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Hopke PK, Chen Y, Chalupa DC, Rich DQ. Long term trends in source apportioned particle number concentrations in Rochester NY. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 347:123708. [PMID: 38442826 DOI: 10.1016/j.envpol.2024.123708] [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: 01/05/2024] [Revised: 02/16/2024] [Accepted: 03/02/2024] [Indexed: 03/07/2024]
Abstract
During the past two decades, efforts have been made to further reduce particulate air pollution across New York State through various Federal and State policy implementations. Air quality has also been affected by economic drivers like the 2007-2009 recession and changing costs for different approaches to electricity generation. Prior work has focused on particulate matter with aerodynamic diameter ≤2.5 μm. However, there is also interest in the effects of ultrafine particles on health and the environment and analyses of changes in particle number concentrations (PNCs) are also of interest to assess the impacts of changing emissions. Particle number size distributions have been measured since 2005. Prior apportionments have been limited to seasonal analyses over a limited number of years because of software limitations. Thus, it has not been possible to perform trend analyses on the source-specific PNCs. Recent development have now permitted the analysis of larger data sets using Positive Matrix Factorization (PMF) including its diagnostics. Thus, this study separated and analyzed the hourly averaged size distributions from 2005 to 2019 into two data sets; October to March and April to September. Six factors were resolved for both data sets with sources identified as nucleation, traffic 1, traffic 2, fresh secondary inorganic aerosol (SIA), aged SIA, and O3-rich aerosol. The resulting source-specific PNCs were combined to provide continuous data sets and analyzed for trends. The trends were then examined with respect to the implementation of regulations and the timing of economic drivers. Nucleation was strongly reduced by the requirement of ultralow (<15 ppm) sulfur on-road diesel fuel in 2006. Secondary inorganic particles and O3-rich PNCs show strong summer peaks. Aged SIA was constant and then declined substantially in 2015 but rose in 2019. Traffic 1 and 2 have steadily declined bur rose in 2019.
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Affiliation(s)
- Philip K Hopke
- Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, NY, 14642, USA; Institute for a Sustainable Environment, Clarkson University, Potsdam, NY, 13699, USA.
| | - Yunle Chen
- Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, NY, 14642, USA
| | - David C Chalupa
- Department of Environmental Medicine, University of Rochester School of Medicine and Dentistry, Rochester, NY, 14642, USA
| | - David Q Rich
- Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, NY, 14642, USA; Department of Environmental Medicine, University of Rochester School of Medicine and Dentistry, Rochester, NY, 14642, USA
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2
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Feng Q, Liu H, Dai W, Cao Y, Shen M, Liu Y, Qi W, Chen Y, Guo X, Zhang Y, Li L, Zhou B, Li J. Comparison of chemical composition and acidity of size-resolved inorganic aerosols at the top and foot of Mt. Hua, Northwest China: The role of the gas-particle distribution of ammonia. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 905:166985. [PMID: 37704142 DOI: 10.1016/j.scitotenv.2023.166985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 09/04/2023] [Accepted: 09/09/2023] [Indexed: 09/15/2023]
Abstract
Aerosol pH is not only a diagnostic indicator of secondary aerosol formation, but also a key factor in the specific chemical reaction routes that produce sulfate and nitrate. To understand the characteristics of aerosol acidity in the Mt. Hua, the chemical fractions of water-soluble inorganic ions in the atmospheric PM2.5 and size-resolved particle at the top and foot of Mt. Hua in summer 2020 were studied. The results showed the mass concentrations of PM2.5 and water-soluble ions at the foot were 2.0-2.6 times higher than those at the top. The secondary inorganic ions, i.e., SO42-, NO3-, and NH4+ (SNA) were 56 %-61 % higher by day than by night. SO42- was mainly distributed in the fine particles (Dp < 2.1 μm). NO3- showed a unimodal size distribution (peaking at 0.7-1.1 μm) at the foot and a bimodal (0.7-1.1 μm and 4.7-5.8 μm) size distribution at the top. At the top site, the distribution of NO3- in coarse particles (> 2.1 μm) was mainly attributed to the gaseous HNO3 volatilized from fine particles reacting with cations in coarse particles to form non-volatile salts (such as Ca(NO3)2). The pH values of PM2.5 were 2.7 ± 1.3 and 3.3 ± 0.42 at the top and foot, respectively. NH4+/NH3(g) plays a decisive role in stabilizing aerosol acidity. In addition, the increase of the liquid water content (LWC) at the foot facilitates the gas-particle conversion of NH3, while the H+ concentration was diluted, resulting in a decrease in acidity at the foot. NH4+/NH3 had good linear correlations with SO42-, NO3-, and LWC during the daytime at both sites, indicating that SO42-, NO3-, and LWC together affect the gas-particle distribution of ammonia by day: however, the effect of LWC at night was not evident.
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Affiliation(s)
- Qiao Feng
- State Key Laboratory of Loess and Quaternary Geology, Key Lab of Aerosol Chemistry and Physics, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China; College of Geography and Environment, Baoji University of Arts and Sciences, Shaanxi Key Laboratory of Disaster Monitoring and Mechanism Simulation, Baoji 721013, China
| | - Haijiao Liu
- Xi'an Institute for Innovative Earth Environment Research, Xi'an 710061, China
| | - Wenting Dai
- State Key Laboratory of Loess and Quaternary Geology, Key Lab of Aerosol Chemistry and Physics, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
| | - Yue Cao
- Xi'an Institute for Innovative Earth Environment Research, Xi'an 710061, China
| | - Minxia Shen
- State Key Laboratory of Loess and Quaternary Geology, Key Lab of Aerosol Chemistry and Physics, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China; College of Geography and Environment, Baoji University of Arts and Sciences, Shaanxi Key Laboratory of Disaster Monitoring and Mechanism Simulation, Baoji 721013, China
| | - Yali Liu
- Xi'an Institute for Innovative Earth Environment Research, Xi'an 710061, China
| | - Weining Qi
- State Key Laboratory of Loess and Quaternary Geology, Key Lab of Aerosol Chemistry and Physics, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
| | - Yukun Chen
- State Key Laboratory of Loess and Quaternary Geology, Key Lab of Aerosol Chemistry and Physics, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China; State Key Laboratory of Multiphase Flow in Power Engineering, Xi'an Jiaotong University, Xi'an 710049, China
| | - Xiao Guo
- State Key Laboratory of Loess and Quaternary Geology, Key Lab of Aerosol Chemistry and Physics, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
| | - Yifan Zhang
- Xi'an Institute for Innovative Earth Environment Research, Xi'an 710061, China
| | - Lu Li
- State Key Laboratory of Loess and Quaternary Geology, Key Lab of Aerosol Chemistry and Physics, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
| | - Bianhong Zhou
- State Key Laboratory of Loess and Quaternary Geology, Key Lab of Aerosol Chemistry and Physics, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China; College of Geography and Environment, Baoji University of Arts and Sciences, Shaanxi Key Laboratory of Disaster Monitoring and Mechanism Simulation, Baoji 721013, China.
| | - Jianjun Li
- State Key Laboratory of Loess and Quaternary Geology, Key Lab of Aerosol Chemistry and Physics, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China; National Observation and Research Station of Regional Ecological Environment Change and Comprehensive Management in the Guanzhong Plain, Shaanxi, China.
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He HD, Wang ZY, Zhao HM, Pan W, Lu WZ. Spatial-temporal distribution and pedestrian exposure assessment of size-fractionated particles on crosswalk of urban intersection. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:83917-83928. [PMID: 37349494 DOI: 10.1007/s11356-023-28150-3] [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: 12/02/2022] [Accepted: 06/02/2023] [Indexed: 06/24/2023]
Abstract
Vehicles tend to produce more pollutants especially particles at an urban intersection than other segments. Meanwhile, pedestrians at an intersection are inevitably exposed to high particle level and suffered from the health problem. Especially, some particles can deposit in different thoracic areas of the respiratory system and cause serious health problems. Hence, in this paper, the particles from 0.3 to 10 μm in 16 channels were measured to compare the spatio-temporal characteristics of them on the crosswalk and the roadside. Based on the roadside of fixed measurements, submicron particles (< 1 μm) are discovered to have a high relation with traffic signal and exhibit a bimodal distribution pattern in the green phase. On the crosswalk of mobile measurements, submicron particles present decreasing trend along the crosswalk while crossing. Additionally, mobile measurements were conducted across six time intervals that correspond to different pedestrian's journey when passing the crosswalk. The results showed that all size particles in the first three journeys present high concentrations than that in other journeys. Furthermore, pedestrian exposure to all 16 channel particles was assessed. The total and regional deposition fractions of these particles in different sizes and age groups are determined. What ought to be paid attention to is that these real-world measurement results contribute to advancing the understanding of pedestrian exposure to size-fractionated particles on crosswalk and assisting the pedestrian to make better informed choice so as to limit particle exposure in these pollution hotspots.
