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Guo W, Li Z, Zhang Z, Zhu R, Xiao H, Xiao H. Sources and influences of atmospheric nonpolar organic compounds in Nanchang, central China: Full-year monitoring with a focus on winter pollution episodes. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:169216. [PMID: 38092198 DOI: 10.1016/j.scitotenv.2023.169216] [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: 09/12/2023] [Revised: 12/05/2023] [Accepted: 12/06/2023] [Indexed: 12/17/2023]
Abstract
Nonpolar organic compounds (NPOCs) are found in atmospheric aerosols and have significant implications for environmental and human health. Although many studies have quantitatively estimated the sources of NPOCs in different cities, few have evaluated their main influencing factors (e.g., emissions and meteorological conditions) at relatively long (e.g., different seasons) and short timescales (e.g., several days during pollution episodes). A better understanding of this issue could optimise strategies for dealing with organic contamination in atmospheric particulate matter. NPOCs (including n-alkanes, PAHs and hopanes) in fine particulate matter (PM2.5) were sampled daily at Nanchang, China, from 1 November 2020 to 31 October 2021. Analyses of specific biomarkers and diagnostic ratios indicate that the NPOCs mainly had anthropogenic sources. The quantitative estimates of a positive matrix factorization model show that fossil fuel and biomass combustion were the main sources of n-alkanes (contributing 64.8 %), while vehicle exhaust was the main source of PAHs (47.0 %) and hopanes (52.3 %). Seasonally, the contributions from coal and/or biomass combustion were higher in autumn and winter (40.2-56.3 %) than in spring and summer (25.7-44.3 %), while contributions from natural plants, petroleum volatilization and vehicle exhaust were higher in spring and summer (14.7-63.5 %) than in autumn and winter (8.1-48.9 %). Redundancy analysis shows that increased emissions, especially from coal and/or biomass combustion, are the main cause of increases in NPOCs, during both annual sampling periods and winter pollution episodes. Over the year, higher temperature and longer sunshine hours correspond to lower NPOC concentrations. In winter pollution episodes, increases in temperature and relative humidity correspond to increases in NPOC concentrations. Our results suggest that controlling primary emissions, especially from coal and biomass combustion, may be an effective way to prevent increases in NPOC concentrations.
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Affiliation(s)
- Wei Guo
- School of Water Resources and environmental Engineering, East China University of Technology, Nanchang 330013, China; Jiangxi Province Key Laboratory of the Causes and Control of Atmospheric Pollution, East China University of Technology, Nanchang 330013, China
| | - Zicong Li
- School of Water Resources and environmental Engineering, East China University of Technology, Nanchang 330013, China; Jiangxi Province Key Laboratory of the Causes and Control of Atmospheric Pollution, East China University of Technology, Nanchang 330013, China
| | - Ziyue Zhang
- School of Water Resources and environmental Engineering, East China University of Technology, Nanchang 330013, China; Jiangxi Province Key Laboratory of the Causes and Control of Atmospheric Pollution, East China University of Technology, Nanchang 330013, China
| | - Renguo Zhu
- School of Water Resources and environmental Engineering, East China University of Technology, Nanchang 330013, China; Jiangxi Province Key Laboratory of the Causes and Control of Atmospheric Pollution, East China University of Technology, Nanchang 330013, China
| | - Hongwei Xiao
- School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Huayun Xiao
- School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China.
