scholarly journals Aerosols chemical composition, light extinction, and source apportionment near a desert margin city, Yulin, China

PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e8447 ◽  
Author(s):  
Yali Lei ◽  
Zhenxing Shen ◽  
Zhuoyue Tang ◽  
Qian Zhang ◽  
Jian Sun ◽  
...  
Keyword(s):  
Source Apportionment ◽  
Coal Combustion ◽  
Vehicle Emissions ◽  
Principal Component ◽  
Water Soluble ◽  
Light Extinction ◽  
Potential Contribution ◽  
Light Extinction Coefficient ◽  
Soluble Ions ◽  
Chemical Profiles

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. bext (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 SO42−/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.

scholarly journals Seasonal Variation and Source Apportionment of Inorganic and Organic Components in PM2.5: Influence of Organic Markers Application on PMF Source Apportionment

2022 ◽  
Author(s):  
Qianqian Xue ◽  
Ying-Ze Tian ◽  
Yang Wei ◽  
Danlin Song ◽  
Fengxia Huang ◽  
...  
Keyword(s):  
Source Apportionment ◽  
Coal Combustion ◽  
Water Soluble ◽  
Secondary Source ◽  
Positive Correlation ◽  
Diesel Vehicles ◽  
Soluble Ions ◽  
Organic Markers ◽  
Polycyclic Aromatic ◽  
Cu And Zn

Abstract PM2.5 samples collected over a 1-year period in a Chinese megacity were analyzed for organic carbon (OC), elemental carbon (EC), water soluble ions, elements and organic markers such as polycyclic aromatic hydrocarbons (PAHs), hopanes, steranes, and n-alkanes. In order to study the applicability of organic markers in source apportionment, this study analyzes the relationship between organic and inorganic components, and four scenarios were implemented by incorporating different combinations of organic and inorganic tracers. A positive correlation of SO42− with 4 rings PAHs can prove that coal burning directly emits a portion of sulfate. A positive correlation of NO3− with 5-7 rings PAHs are found, implying collective impacts from the vehicle source. The concentrations of OC and EC positively correlate with the 5-7 rings PAHs and Cu and Zn, which proves that part of Cu and Zn comes from vehicle emissions. Five factors were identified by incorporating only conventional components, including secondary source (SS, 30%), urban fugitive dust (UFD, 14%), cement dust (CD, 4%), traffic source (TS, 19%) and coal combustion (CC, 14%). Six factors were identified by incorporating conventional components and PAHs, including SS (28%), UFD (15%), CD (4%), CC (13%), gasoline vehicles (GV, 12%) and diesel vehicles (DV, 10%). Eight factors were identified by incorporating conventional components, PAHs, hopanes, and n-alkanes, including SS (26%), UFD (17%), CD (3%), GV (14%), DV (8%), immature coal combustion (ICC, 5%), mature coal combustion (MCC, 10%) and biogenic source (BS, 1%).

Measurement of PM2.5 and Water-Soluble Ions at Central Tokyo, Japan and Source Apportionment

2016 ◽  
Vol 2 (2) ◽  
pp. 71-78
Author(s):  
Yoshika Sekine ◽  
◽  
Nami Takahashi ◽  
Yuri Ohkoshi ◽  
Akihiro Takemasa ◽  
...  
Keyword(s):  
Source Apportionment ◽  
Water Soluble ◽  
Soluble Ions ◽  
Water Soluble Ions

scholarly journals Characterization of Ambient Particulate Matters in an Industry-Intensive Area in Central Taiwan

Atmosphere ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 926
Author(s):  
Hsing-Wang Li ◽  
Kang-Shin Chen ◽  
Chia-Hsiang Lai ◽  
Ting-Yu Chen ◽  
Yi-Ching Lin ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Water Soluble ◽  
High Tech ◽  
Particulate Matters ◽  
Metallic Elements ◽  
Soluble Ions ◽  
Water Soluble Ions ◽  
Central Taiwan