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Affiliation(s)
- Hong-di He
- Center for Intelligent Transportation Systems and Unmanned Aerial Systems Applications, State-Key Laboratory of Ocean Engineering, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
| | - Zi-Ye Wang
- Center for Intelligent Transportation Systems and Unmanned Aerial Systems Applications, State-Key Laboratory of Ocean Engineering, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Hong-Mei Zhao
- Center for Intelligent Transportation Systems and Unmanned Aerial Systems Applications, State-Key Laboratory of Ocean Engineering, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Wei Pan
- Department of Physics, Guangxi Medical University, Nanning, 530021, China
| | - Wei-Zhen Lu
- Department of Architecture and Civil Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong
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Shi J, Liu S, Qu Y, Zhang T, Dai W, Zhang P, Li R, Zhu C, Cao J. Variations of the urban PM 2.5 chemical components and corresponding light extinction for three heating seasons in the Guanzhong Plain, China. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 327:116821. [PMID: 36442450 DOI: 10.1016/j.jenvman.2022.116821] [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: 07/27/2022] [Revised: 11/08/2022] [Accepted: 11/16/2022] [Indexed: 06/16/2023]
Abstract
In order to investigate the variations of PM2.5 (particulate matter with an aerodynamic diameter less than 2.5 μm) chemical components responding to the pollution control strategy and their effect on light extinction (bext) in the Guanzhong Plain (GZP), the comparisons of urban atmospheric chemical components during the heating seasons were extensively conducted for three years. The average concentration of PM2.5 decreased significantly from 117.9 ± 57.3 μg m-3 in the heating season 1 (HS1) to 53.5 ± 31.3 μg m-3 in the heating season 3 (HS3), which implied that the effective strategies were implemented in recent years. The greatest contribution to PM2.5 (∼30%) was from Organic matter (OM). The heightened contributions of the secondary inorganic ions (SNA, including NO3-, SO42-, and NH4+) to PM2.5 were observed with the values of 34% (HS1), 41% (HS2), and 42% (HS3), respectively. The increased percentages of NO3- contributions indicated that the emission of NOx should be received special attention in the GZP. The comparison of PM2.5 chemical compositions and implications across major regions of China and the globe were investigated. NH4NO3 was the most important contributor to bext in three heating seasons. The average bext was decreased from 694.3 ± 399.1 Mm-1 (HS1) to 359.3 ± 202.3 Mm-1 (HS3). PM2.5 had a threshold concentration of 75 μg m-3, 64 μg m-3, and 57 μg m-3 corresponding to the visual range (VR) < 10 km in HS1, HS2, and HS3, respectively. The enhanced impacts of the oxidant on PM2.5 and O3 were observed based on the long-term variations in PM2.5 and OX (Oxidant, the sum of O3 and NO2 mixing ratios) over the five heating seasons and PM2.5 and O3 over six summers from 2016 to 2021. The importance of coordinated control of PM2.5 and O3 was also investigated in the GZP.
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Affiliation(s)
- Julian Shi
- CAS Center for Excellence in Quaternary Science and Global Change, KLACP, and SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China; Xi'an Institute for Innovative Earth Environment Research, Xi'an, 710061, China; Shaanxi Key Laboratory of Atmospheric and Haze-fog Pollution Prevention, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China; National Observation and Research Station of Regional Ecological Environment Change and Comprehensive Management in the Guanzhong Plain, Shaanxi, Xi'an, 710499, China
| | - Suixin Liu
- CAS Center for Excellence in Quaternary Science and Global Change, KLACP, and SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China; Shaanxi Key Laboratory of Atmospheric and Haze-fog Pollution Prevention, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China; National Observation and Research Station of Regional Ecological Environment Change and Comprehensive Management in the Guanzhong Plain, Shaanxi, Xi'an, 710499, China
| | - Yao Qu
- CAS Center for Excellence in Quaternary Science and Global Change, KLACP, and SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China; Shaanxi Key Laboratory of Atmospheric and Haze-fog Pollution Prevention, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China; National Observation and Research Station of Regional Ecological Environment Change and Comprehensive Management in the Guanzhong Plain, Shaanxi, Xi'an, 710499, China
| | - Ting Zhang
- CAS Center for Excellence in Quaternary Science and Global Change, KLACP, and SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China; Shaanxi Key Laboratory of Atmospheric and Haze-fog Pollution Prevention, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China; National Observation and Research Station of Regional Ecological Environment Change and Comprehensive Management in the Guanzhong Plain, Shaanxi, Xi'an, 710499, China
| | - Wenting Dai
- CAS Center for Excellence in Quaternary Science and Global Change, KLACP, and SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China; Shaanxi Key Laboratory of Atmospheric and Haze-fog Pollution Prevention, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China; National Observation and Research Station of Regional Ecological Environment Change and Comprehensive Management in the Guanzhong Plain, Shaanxi, Xi'an, 710499, China
| | - Peiyun Zhang
- CAS Center for Excellence in Quaternary Science and Global Change, KLACP, and SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China; Shaanxi Key Laboratory of Atmospheric and Haze-fog Pollution Prevention, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China; National Observation and Research Station of Regional Ecological Environment Change and Comprehensive Management in the Guanzhong Plain, Shaanxi, Xi'an, 710499, China
| | - Rui Li
- CAS Center for Excellence in Quaternary Science and Global Change, KLACP, and SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China; Xi'an Institute for Innovative Earth Environment Research, Xi'an, 710061, China; Shaanxi Key Laboratory of Atmospheric and Haze-fog Pollution Prevention, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China; National Observation and Research Station of Regional Ecological Environment Change and Comprehensive Management in the Guanzhong Plain, Shaanxi, Xi'an, 710499, China
| | - Chongshu Zhu
- CAS Center for Excellence in Quaternary Science and Global Change, KLACP, and SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China; Shaanxi Key Laboratory of Atmospheric and Haze-fog Pollution Prevention, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China; National Observation and Research Station of Regional Ecological Environment Change and Comprehensive Management in the Guanzhong Plain, Shaanxi, Xi'an, 710499, China.
| | - Junji Cao
- CAS Center for Excellence in Quaternary Science and Global Change, KLACP, and SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China; Shaanxi Key Laboratory of Atmospheric and Haze-fog Pollution Prevention, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China; Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China; National Observation and Research Station of Regional Ecological Environment Change and Comprehensive Management in the Guanzhong Plain, Shaanxi, Xi'an, 710499, China
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5
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Flesch M, Christiansen AE, Burns AM, Ghate VP, Carlton AG. Ambient Aerosol Is Physically Larger on Cloudy Days in Bondville, Illinois. ACS EARTH & SPACE CHEMISTRY 2022; 6:2910-2918. [PMID: 36561197 PMCID: PMC9761781 DOI: 10.1021/acsearthspacechem.2c00207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Revised: 10/19/2022] [Accepted: 10/28/2022] [Indexed: 06/17/2023]
Abstract
Particle chemical composition affects aerosol optical and physical properties in ways important for the fate, transport, and impact of atmospheric particulate matter. For example, hygroscopic constituents take up water to increase the physical size of a particle, which can alter the extinction properties and atmospheric lifetime. At the collocated AERosol RObotic NETwork (AERONET) and Interagency Monitoring of PROtected Visual Environments (IMPROVE) network monitoring stations in rural Bondville, Illinois, we employ a novel cloudiness determination method to compare measured aerosol physicochemical properties on predominantly cloudy and clear sky days from 2010 to 2019. On cloudy days, aerosol optical depth (AOD) is significantly higher than on clear sky days in all seasons. Measured Ångström exponents are significantly smaller on cloudy days, indicating physically larger average particle size for the sampled populations in all seasons except winter. Mass concentrations of fine particulate matter that include estimates of aerosol liquid water (ALW) are higher on cloudy days in all seasons but winter. More ALW on cloudy days is consistent with larger particle sizes inferred from Ångström exponent measurements. Aerosol chemical composition that affects hygroscopicity plays a determining impact on cloudy versus clear sky differences in AOD, Ångström exponents, and ALW. This work highlights the need for simultaneous collocated, high-time-resolution measurements of both aerosol chemical and physical properties, in particular at cloudy times when quantitative understanding of tropospheric composition is most uncertain.