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Zhang Y, Dai W, Li J, Ho SSH, Li L, Shen M, Wang Q, Cao J. Comprehensive observations of carbonyls of Mt. Hua in Central China: Vertical distribution and effects on ozone formation. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 907:167983. [PMID: 37866597 DOI: 10.1016/j.scitotenv.2023.167983] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 09/21/2023] [Accepted: 10/19/2023] [Indexed: 10/24/2023]
Abstract
Oxygenated volatile organic compounds (OVOCs) play important roles in tropospheric chemistry, regulating the oxidation capacity and ozone (O3) formation potential of the atmosphere. However, the evolution of OVOCs composition during vertical transport from the near surface to the upper atmosphere layer and the roles of OVOCs in the alpine atmospheric O3 formation are still poorly understood. In this study, we investigated the carbonyl compounds, the most important chemical group of OVOCs, and other gaseous pollutants simultaneously collected at the top (2060 m a.s.l, Top) and the foot (402 m a.s.l, Foot) of Mt. Hua in August 2020. The average concentrations of the total quantified carbonyl compounds (∑carbonyls) at the Top and Foot were 16.05 ± 3.69 and 15.32 ± 5.63 ppbv, respectively. Acetone was the most abundant carbonyl (4.19 ± 1.01 ppbv) at the Top, followed by formaldehyde and n-Nonanal, accounting for ∼58.8 % of ∑carbonyls, while formaldehyde (5.40 ± 2.26 ppbv), acetone, and acetaldehyde were the three most abundant species at the Foot, accounting for 64.7 % of ∑carbonyls. The n-Nonanal, acetone and acetaldehyde showed positive correlations between the Top and Foot during daytime, confirming the vertical transport of carbonyls from the foot to the top of Mt. Hua under the influence of valley winds. The direct emissions from vegetation, transport processes of anthropogenic emissions and photochemical oxidation contributed significantly to the measured carbonyls at the Top, especially for acetone. Formaldehyde, acetaldehyde, glyoxal, and methylglyoxal were the most important contributors to the O3 generation in Mt. Hua. This study could advance our understanding of the vertical distribution of the carbonyls and the effects on O3 formation in the alpine region of China.
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Affiliation(s)
- Yifan Zhang
- Key Lab of Aerosol Chemistry & Physics (KLACP), State Key Lab of Loess and Quaternary Geology (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
| | - Wenting Dai
- Key Lab of Aerosol Chemistry & Physics (KLACP), State Key Lab of Loess and Quaternary Geology (SKLLQG), Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China.
| | - Jianjun Li
- Key Lab of Aerosol Chemistry & Physics (KLACP), State Key Lab of Loess and Quaternary Geology (SKLLQG), Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
| | - Steven Sai Hang Ho
- Division of Atmospheric Sciences, Desert Research Institute, NV 89512, United States
| | - Lu Li
- Key Lab of Aerosol Chemistry & Physics (KLACP), State Key Lab of Loess and Quaternary Geology (SKLLQG), Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
| | - Minxia Shen
- Key Lab of Aerosol Chemistry & Physics (KLACP), State Key Lab of Loess and Quaternary Geology (SKLLQG), Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
| | - Qiyuan Wang
- Key Lab of Aerosol Chemistry & Physics (KLACP), State Key Lab of Loess and Quaternary Geology (SKLLQG), Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China; Guanzhong Plain Ecological Environment Change and Comprehensive Treatment National Observation and Research Station, Xi'an 710061, China
| | - Junji Cao
- Key Lab of Aerosol Chemistry & Physics (KLACP), State Key Lab of Loess and Quaternary Geology (SKLLQG), Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China; Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
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3
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Vincenti B, Paris E, Carnevale M, Palma A, Guerriero E, Borello D, Paolini V, Gallucci F. Saccharides as Particulate Matter Tracers of Biomass Burning: A Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:4387. [PMID: 35410070 PMCID: PMC8998709 DOI: 10.3390/ijerph19074387] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 04/01/2022] [Accepted: 04/02/2022] [Indexed: 11/22/2022]
Abstract
The adverse effects of atmospheric particulate matter (PM) on health and ecosystems, as well as on meteorology and climate change, are well known to the scientific community. It is therefore undeniable that a good understanding of the sources of PM is crucial for effective control of emissions and to protect public health. One of the major contributions to atmospheric PM is biomass burning, a practice used both in agriculture and home heating, which can be traced and identified by analyzing sugars emitted from the combustion of cellulose and hemicellulose that make up biomass. In this review comparing almost 200 selected articles, we highlight the most recent studies that broaden such category of tracers, covering research publications on residential wood combustions, open-fire or combustion chamber burnings and ambient PM in different regions of Asia, America and Europe. The purpose of the present work is to collect data in the literature that indicate a direct correspondence between biomass burning and saccharides emitted into the atmosphere with regard to distinguishing common sugars attributed to biomass burning from those that have co-causes of issue. In this paper, we provide a list of 24 compounds, including those most commonly recognized as biomass burning tracers (i.e., levoglucosan, mannosan and galactosan), from which it emerges that monosaccharide anhydrides, sugar alcohols and primary sugars have been widely reported as organic tracers for biomass combustion, although it has also been shown that emissions of these compounds depend not only on combustion characteristics and equipment but also on fuel type, combustion quality and weather conditions. Although it appears that it is currently not possible to define a single compound as a universal indicator of biomass combustion, this review provides a valuable tool for the collection of information in the literature and identifies analytes that can lead to the determination of patterns for the distribution between PM generated by biomass combustion.
