simone Kotthaus, and Sue Grimmond
Atmos. Chem. Phys., 19, 39–55, https://doi.org/10.5194/acp-19-39-2019, https://doi.org/10.5194/acp-19-39-2019, 2019
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Particle number size distributions were measured simultaneously at five sites in London during a campaign. Observations are interpreted in terms of both evaporative shrinkage of traffic-generated particles and condensational growth, probably of traffic-generated particles under cool nocturnal conditions, as well as the influence of particles emitted from Heathrow Airport at a distance of about 22 km. The work highlights the highly dynamic behaviour of nanoparticles within the urban atmosphere.
Irina Nikolova, Xiaoming Cai, Mohammed Salim Alam, Soheil Zeraati-Rezaei, Jian Zhong, A. Rob MacKenzie, and Roy M. Harrison
Atmos. Chem. Phys., 18, 17143–17155, https://doi.org/10.5194/acp-18-17143-2018, https://doi.org/10.5194/acp-18-17143-2018, 2018
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There are increasing health concerns about the smallest airborne particles found in polluted urban atmospheres. These particles are composed of a mixture of oil-derived substances, but the exact composition is not known and is likely to be very complicated. We provide a way to compute how these particles change as their chemical make-up changes. We also outline the range of particle compositions that reproduce the behaviour of the smallest particles seen in field measurements.
Cristina Carnerero, Noemí Pérez, Cristina Reche, Marina Ealo, Gloria Titos, Hong-Ku Lee, Hee-Ram Eun, Yong-Hee Park, Lubna Dada, Pauli Paasonen, Veli-Matti Kerminen, Enrique Mantilla, Miguel Escudero, Francisco J. Gómez-Moreno, Elisabeth Alonso-Blanco, Esther Coz, Alfonso Saiz-Lopez, Brice Temime-Roussel, Nicolas Marchand, David C. S. Beddows, Roy M. Harrison, Tuukka Petäjä, Markku Kulmala, Kang-Ho Ahn, Andrés Alastuey, and Xavier Querol
Atmos. Chem. Phys., 18, 16601–16618, https://doi.org/10.5194/acp-18-16601-2018, https://doi.org/10.5194/acp-18-16601-2018, 2018
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The vertical distribution of new particle formation events was studied using tethered balloons carrying miniaturized instrumentation. Results show that new particle formation and growth occurs only in the lower layer of the atmosphere, where aerosols are mixed due to convection, especially when the atmosphere is clean. A comparison of urban and suburban surface stations was also made, suggesting that such events may have a significant impact on ultrafine particle concentrations in a wide area.
Tuomo Nieminen, Veli-Matti Kerminen, Tuukka Petäjä, Pasi P. Aalto, Mikhail Arshinov, Eija Asmi, Urs Baltensperger, David C. S. Beddows, Johan Paul Beukes, Don Collins, Aijun Ding, Roy M. Harrison, Bas Henzing, Rakesh Hooda, Min Hu, Urmas Hõrrak, Niku Kivekäs, Kaupo Komsaare, Radovan Krejci, Adam Kristensson, Lauri Laakso, Ari Laaksonen, W. Richard Leaitch, Heikki Lihavainen, Nikolaos Mihalopoulos, Zoltán Németh, Wei Nie, Colin O'Dowd, Imre Salma, Karine Sellegri, Birgitta Svenningsson, Erik Swietlicki, Peter Tunved, Vidmantas Ulevicius, Ville Vakkari, Marko Vana, Alfred Wiedensohler, Zhijun Wu, Annele Virtanen, and Markku Kulmala
Atmos. Chem. Phys., 18, 14737–14756, https://doi.org/10.5194/acp-18-14737-2018, https://doi.org/10.5194/acp-18-14737-2018, 2018
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Atmospheric aerosols have diverse effects on air quality, human health, and global climate. One important source of aerosols is their formation via nucleation and growth in the atmosphere. We have analyzed long-term observations of regional new particle formation events around the globe and provide a comprehensive view on the characteristics of this phenomenon in diverse environments. The results are useful in developing more realistic representation of atmospheric aerosols in global models.
Kelly L. Pereira, Rachel Dunmore, James Whitehead, M. Rami Alfarra, James D. Allan, Mohammed S. Alam, Roy M. Harrison, Gordon McFiggans, and Jacqueline F. Hamilton
Atmos. Chem. Phys., 18, 11073–11096, https://doi.org/10.5194/acp-18-11073-2018, https://doi.org/10.5194/acp-18-11073-2018, 2018
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Exhaust emissions from a light-duty diesel engine were introduced into an atmospheric simulation chamber which was used as a holding-cell for sampling, allowing instruments capable of providing detailed chemical speciation of exhaust gas emissions to be used. The effect of different engine conditions on the exhaust gas composition was investigated. The exhaust composition changed considerably due to two influencing factors, engine combustion and diesel oxidative catalyst efficiency.
Xavier Querol, Andrés Alastuey, Gotzon Gangoiti, Noemí Perez, Hong K. Lee, Heeram R. Eun, Yonghee Park, Enrique Mantilla, Miguel Escudero, Gloria Titos, Lucio Alonso, Brice Temime-Roussel, Nicolas Marchand, Juan R. Moreta, M. Arantxa Revuelta, Pedro Salvador, Begoña Artíñano, Saúl García dos Santos, Mónica Anguas, Alberto Notario, Alfonso Saiz-Lopez, Roy M. Harrison, Millán Millán, and Kang-Ho Ahn
Atmos. Chem. Phys., 18, 6511–6533, https://doi.org/10.5194/acp-18-6511-2018, https://doi.org/10.5194/acp-18-6511-2018, 2018
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We show the main drivers of high O3 episodes in and around Madrid. High levels of ultrafine particles (UFPs) are evidenced, but we demonstrate that most O3 arises from the fumigation of high atmospheric layers, whereas UFPs are generated inside the PBL. O3 contributions from the fumigation of the vertical recirculation of regional air masses, hemispheric transport, and horizontally from direct urban plume transport are shown. Complexity arises from the need to quantify them to abate surface O3.
Mauro Masiol, Roy M. Harrison, Tuan V. Vu, and David C. S. Beddows
Atmos. Chem. Phys., 17, 12379–12403, https://doi.org/10.5194/acp-17-12379-2017, https://doi.org/10.5194/acp-17-12379-2017, 2017
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Measurements of airborne particulate matter have been conducted using a scanning mobility particle sizer at a site in the vicinity of Heathrow Airport, London. The measured particle size distributions have been assessed both by k means clustering and PMF analysis in conjunction with measurements of meteorological variables and chemical composition. The results give a quantitative estimate of the impact of aircraft and airport emissions on local air quality.
Xavier Querol, Gotzon Gangoiti, Enrique Mantilla, Andrés Alastuey, Maria Cruz Minguillón, Fulvio Amato, Cristina Reche, Mar Viana, Teresa Moreno, Angeliki Karanasiou, Ioar Rivas, Noemí Pérez, Anna Ripoll, Mariola Brines, Marina Ealo, Marco Pandolfi, Hong-Ku Lee, Hee-Ram Eun, Yong-Hee Park, Miguel Escudero, David Beddows, Roy M. Harrison, Amelie Bertrand, Nicolas Marchand, Andrei Lyasota, Bernat Codina, Miriam Olid, Mireia Udina, Bernat Jiménez-Esteve, María R. Soler, Lucio Alonso, Millán Millán, and Kang-Ho Ahn
Atmos. Chem. Phys., 17, 2817–2838, https://doi.org/10.5194/acp-17-2817-2017, https://doi.org/10.5194/acp-17-2817-2017, 2017
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High summer O3 episodes in NE Spain were analysed. We evidence the relevance of local emission of precursors in meteorological scenarios of vertical air mass recirculations, when transboundary contributions are also significant. Forecasting these scenarios and sensitivity analysis of possible O3 precursors drop are key for potential abatement strategies. However, this is a very difficult task due to the complexity of scenarios, the external contributions, and the complex O3 production reactions.
Suad S. Al-Kindi, Francis D. Pope, David C. Beddows, William J. Bloss, and Roy M. Harrison
Atmos. Chem. Phys., 16, 15561–15579, https://doi.org/10.5194/acp-16-15561-2016, https://doi.org/10.5194/acp-16-15561-2016, 2016
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Oleic acid is a chemical substance which is emitted from cooking processes and is present as tiny particles in the atmosphere. The oleic acid in the particles reacts chemically with atmospheric ozone, causing substantial changes to the composition of the particles. This paper uses new techniques to explore these chemical reactions and the effect of humidity upon them. The significance of the results for the atmosphere is considered.
Manuel Dall'Osto, David C. S. Beddows, Eoin J. McGillicuddy, Johanna K. Esser-Gietl, Roy M. Harrison, and John C. Wenger
Atmos. Chem. Phys., 16, 9693–9710, https://doi.org/10.5194/acp-16-9693-2016, https://doi.org/10.5194/acp-16-9693-2016, 2016
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The aerosol time-of-flight mass spectrometer (ATOFMS) provides size resolved information on the chemical composition of single particles with high time resolution. Within SAPUSS (Solving Aerosol Problems by Using Synergistic Strategies), continuous measurements of ambient particles were made simultaneously at two urban locations in the city of Barcelona (Spain). We find that organic nitrogen is a considerable fraction of the single particles detected, especially at the traffic-dominated site.
Fulvio Amato, Andrés Alastuey, Angeliki Karanasiou, Franco Lucarelli, Silvia Nava, Giulia Calzolai, Mirko Severi, Silvia Becagli, Vorne L. Gianelle, Cristina Colombi, Celia Alves, Danilo Custódio, Teresa Nunes, Mario Cerqueira, Casimiro Pio, Konstantinos Eleftheriadis, Evangelia Diapouli, Cristina Reche, María Cruz Minguillón, Manousos-Ioannis Manousakas, Thomas Maggos, Stergios Vratolis, Roy M. Harrison, and Xavier Querol
Atmos. Chem. Phys., 16, 3289–3309, https://doi.org/10.5194/acp-16-3289-2016, https://doi.org/10.5194/acp-16-3289-2016, 2016
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Harmonized source apportionment of atmospheric particulate matter (PM10 and PM2.5) at 5 EU cities (Barcelona, Florence, Milan, Athens and Porto) reveals that vehicle exhaust (excluding nitrate) plus non-exhaust contributes 16–32 % to PM10 and 15–36 % to PM2.5. Secondary PM represents 37–82 % of PM2.5. Biomass burning varies from < 2 to 24 % of PM10, depending on the residential heating fuel. Other sources are local dust (7–19 % of PM10), industries (4–11 % of PM10), shipping, sea salt and Saharan dust.
A. S. Fonseca, N. Talbot, J. Schwarz, J. Ondráček, V. Ždímal, J. Kozáková, M. Viana, A. Karanasiou, X. Querol, A. Alastuey, T. V. Vu, J. M. Delgado-Saborit, and R. M. Harrison
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2015-1016, https://doi.org/10.5194/acp-2015-1016, 2016
Revised manuscript not accepted
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This work assessed the performance of 4 cascade impactors, by means of two intercomparison exercises in 2 European locations. The comparability between the different types of impactors assessed was dependent on particle size and on impactor design characteristics. Particle processes such as particle bounce, dissociation of semi volatiles in the coarser stages and/or particle shrinkage were identified as the main causes for the differences observed in particle mass across size fractions.
D. C. S. Beddows, R. M. Harrison, D. C. Green, and G. W. Fuller
Atmos. Chem. Phys., 15, 10107–10125, https://doi.org/10.5194/acp-15-10107-2015, https://doi.org/10.5194/acp-15-10107-2015, 2015
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Particles in the air of London have been assessed both by weight and by number. They have also been subject to chemical analysis. The data from 2 years of sampling have been used to investigate the sources contributing to the measured concentrations both in terms of the weight of the particles and the number of particles.
J. G. Levine, A. R. MacKenzie, O. J. Squire, A. T. Archibald, P. T. Griffiths, N. L. Abraham, J. A. Pyle, D. E. Oram, G. Forster, J. F. Brito, J. D. Lee, J. R. Hopkins, A. C. Lewis, S. J. B. Bauguitte, C. F. Demarco, P. Artaxo, P. Messina, J. Lathière, D. A. Hauglustaine, E. House, C. N. Hewitt, and E. Nemitz
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acpd-15-24251-2015, https://doi.org/10.5194/acpd-15-24251-2015, 2015
Revised manuscript has not been submitted
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This study explores our ability to simulate atmospheric chemistry stemming from isoprene emissions—a reactive gas emitted from vegetation—in pristine and polluted regions of the Amazon basin. We explore how two contrasting models fare in reproducing recent airborne measurements in the region. Their differing treatments of transport and mixing are found to: profoundly affect their performance; and yield very different pictures of the exposure of the rainforest to harmful ozone concentrations.
K. P. Wyche, P. S. Monks, K. L. Smallbone, J. F. Hamilton, M. R. Alfarra, A. R. Rickard, G. B. McFiggans, M. E. Jenkin, W. J. Bloss, A. C. Ryan, C. N. Hewitt, and A. R. MacKenzie
Atmos. Chem. Phys., 15, 8077–8100, https://doi.org/10.5194/acp-15-8077-2015, https://doi.org/10.5194/acp-15-8077-2015, 2015
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This paper describes a new ensemble methodology for the statistical analysis of atmospheric gas- & particle-phase composition data sets. The methodology reduces the huge amount of data derived from many chamber experiments to show that organic reactivity & resultant particle formation can be mapped into unique clusters in statistical space. The model generated is used to map more realistic plant mesocosm oxidation data, the projection of which gives insight into reactive pathways & precursors.
A. C. Valach, B. Langford, E. Nemitz, A. R. MacKenzie, and C. N. Hewitt
Atmos. Chem. Phys., 15, 7777–7796, https://doi.org/10.5194/acp-15-7777-2015, https://doi.org/10.5194/acp-15-7777-2015, 2015
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Concentrations and fluxes of selected volatile organic compounds were measured over a 5-month period in central London as part of the ClearfLo project using a proton transfer reaction mass spectrometer. Emission sources within the city were inferred from spatio-temporal patterns and showed a detectable biogenic source during warmer months, which was modelled using the Guenther 95 algorithm. Comparisons were made with the local emissions inventories showing mostly underestimated emissions.
D. E. Young, J. D. Allan, P. I. Williams, D. C. Green, M. J. Flynn, R. M. Harrison, J. Yin, M. W. Gallagher, and H. Coe
Atmos. Chem. Phys., 15, 6351–6366, https://doi.org/10.5194/acp-15-6351-2015, https://doi.org/10.5194/acp-15-6351-2015, 2015
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For the first time, the behaviour of non-refractory inorganic and organic submicron particulates through an entire annual cycle is investigated at a UK urban background site. We show secondary aerosols account for a significant fraction of the submicron aerosol burden, high concentration events are governed by different factors depending on season, and on an annual basis there is no variability in the extent of secondary organic aerosol oxidation.
M. Brines, M. Dall'Osto, D. C. S. Beddows, R. M. Harrison, F. Gómez-Moreno, L. Núñez, B. Artíñano, F. Costabile, G. P. Gobbi, F. Salimi, L. Morawska, C. Sioutas, and X. Querol
Atmos. Chem. Phys., 15, 5929–5945, https://doi.org/10.5194/acp-15-5929-2015, https://doi.org/10.5194/acp-15-5929-2015, 2015
L. R. Crilley, W. J. Bloss, J. Yin, D. C. S. Beddows, R. M. Harrison, J. D. Allan, D. E. Young, M. Flynn, P. Williams, P. Zotter, A. S. H. Prevot, M. R. Heal, J. F. Barlow, C. H. Halios, J. D. Lee, S. Szidat, and C. Mohr
Atmos. Chem. Phys., 15, 3149–3171, https://doi.org/10.5194/acp-15-3149-2015, https://doi.org/10.5194/acp-15-3149-2015, 2015
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Wood is a renewable fuel but its combustion for residential heating releases a number of locally acting air pollutants, most notably particulate matter known to have adverse effects on human health. This paper used chemical tracers for wood smoke to estimate the contribution that burning wood makes to concentrations of airborne particles in the atmosphere of southern England and most particularly in London.
D. E. Young, J. D. Allan, P. I. Williams, D. C. Green, R. M. Harrison, J. Yin, M. J. Flynn, M. W. Gallagher, and H. Coe
Atmos. Chem. Phys., 15, 2429–2443, https://doi.org/10.5194/acp-15-2429-2015, https://doi.org/10.5194/acp-15-2429-2015, 2015
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Two solid fuel organic aerosol (SFOA) factors, both associated with domestic space heating activities, were derived from positive matrix factorisation (PMF) applied to organic aerosol data from an aerosol mass spectrometer (AMS) deployed at an urban background site in London during winter 2012. The factors controlling the split between the two SFOA factors were assessed, and it is concluded the split is likely governed predominantly by differences in burn conditions.
J. Yin, S. A. Cumberland, R. M. Harrison, J. Allan, D. E. Young, P. I. Williams, and H. Coe
Atmos. Chem. Phys., 15, 2139–2158, https://doi.org/10.5194/acp-15-2139-2015, https://doi.org/10.5194/acp-15-2139-2015, 2015
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Breathing particles from polluted air is known to cause increased health complaints and higher death rates. Airborne particles come from a range of sources; in order to implement cost-effective control measures, it is necessary to understand the amount contributed by each. In this paper, two advanced procedures for estimating the contributions of particle sources in London are compared with one another, revealing a wide range of sources including traffic, woodsmoke and cooking particles.
K. P. Wyche, A. C. Ryan, C. N. Hewitt, M. R. Alfarra, G. McFiggans, T. Carr, P. S. Monks, K. L. Smallbone, G. Capes, J. F. Hamilton, T. A. M. Pugh, and A. R. MacKenzie
Atmos. Chem. Phys., 14, 12781–12801, https://doi.org/10.5194/acp-14-12781-2014, https://doi.org/10.5194/acp-14-12781-2014, 2014
S. Decesari, J. Allan, C. Plass-Duelmer, B. J. Williams, M. Paglione, M. C. Facchini, C. O'Dowd, R. M. Harrison, J. K. Gietl, H. Coe, L. Giulianelli, G. P. Gobbi, C. Lanconelli, C. Carbone, D. Worsnop, A. T. Lambe, A. T. Ahern, F. Moretti, E. Tagliavini, T. Elste, S. Gilge, Y. Zhang, and M. Dall'Osto
Atmos. Chem. Phys., 14, 12109–12132, https://doi.org/10.5194/acp-14-12109-2014, https://doi.org/10.5194/acp-14-12109-2014, 2014
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We made use of multiple spectrometric techniques for characterizing the aerosol chemical composition and mixing in the Po Valley in the summer.
The oxygenated organic aerosol (OOA) concentrations were correlated with simple tracers for recirculated planetary boundary layer air.
A full internal mixing between black carbon (BC) and the non-refractory aerosol components was never observed. Local sources in the Po Valley were responsible for the production of organic particles unmixed with BC.
D. Liu, J. D. Allan, D. E. Young, H. Coe, D. Beddows, Z. L. Fleming, M. J. Flynn, M. W. Gallagher, R. M. Harrison, J. Lee, A. S. H. Prevot, J. W. Taylor, J. Yin, P. I. Williams, and P. Zotter
Atmos. Chem. Phys., 14, 10061–10084, https://doi.org/10.5194/acp-14-10061-2014, https://doi.org/10.5194/acp-14-10061-2014, 2014
G. W. Mann, K. S. Carslaw, C. L. Reddington, K. J. Pringle, M. Schulz, A. Asmi, D. V. Spracklen, D. A. Ridley, M. T. Woodhouse, L. A. Lee, K. Zhang, S. J. Ghan, R. C. Easter, X. Liu, P. Stier, Y. H. Lee, P. J. Adams, H. Tost, J. Lelieveld, S. E. Bauer, K. Tsigaridis, T. P. C. van Noije, A. Strunk, E. Vignati, N. Bellouin, M. Dalvi, C. E. Johnson, T. Bergman, H. Kokkola, K. von Salzen, F. Yu, G. Luo, A. Petzold, J. Heintzenberg, A. Clarke, J. A. Ogren, J. Gras, U. Baltensperger, U. Kaminski, S. G. Jennings, C. D. O'Dowd, R. M. Harrison, D. C. S. Beddows, M. Kulmala, Y. Viisanen, V. Ulevicius, N. Mihalopoulos, V. Zdimal, M. Fiebig, H.-C. Hansson, E. Swietlicki, and J. S. Henzing
Atmos. Chem. Phys., 14, 4679–4713, https://doi.org/10.5194/acp-14-4679-2014, https://doi.org/10.5194/acp-14-4679-2014, 2014
D. C. S. Beddows, M. Dall'Osto, R. M. Harrison, M. Kulmala, A. Asmi, A. Wiedensohler, P. Laj, A.M. Fjaeraa, K. Sellegri, W. Birmili, N. Bukowiecki, E. Weingartner, U. Baltensperger, V. Zdimal, N. Zikova, J.-P. Putaud, A. Marinoni, P. Tunved, H.-C. Hansson, M. Fiebig, N. Kivekäs, E. Swietlicki, H. Lihavainen, E. Asmi, V. Ulevicius, P. P. Aalto, N. Mihalopoulos, N. Kalivitis, I. Kalapov, G. Kiss, G. de Leeuw, B. Henzing, C. O'Dowd, S. G. Jennings, H. Flentje, F. Meinhardt, L. Ries, H. A. C. Denier van der Gon, and A. J. H. Visschedijk
Atmos. Chem. Phys., 14, 4327–4348, https://doi.org/10.5194/acp-14-4327-2014, https://doi.org/10.5194/acp-14-4327-2014, 2014
M. S. Alam, J. M. Delgado-Saborit, C. Stark, and R. M. Harrison
Atmos. Chem. Phys., 14, 2467–2477, https://doi.org/10.5194/acp-14-2467-2014, https://doi.org/10.5194/acp-14-2467-2014, 2014
M. Dall'Osto, X. Querol, A. Alastuey, M. C. Minguillon, M. Alier, F. Amato, M. Brines, M. Cusack, J. O. Grimalt, A. Karanasiou, T. Moreno, M. Pandolfi, J. Pey, C. Reche, A. Ripoll, R. Tauler, B. L. Van Drooge, M. Viana, R. M. Harrison, J. Gietl, D. Beddows, W. Bloss, C. O'Dowd, D. Ceburnis, G. Martucci, N. L. Ng, D. Worsnop, J. Wenger, E. Mc Gillicuddy, J. Sodeau, R. Healy, F. Lucarelli, S. Nava, J. L. Jimenez, F. Gomez Moreno, B. Artinano, A. S. H. Prévôt, L. Pfaffenberger, S. Frey, F. Wilsenack, D. Casabona, P. Jiménez-Guerrero, D. Gross, and N. Cots
Atmos. Chem. Phys., 13, 8991–9019, https://doi.org/10.5194/acp-13-8991-2013, https://doi.org/10.5194/acp-13-8991-2013, 2013
J. Genberg, H. A. C. Denier van der Gon, D. Simpson, E. Swietlicki, H. Areskoug, D. Beddows, D. Ceburnis, M. Fiebig, H. C. Hansson, R. M. Harrison, S. G. Jennings, S. Saarikoski, G. Spindler, A. J. H. Visschedijk, A. Wiedensohler, K. E. Yttri, and R. Bergström
Atmos. Chem. Phys., 13, 8719–8738, https://doi.org/10.5194/acp-13-8719-2013, https://doi.org/10.5194/acp-13-8719-2013, 2013
A. M. Horseman, T. Richardson, A. T. Boardman, W. Tych, R. Timmis, and A. R. MacKenzie
Atmos. Meas. Tech., 6, 1371–1379, https://doi.org/10.5194/amt-6-1371-2013, https://doi.org/10.5194/amt-6-1371-2013, 2013
A. Charron, C. Degrendele, B. Laongsri, and R. M. Harrison
Atmos. Chem. Phys., 13, 1879–1894, https://doi.org/10.5194/acp-13-1879-2013, https://doi.org/10.5194/acp-13-1879-2013, 2013
M. Dall'Osto, X. Querol, A. Alastuey, C. O'Dowd, R. M. Harrison, J. Wenger, and F. J. Gómez-Moreno
Atmos. Chem. Phys., 13, 741–759, https://doi.org/10.5194/acp-13-741-2013, https://doi.org/10.5194/acp-13-741-2013, 2013
O. Hertel, C. A. Skjøth, S. Reis, A. Bleeker, R. M. Harrison, J. N. Cape, D. Fowler, U. Skiba, D. Simpson, T. Jickells, M. Kulmala, S. Gyldenkærne, L. L. Sørensen, J. W. Erisman, and M. A. Sutton
Biogeosciences, 9, 4921–4954, https://doi.org/10.5194/bg-9-4921-2012, https://doi.org/10.5194/bg-9-4921-2012, 2012
Related subject area
Subject: Gases | Technique: Laboratory Measurement | Topic: Data Processing and Information Retrieval
Reconstruction of high-frequency methane atmospheric concentration peaks from measurements using metal oxide low-cost sensors
Cavity ring-down spectroscopy of water vapor in the deep-blue region
Development and application of a supervised pattern recognition algorithm for identification of fuel-specific emissions profiles
Orbitool: a software tool for analyzing online Orbitrap mass spectrometry data
Dynamic infrared gas analysis from longleaf pine fuel beds burned in a wind tunnel: observation of phenol in pyrolysis and combustion phases
High-precision measurements of nitrous oxide and methane in air with cavity ring-down spectroscopy at 7.6 µm
Measurement of alkyl and multifunctional organic nitrates by proton-transfer-reaction mass spectrometry
Uncertainty budgets of major ozone absorption cross sections used in UV remote sensing applications
New and improved infrared absorption cross sections for chlorodifluoromethane (HCFC-22)
High spectral resolution ozone absorption cross-sections – Part 1: Measurements, data analysis and comparison with previous measurements around 293 K
High spectral resolution ozone absorption cross-sections – Part 2: Temperature dependence
Maintaining consistent traceability in high-precision isotope measurements of CO2: a way to verify atmospheric trends of δ13C and δ18O
On the interference of Kr during carbon isotope analysis of methane using continuous-flow combustion–isotope ratio mass spectrometry
OH clock determination by proton transfer reaction mass spectrometry at an environmental chamber
Water isotopic ratios from a continuously melted ice core sample
Rodrigo Andres Rivera Martinez, Diego Santaren, Olivier Laurent, Gregoire Broquet, Ford Cropley, Cécile Mallet, Michel Ramonet, Adil Shah, Leonard Rivier, Caroline Bouchet, Catherine Juery, Olivier Duclaux, and Philippe Ciais
Atmos. Meas. Tech., 16, 2209–2235, https://doi.org/10.5194/amt-16-2209-2023, https://doi.org/10.5194/amt-16-2209-2023, 2023
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A network of low-cost sensors is a good alternative to improve the detection of fugitive CH4 emissions. We present the results of four tests conducted with two types of Figaro sensors that were assembled on four chambers in a laboratory experiment: a comparison of five models to reconstruct the CH4 signal, a strategy to reduce the training set size, a detection of age effects in the sensors and a test of the capability to transfer a model between chambers for the same type of sensor.
Qing-Ying Yang, Eamon K. Conway, Hui Liang, Iouli E. Gordon, Yan Tan, and Shui-Ming Hu
Atmos. Meas. Tech., 15, 4463–4472, https://doi.org/10.5194/amt-15-4463-2022, https://doi.org/10.5194/amt-15-4463-2022, 2022
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Water vapor absorption in the near-UV region is essential to describe the energy budget of Earth; however, there is little spectroscopic information available. And accurate near-UV water absorption is also required in both ground-based observations and satellite missions for trace gas species. Here, we provide the high-resolution spectra of water vapor around 415 nm measured with cavity ring-down spectroscopy. These absorption lines have never been experimentally verified before.
Christos Stamatis and Kelley Claire Barsanti
Atmos. Meas. Tech., 15, 2591–2606, https://doi.org/10.5194/amt-15-2591-2022, https://doi.org/10.5194/amt-15-2591-2022, 2022
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Building on the identification of hundreds of gas-phase chemicals in smoke samples from laboratory and field studies, an algorithm was developed that successfully identified chemical patterns that were consistent among types of trees and unique between types of trees that are common fuels in western coniferous forests. The algorithm is a promising approach for selecting chemical speciation profiles for air quality modeling using a highly reduced suite of measured compounds.
Runlong Cai, Yihao Li, Yohann Clément, Dandan Li, Clément Dubois, Marlène Fabre, Laurence Besson, Sebastien Perrier, Christian George, Mikael Ehn, Cheng Huang, Ping Yi, Yingge Ma, and Matthieu Riva
Atmos. Meas. Tech., 14, 2377–2387, https://doi.org/10.5194/amt-14-2377-2021, https://doi.org/10.5194/amt-14-2377-2021, 2021
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Orbitool is an open-source software tool, mainly coded in Python, with a graphical user interface (GUI), specifically developed to facilitate the analysis of online Orbitrap mass spectrometric data. It is notably optimized for long-term atmospheric measurements and laboratory studies.
Catherine A. Banach, Ashley M. Bradley, Russell G. Tonkyn, Olivia N. Williams, Joey Chong, David R. Weise, Tanya L. Myers, and Timothy J. Johnson
Atmos. Meas. Tech., 14, 2359–2376, https://doi.org/10.5194/amt-14-2359-2021, https://doi.org/10.5194/amt-14-2359-2021, 2021
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We have developed a novel method to identify and characterize the gases emitted in biomass burning fires in a time-resolved fashion. Using time-resolved infrared spectroscopy combined with time-resolved thermal imaging in a wind tunnel, we were able to capture the gas-phase dynamics of the burning of plants native to the southeastern United States.
Jing Tang, Bincheng Li, and Jing Wang
Atmos. Meas. Tech., 12, 2851–2861, https://doi.org/10.5194/amt-12-2851-2019, https://doi.org/10.5194/amt-12-2851-2019, 2019
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A high-sensitivity CH4 and N2O sensor based on mid-IR (7.6 µm) cavity ring-down spectroscopy was developed. The effect of temperature fluctuation on measurement sensitivity was analyzed and corrected, and detection limits of 5 pptv for CH4 and 9 pptv for N2O were experimentally achieved. Separate and continuous measurements of CH4 and N2O concentrations of indoor and outdoor air at different locations showed the spatial and temporal concentration variations of CH4 and N2O in air.
Marius Duncianu, Marc David, Sakthivel Kartigueyane, Manuela Cirtog, Jean-François Doussin, and Benedicte Picquet-Varrault
Atmos. Meas. Tech., 10, 1445–1463, https://doi.org/10.5194/amt-10-1445-2017, https://doi.org/10.5194/amt-10-1445-2017, 2017
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A commercial PTR-ToF-MS has been optimized in order to allow the measurement of individual organic nitrates in the atmosphere. This has been accomplished by shifting the distribution between different ionizing analytes. The proposed approach has been proved to be appropriate for the online detection of individual alkyl nitrates and functionalized nitrates.
Mark Weber, Victor Gorshelev, and Anna Serdyuchenko
Atmos. Meas. Tech., 9, 4459–4470, https://doi.org/10.5194/amt-9-4459-2016, https://doi.org/10.5194/amt-9-4459-2016, 2016
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Ozone absorption cross sections measured in the laboratory using spectroscopic means can be a major source of uncertainty in atmospheric ozone retrievals. In this paper we assess the overall uncertainty in three published UV ozone cross-section datasets that are most popular in the remote sensing community. The overall uncertainties were estimated using Monte Carlo simulations. They are important for traceability of atmospheric ozone measuring instruments to common metrological standards.
Jeremy J. Harrison
Atmos. Meas. Tech., 9, 2593–2601, https://doi.org/10.5194/amt-9-2593-2016, https://doi.org/10.5194/amt-9-2593-2016, 2016
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Using infrared sounders on satellite platforms to monitor concentrations of atmospheric HCFC-22, a stratospheric-ozone-depleting molecule which is still increasing in the atmosphere, crucially requires accurate laboratory spectroscopic data. This manuscript describes a new high-resolution infrared absorption cross-section data set for remote-sensing purposes; this improves upon the one currently available in the HITRAN and GEISA databases.
V. Gorshelev, A. Serdyuchenko, M. Weber, W. Chehade, and J. P. Burrows
Atmos. Meas. Tech., 7, 609–624, https://doi.org/10.5194/amt-7-609-2014, https://doi.org/10.5194/amt-7-609-2014, 2014
A. Serdyuchenko, V. Gorshelev, M. Weber, W. Chehade, and J. P. Burrows
Atmos. Meas. Tech., 7, 625–636, https://doi.org/10.5194/amt-7-625-2014, https://doi.org/10.5194/amt-7-625-2014, 2014
L. Huang, A. Chivulescu, D. Ernst, W. Zhang, A.-L. Norman, and Y.-S. Lee
Atmos. Meas. Tech., 6, 1685–1705, https://doi.org/10.5194/amt-6-1685-2013, https://doi.org/10.5194/amt-6-1685-2013, 2013
J. Schmitt, B. Seth, M. Bock, C. van der Veen, L. Möller, C. J. Sapart, M. Prokopiou, T. Sowers, T. Röckmann, and H. Fischer
Atmos. Meas. Tech., 6, 1425–1445, https://doi.org/10.5194/amt-6-1425-2013, https://doi.org/10.5194/amt-6-1425-2013, 2013
P. Barmet, J. Dommen, P. F. DeCarlo, T. Tritscher, A. P. Praplan, S. M. Platt, A. S. H. Prévôt, N. M. Donahue, and U. Baltensperger
Atmos. Meas. Tech., 5, 647–656, https://doi.org/10.5194/amt-5-647-2012, https://doi.org/10.5194/amt-5-647-2012, 2012
V. Gkinis, T. J. Popp, T. Blunier, M. Bigler, S. Schüpbach, E. Kettner, and S. J. Johnsen
Atmos. Meas. Tech., 4, 2531–2542, https://doi.org/10.5194/amt-4-2531-2011, https://doi.org/10.5194/amt-4-2531-2011, 2011
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Short summary
Diesel fuel, lubricating oil and diesel exhaust emissions all contain a very complex mixture of chemical compounds with diverse molecular structures. The GC × GC-ToF-MS analytical method is a very powerful way of separating and identifying those compounds. This paper describes the allocation of compounds into groups with similar molecular structures and chemical properties, which facilitates the intercomparison of very complex mixtures such as are found in diesel fuel, oil and emissions.
Diesel fuel, lubricating oil and diesel exhaust emissions all contain a very complex mixture of...