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Affiliation(s)
- Madison
M. Flesch
- Department of Chemistry, University
of California, Irvine, California92697, United States
| | | | - Alyssa M. Burns
- Department of Chemistry, University
of California, Irvine, California92697, United States
| | | | - Annmarie G. Carlton
- Department of Chemistry, University
of California, Irvine, California92697, United States
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6
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Tian Y, Harrison RM, Feng Y, Shi Z, Liang Y, Li Y, Xue Q, Xu J. Size-resolved source apportionment of particulate matter from a megacity in northern China based on one-year measurement of inorganic and organic components. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 289:117932. [PMID: 34426203 DOI: 10.1016/j.envpol.2021.117932] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/12/2020] [Revised: 07/16/2021] [Accepted: 08/05/2021] [Indexed: 06/13/2023]
Abstract
This research apportioned size-resolved particulate matter (PM) contributions in a megacity in northern China based on a full year of measurements of both inorganic and organic markers. Ions, elements, carbon fractions, n-alkanes, polycyclic aromatic hydrocarbons (PAHs), hopanes and steranes in 9 p.m. size fractions were analyzed. High molecular weight PAHs concentrated in fine PM, while most other organic compounds showed two peaks. Both two-way and three-way receptor models were used for source apportionment of PM in different size ranges. The three-way receptor model gave a clearer separation of factors than the two-way model, because it uses a combination of chemical composition and size distributions, so that factors with similar composition but distinct size distributions (like more mature and less mature coal combustion) can be resolved. The three-way model resolved six primary and three secondary factors. Gasoline vehicles and coal and biomass combustion, nitrate and high relative humidity related secondary aerosol, and resuspended dust and diesel vehicles (exhaust and non-exhaust) are the top two contributors to pseudo-ultrafine (<0.43 μm), fine (0.43-2.1 μm) and coarse mode (>2.1 μm) PM, respectively. Mass concentration of PM from coal and biomass combustion, industrial emissions, and diesel vehicle sources showed a bimodal size distribution, but gasoline vehicles and resuspended dust exhibited a peak in the fine and coarse mode, separately. Mass concentration of sulphate, nitrate and secondary organic aerosol exhibited a bimodal distribution and were correlated with temperature, indicating strong photochemical processing and repartitioning. High relative humidity related secondary aerosol was strongly associated with size shifts of PM, NO3- and SO42- from the usual 0.43-0.65 μm to 1.1-2.1 μm. Our results demonstrated the dominance of primary combustion sources in the <0.43 μm particle mass, in contrast to that of secondary aerosol in fine particle mass, and dust in coarse particle mass in the Northern China megacity.
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Affiliation(s)
- Yingze Tian
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin, 300071, China.
| | - Roy M Harrison
- School of Geography Earth and Environmental Science, University of Birmingham, Birmingham, B15 2TT, UK; Department of Environmental Sciences / Center of Excellence in Environmental Studies, King Abdulaziz University, PO Box 80203, Jeddah, 21589, Saudi Arabia
| | - Yinchang Feng
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin, 300071, China
| | - Zongbo Shi
- School of Geography Earth and Environmental Science, University of Birmingham, Birmingham, B15 2TT, UK
| | - Yongli Liang
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin, 300071, China
| | - Yixuan Li
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin, 300071, China
| | - Qianqian Xue
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin, 300071, China
| | - Jingsha Xu
- School of Geography Earth and Environmental Science, University of Birmingham, Birmingham, B15 2TT, UK
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Huang W, Yang Y, Wang Y, Gao W, Li H, Zhang Y, Li J, Zhao S, Yan Y, Ji D, Tang G, Liu Z, Wang L, Zhang R, Wang Y. Exploring the inorganic and organic nitrate aerosol formation regimes at a suburban site on the North China Plain. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 768:144538. [PMID: 33453527 DOI: 10.1016/j.scitotenv.2020.144538] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2020] [Revised: 12/03/2020] [Accepted: 12/12/2020] [Indexed: 06/12/2023]
Abstract
Nitrate-driven aerosol pollution frequently occurs during winter over the North China Plain (NCP). Extensive studies have focused on inorganic nitrate formation, but few have focused on organic nitrates in China, precluding a thorough understanding of the nitrogen cycle and nitrate aerosol formation. Here, the inorganic (NO3,inorg) and organic nitrate (NO3,org) formation regimes under aerosol liquid water (ALW) and aerosol acidity (pH) influences were investigated during winter over the NCP based on data derived from an Aerodyne high-resolution time-of-flight aerosol mass spectrometer (HR-ToF-AMS). The campaign-averaged concentration of the total nitrate was 5.3 μg m-3, with a 13% contribution from NO3,org, which exhibited a significantly decreased contribution with increasing haze episode evolution. The diurnal cycles of NO3,inorg and NO3,org were similar, with high concentrations during the nighttime at a high ALW level, revealing the important role of aqueous-phase processes. However, the correlations between the aerosol pH and NO3,inorg (R2 = 0.13, P < 0.01) and NO3,org (R2 = 0.63, P < 0.01) during polluted periods indicated a contrasting effect of aerosol pH on inorganic and organic nitrate formation. Our results provide a useful reference for smog chamber studies and promote a better understanding of organic nitrate formation via anthropogenic emissions.
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Affiliation(s)
- Wei Huang
- Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Yuan Yang
- Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Yonghong Wang
- Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, P.O. Box 64, 00014 University of Helsinki, Helsinki, Finland.
| | - Wenkang Gao
- Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Haiyan Li
- Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, P.O. Box 64, 00014 University of Helsinki, Helsinki, Finland
| | - Yanyan Zhang
- Langfang Meteorological Bureau of Hebei Province, Langfang 065000, Hebei, China
| | - Jiayun Li
- Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Shuman Zhao
- Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Yingchao Yan
- Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Dongsheng Ji
- Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Guiqian Tang
- Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Zirui Liu
- Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Lili Wang
- Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Renjian Zhang
- Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Yuesi Wang
- Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; University of the Chinese Academy of Sciences, Beijing 100049, China; Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China.
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8
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Mahilang M, Deb MK, Pervez S, Tiwari S, Jain VK. Biogenic secondary organic aerosol formation in an urban area of eastern central India: Seasonal variation, size distribution and source characterization. ENVIRONMENTAL RESEARCH 2021; 195:110802. [PMID: 33516684 DOI: 10.1016/j.envres.2021.110802] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/29/2020] [Revised: 12/17/2020] [Accepted: 01/22/2021] [Indexed: 06/12/2023]
Abstract
Samples of ambient aerosols were collected at an urban site of eastern central India from monsoon to summer 2016-17 for the characterization of biogenic secondary organic aerosols (BSOA). The BSOA tracers derived from isoprene, α/β-pinene and β-caryophyllene in size-distributed aerosols were studied. Concentrations of total SOAI (Isoprene secondary organic aerosols) were found more abundant than α/β-pinene in summer, while contradictory trends were found in the winter season, where SOAM (monoterpene derived SOA) and SOAS (sesquiterpenes derived SOA) were dominated. Size-distribution study revealed that most of the BSOA were formed in the aerosol phase and dominated in fine mode, except cis-pinonic acid. They were formed in the gaseous phase and partitioned onto the aerosol phase. The alkaline nature of mineral dust particles that triggered the adsorption of gaseous species onto pre-existing particles could be the reason for bimodal size distribution with major coarse mode peak and miner fine mode peak. Temporal variations suggest that the BSOA must be derived from terrestrial vegetation and biomass burning. The isoprene SOC (secondary organic carbon) contributed 0.91%, 1.38%, 0.88% and 1.04% to OC during winter, summer, post-monsoon and monsoon season, respectively. The isoprene SOC in fine mode was found to be higher than the coarse mode.
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Affiliation(s)
- Mithlesh Mahilang
- School of Studies in Chemistry, Pt. Ravishankar Shukla University, Raipur, Chhattisgarh, 492010, India
| | - Manas Kanti Deb
- School of Studies in Chemistry, Pt. Ravishankar Shukla University, Raipur, Chhattisgarh, 492010, India.
| | - Shamsh Pervez
- School of Studies in Chemistry, Pt. Ravishankar Shukla University, Raipur, Chhattisgarh, 492010, India
| | - Swapnil Tiwari
- School of Studies in Chemistry, Pt. Ravishankar Shukla University, Raipur, Chhattisgarh, 492010, India
| | - Vikas Kumar Jain
- Department of Chemistry, Government Engineering College, Sejbahar, Raipur, Chhattisgarh, India
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9
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Zhang Y, Zhang Q, Yao Z, Li H. Particle Size and Mixing State of Freshly Emitted Black Carbon from Different Combustion Sources in China. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2020; 54:7766-7774. [PMID: 32510935 DOI: 10.1021/acs.est.9b07373] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Modeling studies have highlighted that accurate simulations of radiative effect of black carbon (BC) require knowledge about the particle size and mixing state of freshly emitted BC from combustion sources. However, the information is absent in China due to lack of available measurements. In this study, we present the particle size and mixing state of fresh BC emitted from diesel vehicles (DV), brick kilns (BK), residential crop residue burnings (CR), and residential firewood burnings (FW) in September-October 2014 at North China Plain by field measurement. The mass median diameters of BC cores (whole particles including cores and coatings) above the limit of measurement (i.e., > 70 nm) from these sources are ∼155 (∼194), ∼230 (∼306), ∼250 (∼438) and ∼273 (∼426) nm, respectively, and corresponding size ratios (i.e., mixing state) are ∼1.25, ∼1.33, ∼1.75, and ∼1.56, respectively. Compared with the values commonly used in model based on the laboratory experiments and the field measurements in developed countries, larger particle sizes and higher mixing sate of freshly emitted BC in China may enhance their light absorption and cloud condensation nuclei activities during atmospheric transport. The available data could be used to improve future model development on radiative effect of BC in China.