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Affiliation(s)
- Beatrice Vincenti
- Council for Agricultural Research and Economics (CREA), Center of Engineering and Agro-Food Processing, Via della Pascolare 16, 00015 Monterotondo, Italy; (B.V.); (E.P.); (M.C.); (F.G.)
| | - Enrico Paris
- Council for Agricultural Research and Economics (CREA), Center of Engineering and Agro-Food Processing, Via della Pascolare 16, 00015 Monterotondo, Italy; (B.V.); (E.P.); (M.C.); (F.G.)
| | - Monica Carnevale
- Council for Agricultural Research and Economics (CREA), Center of Engineering and Agro-Food Processing, Via della Pascolare 16, 00015 Monterotondo, Italy; (B.V.); (E.P.); (M.C.); (F.G.)
| | - Adriano Palma
- Council for Agricultural Research and Economics (CREA), Center of Engineering and Agro-Food Processing, Via della Pascolare 16, 00015 Monterotondo, Italy; (B.V.); (E.P.); (M.C.); (F.G.)
| | - Ettore Guerriero
- National Research Council of Italy, Institute of Atmospheric Pollution Research (CNR-IIA), Via Salaria km 29,300, 00015 Monterotondo, Italy; (E.G.); (V.P.)
| | - Domenico Borello
- Department of Mechanical and Aerospace Engineering, Sapienza University of Rome, Via Eudossiana 18, 00184 Rome, Italy;
| | - Valerio Paolini
- National Research Council of Italy, Institute of Atmospheric Pollution Research (CNR-IIA), Via Salaria km 29,300, 00015 Monterotondo, Italy; (E.G.); (V.P.)
| | - Francesco Gallucci
- Council for Agricultural Research and Economics (CREA), Center of Engineering and Agro-Food Processing, Via della Pascolare 16, 00015 Monterotondo, Italy; (B.V.); (E.P.); (M.C.); (F.G.)
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Marynowski L, Simoneit BRT. Saccharides in atmospheric particulate and sedimentary organic matter: Status overview and future perspectives. CHEMOSPHERE 2022; 288:132376. [PMID: 34600018 DOI: 10.1016/j.chemosphere.2021.132376] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Revised: 09/14/2021] [Accepted: 09/25/2021] [Indexed: 06/13/2023]
Abstract
Saccharides are omnipresent compounds in terrestrial and marine ecosystems. Since the 2000s, their role in environmental and geochemical studies has significantly increased, but only anhydrosaccharides (mainly levoglucosan) have been reviewed. Here we present the wider knowledge about saccharides in organic matter of aerosols, bottom sediments, soils, dust, and sedimentary rocks. The main purpose here is to characterize the possible sources of saccharides, as well as sacharol formation, seasonal variability, and the possible applications in environmental and paleoenvironmental interpretations. Different saccharide sources were designated, including biomass burning, and particulate matter such as pollen, spores, lichen, and fungi, as well as polysaccharide decomposition as possible inputs of monosaccharides. The main focus was on the most common saccharides encountered in environmental samples and sedimentary rocks. These are the mono- and disaccharides glucose, fructose, sucrose, and trehalose, and sacharols arabitol and mannitol. The anhydrosaccharides levoglucosan, mannosan, and galactosan were evaluated as ancient wildfire indicators and industrialization tracers found in lacustrine sediments starting from Pleistocene to contemporary deposits. However, other anhydrosaccharides like xylosan and arabinosan were also found as products of fossil wood burning. These anhydrosaccharides have the potential to be further tracers of hemicellulose burning. Additional recommendations are proposed for future research, including environmental and paleoenvironmental topics that need to be addressed.