Atmospheric particulate matters (PMs) were measured in an industry-intensive region in central Taiwan in order to investigate the characteristics and possible sources of PMs. The samplings were simultaneously conducted using a 10- and 3-stage Micro Orifice Uniform Deposit Impactor (MOUDI) from 2017 to 2018. In this study, the characteristics of PMs in this region were evaluated by measuring the mass concentration of PMs and analyzing water-soluble ions and metallic elements, as well as dioxins. Additionally, principal component analysis (PCA) was used to identify the potential sources of PMs. The results showed that the mean concentration of coarse (>1.8 μm), fine (0.1–1.8 μm), and ultrafine (<0.1 μm) particles were 13.60, 14.38, and 3.44 μg/m3, respectively. In the industry-intensive region, the size distribution of ambient particles showed a bi-modal distribution with a high concentration of coarse particles in the spring and summer, while fine particles were dominant in the autumn and winter. The most abundant water-soluble ions of PMs were NO3−, Cl−, and SO42−, while the majority of metallic elements were Na, Fe, Ca, Al, and Mg in different particle sizes. The results of Pearson’s correlation analysis for metals indicated that the particles in the collected air samples were related to the iron and steelmaking industries, coal burning, vehicle exhausts, and high-tech industries. The dioxin concentration ranged from 0.0006 to 0.0017 pg I-TEQ/Nm3. Principal component analysis (PCA) revealed that the contribution to PMs was associated with sea salt, secondary pollutants, and industrial process.

scholarly journals Sources and formation of carbonaceous aerosols in Xi'an, China: primary emissions and secondary formation constrained by radiocarbon

2020 ◽  
Author(s):  
Haiyan Ni ◽  
Ru-Jin Huang ◽  
Ulrike Dusek
Keyword(s):  
Biomass Burning ◽  
Coal Combustion ◽  
Vehicle Emissions ◽  
Fossil Fuel ◽  
Fuel Combustion ◽  
Warm Period ◽  
Water Soluble ◽  
Formation Mechanisms ◽  
Carbonaceous Aerosols ◽  
Fossil Fuel Combustion