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Affiliation(s)
- Yuxuan Zhang
- Ministry of Education Key Laboratory for Earth System Modelling, Department of Earth System Science, Tsinghua University, Beijing 100084, People's Republic of China
| | - Qiang Zhang
- Ministry of Education Key Laboratory for Earth System Modelling, Department of Earth System Science, Tsinghua University, Beijing 100084, People's Republic of China
| | - Zhiliang Yao
- Department of Environmental Science and Engineering, Beijing Technology and Business University, Beijing 100048, People's Republic of China
| | - Haiyan Li
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, People's Republic of China
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10
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Lei Y, Shen Z, Tang Z, Zhang Q, Sun J, Ma Y, Wu X, Qin Y, Xu H, Zhang R. Aerosols chemical composition, light extinction, and source apportionment near a desert margin city, Yulin, China. PeerJ 2020; 8:e8447. [PMID: 32095332 PMCID: PMC7025702 DOI: 10.7717/peerj.8447] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2019] [Accepted: 12/20/2019] [Indexed: 11/20/2022] Open
Abstract
Daily PM10and PM2.5 sampling was conducted during four seasons from December 2013 to October 2014 at three monitoring sites over Yulin, a desert margin city. PM10 and PM2.5 levels, water soluble ions, organic carbon (OC), and elemental carbon (EC) were also analyzed to characterize their chemical profiles. b ext (light extinction coefficient) was calculated, which showed the highest in winter with an average of 232.95 ± 154.88 Mm-1, followed by autumn, summer, spring. Light extinction source apportionment results investigated (NH4)2SO4 and NH4NO3 played key roles in the light extinction under high RH conditions during summer and winter. Sulfate, nitrate and Ca2 + dominated in PM10/PM2.5 ions. Ion balance results illustrated that PM samples were alkaline, and PM10 samples were more alkaline than PM2.5. High SO4 2-/K+ and Cl-/K+ ratio indicated the important contribution of coal combustion, which was consistent with the OC/EC regression equation intercepts results. Principal component analysis (PCA) analyses results showed that the fugitive dust was the most major source of PM, followed by coal combustion & gasoline vehicle emissions, secondary formation and diesel vehicle emissions. Potential contribution source function (PSCF) results suggested that local emissions, as well as certain regional transport from northwesterly and southerly areas contributed to PM2.5 loadings during the whole year. Local government should take some measures to reduce the PM levels.
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Affiliation(s)
- Yali Lei
- Department of Environmental Sciences and Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Zhenxing Shen
- Department of Environmental Sciences and Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Zhuoyue Tang
- Department of Environmental Sciences and Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Qian Zhang
- School of Environmental & Municipal Engineering, Xi'an University of Architecture and Technology, Xi'an, Shaanxi, China
| | - Jian Sun
- Department of Environmental Sciences and Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Yongjing Ma
- College of Atmospheric Sciences, Key Laboratory of Arid Climatic Change and Reducing Disaster of Gansu Province, Lanzhou University, Lanzhou, China.,State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
| | - Xiaoyan Wu
- College of Atmospheric Sciences, Key Laboratory of Arid Climatic Change and Reducing Disaster of Gansu Province, Lanzhou University, Lanzhou, China.,State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
| | - Yiming Qin
- School of Engineering and Applied Sciences, Harvard University, Cambridge, United States of America
| | - Hongmei Xu
- Department of Environmental Sciences and Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Renjian Zhang
- Key Laboratory of Regional Climate-Environment Research for Temperate East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
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11
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Long-Term Changes of Source Apportioned Particle Number Concentrations in a Metropolitan Area of the Northeastern United States. ATMOSPHERE 2019. [DOI: 10.3390/atmos10010027] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
The northeastern United States has experienced significant emissions reductions in the last two decades leading to a decrease in PM2.5, major gaseous pollutants (SO2, CO, NOx) and ultrafine particles (UFPs) concentrations. Emissions controls were implemented for coal-fired power plants, and new heavy-duty diesel trucks were equipped with particle traps and NOx control systems, and ultralow sulfur content is mandatory for both road and non-road diesel as well as residual oil for space heating. At the same time, economic changes also influenced the trends in air pollutants. Investigating the influence of these changes on ultrafine particle sources is fundamental to determine the success of the mitigation strategies and to plan future actions. Particle size distributions have been measured in Rochester, NY since January 2002. The particle sources were investigated with positive matrix factorization (PMF) of the size distributions (11–470 nm) and measured criteria pollutants during five periods (2002–2003, 2004–2007, 2008–2010, 2011–2013, and 2014–2016) and three seasons (winter, summer, and transition). Monthly, weekly, and hourly source contributions patterns were evaluated.
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12
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Zhang K, Chai F, Zheng Z, Yang Q, Zhong X, Fomba KW, Zhou G. Size distribution and source of heavy metals in particulate matter on the lead and zinc smelting affected area. J Environ Sci (China) 2018; 71:188-196. [PMID: 30195677 DOI: 10.1016/j.jes.2018.04.018] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2017] [Revised: 04/20/2018] [Accepted: 04/20/2018] [Indexed: 05/28/2023]
Abstract
In order to understand the size distribution and the main kind of heavy metals in particulate matter on the lead and zinc smelting affected area, particulate matter (PM) and the source samples were collected in Zhuzhou, Hunan Province from December 2011 to January 2012 and the results were discussed and interpreted. Atmospheric particles were collected with different sizes by a cascade impactor. The concentrations of heavy metals in atmospheric particles of different sizes, collected from the air and from factories, were measured using an inductively coupled plasma mass spectrometry (ICP-MS). The results indicated that the average concentration of PM, chromium (Cr), arsenic (As), cadmium (Cd) and lead (Pb) in PM was 177.3 ± 33.2 μg/m3, 37.3 ± 8.8 ng/m3, 17.3 ± 8.1 ng/m3, 4.8 ± 3.1 ng/m3 and 141.6 ± 49.1 ng/m3, respectively. The size distribution of PM displayed a bimodal distribution; the maximum PM size distribution was at 1.1-2.1 μm, followed by 9-10 μm. The size distribution of As, Cd and Pb in PM was similar to the distribution of the PM mass, with peaks observed at the range of 1.1-2.1 μm and 9-10 μm ranges while for Cr, only a single-mode at 4.7-5.8 μm was observed. PM (64.7%), As (72.5%), Cd (72.2%) and Pb (75.8%) were associated with the fine mode below 2.1 μm, respectively, while Cr (46.6%) was associated with the coarse mode. The size distribution characteristics, enrichment factor, correlation coefficient values, source information and the analysis of source samples showed that As, Cd and Pb in PM were the typical heavy metal in lead and zinc smelting affected areas, which originated mainly from lead and zinc smelting sources.
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Affiliation(s)
- Kai Zhang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
| | - Fahe Chai
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Zilong Zheng
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; College of Chemical and Environmental Engineering, Shandong University of Science and Technology, Qingdao 266590, China
| | - Qing Yang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; College of Chemical and Environmental Engineering, Shandong University of Science and Technology, Qingdao 266590, China
| | - Xuecai Zhong
- Zhuzhou Environment Monitoring Center, Zhuzhou 412000, China
| | | | - Guangzhu Zhou
- College of Chemical and Environmental Engineering, Shandong University of Science and Technology, Qingdao 266590, China
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13
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Di Antonio A, Popoola OAM, Ouyang B, Saffell J, Jones RL. Developing a Relative Humidity Correction for Low-Cost Sensors Measuring Ambient Particulate Matter. SENSORS 2018; 18:s18092790. [PMID: 30149560 PMCID: PMC6164928 DOI: 10.3390/s18092790] [Citation(s) in RCA: 73] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/29/2018] [Revised: 08/03/2018] [Accepted: 08/22/2018] [Indexed: 12/03/2022]
Abstract
There is increasing concern about the health impacts of ambient Particulate Matter (PM) exposure. Traditional monitoring networks, because of their sparseness, cannot provide sufficient spatial-temporal measurements characteristic of ambient PM. Recent studies have shown portable low-cost devices (e.g., optical particle counters, OPCs) can help address this issue; however, their application under ambient conditions can be affected by high relative humidity (RH) conditions. Here, we show how, by exploiting the measured particle size distribution information rather than PM as has been suggested elsewhere, a correction can be derived which not only significantly improves sensor performance but which also retains fundamental information on particle composition. A particle size distribution–based correction algorithm, founded on κ-Köhler theory, was developed to account for the influence of RH on sensor measurements. The application of the correction algorithm, which assumed physically reasonable κ values, resulted in a significant improvement, with the overestimation of PM measurements reduced from a factor of ~5 before correction to 1.05 after correction. We conclude that a correction based on particle size distribution, rather than PM mass, is required to properly account for RH effects and enable low cost optical PM sensors to provide reliable ambient PM measurements.