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Affiliation(s)
- Leszek Marynowski
- Faculty of Earth Sciences, University of Silesia in Katowice, Ul., Będzińska 60, 41-200, Sosnowiec, Poland.
| | - Bernd R T Simoneit
- Department of Chemistry, College of Science, Oregon State University, Corvallis, OR, 97331, USA
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Zhang D, Ren H, Hu W, Wu L, Ren L, Deng J, Zhang Q, Sun Y, Wang Z, Kawamura K, Fu P. Latitudinal difference in the molecular distributions of lipid compounds in the forest atmosphere in China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 294:118578. [PMID: 34843855 DOI: 10.1016/j.envpol.2021.118578] [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: 10/18/2021] [Revised: 11/17/2021] [Accepted: 11/24/2021] [Indexed: 06/13/2023]
Abstract
Lipids are important biogenic markers to indicate the sources and chemical process of aerosol particles in the atmosphere. To better understand the influences of biogenic and anthropogenic sources on forest aerosols, total suspended particles (TSP) were collected at Mt. Changbai, Shennongjia, and Xishuangbanna that are located at different climatic zones in northeastern, central and southwestern China. n-Alkanes, fatty acids and n-alcohols were detected in the forest aerosols based on gas chromatography-mass spectrometry. The total concentrations of aliphatic compounds ranged from 15.3 ng m-3 to 566 ng m-3, and fatty acids were the most abundant (44-95%) followed by n-alkanes and n-alcohols. Low molecular weight- (LFAs) and unsaturated fatty acids (UnFAs) showed diurnal variation with higher concentrations during the nighttime in summer, indicating the potential impact from microbial activities on forest aerosols. The differences of oleic acid (C18:1) and linoleic acid (C18:2) concentrations between daytime and nighttime increased at lower latitude, indicating more intense photochemical degradation occurred at lower latitude regions. High levels of n-alkanes during daytime in summer with higher values of carbon preference indexes, combining the strong odd carbon number predominance with a maximum at C27 or C29, implied the high contributions of biogenic sources, e.g., higher plant waxes. In contrast, higher concentrations of low molecular weight n-alkanes were detected in winter forest aerosols. Levoglucosan showed a positive correlation (R2 > 0.57) with high- and low molecular weight aliphatic compounds in Mt. Changbai, but such a correlation was not observed in Shennongjia and Xishuangbanna. These results suggest the significant influence of biomass burning in Mt. Changbai, and fossil fuel combustion might be another important anthropogenic source of forest aerosols. This study adds useful information to the current understanding of forest organic aerosols at different geographical locations in China.
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Affiliation(s)
- Donghuan Zhang
- School of Earth System Science, Tianjin University, Tianjin, 300072, China
| | - Hong Ren
- School of Earth System Science, Tianjin University, Tianjin, 300072, China; Air Environmental Modeling and Pollution Controlling Key Laboratory of Sichuan Higher Education Institute, Chengdu University of Information Technology, Chengdu, 610225, China
| | - Wei Hu
- School of Earth System Science, Tianjin University, Tianjin, 300072, China
| | - Libin Wu
- School of Earth System Science, Tianjin University, Tianjin, 300072, China
| | - Lujie Ren
- School of Earth System Science, Tianjin University, Tianjin, 300072, China
| | - Junjun Deng
- School of Earth System Science, Tianjin University, Tianjin, 300072, China
| | - Qiang Zhang
- School of Earth System Science, Tianjin University, Tianjin, 300072, China
| | - Yele Sun
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China
| | - Zifa Wang
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China
| | - Kimitaka Kawamura
- Chubu Institute for Advanced Studies, Chubu University, Kasugai, 487-8501, Japan
| | - Pingqing Fu
- School of Earth System Science, Tianjin University, Tianjin, 300072, China.