&lt;p&gt;To investigate the sources and formation mechanisms of carbonaceous aerosols, a major contributor to severe particulate air pollution, radiocarbon&amp;#160;(&lt;span&gt;&lt;sup&gt;14&lt;/sup&gt;C&lt;/span&gt;) measurements were conducted on aerosols sampled from November&amp;#160;2015 to November&amp;#160;2016 in Xi'an, China. Based on the&amp;#160;&lt;span&gt;&lt;sup&gt;14&lt;/sup&gt;C&lt;/span&gt;&amp;#160;content in elemental carbon&amp;#160;(EC), organic carbon&amp;#160;(OC) and water-insoluble OC&amp;#160;(WIOC), contributions of major sources to carbonaceous aerosols are estimated over a whole seasonal cycle: primary and secondary fossil sources, primary biomass burning, and other non-fossil carbon formed mainly from secondary processes. Primary fossil sources of&amp;#160;EC were further sub-divided into coal and liquid fossil fuel combustion by complementing&amp;#160;&lt;span&gt;&lt;sup&gt;14&lt;/sup&gt;C&lt;/span&gt;&amp;#160;data with stable carbon isotopic signatures.&lt;/p&gt;&lt;p&gt;The dominant EC&amp;#160;source was liquid fossil fuel combustion (i.e., vehicle emissions), accounting for 64&amp;#8201;% (median; 45&amp;#8201;%&amp;#8211;74&amp;#8201;%, interquartile range) of&amp;#160;EC in autumn, 60&amp;#8201;% (41&amp;#8201;%&amp;#8211;72&amp;#8201;%) in summer, 53&amp;#8201;% (33&amp;#8201;%&amp;#8211;69&amp;#8201;%) in spring and 46&amp;#8201;% (29&amp;#8201;%&amp;#8211;59&amp;#8201;%) in winter. An increased contribution from biomass burning to&amp;#160;EC was observed in winter (&lt;span&gt;&amp;#8764;28&lt;/span&gt;&amp;#8201;%) compared to other seasons (warm period;&amp;#160;&lt;span&gt;&amp;#8764;15&lt;/span&gt;&amp;#8201;%). In winter, coal combustion (&lt;span&gt;&amp;#8764;25&lt;/span&gt;&amp;#8201;%) and biomass burning equally contributed to&amp;#160;EC, whereas in the warm period, coal combustion accounted for a larger fraction of&amp;#160;EC than biomass burning. The relative contribution of fossil sources to&amp;#160;OC was consistently lower than that to&amp;#160;EC, with an annual average of&amp;#160;&lt;span&gt;47&amp;#177;4&lt;/span&gt;&amp;#8201;%. Non-fossil OC&amp;#160;of secondary origin was an important contributor to total&amp;#160;OC (&lt;span&gt;35&amp;#177;4&lt;/span&gt;&amp;#8201;%) and accounted for more than half of non-fossil&amp;#160;OC (&lt;span&gt;67&amp;#177;6&lt;/span&gt;&amp;#8201;%) throughout the year. Secondary fossil&amp;#160;OC&amp;#160;(SOC&lt;span&gt;&lt;sub&gt;fossil&lt;/sub&gt;&lt;/span&gt;) concentrations were higher than primary fossil&amp;#160;OC&amp;#160;(POC&lt;span&gt;&lt;sub&gt;fossil&lt;/sub&gt;&lt;/span&gt;) concentrations in winter but lower than POC&lt;span&gt;&lt;sub&gt;fossil&lt;/sub&gt;&lt;/span&gt;&amp;#160;in the warm period.&lt;/p&gt;&lt;p&gt;Fossil WIOC and water-soluble&amp;#160;OC&amp;#160;(WSOC) have been widely used as proxies for POC&lt;span&gt;&lt;sub&gt;fossil&lt;/sub&gt;&lt;/span&gt;&amp;#160;and SOC&lt;span&gt;&lt;sub&gt;fossil&lt;/sub&gt;&lt;/span&gt;, respectively. This assumption was evaluated by (1)&amp;#160;comparing their mass concentrations with POC&lt;span&gt;&lt;sub&gt;fossil&lt;/sub&gt;&lt;/span&gt;&amp;#160;and SOC&lt;span&gt;&lt;sub&gt;fossil&lt;/sub&gt;&lt;/span&gt;&amp;#160;and (2)&amp;#160;comparing ratios of fossil WIOC to fossil&amp;#160;EC to typical primary&amp;#160;OC-to-EC ratios from fossil sources including both coal combustion and vehicle emissions. The results suggest that fossil WIOC and fossil WSOC are probably a better approximation for primary and secondary fossil&amp;#160;OC, respectively, than POC&lt;span&gt;&lt;sub&gt;fossil&lt;/sub&gt;&lt;/span&gt;&amp;#160;and SOC&lt;span&gt;&lt;sub&gt;fossil&lt;/sub&gt;&lt;/span&gt;&amp;#160;estimated using the EC&amp;#160;tracer method.&lt;/p&gt;

scholarly journals Sources and formation of carbonaceous aerosols in Xi'an, China: primary emissions and secondary formation constrained by radiocarbon

2019 ◽  
Vol 19 (24) ◽  
pp. 15609-15628 ◽  
Author(s):  
Haiyan Ni ◽  
Ru-Jin Huang ◽  
Junji Cao ◽  
Jie Guo ◽  
Haoyue Deng ◽  
...  
Keyword(s):  
Biomass Burning ◽  
Coal Combustion ◽  
Vehicle Emissions ◽  
Fossil Fuel ◽  
Fuel Combustion ◽  
Warm Period ◽  
Water Soluble ◽  
Formation Mechanisms ◽  
Carbonaceous Aerosols ◽  
Fossil Fuel Combustion