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Affiliation(s)
- Andrea Di Antonio
- Centre for Atmospheric Science, Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, UK.
| | - Olalekan A M Popoola
- Centre for Atmospheric Science, Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, UK.
| | - Bin Ouyang
- Centre for Atmospheric Science, Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, UK.
| | - John Saffell
- Alphasense Ltd., Sensor Technology House, 300 Avenue West, Skyline 120, Great Notley, Essex CM77 7AA, UK.
| | - Roderic L Jones
- Centre for Atmospheric Science, Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, UK.
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14
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Giorio C, Monod A, Brégonzio-Rozier L, DeWitt HL, Cazaunau M, Temime-Roussel B, Gratien A, Michoud V, Pangui E, Ravier S, Zielinski AT, Tapparo A, Vermeylen R, Claeys M, Voisin D, Kalberer M, Doussin JF. Cloud Processing of Secondary Organic Aerosol from Isoprene and Methacrolein Photooxidation. J Phys Chem A 2017; 121:7641-7654. [PMID: 28902512 PMCID: PMC5642272 DOI: 10.1021/acs.jpca.7b05933] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2017] [Revised: 09/02/2017] [Indexed: 11/30/2022]
Abstract
Aerosol-cloud interaction contributes to the largest uncertainties in the estimation and interpretation of the Earth's changing energy budget. The present study explores experimentally the impacts of water condensation-evaporation events, mimicking processes occurring in atmospheric clouds, on the molecular composition of secondary organic aerosol (SOA) from the photooxidation of methacrolein. A range of on- and off-line mass spectrometry techniques were used to obtain a detailed chemical characterization of SOA formed in control experiments in dry conditions, in triphasic experiments simulating gas-particle-cloud droplet interactions (starting from dry conditions and from 60% relative humidity (RH)), and in bulk aqueous-phase experiments. We observed that cloud events trigger fast SOA formation accompanied by evaporative losses. These evaporative losses decreased SOA concentration in the simulation chamber by 25-32% upon RH increase, while aqueous SOA was found to be metastable and slowly evaporated after cloud dissipation. In the simulation chamber, SOA composition measured with a high-resolution time-of-flight aerosol mass spectrometer, did not change during cloud events compared with high RH conditions (RH > 80%). In all experiments, off-line mass spectrometry techniques emphasize the critical role of 2-methylglyceric acid as a major product of isoprene chemistry, as an important contributor to the total SOA mass (15-20%) and as a key building block of oligomers found in the particulate phase. Interestingly, the comparison between the series of oligomers obtained from experiments performed under different conditions show a markedly different reactivity. In particular, long reaction times at high RH seem to create the conditions for aqueous-phase processing to occur in a more efficient manner than during two relatively short cloud events.
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Affiliation(s)
- Chiara Giorio
- Department
of Chemistry, University of Cambridge, Cambridge CB2 1EW, U.K.
- Aix
Marseille Univ, CNRS, LCE, Marseille, France
| | - Anne Monod
- Aix
Marseille Univ, CNRS, LCE, Marseille, France
| | - Lola Brégonzio-Rozier
- Laboratoire
Interuniversitaire des Systèmes Atmosphériques, UMR7583, CNRS, Université Paris-Est-Créteil
et Université Paris Diderot, Institut Pierre Simon Laplace, Créteil, France
| | | | - Mathieu Cazaunau
- Laboratoire
Interuniversitaire des Systèmes Atmosphériques, UMR7583, CNRS, Université Paris-Est-Créteil
et Université Paris Diderot, Institut Pierre Simon Laplace, Créteil, France
| | | | - Aline Gratien
- Laboratoire
Interuniversitaire des Systèmes Atmosphériques, UMR7583, CNRS, Université Paris-Est-Créteil
et Université Paris Diderot, Institut Pierre Simon Laplace, Créteil, France
| | - Vincent Michoud
- Laboratoire
Interuniversitaire des Systèmes Atmosphériques, UMR7583, CNRS, Université Paris-Est-Créteil
et Université Paris Diderot, Institut Pierre Simon Laplace, Créteil, France
| | - Edouard Pangui
- Laboratoire
Interuniversitaire des Systèmes Atmosphériques, UMR7583, CNRS, Université Paris-Est-Créteil
et Université Paris Diderot, Institut Pierre Simon Laplace, Créteil, France
| | | | | | - Andrea Tapparo
- Dipartimento
di Scienze Chimiche, Università degli
Studi di Padova, Padova 35131, Italy
| | - Reinhilde Vermeylen
- Department
of Pharmaceutical Sciences, University of
Antwerp (Campus Drie Eiken), Universiteitsplein 1, BE-2610 Antwerp, Belgium
| | - Magda Claeys
- Department
of Pharmaceutical Sciences, University of
Antwerp (Campus Drie Eiken), Universiteitsplein 1, BE-2610 Antwerp, Belgium
| | - Didier Voisin
- Universités
Joseph Fourier-Grenoble 1, CNRS, UMR5183,
Laboratoire de Glaciologie et Géophysique de l’Environnement, 38402 Saint Martin
d’Hères, France
| | - Markus Kalberer
- Department
of Chemistry, University of Cambridge, Cambridge CB2 1EW, U.K.
| | - Jean-François Doussin
- Laboratoire
Interuniversitaire des Systèmes Atmosphériques, UMR7583, CNRS, Université Paris-Est-Créteil
et Université Paris Diderot, Institut Pierre Simon Laplace, Créteil, France
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15
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Liu Z, Xie Y, Hu B, Wen T, Xin J, Li X, Wang Y. Size-resolved aerosol water-soluble ions during the summer and winter seasons in Beijing: Formation mechanisms of secondary inorganic aerosols. CHEMOSPHERE 2017; 183:119-131. [PMID: 28544897 DOI: 10.1016/j.chemosphere.2017.05.095] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/15/2017] [Revised: 05/11/2017] [Accepted: 05/15/2017] [Indexed: 06/07/2023]
Abstract
Size-segregated water-soluble ionic species (WSIs) were measured using an Anderson cascade impactor from Jul. to Aug. 2008 and from Dec. 2009 to Feb. 2010 in urban Beijing. The results showed that fine particles (PM2.1, Dp < 2.1 μm) accounted for ∼49% (summer) and ∼34% (winter) of the total particulate mass, and WSIs accounted for 23-82% of the mass concentration of PM2.1. Secondary inorganic aerosols (SIAs, the sum of SO42-, NO3- and NH4+) accounted for more than 30% of the fine particles, which were greatly elevated during particle pollution events (PM events), thereby leading to an alteration of the size distributions of SO42- and NO3- to nearly single fine-mode distributions peaking at 0.65-2.1 μm. This finding suggests that heterogeneous aqueous reactions were enhanced at high RH values. SIAs also increased during dust events, particularly for coarse mode SO42-, which indicated enhanced heterogeneous reactions on the dust surface. The positive matrix factorization (PMF) model was used to resolve the bulk mass size distributions into condensation, droplet, and coarse modes, representing the three major sources of the particles. The formation of SO42- was attributed primarily to in-cloud or aerosol droplet processes during summer (45%), and the heterogeneous reaction of SO2 on mineral dust surfaces was an important formation pathway during winter (45%). The formation pathways of NO3- in fine particles were similar to those of SO42-, where over 30% were formed by in-cloud processes. This work provides important field measurement-based evidence for understanding the formation pathway of secondary inorganic aerosols in the megacity of Beijing.
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Affiliation(s)
- Zirui Liu
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China.
| | - Yuzhu Xie
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Bo Hu
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Tianxue Wen
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Jinyuan Xin
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Xingru Li
- Department of Chemistry, Analytical and Testing Center, Capital Normal University, Beijing 100048, China
| | - Yuesi Wang
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China.
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16
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Wang J, Zhou M, Liu BS, Wu JH, Peng X, Zhang YF, Han SQ, Feng YC, Zhu T. Characterization and source apportionment of size-segregated atmospheric particulate matter collected at ground level and from the urban canopy in Tianjin. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2016; 219:982-992. [PMID: 27838065 DOI: 10.1016/j.envpol.2016.10.069] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2016] [Revised: 10/24/2016] [Accepted: 10/25/2016] [Indexed: 06/06/2023]
Abstract
To investigate the size distributions of chemical compositions and sources of particulate matter (PM) at ground level and from the urban canopy, a study was conducted on a 255 m meteorological tower in Tianjin from December 2013 to January 2014. Thirteen sets of 8 size-segregated particles were collected with cascade impactor at 10 m and 220 m. Twelve components of particles, including water-soluble inorganic ions and carbonaceous species, were analyzed and used to apportion the sources of PM with positive matrix factorization. Our results indicated that the concentrations, size distributions of chemical compositions and sources of PM at the urban canopy were affected by regional transport due to a stable layer approximately 200 m and higher wind speed at 220 m. The concentrations of PM, Cl- and elemental carbon (EC) in fine particles at 10 m were higher than that at 220 m, while the reverse was true for NO3- and SO42-. The concentrations of Na+, Ca2+, Mg2+, Cl- and EC in coarse particles at 10 m were higher than that at 220 m. The size distributions of major primary species, such as Cl-, Na+, Ca2+, Mg2+ and EC, were similar at two different heights, indicating that there were common and dominant sources. The peaks of SO42-, NH4+, NO3- and organic carbon (OC), which were partly secondary generated species, shifted slightly to the smaller particles at 220 m, indicating that there was a different formation mechanism. Industrial pollution and coal combustion, re-suspended dust and marine salt, traffic emissions and transport, and secondary inorganic aerosols were the major sources of PM at both heights. With the increase in vertical height, the influence of traffic emissions, re-suspended dust and biomass burning on PM weakened, but the characteristics of regional transport from Hebei Province and Beijing gradually become obvious.
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Affiliation(s)
- Jiao Wang
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China
| | - Ming Zhou
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China
| | - Bao-Shuang Liu
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China
| | - Jian-Hui Wu
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China.
| | - Xing Peng
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China
| | - Yu-Fen Zhang
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China
| | - Su-Qin Han
- Tianjin Institute of Meteorological Science, Tianjin 300074, China
| | - Yin-Chang Feng
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China
| | - Tan Zhu
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China
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17
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Direct observation of aqueous secondary organic aerosol from biomass-burning emissions. Proc Natl Acad Sci U S A 2016; 113:10013-8. [PMID: 27551086 DOI: 10.1073/pnas.1602212113] [Citation(s) in RCA: 110] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
The mechanisms leading to the formation of secondary organic aerosol (SOA) are an important subject of ongoing research for both air quality and climate. Recent laboratory experiments suggest that reactions taking place in the atmospheric liquid phase represent a potentially significant source of SOA mass. Here, we report direct ambient observations of SOA mass formation from processing of biomass-burning emissions in the aqueous phase. Aqueous SOA (aqSOA) formation is observed both in fog water and in wet aerosol. The aqSOA from biomass burning contributes to the "brown" carbon (BrC) budget and exhibits light absorption wavelength dependence close to the upper bound of the values observed in laboratory experiments for fresh and processed biomass-burning emissions. We estimate that the aqSOA from residential wood combustion can account for up to 0.1-0.5 Tg of organic aerosol (OA) per y in Europe, equivalent to 4-20% of the total OA emissions. Our findings highlight the importance of aqSOA from anthropogenic emissions on air quality and climate.
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18
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Cheng Z, Jiang J, Chen C, Gao J, Wang S, Watson JG, Wang H, Deng J, Wang B, Zhou M, Chow JC, Pitchford ML, Hao J. Estimation of aerosol mass scattering efficiencies under high mass loading: case study for the megacity of Shanghai, China. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2015; 49:831-838. [PMID: 25495050 DOI: 10.1021/es504567q] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
Aerosol mass scattering efficiency (MSE), used for the scattering coefficient apportionment of aerosol species, is often studied under the condition of low aerosol mass loading in developed countries. Severe pollution episodes with high particle concentration frequently happened in eastern urban China in recent years. Based on synchronous measurement of aerosol physical, chemical, and optical properties at the megacity of Shanghai for two months during autumn 2012, we studied MSE characteristics at high aerosol mass loading. Their relationships with mass concentrations and size distributions were examined. It was found that MSE values from the original US IMPROVE algorithm could not represent the actual aerosol characteristics in eastern China. It results in an underestimation of the measured ambient scattering coefficient by 36%. MSE values in Shanghai were estimated to be 3.5 ± 0.55 m(2)/g for ammonia sulfate, 4.3 ± 0.63 m(2)/g for ammonia nitrate, and 4.5 ± 0.73 m(2)/g for organic matter, respectively. MSEs for three components increased rapidly with increasing mass concentration in low aerosol mass loading, then kept at a stable level after a threshold mass concentration of 12–24 μg/m(3). During severe pollution episodes, particle growth from an initial peak diameter of 200–300 nm to a peak diameter of 500–600 nm accounts for the rapid increase in MSEs at high aerosol mass loading, that is, particle diameter becomes closer to the wavelength of visible lights. This study provides insights of aerosol scattering properties at high aerosol concentrations and implies the necessity of MSE localization for extinction apportionment, especially for the polluted regions.
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Schwarz J, Štefancová L, Maenhaut W, Smolík J, Ždímal V. Mass and chemically speciated size distribution of Prague aerosol using an aerosol dryer--the influence of air mass origin. THE SCIENCE OF THE TOTAL ENVIRONMENT 2012; 437:348-362. [PMID: 22954654 DOI: 10.1016/j.scitotenv.2012.07.050] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2012] [Revised: 05/23/2012] [Accepted: 07/17/2012] [Indexed: 06/01/2023]
Abstract
Ambient aerosol particles dried using a diffusional aerosol dryer were sampled using a 7-stage modified Berner low pressure impactor with a back-up filter during the heating and non-heating season campaigns in 2008. The samples were analyzed for water-soluble ions and water-soluble organic carbon. Because of the drying, the aerosol size distribution was not influenced by the daily variability of ambient relative humidity. The results summarize the observations from campaigns in both the heating (11 sampling days) and non-heating (10 sampling days) seasons. The aerosols sampled on individual days were classified based on the connected air mass back trajectories into three classes: sea-influenced aerosol (SIA), continental aerosol (CA) and mixed aerosol (MA) for samples of intermediate origin. The differences between CA and SIA were substantial both when looking at the normalized mass size distributions of the particulate matter (PM) and of the individual species and when taking into account the absolute concentrations in the fine and coarse size fractions. The main differences were found in the normalized mass size distributions of the PM and of the sea-salt related ions.
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Affiliation(s)
- J Schwarz
- Institute of Chemical Process Fundamentals of the ASCR, v.v.i., Rozvojova 2, 165 02 Prague 6 - Suchdol, Czech Republic
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Wonaschuetz A, Sorooshian A, Ervens B, Chuang PY, Feingold G, Murphy SM, de Gouw J, Warneke C, Jonsson HH. Aerosol and gas re-distribution by shallow cumulus clouds: An investigation using airborne measurements. ACTA ACUST UNITED AC 2012. [DOI: 10.1029/2012jd018089] [Citation(s) in RCA: 51] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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21
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Hodas N, Meng Q, Lunden MM, Rich DQ, Ozkaynak H, Baxter LK, Zhang Q, Turpin BJ. Variability in the fraction of ambient fine particulate matter found indoors and observed heterogeneity in health effect estimates. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2012; 22:448-54. [PMID: 22617722 DOI: 10.1038/jes.2012.34] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Exposure to ambient (outdoor-generated) fine particulate matter (PM(2.5)) occurs predominantly indoors. The variable efficiency with which ambient PM(2.5) penetrates and persists indoors is a source of exposure error in air pollution epidemiology and could contribute to observed temporal and spatial heterogeneity in health effect estimates. We used a mass balance approach to model F for several scenarios across which heterogeneity in effect estimates has been observed: with geographic location of residence, residential roadway proximity, socioeconomic status, and central air-conditioning use. We found F is higher in close proximity to primary combustion sources (e.g. proximity to traffic) and for lower income homes. F is lower when PM(2.5) is enriched in nitrate and with central air-conditioning use. As a result, exposure error resulting from variability in F will be greatest when these factors have high temporal and/or spatial variability. The circumstances for which F is lower in our calculations correspond to circumstances for which lower effect estimates have been observed in epidemiological studies and higher F values correspond to higher effect estimates. Our results suggest that variability in exposure misclassification resulting from variability in F is a possible contributor to heterogeneity in PM-mediated health effect estimates.
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Affiliation(s)
- Natasha Hodas
- Department of Environmental Sciences, Rutgers University, New Brunswick, New Jersey 08901, USA
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22
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Friese E, Ebel A. Temperature Dependent Thermodynamic Model of the System H+−NH4+−Na+−SO42−−NO3−−Cl−−H2O. J Phys Chem A 2010; 114:11595-631. [DOI: 10.1021/jp101041j] [Citation(s) in RCA: 109] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Affiliation(s)
- Elmar Friese
- Rhenish Institute of Environmental Research, University of Cologne, Cologne, Germany
| | - Adolf Ebel
- Rhenish Institute of Environmental Research, University of Cologne, Cologne, Germany
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van Pinxteren D, Brüggemann E, Gnauk T, Iinuma Y, Müller K, Nowak A, Achtert P, Wiedensohler A, Herrmann H. Size‐ and time‐resolved chemical particle characterization during CAREBeijing‐2006: Different pollution regimes and diurnal profiles. ACTA ACUST UNITED AC 2009. [DOI: 10.1029/2008jd010890] [Citation(s) in RCA: 57] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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24
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Raymond CVJ. ESTIMATING THE LUNG DEPOSITION OF PARTICULATE POLYCYCLIC AROMATIC HYDROCARBONS ASSOCIATED WITH MULTIMODAL URBAN AEROSOLS. Inhal Toxicol 2008. [DOI: 10.1080/089583798197727] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/16/2022]
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25
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Kleinman MT, Bhalla DK, Mautz WJ, Phalen RF. Cellular and Immunologic Injury with PM-10 Inhalation. Inhal Toxicol 2008. [DOI: 10.3109/08958379509014467] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
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26
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Miller FJ, Anjilvel S, Menache MG, Asgharian B, Gerrity TR. Dosimetric Issues Relating to Particulate Toxicity. Inhal Toxicol 2008. [DOI: 10.3109/08958379509014469] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
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27
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Kao AS, Friedlander SK. Temporal Variations of Particulate Air Pollution: A Marker for Free Radical Dosage and Adverse Health Effects? Inhal Toxicol 2008. [DOI: 10.3109/08958379509014278] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
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28
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Kim D, Wang C, Ekman AML, Barth MC, Rasch PJ. Distribution and direct radiative forcing of carbonaceous and sulfate aerosols in an interactive size-resolving aerosol–climate model. ACTA ACUST UNITED AC 2008. [DOI: 10.1029/2007jd009756] [Citation(s) in RCA: 77] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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29
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Lin CC, Chen SJ, Huang KL, Lee WJ, Lin WY, Liao CJ, Chaung HC, Chiu CH. Water-soluble ions in nano/ultrafine/fine/coarse particles collected near a busy road and at a rural site. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2007; 145:562-70. [PMID: 16772108 DOI: 10.1016/j.envpol.2006.04.023] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/06/2006] [Revised: 04/07/2006] [Accepted: 04/13/2006] [Indexed: 05/10/2023]
Abstract
This study investigated water-soluble ions in the sized particles (particularly nano (PM(0.01-0.056))/ultrafine (PM(0.01-0.1))) collected using MOUDI and Nano-MOUDI samplers near a busy road site and at a rural site. The analytical results demonstrate that nano and coarse particles exhibited the highest (16.3%) and lowest (8.37%) nitrate mass ratios, respectively. The mass ratio of NO(3)(-) was higher than that of SO(4)(2-) in all the sized particles at the traffic site. The secondary aerosols all displayed trimodal distributions. The aerosols in ultrafine particles collected at the roadside site exhibited Aitken mode distributions indicating they were of local origin. This finding was not observed for those ultrafine particles collected at the rural site. The mass median diameters (MMDs) of the nano, ultrafine, and fine particles were smaller at the traffic site than at the rural site, possibly related to the contribution of mobile engine emissions.
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Affiliation(s)
- Chih-Chung Lin
- Department of Environmental Engineering and Science, National Pingtung University of Science and Technology, 1 Hseuh Fu RD., Nei Pu, PingTung 91201, Taiwan
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Huang XF, Yu JZ, He LY, Yuan Z. Water-soluble organic carbon and oxalate in aerosols at a coastal urban site in China: Size distribution characteristics, sources, and formation mechanisms. ACTA ACUST UNITED AC 2006. [DOI: 10.1029/2006jd007408] [Citation(s) in RCA: 145] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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31
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Yamamoto M. Analysis of Sulfur in Deposited Aerosols by Thermal Decomposition and Sulfur Dioxide Analyzer. Anal Chem 2005; 77:4423-8. [PMID: 16013855 DOI: 10.1021/ac0481093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
A thermal decomposition method that measures aerosol sulfur at the nanogram level directly from the collection substrate is described. A thermal decomposition apparatus was designed. A stainless steel strip was used as the aerosol collection substrate. A 0.1 mol/L MnCl2 solution was added as the thermal decomposition catalyst. Currents were passed through the strip where aerosol particles had been deposited. In this way, the strip was heated at 780 +/- 10 degrees C, and particulate sulfur was evaporated. A sulfur dioxide analyzer (SDA) with flame photometric detector (FPD) was used to detect gaseous sulfur. High sulfur recoveries from (NH4)2SO4 and other inorganic sulfates, such as NH4HSO4, K2SO4, MgSO4, and CaSO4, were obtained. From the sulfur blank and the calibration, a lower limited detection of 0.2 ng of sulfur and the determination range of 3.3-167 ng of sulfur were estimated. The method is effective for measuring the sulfate size distributions of urban aerosols in a small sample air volume of 50-60 L. The method is applicable to measuring the sulfur in aqueous extracts of size-segregated urban aerosols collected by impactor and comparing the results with the sulfate data measured by ion chromatography.
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Affiliation(s)
- Masatoshi Yamamoto
- Hyogo Prefectural Institute of Public Health and Environmental Sciences, 3-1-27 Yukihira-cho, Suma-ku, Kobe, Japan, 654-0037.
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32
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33
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Liu X. Global modeling of aerosol dynamics: Model description, evaluation, and interactions between sulfate and nonsulfate aerosols. ACTA ACUST UNITED AC 2005. [DOI: 10.1029/2004jd005674] [Citation(s) in RCA: 182] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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34
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Alexandrov MD. Separation of fine and coarse aerosol modes in MFRSR data sets. ACTA ACUST UNITED AC 2005. [DOI: 10.1029/2004jd005226] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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35
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Zhang Y. Development and application of the Model of Aerosol Dynamics, Reaction, Ionization, and Dissolution (MADRID). ACTA ACUST UNITED AC 2004. [DOI: 10.1029/2003jd003501] [Citation(s) in RCA: 158] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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36
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Affiliation(s)
- Courtney R Usher
- Department of Chemistry, and Center for Global and Regional Environmental Research, University of Iowa, Iowa City, IA 52242. USA
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37
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Wu YS, Fang GC, Fu PPC, Yang CJ. The measurements of ambient particulates (TSP, PM2.5, PM2.5-10), chemical component concentration variation, and mutagenicity study during 1998-2001 in central Taiwan. JOURNAL OF ENVIRONMENTAL SCIENCE AND HEALTH. PART C, ENVIRONMENTAL CARCINOGENESIS & ECOTOXICOLOGY REVIEWS 2002; 20:45-59. [PMID: 12734053 DOI: 10.1081/gnc-120003928] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
During June 1998 and February 2001, the experiments of this study were conducted at four sampling sites (THUPB, THUC, HKIT and CCRT) with different characters (suburban, rural and traffic). The chemical components (Cl-, Na+, K+, Mg2+, Ca2+, Fe, Zn, Pb, Ni) in suspended particle were also analyzed simultaneously. The particulate mass concentrations are higher in the traffic site (CCRT) than the other sampling sites in this study. This is because that high traffic density flow characterized CCRT sampling site. Besides, the fine particle (PM2.5) concentration was the dominant species out of the total suspended particles in central Taiwan, Taichung. The same phenomenon is found in most of cities around the world. Moreover, chloride, nitrate sulfate and ammonium are higher in Taiwan than other sampling sites in the world. The results also indicated that the control of acidic and secondary aerosol pollutants have become an important issue in Taiwan. In addition, mutagenic assays on the organic extracts of airborne particulates at different sampling sites were also conducted in central Taiwan. The data obtained here also reflected that the mutagenicity of the suspended particulates are significantly higher in winter period than it occurred in summer period.
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Affiliation(s)
- Yuh-Shen Wu
- Air Toxic and Environmental Analysis Laboratory, Hungkuang Institute of Technology, Taichung, 433, Taiwan.
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38
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Lin JJ. Characterization of water-soluble ion species in urban ambient particles. ENVIRONMENT INTERNATIONAL 2002; 28:55-61. [PMID: 12046954 DOI: 10.1016/s0160-4120(02)00004-1] [Citation(s) in RCA: 16] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
Concentrations and distributions of water-soluble ion species contained in ambient particles were measured in a coastal urban area, Kaohsiung City, Taiwan. PM10 and PM2.5 samples were collected using a dichotomous sampler from November 1998 to April 1999 and were analyzed for water-soluble ion species with ion chromatography. On the average, ion species measured in this study accounted for 42.2% of the PM2.5 and 35.7% of the PM10. It was found that SO4(2-) , NO3-, and NH4+ dominated the identifiable components within both fine (PM2.5) and coarse (PM2.5-10) fractions, and occupied 90.0% and 80.6% of total dissolved ionic concentrations for PM2.5 and PM10. The secondary aerosol formed through the NOx/SO2 gas-to-particle conversion was estimated based on the oxidation ratio of sulfur and nitrogen (SOR and NOR, respectively), i.e., sulfate sulfur/nitrate nitrogen to total sulfur/total nitrogen. The average SOR/NOR values were 0.25/0.07 and 0.29/0.12 for PM25 and PM10, respectively. The high SOR and NOR values obtained in this study suggested that there existed a secondary formation of SO4(2-) from SO2 along with NO3- from NOx in the atmosphere.
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Affiliation(s)
- Jim Juimin Lin
- Department of Safety, Health, and Environmental Engineering, National Kaohsiung First University of Science and Technology, Yanchau, Taiwan, ROC.
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39
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Wexler AS. Atmospheric aerosol models for systems including the ions H+, NH4+, Na+, SO42−, NO3−, Cl−, Br−, and H2O. ACTA ACUST UNITED AC 2002. [DOI: 10.1029/2001jd000451] [Citation(s) in RCA: 447] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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40
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Ricard V. Size distributions and modal parameters of aerosol constituents in northern Finland during the European Arctic Aerosol Study. ACTA ACUST UNITED AC 2002. [DOI: 10.1029/2001jd001130] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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41
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Dasgupta PK, Poruthoor SK. Chapter 6 Automated measurement of atmospheric particle composition. ACTA ACUST UNITED AC 2002. [DOI: 10.1016/s0166-526x(02)80043-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/12/2023]
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42
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Birmili W, Wiedensohler A, Heintzenberg J, Lehmann K. Atmospheric particle number size distribution in central Europe: Statistical relations to air masses and meteorology. ACTA ACUST UNITED AC 2001. [DOI: 10.1029/2000jd000220] [Citation(s) in RCA: 160] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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43
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Kleinman MT, Bufalino C, Rasmussen R, Hyde D, Bhalla DK, Mautz WJ. Toxicity of chemical components of ambient fine particulate matter (PM 2.5) inhaled by aged rats. J Appl Toxicol 2000; 20:357-64. [PMID: 11139166 DOI: 10.1002/1099-1263(200009/10)20:5<357::aid-jat699>3.0.co;2-6] [Citation(s) in RCA: 21] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
The toxicity of two important chemical components of fine ambient particulate matter (PM 2.5)-ammonium bisulfate (ABS) and elemental carbon (C)-was studied using aged (senescent) rats. The study tested the hypotheses that fine particle exposure can damage lungs and impair host defenses in aged rats and that ozone would potentiate the toxicity of these particles. Ammonium bisulfate aerosols were generated by nebulization of dilute aqueous solutions. Elemental carbon was generated from an aqueous suspension of carbon black. Carbon and ABS mixtures were generated by nebulization of a suspension of carbon black in a dilute aqueous solution of ABS. Rats were exposed, nose-only, for 4 h a day, three consecutive days a week, for 4 weeks. The rats were exposed to one of six atmospheres: (1) purified air; (2) C, 50 microg m(-3), 0.3 microm mass median aerodynamic diameter (MMAD); (3) ABS, 70 microg m(-3), 0.3 microm MMAD; (4) O3, 0.2 ppm; (5) ABS + C, 0.46 microm MMAD; and (6) ABS + C + O3, 0.45 microm MMAD. Data were analyzed using ANOVA and Tukey multiple comparison tests; a two-tailed significance level of 0.05 was used. The nuclei of lung epithelial and interstitial cells were examined to determine the labeling of the DNA of dividing cells by 5-bromo-2-deoxyuridine and to identify the location of injury-repair-related cell replication. Increased labeling of both epithelial and interstitial lung cells occurred following all pollutant exposures. Although epithelial cells are most likely impacted by inhaled particles first, the adjacent interstitial cells were the cells that showed the greatest degree of response. Exposure to the ABS + C + O3 mixture resulted in losses of lung collagen and increases in macrophage respiratory burst and phagocytic activities that were statistically significant. Our results demonstrate that ozone can increase the toxicity of inhaled particles (or vice versa), and suggest that detailed study of mixtures could provide a more comprehensive understanding of the mechanisms by which inhaled pollutants adversely affect human health.
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Affiliation(s)
- M T Kleinman
- Department of Community and Environmental Medicine, University of California, Irvine 92697-1825, USA.
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44
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Kaneyasu N, Murayama S. High concentrations of black carbon over middle latitudes in the North Pacific Ocean. ACTA ACUST UNITED AC 2000. [DOI: 10.1029/2000jd900240] [Citation(s) in RCA: 38] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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45
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Kaneyasu N, Takeuchi K, Hayashi M, Fujita SI, Uno I, Sasaki H. Outflow patterns of pollutants from East Asia to the North Pacific in the winter monsoon. ACTA ACUST UNITED AC 2000. [DOI: 10.1029/2000jd900138] [Citation(s) in RCA: 49] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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46
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Ha Z, Choy L, Chan CK. Study of water activities of supersaturated aerosols of sodium and ammonium salts. ACTA ACUST UNITED AC 2000. [DOI: 10.1029/1999jd901129] [Citation(s) in RCA: 22] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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47
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Adams PJ, Seinfeld JH, Koch DM. Global concentrations of tropospheric sulfate, nitrate, and ammonium aerosol simulated in a general circulation model. ACTA ACUST UNITED AC 1999. [DOI: 10.1029/1999jd900083] [Citation(s) in RCA: 240] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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48
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Venkataraman C, Kao AS. Comparison of particle lung doses from the fine and coarse fractions of urban PM-10 aerosols. Inhal Toxicol 1999; 11:151-69. [PMID: 10380164 DOI: 10.1080/089583799197221] [Citation(s) in RCA: 42] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
The U.S. Environmental Protection Agency (EPA) recently revised the national ambient air quality standards to include a new PM-2.5 particulate standard. We examine the contributions of fine (PM-2.5) and coarse (PM-2.5 to -10) fraction of typical urban aerosols to particle doses in different lung airways resulting from 24-h exposure to the standard concentration of 150 microg m-3. The aerosol is assumed to have a bimodal lognormal mass distribution with mass median diameters of 0.2 and 5 microm, and geometric standard deviation of 1.7 and 57% of the mass in the fine (PM-2.5) mode. The daily mass dose from exposure to 150 microg m-3 of PM-10 in the nasopharyngeal (NPL) region is 20-51 microg day-1 (1.5% of inhaled fines) and 377-687 microg day-1 (30% of inhaled coarse), respectively, of fine and coarse mass filtered in the nose. Similar daily mass doses from fine and coarse fractions, respectively, to the tracheobronchial (TBL) region are 28-38 (1.5%) and 40-52 (4%) microg day-1 and to the pulmonary (PUL) region are 18-194 (6%) and 32-55 microg day-1 (2%). The daily number dose in the NPL region is 5-15 x 10(8) (0.06% of inhaled fines) and 5-10 x 10(6) day-1 (13% of inhaled coarse) respectively, of fine and coarse particles. Similar number doses to the TBL region are 2.2-3.1 x 10(10) (2%) and 7.1-11. 1 x 10(5) (2%) day-1 and to the PUL region are 1.6-16.7 x 10(10) (9%) and 2.9-17.0 x 10(5) (3%) day-1. The daily surface mass dose (microg cm-2 day-1) from coarse fraction particles is large in generations 3-5. The daily number dose (particles day-1) and surface number dose (particles cm-2 day-1) are higher from the fine than the coarse fraction, by about 10(3) to 10(5) times in all lung airways. Fine fraction particles result in 10,000 times greater particle number dose per macrophage than coarse fraction particles. Particle number doses do not follow trends in mass doses, are much larger from fine than coarse fraction, and must be considered in assessing PM health effects. For the assumed fine fraction ratio of 0.57, the estimated increase in protection from the new PM-2.5 standards is a 25% and 47% lower dose, respectively, at the 24-h and annual standard in comparison with the respective PM-10 standards. The mass fraction in the fine mode depends upon the local sources, will vary with different extents of control of various source types, and will influence the choice of control strategy to meet the revised standard.
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Affiliation(s)
- C Venkataraman
- Center for Environmental Science and Engineering, Indian Institute of Technology, Powai, Mumbai, 400 076, India.
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49
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Kerminen VM, Hillamo RE, Mäkelä T, Jaffrezo JL, Maenhaut W. The physicochemical structure of the Greenland summer aerosol and its relation to atmospheric processes. ACTA ACUST UNITED AC 1998. [DOI: 10.1029/97jd03750] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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50
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