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6
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Zeng X, Kong S, Zhang Q, Ren H, Liu J, Feng Y, Yan Q, Qin S, Zheng S, Yao L, Fan Z, Zhang Y, Liu X, Yan Y, Zhu K, Ding F, Liu W, Liu D, Qi S, Fu P. Source profiles and emission factors of organic and inorganic species in fine particles emitted from the ultra-low emission power plant and typical industries. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 789:147966. [PMID: 34058574 DOI: 10.1016/j.scitotenv.2021.147966] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 05/10/2021] [Accepted: 05/19/2021] [Indexed: 06/12/2023]
Abstract
Accurate source markers, source profiles and species-based emission factors (EFs) are currently the key limitations for source apportionment and emission inventory researches. Fine particles (PM2.5) were collected from stack gases of eight types of stationary sources with a dilution sampling system. The mass percentages and EFs of 89 kinds of chemical species in PM2.5 including water-soluble ions, elements, carbonaceous species and molecular organic species were obtained. Results showed that water-soluble ions (8%-54%) and elements (5%-45%) were the dominant chemical species. Palmitic acid (0.19%-0.62%) and stearic acid (0.21%-0.59%) were the most abundant organic species. PM2.5 source profiles of the eight sources were different from each other with the coefficient of divergence values all higher than 0.4. The addition of organic species could help to further distinguish them. The indicatory chemical components and specific species ratios were obtained by both a statistical equation and randomForest. These indicatory chemical components (e.g. F- for glass factory) and species ratios (e.g. K+/Mg2+ & OC/Mg for pharmaceutical factory) improved the current knowledges of their indicatory performance in source identification of ambient PM2.5. The EFs of PM2.5 from the eight stationary sources ranged from 0.019 to 51.6 kg t-1 of fuel used. The EFs of PM2.5 from the pharmaceutical factory were about 70-2600 times higher than other seven types of sources due to the lack of dust-removing devices. Certain EFs measured in this study were about 10-36,000 times lower than corresponding EFs estimated in previous studies which didn't perform field measurements, indicating the necessity for improving emission inventories continuously. This study contributes to identifying emission sources of PM2.5 especially for subtypes of stationary sources and to establishing species-based emission inventories.
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Affiliation(s)
- Xin Zeng
- Department of Atmospheric Sciences, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China; Department of Environmental Science and Technology, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China
| | - Shaofei Kong
- Department of Atmospheric Sciences, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China; Department of Environmental Science and Technology, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China.
| | - Qiang Zhang
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China
| | - Hong Ren
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China
| | - Jinhong Liu
- Department of Atmospheric Sciences, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China; Department of Environmental Science and Technology, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China
| | - Yunkai Feng
- Department of Atmospheric Sciences, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China; Department of Environmental Science and Technology, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China
| | - Qin Yan
- Department of Atmospheric Sciences, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China; Department of Environmental Science and Technology, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China
| | - Si Qin
- Department of Environmental Science and Technology, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China
| | - Shurui Zheng
- Department of Atmospheric Sciences, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China; Department of Environmental Science and Technology, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China
| | - Liquan Yao
- Department of Atmospheric Sciences, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China; Department of Environmental Science and Technology, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China
| | - Zewei Fan
- Department of Atmospheric Sciences, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China
| | - Ying Zhang
- Department of Atmospheric Sciences, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China
| | - Xi Liu
- Department of Environmental Science and Technology, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China
| | - Yingying Yan
- Department of Atmospheric Sciences, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China
| | - Kuanguang Zhu
- Hubei Academy of Environmental Sciences, Wuhan 430074, China
| | - Feng Ding
- Hubei Academy of Environmental Sciences, Wuhan 430074, China
| | - Wei Liu
- Hubei Academy of Environmental Sciences, Wuhan 430074, China
| | - Dantong Liu
- Department of Atmospheric Sciences, School of Earth Sciences, Zhejiang University, Hangzhou 310058, China
| | - Shihua Qi
- Department of Environmental Science and Technology, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China
| | - Pingqing Fu
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China.
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Yi Y, Meng J, Hou Z, Wang G, Zhou R, Li Z, Li Y, Chen M, Liu X, Li H, Yan L. Contrasting compositions and sources of organic aerosol markers in summertime PM 2.5 from urban and mountainous regions in the North China Plain. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 766:144187. [PMID: 33418249 DOI: 10.1016/j.scitotenv.2020.144187] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Revised: 11/24/2020] [Accepted: 11/27/2020] [Indexed: 06/12/2023]
Abstract
Although the chemical compositions and sources of organic aerosols (OAs) have been extensively investigated at the summit of Mt. Tai in the North China Plain (NCP), their vertical distributions and characterizations in the Mt. Tai region is not well known. To better understand the vertical variations of OAs in the urban and mountainous atmosphere, PM2.5 samples were collected simultaneously on a daytime/nighttime basis at two sites of different altitudes (Taian urban site: 20 m above ground; the summit of Mt. Tai: 1534 m a.s.l.) during the summer of 2016. The concentrations of all the determined chemical compounds (e.g., OC, EC, inorganic ions, saccharides, n-alkanes, PAHs and hopanes) except for biogenic secondary organic aerosol (BSOA) tracers decreased with the increase in sampling height, indicating the relatively larger contribution of anthropogenic pollutants to OAs at the lower heights. The relatively low concentration levels of biomass burning tracers (e.g., levoglucosan, galactosan and mannosan) and the insignificant correlations of levoglucosan with carbonaceous species demonstrated a negligible effect of biomass burning on the mountaintop atmosphere. The enhanced concentrations of BSOA tracers were observed with the increase of height, largely due to the more intensive secondary oxidation of volatile organic compounds (VOCs) under the stronger radiation conditions at the summit. The daytime concentrations of carbonaceous species, primary sugars, sugar alcohols, PAHs and low molecular weight n-alkanes were significantly higher than those in nighttime at Mt. Tai, suggesting that these chemical compounds at the summit of Mt.Tai aerosols were transported from the ground surface by valley breezes in daytime. There was no correlation between BSOA tracers and relative humidity (RH) or liquid water content (LWC) at both the sites, because both the high RH and LWC can suppress the acid-catalyzed formation of BSOA due to the dilution of the aerosol acidity.
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Affiliation(s)
- Yanan Yi
- School of Environment and Planning, Liaocheng University, Liaocheng 252000, China
| | - Jingjing Meng
- School of Environment and Planning, Liaocheng University, Liaocheng 252000, China.
| | - Zhanfang Hou
- School of Environment and Planning, Liaocheng University, Liaocheng 252000, China
| | - Gehui Wang
- Key Laboratory of Geographic Information Science of the Ministry of Education, School of Geographic Sciences, East China Normal University, Shanghai 200062, China
| | - Ruiwen Zhou
- School of Environment and Planning, Liaocheng University, Liaocheng 252000, China
| | - Zheng Li
- School of Environment and Planning, Liaocheng University, Liaocheng 252000, China
| | - Yuanyuan Li
- School of Environment and Planning, Liaocheng University, Liaocheng 252000, China
| | - Min Chen
- School of Environment and Planning, Liaocheng University, Liaocheng 252000, China
| | - Xiaodi Liu
- School of Environment and Planning, Liaocheng University, Liaocheng 252000, China; Key Laboratory of Geographic Information Science of the Ministry of Education, School of Geographic Sciences, East China Normal University, Shanghai 200062, China
| | - Hongji Li
- College of Environmental Science and Engineering, Jilin Normal University, Siping 136000, China
| | - Li Yan
- Chinese Academy for Environmental Planning, Beijing 100012, China
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Deng J, Gao Y, Zhu J, Li L, Yu S, Kawamura K, Fu P. Molecular markers for fungal spores and biogenic SOA over the Antarctic Peninsula: Field measurements and modeling results. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 762:143089. [PMID: 33160669 DOI: 10.1016/j.scitotenv.2020.143089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Revised: 10/07/2020] [Accepted: 10/12/2020] [Indexed: 06/11/2023]
Abstract
Biogenic organic aerosols are important components of atmospheric organic aerosols and play vital roles in atmospheric chemistry, global climate, and biogeochemical cycles of carbon. However, studies on biogenic organic aerosols in the vast regions of the Southern Ocean and over the coastal waters of the Antarctic, especially Antarctic Peninsula, are still extremely limited. To understand the concentrations, molecular composition and seasonality of biogenic organic aerosols in Antarctica, atmospheric aerosols were collected at the Palmer Station on the west Antarctic Peninsula experiencing dramatic climate warming. Molecular marker compounds of fungal spores and secondary organic aerosols formed from the photooxidation of isoprene and monoterpene were analyzed using gas chromatography/mass spectrometry. Concentrations of sugar alcohols and biogenic SOA tracers both presented seasonal patterns with higher average concentrations in summer (90.7 and 122 pg m-3) than in winter (8.88 and 57.2 pg m-3). Sugar alcohols and biogenic SOA tracers were predominated by mannitol and isoprene oxidation products. Relative contributions of fungal-spore organic carbon (OC), isoprene-derived secondary OC (SOC) and monoterpene-derived SOC estimated with tracer-based methods were 26.2%, 55.6% and 18.2%, respectively. The observed seasonality of total biogenic SOA and some molecular species at the Antarctic Peninsula was further supported by the results from the global model CESM/IMPACT. Model results also suggest higher biogenic SOA in East Antarctica than that in West Antarctica, which is attributed to the influence of vertical atmospheric circulation. Our results of air-mass trajectory indicate the potential influence of marine emissions on the biogenic organic aerosols over the Antarctic Peninsula.
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Affiliation(s)
- Junjun Deng
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China
| | - Yuan Gao
- Department of Earth and Environmental Science, Rutgers University, Newark, NJ 07102, USA.
| | - Jialei Zhu
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China
| | - Linjie Li
- LAPC, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; Department of Chemistry and Molecular Biology, University of Gothenburg, Gothenburg 41296, Sweden
| | - Shun Yu
- Department of Earth and Environmental Science, Rutgers University, Newark, NJ 07102, USA
| | - Kimitaka Kawamura
- Chubu Institute for Advanced Studies, Chubu University, Kasugai 487-8501, Japan
| | - Pingqing Fu
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China.
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9
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Yuan Q, Teng X, Tu S, Feng B, Wu Z, Xiao H, Cai Q, Zhang Y, Lin Q, Liu Z, He M, Ding X, Li W. Atmospheric fine particles in a typical coastal port of Yangtze River Delta. J Environ Sci (China) 2020; 98:62-70. [PMID: 33097159 DOI: 10.1016/j.jes.2020.05.026] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2020] [Revised: 05/22/2020] [Accepted: 05/24/2020] [Indexed: 05/24/2023]
Abstract
In recent decades, coastal ports have experienced rapid development and become an important economic and ecological hub in China. Atmospheric particle is a research hotspot in atmospheric environmental sciences in inland regions. However, few studies on the atmospheric particle were conducted in coastal port areas in China, which indeed suffers atmospheric particle pollution. Lack of the physicochemical characteristics of fine particles serves as an obstacle toward the accurate control for air pollution in the coastal port area in China. Here, a field observation was conducted in an important coastal port city in Yangtze River Delta from March 6 to March 19, 2019. The average PM2.5 concentration was 63.7 ± 27.8 μg/m3 and NO3-, SO42-, NH4+, and organic matter accounted for ~60% of PM2.5. Fe was the most abundant trace metal element and V as the ship emission indicator was detected. Transmission electron microscopy images showed that SK-rich, soot, Fe, SK-soot and SK-Fe were the major individual particles in the coastal port. V and soluble Fe were detected in sulfate coating of SK-Fe particles. We found that anthropogenic emissions, marine sea salt, and secondary atmosphere process were the major sources of fine particles. Backward trajectory analysis indicated that the dominant air masses were marine air mass, inland air mass from northern Zhejiang and inland-marine mixed air mass from Shandong and Shanghai during the sampling period. The findings can help us better understand the physicochemical properties of atmospheric fine particles in the coastal port of Eastern China.
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Affiliation(s)
- Qi Yuan
- Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province, Department of Atmospheric Sciences, School of Earth Sciences, Zhejiang University, Hangzhou 310027, China.
| | - Xiaomi Teng
- Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province, Department of Atmospheric Sciences, School of Earth Sciences, Zhejiang University, Hangzhou 310027, China
| | - Shaoxuan Tu
- Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province, Department of Atmospheric Sciences, School of Earth Sciences, Zhejiang University, Hangzhou 310027, China
| | - Binxin Feng
- Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province, Department of Atmospheric Sciences, School of Earth Sciences, Zhejiang University, Hangzhou 310027, China
| | - Zhiyu Wu
- Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province, Department of Atmospheric Sciences, School of Earth Sciences, Zhejiang University, Hangzhou 310027, China
| | - Hang Xiao
- Center for Excellence in Regional Atmospheric Environment & Key Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; Key Laboratory of Urban Environmental Processes and Pollution Control of Zhejiang Province, Ningbo Urban Environment Observation and Research Station, Chinese Academy of Sciences, Ningbo 315830, China
| | - Qiuliang Cai
- Key Laboratory of Urban Environmental Processes and Pollution Control of Zhejiang Province, Ningbo Urban Environment Observation and Research Station, Chinese Academy of Sciences, Ningbo 315830, China
| | - Yinxiao Zhang
- Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province, Department of Atmospheric Sciences, School of Earth Sciences, Zhejiang University, Hangzhou 310027, China
| | - Qiuhan Lin
- Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province, Department of Atmospheric Sciences, School of Earth Sciences, Zhejiang University, Hangzhou 310027, China
| | - Zhaoce Liu
- School of Earth Science and Engineering, Hebei University of Engineering, Handan 056038, China
| | - Mengmeng He
- Key Laboratory of Urban Environmental Processes and Pollution Control of Zhejiang Province, Ningbo Urban Environment Observation and Research Station, Chinese Academy of Sciences, Ningbo 315830, China
| | - Xiaokun Ding
- Department of Chemistry, Zhejiang University, Hangzhou 310027, China
| | - Weijun Li
- Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province, Department of Atmospheric Sciences, School of Earth Sciences, Zhejiang University, Hangzhou 310027, China
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10
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Michailoudi G, Hyttinen N, Kurtén T, Prisle NL. Solubility and Activity Coefficients of Atmospheric Surfactants in Aqueous Solution Evaluated Using COSMO therm. J Phys Chem A 2020; 124:430-443. [PMID: 31829596 DOI: 10.1021/acs.jpca.9b09780] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Fatty acids (CH3(CH2)n-2COOH) and their salts are an important class of atmospheric surfactants. Here, we use COSMOtherm to predict solubility and activity coefficients for C2-C12 fatty acids with even number of carbon atoms and their sodium salts in binary water solutions and also in ternary water-inorganic salt solutions. COSMOtherm is a continuum solvent model implementation which can calculate properties of complex systems using quantum chemistry and thermodynamics. Calculated solubility values of the organic acids in pure water are in good agreement with reported experimental values. The comparison of the COSMOtherm-derived Setschenow constants for ternary solutions comprising NaCl with the corresponding experimental values from the literature shows that COSMOtherm overpredicts the salting out effect in all cases except for the solutions of acetic acid. The calculated activity and mean activity coefficients of fatty acids and fatty acid sodium salts, respectively, show deviation of the systems from ideal solution. The computed mean activity coefficients of the fatty acid salts in binary systems are in better agreement with experimentally derived values for the organic salts with longer aliphatic chain (C8-C10). The deviation of the solutions from ideality could lead to biased estimations of cloud condensation nuclei number concentrations if not considered in Köhler calculations and cloud microphysics.
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Affiliation(s)
- Georgia Michailoudi
- Nano and Molecular Systems Research Unit , University of Oulu , P.O. Box 3000, FI-90014 Oulu , Finland
| | - Noora Hyttinen
- Nano and Molecular Systems Research Unit , University of Oulu , P.O. Box 3000, FI-90014 Oulu , Finland.,Department of Chemistry and Institute for Atmospheric and Earth System Research (INAR) , University of Helsinki , P.O. Box 55, FI-00014 Helsinki , Finland
| | - Theo Kurtén
- Department of Chemistry and Institute for Atmospheric and Earth System Research (INAR) , University of Helsinki , P.O. Box 55, FI-00014 Helsinki , Finland
| | - Nønne L Prisle
- Nano and Molecular Systems Research Unit , University of Oulu , P.O. Box 3000, FI-90014 Oulu , Finland
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