Abstract. To investigate the sources and formation mechanisms of carbonaceous aerosols, a major contributor to severe particulate air pollution, radiocarbon (14C) measurements were conducted on aerosols sampled from November 2015 to November 2016 in Xi'an, China. Based on the 14C content in elemental carbon (EC), organic carbon (OC) and water-insoluble OC (WIOC), contributions of major sources to carbonaceous aerosols are estimated over a whole seasonal cycle: primary and secondary fossil sources, primary biomass burning, and other non-fossil carbon formed mainly from secondary processes. Primary fossil sources of EC were further sub-divided into coal and liquid fossil fuel combustion by complementing 14C data with stable carbon isotopic signatures. The dominant EC source was liquid fossil fuel combustion (i.e., vehicle emissions), accounting for 64 % (median; 45 %–74 %, interquartile range) of EC in autumn, 60 % (41 %–72 %) in summer, 53 % (33 %–69 %) in spring and 46 % (29 %–59 %) in winter. An increased contribution from biomass burning to EC was observed in winter (∼28 %) compared to other seasons (warm period; ∼15 %). In winter, coal combustion (∼25 %) and biomass burning equally contributed to EC, whereas in the warm period, coal combustion accounted for a larger fraction of EC than biomass burning. The relative contribution of fossil sources to OC was consistently lower than that to EC, with an annual average of 47±4 %. Non-fossil OC of secondary origin was an important contributor to total OC (35±4 %) and accounted for more than half of non-fossil OC (67±6 %) throughout the year. Secondary fossil OC (SOCfossil) concentrations were higher than primary fossil OC (POCfossil) concentrations in winter but lower than POCfossil in the warm period. Fossil WIOC and water-soluble OC (WSOC) have been widely used as proxies for POCfossil and SOCfossil, respectively. This assumption was evaluated by (1) comparing their mass concentrations with POCfossil and SOCfossil and (2) comparing ratios of fossil WIOC to fossil EC to typical primary OC-to-EC ratios from fossil sources including both coal combustion and vehicle emissions. The results suggest that fossil WIOC and fossil WSOC are probably a better approximation for primary and secondary fossil OC, respectively, than POCfossil and SOCfossil estimated using the EC tracer method.

scholarly journals Observation and Source Apportionment of Trace Gases, Water-Soluble Ions and Carbonaceous Aerosol During a Haze Episode in Wuhan

Atmosphere ◽  
2019 ◽  
Vol 10 (7) ◽  
pp. 397 ◽  
Author(s):  
Zhengxu Gao ◽  
Xiaoling Wang ◽  
Lijuan Shen ◽  
Hua Xiang ◽  
Honglei Wang
Keyword(s):  
Organic Carbon ◽  
Air Pollutants ◽  
Principal Component ◽  
Water Soluble ◽  
Vehicle Exhaust ◽  
Soluble Ions ◽  
Secondary Formation ◽  
Water Soluble Ions ◽  
Haze Episode ◽  
Haze Days

As the new core region of the haze pollution, the terrain effect of sub-basin and water networks over the Twin-Hu Basin (THB) in the Yangtze River Middle-Reach (YRMR) had great impacts on the variations and distributions of air pollutants. In this study, trace gases (NH3, HNO3, and HCl), water-soluble ions (WSIs), organic carbon (OC), and elemental carbon (EC) were measured in PM2.5 from 9 January to 27 January 2018, in Wuhan using monitoring for aerosols and gases (MARGA) and a semi-continuous OC/EC analyzer (Model RT-4). The characteristics of air pollutants during a haze episode were discussed, and the PM2.5 sources were quantitatively analyzed on haze and non-haze days using the principal component analysis/absolute principal component scores (PCA/APCS) model. The average PM2.5 concentration was 122.61 μg·m−3 on haze days, which was 2.20 times greater than it was on non-haze days. The concentrations of secondary water soluble ions (WSIs) including NO3−, SO42−, and NH4+ increased sharply on haze days, which accounted for 91.61% of the total WSIs and were 2.43 times larger than the values on non-haze days. The heterogeneous oxidation reactions of NO2 and SO2 during haze episodes were proven to be the major sources of sulfate and nitrate in PM2.5. On haze days, the concentrations of EC, primary organic carbon (POC), and secondary organic carbon (SOC) were 1.68, 1.69, and 1.34 times larger than those on non-haze days, the CO, HNO3, and NH3 concentrations enhanced and relatively low SO2, O3, and HNO2 levels were observed on haze days. The diurnal variations of different pollutants distinctly varied on haze days. The PM2.5 in Wuhan primarily originated from the secondary formation, combustion, dust, industry, and vehicle exhaust sources. The source contributions of the secondary formation + combustion sources to PM2.5 on haze days were 2.79 times larger than the level on non-haze days. The contribution of the vehicle exhaust + combustion source on haze days were 0.59 times the value on non-haze days. This description is supported by a summary of how pollutant concentrations and patterns vary in the THB compared to the variations in other pollution regions in China, which have been more completely described.

