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10.1016/j.atmosres.2012.12.004
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Table 3 Seasonal mean mass concentrations of $\mathrm{PM}_{2.5}$ in other cities in China.
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Table 4 Seasonal mean mass concentrations and contributions of WSIs and PAHs in $\mathrm{PM}_{2.5}$ in the suburb of Shenzhen.
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Fig. 4. Ion balance of WSIs in $\mathrm{PM}_{2.5}$ in the suburb of Shenzhen.
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Fig. 5. Factor profiles of $\mathrm{PM}_{2.5}$ in the suburb of Shenzhen.
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Fig. 6. Seasonal relative contributions of factors to $\mathrm{PM}_{2.5}$ in the suburb of Shenzhen.
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Chemical composition and source identification of $\mathsf{P M}_{2.5}$ in the suburb of Shenzhen, China Wei Dai, Jiaqi Gao, Gang Cao, Feng Ouyang School of Civil and Environmental Engineering, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen 518055, China a r t i c l e i n f o a b s t r a c t Article h...
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10.5194/acp-11-7319-2011
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Fig. 1. