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Tsiodra I, Grivas G, Bougiatioti A, Tavernaraki K, Parinos C, Paraskevopoulou D, Papoutsidaki K, Tsagkaraki M, Kozonaki FA, Oikonomou K, Nenes A, Mihalopoulos N. Source apportionment of particle-bound polycyclic aromatic hydrocarbons (PAHs), oxygenated PAHs (OPAHs), and their associated long-term health risks in a major European city. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 951:175416. [PMID: 39142411 DOI: 10.1016/j.scitotenv.2024.175416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2024] [Revised: 08/07/2024] [Accepted: 08/07/2024] [Indexed: 08/16/2024]
Abstract
Many studies have drawn attention to the associations of oxygenated polycyclic aromatic hydrocarbons (OPAHs) with harmful health effects, advocating for their systematic monitoring alongside simple PAHs to better understand the aerosol carcinogenic potential in urban areas. To address this need, this study conducted an extensive PM2.5 sampling campaign in Athens, Greece, at the Thissio Supersite of the National Observatory of Athens, from December 2018 to July 2021, aiming to characterize the levels and variability of polycyclic aromatic compounds (PACs), perform source apportionment, and assess health risk. Cumulative OPAH concentrations (Σ-OPAHs) were in the same range as Σ-PAHs (annual average 4.2 and 5.6 ng m-3, respectively). They exhibited a common seasonal profile with enhanced levels during the heating seasons, primarily attributed to residential wood burning (RWB). The episodic impact of biomass burning was also observed during a peri-urban wildfire event in May 2021, when PAH and OPAH concentrations increased by a factor of three compared to the monthly average. The study period also included the winter 2020-2021 COVID-19 lockdown, during which PAH and OPAH levels decreased by >50 % compared to past winters. Positive matrix factorization (PMF) source apportionment, based on a carbonaceous aerosol speciation dataset, identified PAC sources related to RWB, local traffic (gasoline vehicles) and urban traffic (including diesel emissions), as well as an impact of regional organic aerosol. Despite its seasonal character, RWB accounted for nearly half of Σ-PAH and over two-thirds of Σ-OPAH concentrations. Using the estimated source profiles and contributions, the source-specific carcinogenic potency of the studied PACs was calculated, revealing that almost 50 % was related to RWB. These findings underscore the urgent need to regulate domestic biomass burning at a European level, which can provide concrete benefits for improving urban air quality, towards the new stricter EU standards, and reducing long-term health effects.
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Affiliation(s)
- Irini Tsiodra
- Institute for Environmental Research and Sustainable Development, National Observatory of Athens, Lofos Koufou, P. Penteli, Athens, 15236, Greece; Environmental Chemical Processes Laboratory, Department of Chemistry, University of Crete, Heraklion, 71003, Greece; Center for the Study of Air Quality and Climate Change, Institute of Chemical Engineering Sciences, Foundation for Research and Technology Hellas, Patras, GR-26504, Greece
| | - Georgios Grivas
- Institute for Environmental Research and Sustainable Development, National Observatory of Athens, Lofos Koufou, P. Penteli, Athens, 15236, Greece
| | - Aikaterini Bougiatioti
- Institute for Environmental Research and Sustainable Development, National Observatory of Athens, Lofos Koufou, P. Penteli, Athens, 15236, Greece
| | - Kalliopi Tavernaraki
- Institute for Environmental Research and Sustainable Development, National Observatory of Athens, Lofos Koufou, P. Penteli, Athens, 15236, Greece; Environmental Chemical Processes Laboratory, Department of Chemistry, University of Crete, Heraklion, 71003, Greece
| | - Constantine Parinos
- Hellenic Centre for Marine Research, Institute of Oceanography, 190 13 Anavyssos, Attiki, Greece
| | - Despina Paraskevopoulou
- Institute for Environmental Research and Sustainable Development, National Observatory of Athens, Lofos Koufou, P. Penteli, Athens, 15236, Greece; Environmental Chemical Processes Laboratory, Department of Chemistry, University of Crete, Heraklion, 71003, Greece
| | - Kyriaki Papoutsidaki
- Environmental Chemical Processes Laboratory, Department of Chemistry, University of Crete, Heraklion, 71003, Greece
| | - Maria Tsagkaraki
- Environmental Chemical Processes Laboratory, Department of Chemistry, University of Crete, Heraklion, 71003, Greece
| | - Faidra-Aikaterini Kozonaki
- Institute for Environmental Research and Sustainable Development, National Observatory of Athens, Lofos Koufou, P. Penteli, Athens, 15236, Greece; Environmental Chemical Processes Laboratory, Department of Chemistry, University of Crete, Heraklion, 71003, Greece
| | | | - Athanasios Nenes
- Center for the Study of Air Quality and Climate Change, Institute of Chemical Engineering Sciences, Foundation for Research and Technology Hellas, Patras, GR-26504, Greece; Laboratory of Atmospheric Processes and their Impacts, School of Architecture, Civil & Environmental Engineering, Ecole Polytechnique Fédérale de Lausanne, Lausanne, CH-1015, Switzerland.
| | - Nikolaos Mihalopoulos
- Institute for Environmental Research and Sustainable Development, National Observatory of Athens, Lofos Koufou, P. Penteli, Athens, 15236, Greece; Environmental Chemical Processes Laboratory, Department of Chemistry, University of Crete, Heraklion, 71003, Greece.
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Yang C, Dong H, Chen Y, Xu L, Chen G, Fan X, Wang Y, Tham YJ, Lin Z, Li M, Hong Y, Chen J. New Insights on the Formation of Nucleation Mode Particles in a Coastal City Based on a Machine Learning Approach. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:1187-1198. [PMID: 38117945 DOI: 10.1021/acs.est.3c07042] [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: 12/22/2023]
Abstract
Atmospheric particles have profound implications for the global climate and human health. Among them, ultrafine particles dominate in terms of the number concentration and exhibit enhanced toxic effects as a result of their large total surface area. Therefore, understanding the driving factors behind ultrafine particle behavior is crucial. Machine learning (ML) provides a promising approach for handling complex relationships. In this study, three ML models were constructed on the basis of field observations to simulate the particle number concentration of nucleation mode (PNCN). All three models exhibited robust PNCN reproduction (R2 > 0.80), with the random forest (RF) model excelling on the test data (R2 = 0.89). Multiple methods of feature importance analysis revealed that ultraviolet (UV), H2SO4, low-volatility oxygenated organic molecules (LOOMs), temperature, and O3 were the primary factors influencing PNCN. Bivariate partial dependency plots (PDPs) indicated that during nighttime and overcast conditions, the presence of H2SO4 and LOOMs may play a crucial role in influencing PNCN. Additionally, integrating additional detailed information related to emissions or meteorology would further enhance the model performance. This pilot study shows that ML can be a novel approach for simulating atmospheric pollutants and contributes to a better understanding of the formation and growth mechanisms of nucleation mode particles.
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Affiliation(s)
- Chen Yang
- Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, Fujian 361021, People's Republic of China
- Fujian Key Laboratory of Atmospheric Ozone Pollution Prevention, Chinese Academy of Sciences, Xiamen, Fujian 361021, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Hesong Dong
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
- Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, Fujian 361021, People's Republic of China
| | - Yuping Chen
- Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, Fujian 361021, People's Republic of China
- Fujian Key Laboratory of Atmospheric Ozone Pollution Prevention, Chinese Academy of Sciences, Xiamen, Fujian 361021, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Lingling Xu
- Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, Fujian 361021, People's Republic of China
- Fujian Key Laboratory of Atmospheric Ozone Pollution Prevention, Chinese Academy of Sciences, Xiamen, Fujian 361021, People's Republic of China
| | - Gaojie Chen
- Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, Fujian 361021, People's Republic of China
- Fujian Key Laboratory of Atmospheric Ozone Pollution Prevention, Chinese Academy of Sciences, Xiamen, Fujian 361021, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Xiaolong Fan
- Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, Fujian 361021, People's Republic of China
- Fujian Key Laboratory of Atmospheric Ozone Pollution Prevention, Chinese Academy of Sciences, Xiamen, Fujian 361021, People's Republic of China
| | - Yonghong Wang
- State Key Joint Laboratory of Environment Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, People's Republic of China
| | - Yee Jun Tham
- School of Marine Sciences, Sun Yat-sen University, Zhuhai, Guangdong 519082, People's Republic of China
| | - Ziyi Lin
- Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, Fujian 361021, People's Republic of China
- Fujian Key Laboratory of Atmospheric Ozone Pollution Prevention, Chinese Academy of Sciences, Xiamen, Fujian 361021, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Mengren Li
- Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, Fujian 361021, People's Republic of China
- Fujian Key Laboratory of Atmospheric Ozone Pollution Prevention, Chinese Academy of Sciences, Xiamen, Fujian 361021, People's Republic of China
| | - Youwei Hong
- Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, Fujian 361021, People's Republic of China
- Fujian Key Laboratory of Atmospheric Ozone Pollution Prevention, Chinese Academy of Sciences, Xiamen, Fujian 361021, People's Republic of China
| | - Jinsheng Chen
- Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, Fujian 361021, People's Republic of China
- Fujian Key Laboratory of Atmospheric Ozone Pollution Prevention, Chinese Academy of Sciences, Xiamen, Fujian 361021, People's Republic of China
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Srivastava D, Li W, Tong S, Shi Z, Harrison RM. Characterization of products formed from the oxidation of toluene and m-xylene with varying NO x and OH exposure. CHEMOSPHERE 2023; 334:139002. [PMID: 37220797 DOI: 10.1016/j.chemosphere.2023.139002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Revised: 05/16/2023] [Accepted: 05/20/2023] [Indexed: 05/25/2023]
Abstract
Aromatic volatile organic compounds (VOCs) are an important precursor of secondary organic aerosol (SOA) in the urban environment. SOA formed from the oxidation of anthropogenic VOCs can be substantially more abundant than biogenic SOA and has been shown to account for a significant fraction of fine particulate matter in urban areas. A potential aerosol mass (PAM) chamber was used to investigate the oxidised products from the photo-oxidation of m-xylene and toluene. The experiments were carried out with OH radical as oxidant in both high- and low-NOx conditions and the resultant aerosol samples were collected using quartz filters and analysed by GC × GC-TOFMS. Results show the oxidation products derived from both precursors included ring-retaining and -opening compounds (unsaturated aldehydes, unsaturated ketones and organic acids) with a high number of ring-opening compounds observed from toluene oxidation. Glyoxal and methyl glyoxal were the major ring-cleavage products from both oxidation systems, indicating that a bicyclic route plays an important role in their formation. SOA yields were higher for both precursors under high-NOx (toluene: 0.111; m-xylene: 0.124) than at low-NOx (toluene: 0.089; m-xylene: 0.052), likely linked to higher OH concentrations during low-NOx experiments which may lead to higher degree of fragmentation. DHOPA (2,3-dihydroxy-4-oxo-pentanoic acid), a known tracer of toluene oxidation, was observed in both oxidation systems. The mass fraction of DHOPA in SOA from toluene oxidation was about double the value reported previously, but it should not be regarded as a tracer solely for oxidation of toluene as m-xylene oxidation gave a similar relative yield.
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Affiliation(s)
- Deepchandra Srivastava
- School of Geography, Earth & Environmental Sciences, University of Birmingham, Birmingham, B15 2TT, United Kingdom
| | - Weiran Li
- Institute of Chemistry, Chinese Academy of Sciences, Beijing, China
| | - Shengrui Tong
- Institute of Chemistry, Chinese Academy of Sciences, Beijing, China
| | - Zongbo Shi
- School of Geography, Earth & Environmental Sciences, University of Birmingham, Birmingham, B15 2TT, United Kingdom
| | - Roy M Harrison
- School of Geography, Earth & Environmental Sciences, University of Birmingham, Birmingham, B15 2TT, United Kingdom.
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Jo J, Lee JY, Jang KS, Matsuki A, Natsagdorj A, Ahn YG. Development of Quantitative Chemical Ionization Using Gas Chromatography/Mass Spectrometry and Gas Chromatography/Tandem Mass Spectrometry for Ambient Nitro- and Oxy-PAHs and Its Applications. MOLECULES (BASEL, SWITZERLAND) 2023; 28:molecules28020775. [PMID: 36677835 PMCID: PMC9867094 DOI: 10.3390/molecules28020775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 12/27/2022] [Accepted: 01/10/2023] [Indexed: 01/14/2023]
Abstract
The concentration of polycyclic aromatic hydrocarbons (PAHs) in the atmosphere has been continually monitored since their toxicity became known, whereas nitro-PAHs (NPAHs) and oxy-PAHs (OPAHs), which are derivatives of PAHs by primary emissions or secondary formations in the atmosphere, have gained attention more recently. In this study, a method for the quantification of 18 NPAH and OPAH congeners in the atmosphere based on combined applications of gas chromatography coupled with chemical ionization mass spectrometry is presented. A high sensitivity and selectivity for the quantification of individual NPAH and OPAH congeners without sample preparations from the extract of aerosol samples were achieved using negative chemical ionization (NCI/MS) or positive chemical ionization tandem mass spectrometry (PCI-MS/MS). This analytical method was validated and applied to the aerosol samples collected from three regions in Northeast Asia-namely, Noto, Seoul, and Ulaanbaatar-from 15 December 2020 to 17 January 2021. The ranges of the method detection limits (MDLs) of the NPAHs and OPAHs for the analytical method were from 0.272 to 3.494 pg/m3 and 0.977 to 13.345 pg/m3, respectively. Among the three regions, Ulaanbaatar had the highest total mean concentration of NPAHs and OPAHs at 313.803 ± 176.349 ng/m3. The contribution of individual NPAHs and OPAHs in the total concentration differed according to the regional emission characteristics. As a result of the aerosol samples when the developed method was applied, the concentrations of NPAHs and OPAHs were quantified in the ranges of 0.016~3.659 ng/m3 and 0.002~201.704 ng/m3, respectively. It was concluded that the method could be utilized for the quantification of NPAHs and OPAHs over a wide concentration range.
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Affiliation(s)
- Jungmin Jo
- Department of Environmental Science and Engineering, Ewha Womans University, Seoul 03760, Republic of Korea
| | - Ji-Yi Lee
- Department of Environmental Science and Engineering, Ewha Womans University, Seoul 03760, Republic of Korea
| | - Kyoung-Soon Jang
- Bio-Chemical Analysis Team, Korea Basic Science Institute, Cheongju 28119, Republic of Korea
| | - Atsushi Matsuki
- Institute of Nature and Environmental Technology, Kanazawa University, Kanazawa 920-1192, Japan
| | - Amgalan Natsagdorj
- Department of Chemistry, National University of Mongolia, Ulaanbaatar 14200, Mongolia
| | - Yun-Gyong Ahn
- Western Seoul Center, Korea Basic Science Institute, Seoul 03759, Republic of Korea
- Correspondence:
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Lanzafame GM, Bessagnet B, Srivastava D, Jaffrezo JL, Favez O, Albinet A, Couvidat F. Modelling aerosol molecular markers in a 3D air quality model: Focus on anthropogenic organic markers. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 835:155360. [PMID: 35460764 DOI: 10.1016/j.scitotenv.2022.155360] [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: 11/10/2021] [Revised: 01/18/2022] [Accepted: 04/14/2022] [Indexed: 06/14/2023]
Abstract
We developed and implemented in the 3D air quality model CHIMERE the formation of several key anthropogenic aerosol markers including one primary anthropogenic marker (levoglucosan) and 4 secondary anthropogenic markers (nitrophenols, nitroguaiacols, methylnitrocatechols and phthalic acid). Modelled concentrations have been compared to measurements performed at 12 locations in France for levoglucosan in winter 2014-15, and at a sub-urban station in the Paris region over the whole year 2015 for secondary molecular markers. While a good estimation of levoglucosan concentrations by the model has been obtained for a few sites, a strong underestimation was simulated for most of the stations especially for western locations due to a probable underestimation of residential wood burning emissions. The simulated ratio between wood burning organic matter and particulate phase levoglucosan is constant only at high OM values (>10 μg m-3) indicating that using marker contribution ratio may be valid only under certain conditions. Concentrations of secondary markers were well reproduced by the model for nitrophenols and nitroguaiacols but were underestimated for methylnitrocatechols and phthalic acid highlighting missing formation pathways and/or precursor emissions. By comparing modelled to measured Gas/Particle Partitioning (GPP) of markers, the simulated partitioning of Semi-Volatile Organic Compounds (SVOCs) was evaluated. Except for nitroguaiacols and nitrophenols when ideality was assumed, the GPP for all the markers was underestimated and mainly driven by the hydrophilic partitioning. SVOCs GPP, and more generally of all SVOC contributing to the formation of SOA, could therefore be significantly underestimated by air quality models, especially when only the partitioning on the organic phase is considered. Our results show that marker modelling can give insights on some processes (such as precursor emissions or missing mechanisms) involved in SOA formation and could prove especially useful to evaluate the GPP in 3D air quality models.
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Affiliation(s)
- Grazia Maria Lanzafame
- INERIS, Parc Technologique Alata, BP 2, 60550 Verneuil-en-Halatte, France; Sorbonne Universités, UPMC, 75252 PARIS cedex 05, France
| | - Bertrand Bessagnet
- INERIS, Parc Technologique Alata, BP 2, 60550 Verneuil-en-Halatte, France; Sorbonne Universités, UPMC, 75252 PARIS cedex 05, France
| | | | - Jean Luc Jaffrezo
- University of Grenoble Alpes, CNRS, IRD, INP-G, IGE (UMR 5001), F-38000 Grenoble, France
| | - Olivier Favez
- INERIS, Parc Technologique Alata, BP 2, 60550 Verneuil-en-Halatte, France
| | - Alexandre Albinet
- INERIS, Parc Technologique Alata, BP 2, 60550 Verneuil-en-Halatte, France
| | - Florian Couvidat
- INERIS, Parc Technologique Alata, BP 2, 60550 Verneuil-en-Halatte, France.
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Galvão ES, de Cassia Feroni R, D'Azeredo Orlando MT. A review of the main strategies used in the interpretation of similar chemical profiles yielded by receptor models in the source apportionment of particulate matter. CHEMOSPHERE 2021; 269:128746. [PMID: 33153846 DOI: 10.1016/j.chemosphere.2020.128746] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Revised: 10/19/2020] [Accepted: 10/22/2020] [Indexed: 06/11/2023]
Abstract
Receptor models have been widely used for the source apportionment of airborne particulate matter. However, in the last 10 years, the use of factor analysis-based models, such as PMF and UNMIX, has increased significantly. The results yielded by these models must be interpreted by users who must know all variables influencing the modeling, and without this knowledge, the probability of incorrect interpretation of the source profiles may increase, especially when two or more sources have similar chemical profiles. Concerning the quality of data, this work shows that a broad characterization of PM composition, including inorganic, organic, and mineralogical species can improve this process, avoiding misinterpretation and the attribution of mixed or unidentified sources. This work aims to provide readers with some answers for a question often risen during source apportionment studies: Which source markers should be used for better separation and interpretation of source profiles? This review shows there is no right answer for this because different strategies can be used for this purpose. Therefore, this review aims to compile and highlight qualitatively the key strategies already used by several experienced receptor models users, combining the use of inorganic, organic, and mineralogical markers of PM for better separation and interpretation of the profiles yielded by receptor models. Also, this work presents a compilation in tables of the main chemical species reported in the literature as markers for interpreting the source profiles.
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Affiliation(s)
- Elson Silva Galvão
- Universidade Federal Do Espírito Santo, Departamento de Física, Vitória, Brazil.
| | - Rita de Cassia Feroni
- Universidade Federal Do Espírito Santo, Departamento de Engenharias e Tecnologia, São Mateus, ES, Brazil
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Lanzafame GM, Srivastava D, Favez O, Bandowe BAM, Shahpoury P, Lammel G, Bonnaire N, Alleman LY, Couvidat F, Bessagnet B, Albinet A. One-year measurements of secondary organic aerosol (SOA) markers in the Paris region (France): Concentrations, gas/particle partitioning and SOA source apportionment. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 757:143921. [PMID: 33261871 DOI: 10.1016/j.scitotenv.2020.143921] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Revised: 10/26/2020] [Accepted: 10/26/2020] [Indexed: 06/12/2023]
Abstract
Twenty-five biogenic and anthropogenic secondary organic aerosol (SOA) markers have been measured over a one-year period in both gaseous and PM10 phases in the Paris region (France). Seasonal and chemical patterns were similar to those previously observed in Europe, but significantly different from the ones observed in America and Asia due to dissimilarities in source precursor emissions. Nitroaromatic compounds showed higher concentrations in winter due to larger emissions of their precursors originating from biomass combustion used for residential heating purposes. Among the biogenic markers, only isoprene SOA marker concentrations increased in summer while pinene SOA markers did not display any clear seasonal trend. The measured SOA markers, usually considered as semi-volatiles, were mainly associated to the particulate phase, except for the nitrophenols and nitroguaiacols, and their gas/particle partitioning (GPP) showed a low temperature and OM concentrations dependency. An evaluation of their GPP with thermodynamic model predictions suggested that apart from equilibrium partitioning between organic phase and air, the GPP of the markers is affected by processes suppressing volatility from a mixed organic and inorganic phase, such as enhanced dissolution in aerosol aqueous phase and non-equilibrium conditions. SOA marker concentrations were used to apportion secondary organic carbon (SOC) sources applying both, an improved version of the SOA-tracer method and positive matrix factorization (PMF) Total SOC estimations agreed very well between both models, except in summer and during a highly processed Springtime PM pollution event in which systematic underestimation by the SOA tracer method was evidenced. As a first approach, the SOA-tracer method could provide a reliable estimation of the average SOC concentrations, but it is limited due to the lack of markers for aged SOA together with missing SOA/SOC conversion fractions for several sources.
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Affiliation(s)
- G M Lanzafame
- Ineris, Parc Technologique Alata, Verneuil-en-Halatte, France; Sorbonne Universités, UPMC, PARIS, France
| | - D Srivastava
- Ineris, Parc Technologique Alata, Verneuil-en-Halatte, France
| | - O Favez
- Ineris, Parc Technologique Alata, Verneuil-en-Halatte, France
| | - B A M Bandowe
- Max Planck Institute for Chemistry, Multiphase Chemistry Department, Mainz, Germany
| | - P Shahpoury
- Environment and Climate Change Canada, Air Quality Processes Research Section, Toronto, Canada
| | - G Lammel
- Max Planck Institute for Chemistry, Multiphase Chemistry Department, Mainz, Germany; Masaryk University, RECETOX, Brno, Czech Republic
| | - N Bonnaire
- LSCE - UMR8212, CNRS-CEA-UVSQ, Gif-sur-Yvette, France
| | - L Y Alleman
- IMT Lille Douai, SAGE, Université de Lille, 59000 Lille, France
| | - F Couvidat
- Ineris, Parc Technologique Alata, Verneuil-en-Halatte, France
| | - B Bessagnet
- Ineris, Parc Technologique Alata, Verneuil-en-Halatte, France
| | - A Albinet
- Ineris, Parc Technologique Alata, Verneuil-en-Halatte, France.
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8
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Srivastava D, Daellenbach KR, Zhang Y, Bonnaire N, Chazeau B, Perraudin E, Gros V, Lucarelli F, Villenave E, Prévôt ASH, El Haddad I, Favez O, Albinet A. Comparison of five methodologies to apportion organic aerosol sources during a PM pollution event. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 757:143168. [PMID: 33143914 DOI: 10.1016/j.scitotenv.2020.143168] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2020] [Revised: 10/12/2020] [Accepted: 10/14/2020] [Indexed: 06/11/2023]
Abstract
This study presents a comparison of five methodologies to apportion primary (POA) and secondary organic aerosol (SOA) sources from measurements performed in the Paris region (France) during a highly processed PM pollution event. POA fractions, estimated from EC-tracer method and positive matrix factorization (PMF) analyses, conducted on measurements from PM10 filters, aerosol chemical speciation monitor (ACSM) and offline aerosol mass spectrometry (AMS), were all comparable (2.2-3.7 μg m-3 as primary organic carbon (POC)). Associated relative uncertainties (measurement + model) on POC estimations ranged from 8 to 50%. The best apportionment of primary traffic OA was achieved using key markers (EC and 1-nitropyrene) in the chemical speciation-based PMF showing more pronounced rush-hour peaks and greater correlation with NOx than other traffic related POC factors. All biomass burning-related factors were in good agreement, with a typical diel profile and a night-time increase linked to residential heating. If PMF applied to ACSM data showed good agreement with other PMF outputs corrected from dust-related factors (coarse PM), discrepancies were observed between individual POA factors (traffic, biomass burning) and directly comparable SOA factors and highly oxidized OA. Similar secondary organic carbon (SOC) concentrations (3.3 ± 0.1 μg m-3) were obtained from all approaches, except the SOA-tracer method (1.8 μg m-3). Associated uncertainties ranged from 14 to 52% with larger uncertainties obtained for PMF-chemical data, EC- and SOA-tracer methods. This latter significantly underestimated total SOA loadings, even including biomass burning SOA, due to missing SOA classes and precursors. None of the approaches was able to identify the formation mechanisms and/or precursors responsible for the highly oxidized SOA fraction associated with nitrate- and/or sulfate-rich aerosols (35% of OA). We recommend the use of a combination of different methodologies to apportion the POC/SOC concentrations/contributions to get the highest level of confidence in the estimates obtained.
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Affiliation(s)
- D Srivastava
- Ineris, Parc Technologique Alata, BP 2, 60550 Verneuil-en-Halatte, France; CNRS, EPOC, UMR 5805 CNRS, 33405 Talence, France; Université de Bordeaux, EPOC, UMR 5805 CNRS, 33405 Talence, France.
| | | | - Y Zhang
- Ineris, Parc Technologique Alata, BP 2, 60550 Verneuil-en-Halatte, France
| | - N Bonnaire
- LSCE - UMR8212, CNRS-CEA-UVSQ, 91191 Gif-sur-Yvette, France
| | - B Chazeau
- Paul Scherrer Institute (PSI), 5232 Villigen, Switzerland
| | - E Perraudin
- CNRS, EPOC, UMR 5805 CNRS, 33405 Talence, France; Université de Bordeaux, EPOC, UMR 5805 CNRS, 33405 Talence, France
| | - V Gros
- LSCE - UMR8212, CNRS-CEA-UVSQ, 91191 Gif-sur-Yvette, France
| | - F Lucarelli
- University of Florence, Dipartimento di Fisica Astronomia, 50019, Sesto Fiorentino, Italy
| | - E Villenave
- CNRS, EPOC, UMR 5805 CNRS, 33405 Talence, France; Université de Bordeaux, EPOC, UMR 5805 CNRS, 33405 Talence, France
| | - A S H Prévôt
- Paul Scherrer Institute (PSI), 5232 Villigen, Switzerland
| | - I El Haddad
- Paul Scherrer Institute (PSI), 5232 Villigen, Switzerland
| | - O Favez
- Ineris, Parc Technologique Alata, BP 2, 60550 Verneuil-en-Halatte, France
| | - A Albinet
- Ineris, Parc Technologique Alata, BP 2, 60550 Verneuil-en-Halatte, France.
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9
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Overview of the French Operational Network for In Situ Observation of PM Chemical Composition and Sources in Urban Environments (CARA Program). ATMOSPHERE 2021. [DOI: 10.3390/atmos12020207] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
The CARA program has been running since 2008 by the French reference laboratory for air quality monitoring (LCSQA) and the regional monitoring networks, to gain better knowledge—at a national level—on particulate matter (PM) chemistry and its diverse origins in urban environments. It results in strong collaborations with international-level academic partners for state-of-the-art, straightforward, and robust results and methodologies within operational air quality stakeholders (and subsequently, decision makers). Here, we illustrate some of the main outputs obtained over the last decade, thanks to this program, regarding methodological aspects (both in terms of measurement techniques and data treatment procedures) as well as acquired knowledge on the predominant PM sources. Offline and online methods are used following well-suited quality assurance and quality control procedures, notably including inter-laboratory comparison exercises. Source apportionment studies are conducted using various receptor modeling approaches. Overall, the results presented herewith underline the major influences of residential wood burning (during the cold period) and road transport emissions (exhaust and non-exhaust ones, all throughout the year), as well as substantial contributions of mineral dust and primary biogenic particles (mostly during the warm period). Long-range transport phenomena, e.g., advection of secondary inorganic aerosols from the European continental sector and of Saharan dust into the French West Indies, are also discussed in this paper. Finally, we briefly address the use of stable isotope measurements (δ15N) and of various organic molecular markers for a better understanding of the origins of ammonium and of the different organic aerosol fractions, respectively.
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10
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Temporal Variability of Equivalent Black Carbon Components in Atmospheric Air in Southern Poland. ATMOSPHERE 2021. [DOI: 10.3390/atmos12010119] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
This study assesses the air quality in Zabrze (southern Poland) based on the ambient concentrations of equivalent black carbon (eBC). eBC measurement campaigns were carried out from April 2019 to March 2020 using a modern AE33 Aethalometer, accompanied by parallel measurements of gaseous pollutants, PM10 and meteorological parameters. The use of the two-component AE33 model allows for the determination of the eBC from fossil fuel combustion (eBCff) and biomass burning (eBCbb). The obtained results showed a clear seasonal variability of eBC concentrations, with higher average levels in the heating season (4.70 µg·m−3) compared to the non-heating one (1.79 µg·m−3). In both seasons, the eBCff component had a dominant share in total eBC, which indicates significant emissions from the combustion of fossil fuels for heating purposes and from local traffic sources. The obtained results showed high correlation coefficients with gaseous and particulate pollutants, with the strongest relationship for eBC and carbon monoxide (CO). During the non-heating and heating period, both anticyclone and cyclone systems played an important role in shaping eBC, eBCff and eBCbb concentrations. High concentrations of all components occurred with a significant decrease in air temperature and solar radiation in winter.
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11
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Daellenbach KR, Uzu G, Jiang J, Cassagnes LE, Leni Z, Vlachou A, Stefenelli G, Canonaco F, Weber S, Segers A, Kuenen JJP, Schaap M, Favez O, Albinet A, Aksoyoglu S, Dommen J, Baltensperger U, Geiser M, El Haddad I, Jaffrezo JL, Prévôt ASH. Sources of particulate-matter air pollution and its oxidative potential in Europe. Nature 2020; 587:414-419. [PMID: 33208962 DOI: 10.1038/s41586-020-2902-8] [Citation(s) in RCA: 232] [Impact Index Per Article: 58.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2019] [Accepted: 10/05/2020] [Indexed: 11/09/2022]
Abstract
Particulate matter is a component of ambient air pollution that has been linked to millions of annual premature deaths globally1-3. Assessments of the chronic and acute effects of particulate matter on human health tend to be based on mass concentration, with particle size and composition also thought to play a part4. Oxidative potential has been suggested to be one of the many possible drivers of the acute health effects of particulate matter, but the link remains uncertain5-8. Studies investigating the particulate-matter components that manifest an oxidative activity have yielded conflicting results7. In consequence, there is still much to be learned about the sources of particulate matter that may control the oxidative potential concentration7. Here we use field observations and air-quality modelling to quantify the major primary and secondary sources of particulate matter and of oxidative potential in Europe. We find that secondary inorganic components, crustal material and secondary biogenic organic aerosols control the mass concentration of particulate matter. By contrast, oxidative potential concentration is associated mostly with anthropogenic sources, in particular with fine-mode secondary organic aerosols largely from residential biomass burning and coarse-mode metals from vehicular non-exhaust emissions. Our results suggest that mitigation strategies aimed at reducing the mass concentrations of particulate matter alone may not reduce the oxidative potential concentration. If the oxidative potential can be linked to major health impacts, it may be more effective to control specific sources of particulate matter rather than overall particulate mass.
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Affiliation(s)
- Kaspar R Daellenbach
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, Villigen, Switzerland.,Aix Marseille University, Centre National de la Recherche Scientifique (CNRS), Laboratoire Chimie Environnement (LCE), Marseille, France.,Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, Helsinki, Finland
| | - Gaëlle Uzu
- Université Grenoble Alpes (UGA), Centre National de la Recherche Scientifique (CNRS), Institut de Recherche pour le Développement (IRD), Institute of Engineering and Management Univ. Grenoble Alpes (Grenoble INP), Institut des Géosciences de l'Environnement (IGE), Grenoble, France
| | - Jianhui Jiang
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, Villigen, Switzerland.
| | | | - Zaira Leni
- Institute of Anatomy, University of Bern, Bern, Switzerland
| | - Athanasia Vlachou
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, Villigen, Switzerland
| | - Giulia Stefenelli
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, Villigen, Switzerland
| | - Francesco Canonaco
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, Villigen, Switzerland.,Datalystica, Villigen, Switzerland
| | - Samuël Weber
- Université Grenoble Alpes (UGA), Centre National de la Recherche Scientifique (CNRS), Institut de Recherche pour le Développement (IRD), Institute of Engineering and Management Univ. Grenoble Alpes (Grenoble INP), Institut des Géosciences de l'Environnement (IGE), Grenoble, France
| | - Arjo Segers
- Department of Climate, Air and Sustainability, The Netherlands Organisation for Applied Scientific Research (TNO), Utrecht, The Netherlands
| | - Jeroen J P Kuenen
- Department of Climate, Air and Sustainability, The Netherlands Organisation for Applied Scientific Research (TNO), Utrecht, The Netherlands
| | - Martijn Schaap
- Department of Climate, Air and Sustainability, The Netherlands Organisation for Applied Scientific Research (TNO), Utrecht, The Netherlands.,Institut für Meteorologie, Free University Berlin, Berlin, Germany
| | - Olivier Favez
- Institut National de l'Environnement Industriel et des Risques (Ineris), Verneuil en Halatte, France
| | - Alexandre Albinet
- Institut National de l'Environnement Industriel et des Risques (Ineris), Verneuil en Halatte, France
| | - Sebnem Aksoyoglu
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, Villigen, Switzerland
| | - Josef Dommen
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, Villigen, Switzerland
| | - Urs Baltensperger
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, Villigen, Switzerland
| | | | - Imad El Haddad
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, Villigen, Switzerland.
| | - Jean-Luc Jaffrezo
- Université Grenoble Alpes (UGA), Centre National de la Recherche Scientifique (CNRS), Institut de Recherche pour le Développement (IRD), Institute of Engineering and Management Univ. Grenoble Alpes (Grenoble INP), Institut des Géosciences de l'Environnement (IGE), Grenoble, France
| | - André S H Prévôt
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, Villigen, Switzerland.
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12
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Zhang Y, Albinet A, Petit JE, Jacob V, Chevrier F, Gille G, Pontet S, Chrétien E, Dominik-Sègue M, Levigoureux G, Močnik G, Gros V, Jaffrezo JL, Favez O. Substantial brown carbon emissions from wintertime residential wood burning over France. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 743:140752. [PMID: 32663683 DOI: 10.1016/j.scitotenv.2020.140752] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Revised: 06/29/2020] [Accepted: 07/03/2020] [Indexed: 06/11/2023]
Abstract
Brown carbon (BrC) is known to absorb light at subvisible wavelengths but its optical properties and sources are still poorly documented, leading to large uncertainties in climate studies. Here, we show its major wintertime contribution to total aerosol absorption at 370 nm (18-42%) at 9 different French sites. Moreover, an excellent correlation with levoglucosan (r2 = 0.9 and slope = 22.2 at 370 nm), suggesting important contribution of wood burning emissions to ambient BrC aerosols in France. At all sites, BrC peaks were mainly observed during late evening, linking to local intense residential wood burning during this time period. Furthermore, the geographic origin analysis also highlighted the high potential contribution of local and/or small-regional emissions to BrC. Focusing on the Paris region, twice higher BrC mass absorption efficiency value was obtained for less oxidized biomass burning organic aerosols (BBOA) compared to more oxidized BBOA (e.g., about 4.9 ± 0.2 vs. 2.0 ± 0.1 m2 g-1, respectively, at 370 nm). Finally, the BBOA direct radiative effect was found to be 40% higher when these two BBOA fractions are treated as light-absorbing species, compared to the non-absorbing BBOA scenario.
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Affiliation(s)
- Yunjiang Zhang
- Institut National de l'Environnement Industriel et des Risques, 60550 Verneuil-en-Halatte, France; Laboratoire des Sciences du Climat et de l'Environnement, CNRS-CEA-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, France.
| | - Alexandre Albinet
- Institut National de l'Environnement Industriel et des Risques, 60550 Verneuil-en-Halatte, France; Laboratoire Central de Surveillance de la Qualité de l'Air (LCSQA), F-60550 Verneuil-en-Halatte, France
| | - Jean-Eudes Petit
- Laboratoire des Sciences du Climat et de l'Environnement, CNRS-CEA-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - Véronique Jacob
- Univ. Grenoble Alpes, CNRS, IRD, INP-G, IGE (UMR 5001), 38000 Grenoble, France
| | | | | | | | | | | | | | - Griša Močnik
- Univ. of Nova Gorica, Center for Atmos. Research, Ajdovščina, Slovenia; J. Stefan Institute, Condensed Matter Physics Dpt., Ljubljana, Slovenia
| | - Valérie Gros
- Laboratoire des Sciences du Climat et de l'Environnement, CNRS-CEA-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - Jean-Luc Jaffrezo
- Univ. Grenoble Alpes, CNRS, IRD, INP-G, IGE (UMR 5001), 38000 Grenoble, France
| | - Olivier Favez
- Institut National de l'Environnement Industriel et des Risques, 60550 Verneuil-en-Halatte, France; Laboratoire Central de Surveillance de la Qualité de l'Air (LCSQA), F-60550 Verneuil-en-Halatte, France.
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13
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Srivastava D, Favez O, Petit JE, Zhang Y, Sofowote UM, Hopke PK, Bonnaire N, Perraudin E, Gros V, Villenave E, Albinet A. Speciation of organic fractions does matter for aerosol source apportionment. Part 3: Combining off-line and on-line measurements. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 690:944-955. [PMID: 31302558 DOI: 10.1016/j.scitotenv.2019.06.378] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Revised: 06/13/2019] [Accepted: 06/23/2019] [Indexed: 06/10/2023]
Abstract
The present study proposes an advanced methodology to refine the source apportionment of organic aerosol (OA). This methodology is based on the combination of offline and online datasets in a single Positive Matrix Factorization (PMF) analysis using the multilinear engine (ME-2) algorithm and a customized time synchronization procedure. It has been applied to data from measurements conducted in the Paris region (France) during a PM pollution event in March 2015. Measurements included OA ACSM (Aerosol Chemical Speciation Monitor) mass spectra and specific primary and secondary organic molecular markers from PM10 filters on their original time resolution (30 min for ACSM and 4 h for PM10 filters). Comparison with the conventional PMF analysis of the ACSM OA dataset (PMF-ACSM) showed very good agreement for the discrimination between primary and secondary OA fractions with about 75% of the OA mass of secondary origin. Furthermore, the use of the combined datasets allowed the deconvolution of 3 primary OA (POA) factors and 7 secondary OA (SOA) factors. A clear identification of the source/origin of 54% of the total SOA mass could be achieved thanks to specific molecular markers. Specifically, 28% of that fraction was linked to combustion sources (biomass burning and traffic emissions). A clear identification of primary traffic OA was also obtained using the PMF-combined analysis while PMF-ACSM only gave a proxy for this OA source in the form of total hydrocarbon-like OA (HOA) mass concentrations. In addition, the primary biomass burning-related OA source was explained by two OA factors, BBOA and OPOA-like BBOA. This new approach has showed undeniable advantages over the conventional approaches by providing valuable insights into the processes involved in SOA formation and their sources. However, the origins of highly oxidized SOA could not be fully identified due to the lack of specific molecular markers for such aged SOA.
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Affiliation(s)
- D Srivastava
- INERIS, Parc Technologique Alata, BP 2, 60550 Verneuil-en-Halatte, France; CNRS, EPOC, UMR 5805 CNRS, 33405 Talence, France; Université de Bordeaux, EPOC, UMR 5805 CNRS, 33405 Talence, France.
| | - O Favez
- INERIS, Parc Technologique Alata, BP 2, 60550 Verneuil-en-Halatte, France
| | - J-E Petit
- LSCE - UMR8212, CNRS-CEA-UVSQ, Gif-sur-Yvette, France
| | - Y Zhang
- INERIS, Parc Technologique Alata, BP 2, 60550 Verneuil-en-Halatte, France; LSCE - UMR8212, CNRS-CEA-UVSQ, Gif-sur-Yvette, France
| | - U M Sofowote
- Environmental Monitoring and Reporting Branch, Ontario Ministry of the Environment, Conservation and Parks, Toronto, Ontario M9P 3V6, Canada
| | - P K Hopke
- Center for Air Resources Engineering and Science, Clarkson University, Potsdam, NY, USA; Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA
| | - N Bonnaire
- LSCE - UMR8212, CNRS-CEA-UVSQ, Gif-sur-Yvette, France
| | - E Perraudin
- CNRS, EPOC, UMR 5805 CNRS, 33405 Talence, France; Université de Bordeaux, EPOC, UMR 5805 CNRS, 33405 Talence, France
| | - V Gros
- LSCE - UMR8212, CNRS-CEA-UVSQ, Gif-sur-Yvette, France
| | - E Villenave
- CNRS, EPOC, UMR 5805 CNRS, 33405 Talence, France; Université de Bordeaux, EPOC, UMR 5805 CNRS, 33405 Talence, France
| | - A Albinet
- INERIS, Parc Technologique Alata, BP 2, 60550 Verneuil-en-Halatte, France.
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Albinet A, Lanzafame GM, Srivastava D, Bonnaire N, Nalin F, Wise SA. Analysis and determination of secondary organic aerosol (SOA) tracers (markers) in particulate matter standard reference material (SRM 1649b, urban dust). Anal Bioanal Chem 2019; 411:5975-5983. [DOI: 10.1007/s00216-019-02015-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Revised: 06/13/2019] [Accepted: 07/02/2019] [Indexed: 10/26/2022]
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Sources and Geographical Origins of PM10 in Metz (France) Using Oxalate as a Marker of Secondary Organic Aerosols by Positive Matrix Factorization Analysis. ATMOSPHERE 2019. [DOI: 10.3390/atmos10070370] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
An original source apportionment study was conducted on atmospheric particles (PM10) collected in Metz, one of the largest cities of Eastern France. A Positive matrix factorization (PMF) analysis was applied to a sampling filter-based chemical dataset obtained for the April 2015 to January 2017 period. Nine factors were clearly identified, showing mainly contributions from anthropogenic sources of primary PM (19.2% and 16.1% for traffic and biomass burning, respectively) as well as secondary aerosols (12.3%, 14.5%, 21.8% for sulfate-, nitrate-, and oxalate-rich factors, respectively). Wood-burning aerosols exhibited strong temporal variations and contributed up to 30% of the PM mass fraction during winter, while primary traffic concentrations remained relatively constant throughout the year. These two sources are also the main contributors during observed PM10 pollution episodes. Furthermore, the dominance of the oxalate-rich factor among other secondary aerosol factors underlines the role of atmospheric processing to secondary organic aerosol loadings which are still poorly characterized in this region. Finally, Concentration-Weighted Trajectory (CWT) analysis were performed to investigate the geographical origins of the apportioned sources, notably illustrating a significant transport of both nitrate-rich and sulfate-rich factors from Northeastern Europe but also from the Balkan region.
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16
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Gadi R, Sharma SK, Mandal TK. Source apportionment and health risk assessment of organic constituents in fine ambient aerosols (PM 2.5): A complete year study over National Capital Region of India. CHEMOSPHERE 2019; 221:583-596. [PMID: 30665088 DOI: 10.1016/j.chemosphere.2019.01.067] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2018] [Revised: 01/07/2019] [Accepted: 01/09/2019] [Indexed: 05/28/2023]
Abstract
Fine ambient aerosols (PM2.5) levels in the atmosphere are continuously worsening over Delhi and National Capital Region (NCR) of India. Complete source profiles are required to be assessed for implementation of proper mitigation measures over the NCR. In this study, emission sources of PM2.5 are reported for the NCR of India for samples collected during December 2016 to December 2017 at three sampling sites in Delhi, Uttar Pradesh and Haryana. Organic constituents (n-alkanes, isoprenoid hydrocarbons, polycyclic aromatic hydrocarbons, phthalates, levoglucosan and n-alkanoic acids) in PM2.5 were measured to apportion the sources over the study area. Source apportionment of PM2.5 was performed using organic constituents by Positive Matrix Factorization (PMF) and Principal Component Analysis (PCA). Health risk associated with organic pollutants [PAHs and carcinogen BEHP bis(2-ethylhexyl) phthalate] demonstrated the threat of PM2.5 exposure via inhalation. Transport pathways of air masses were evaluated using 3-day backward trajectories and observed that some air masses originated from local sources along with long-range transport which influenced the PAHs concentration during most of the study period over the NCR. PMF and PCA resulted in the five major emission sources [vehicular emissions (32.2%), biomass burning (30%), cooking emissions (16.8%), plastic burning (13.4%), mixed sources (7.6%) including biogenic and industrial emissions] for PM2.5 over the sampling sites. The present study reveals that transport sector is a major source to be targeted to reduce the vehicular emissions and consequent health risks associated with organic pollutants especially PAHs.
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Affiliation(s)
- Ranu Gadi
- Indira Gandhi Delhi Technical University for Women, New Delhi, 110006, India.
| | - Sudhir Kumar Sharma
- National Physical Laboratory, Council of Scientific and Industrial Research (CSIR), New Delhi, 110012, India
| | - Tuhin Kumar Mandal
- National Physical Laboratory, Council of Scientific and Industrial Research (CSIR), New Delhi, 110012, India
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17
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Comparison of Measurement-Based Methodologies to Apportion Secondary Organic Carbon (SOC) in PM2.5: A Review of Recent Studies. ATMOSPHERE 2018. [DOI: 10.3390/atmos9110452] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Secondary organic aerosol (SOA) is known to account for a major fraction of airborne particulate matter, with significant impacts on air quality and climate at the global scale. Despite the substantial amount of research studies achieved during these last decades, the source apportionment of the SOA fraction remains difficult due to the complexity of the physicochemical processes involved. The selection and use of appropriate approaches are a major challenge for the atmospheric science community. Several methodologies are nowadays available to perform quantitative and/or predictive assessments of the SOA amount and composition. This review summarizes the current knowledge on the most commonly used approaches to evaluate secondary organic carbon (SOC) contents: elemental carbon (EC) tracer method, chemical mass balance (CMB), SOA tracer method, radiocarbon (14C) measurement and positive matrix factorization (PMF). The principles, limitations, challenges and good practices of each of these methodologies are discussed in the present article. Based on a comprehensive—although not exhaustive—review of research papers published during the last decade (2006–2016), SOC estimates obtained using these methodologies are also summarized for different regions across the world. Conclusions of some studies which are directly comparing the performances of different methodologies are then specifically discussed. An overall picture of SOC contributions and concentrations obtained worldwide for urban sites under similar conditions (i.e., geographical and seasonal ones) is also proposed here. Finally, further needs to improve SOC apportionment methodologies are also identified and discussed.
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