scholarly journals Combination of Different Approaches to Infer Local or Regional Contributions to PM2.5 Burdens in Graz, Austria

2020 ◽  
Vol 10 (12) ◽  
pp. 4222
Author(s):  
Bernadette Kirchsteiger ◽  
Magdalena Kistler ◽  
Thomas Steinkogler ◽  
Christopher Herzig ◽  
Andreas Limbeck ◽  
...  
Keyword(s):  
Chemical Composition ◽  
Source Apportionment ◽  
Water Soluble ◽  
The European Union ◽  
Limit Value ◽  
Soluble Ions ◽  
Local Sources ◽  
Polycyclic Aromatic ◽  
Accumulation Of Pollutants ◽  
Short Time

In early 2017 high particulate matter (PM) levels were observed across mid-Europe, including Austria. Here we characterize PM pollution in the city of Graz during January to March 2017, a period with substantial exceedances (34 days) of the European Union (EU) PM10 short time limit value. This study evaluates whether the observed exceedances can be attributed to the accumulation of pollutants emitted by local sources or to a larger scale pollution episode including transport. The analyses are based on the ratios of PM10 concentrations determined at an urban and background site, and the analyses of chemical composition of PM2.5 samples (i.e., water soluble ions, organic and elemental carbon, anhydro-sugars, humic-like substances, aluminum, and polycyclic aromatic hydrocarbons). Source apportionment was realized using a macro-tracer model. Overall, the combination of different approaches (PM10 ratios, chemical composition, and macro-tracer derived source apportionment) enabled a conclusive identification of time periods characterized by the accumulation of emissions from local sources or regional pollution episodes.

scholarly journals Organic aerosol source apportionment by offline-AMS over a full year in Marseille

2017 ◽  
Vol 17 (13) ◽  
pp. 8247-8268 ◽  
Author(s):  
Carlo Bozzetti ◽  
Imad El Haddad ◽  
Dalia Salameh ◽  
Kaspar Rudolf Daellenbach ◽  
Paola Fermo ◽  
...  
Keyword(s):  
Source Apportionment ◽  
Coke Production ◽  
Water Soluble ◽  
Biomass Combustion ◽  
Seasonal Trends ◽  
Soluble Ions ◽  
Yearly Average ◽  
Polycyclic Aromatic ◽  
Field Deployment ◽  
A Minor

Abstract. We investigated the seasonal trends of OA sources affecting the air quality of Marseille (France), which is the largest harbor of the Mediterranean Sea. This was achieved by measurements of nebulized filter extracts using an aerosol mass spectrometer (offline-AMS). In total 216 PM2. 5 (particulate matter with an aerodynamic diameter  <  2.5 µm) filter samples were collected over 1 year from August 2011 to July 2012. These filters were used to create 54 composite samples which were analyzed by offline-AMS. The same samples were also analyzed for major water-soluble ions, metals, elemental and organic carbon (EC ∕ OC), and organic markers, including n-alkanes, hopanes, polycyclic aromatic hydrocarbons (PAHs), lignin and cellulose pyrolysis products, and nitrocatechols. The application of positive matrix factorization (PMF) to the water-soluble AMS spectra enabled the extraction of five factors, related to hydrocarbon-like OA (HOA), cooking OA (COA), biomass burning OA (BBOA), oxygenated OA (OOA), and an industry-related OA (INDOA). Seasonal trends and relative contributions of OA sources were compared with the source apportionment of OA spectra collected from the AMS field deployment at the same station but in different years and for shorter monitoring periods (February 2011 and July 2008). Online- and offline-AMS source apportionment revealed comparable seasonal contribution of the different OA sources. Results revealed that BBOA was the dominant source during winter, representing on average 48 % of the OA, while during summer the main OA component was OOA (63 % of OA mass on average). HOA related to traffic emissions contributed on a yearly average 17 % to the OA mass, while COA was a minor source contributing 4 %. The contribution of INDOA was enhanced during winter (17 % during winter and 11 % during summer), consistent with an increased contribution from light alkanes, light PAHs (fluoranthene, pyrene, phenanthrene), and selenium, which is commonly considered as a unique coal combustion and coke production marker. Online- and offline-AMS source apportionments revealed evolving levoglucosan : BBOA ratios, which were higher during late autumn and March. A similar seasonality was observed in the ratios of cellulose combustion markers to lignin combustion markers, highlighting the contribution from cellulose-rich biomass combustion, possibly related to agricultural activities.

scholarly journals Characteristics of concentrations and chemical compositions for PM<sub>2.5</sub> in the region of Beijing, Tianjin, and Hebei, China

2013 ◽  
Vol 13 (1) ◽  
pp. 863-901 ◽  
Author(s):  
P. S. Zhao ◽  
F. Dong ◽  
D. He ◽  
X. J. Zhao ◽  
W. Z. Zhang ◽  
...  
Keyword(s):  
Coal Combustion ◽  
Urban Areas ◽  
Motor Vehicle ◽  
Water Soluble ◽  
Photochemical Oxidation ◽  
Chemical Compositions ◽  
Soluble Ions ◽  
Secondary Ions ◽  
Water Soluble Ions ◽  
Autumn And Winter

Abstract. In order to study the temporal and spatial variations of PM2.5 and its chemical compositions in the region of Beijing, Tianjin, and Hebei (BTH), PM2.5 samples were collected at four urban sites in Beijing (BJ), Tianjin (TJ), Shijiazhuang (SJZ), and Chengde (CD) and one site at Shangdianzi (SDZ) regional background station over four seasons from 2009 to 2010. The samples were weighted for mass concentrations and analyzed in laboratory for chemical profiles of 19 elements (Al, As, Ba, Ca, Cd, Co, Cr, Cu, Fe, K, Mg, Mn, Ni, P, Pb, Sr, Ti, V, and Zn), eight water-soluble ions (Na+, NH4+, K+, Mg2+, Ca2+, Cl−, NO3−, and SO42−), and carbon fractions (OC and EC). The concentrations of PM2.5 and its major chemical species were season-dependent and showed spatially similar characteristics in the plain area of BTH. The average annual concentrations of PM2.5 were 71.8–191.2 μg m−3 at five sites, with more than 90 % sampling days exceeded 50 μg m−3 at BJ, TJ, and SJZ. PM2.5 pollution was most serious at SJZ, and the annual concentrations of PM2.5, secondary ions, OC, EC, and most of crustal elements were all highest. Due to stronger photochemical oxidation, the sum of concentrations of secondary ions (NH4+, NO3−, and SO42−) was highest in the summer at SDZ, BJ, TJ, and CD. Analysis of electric charges of water-soluble ions indicated the existence of nitric acid or hydrochloric acid in PM2.5. For all five sites, the concentrations of OC, EC and also secondary organic carbon (SOC) in the spring and summer were lower than those in the autumn and winter. Stable atmosphere and low temperatures appearing more frequently during autumn and winter facilitated the formation of SOC. The sums of crustal elements (Al, Ca, Fe, Mg, Ti, Ba, and Sr) were higher in the spring and autumn owing to more days with blowing or floating dust. The concentrations of heavy metals were at higher levels in the BTH area by comparison with other studies. In Shijiazhuang and Chengde, the PM2.5 pollution was dominated by coal combustion. Motor vehicle exhausts and coal combustion emissions both played important role in Tianjin PM2.5$ pollution. However, motor vehicle exhausts had played more important role in Beijing owing to the reduction of coal consumption and sharply increase of cars in recent years. At SDZ, regional transportation of air pollutants from southern urban areas was significant.

Emission and simulation of primary fine and submicron particles and water-soluble ions from domestic coal combustion in China

2020 ◽  
Vol 224 ◽  
pp. 117308 ◽  
Author(s):  
Qin Yan ◽  
Shaofei Kong ◽  
Yingying Yan ◽  
Haibiao Liu ◽  
Wei Wang ◽  
...  
Keyword(s):  
Coal Combustion ◽  
Water Soluble ◽  
Submicron Particles ◽  
Soluble Ions ◽  
Water Soluble Ions
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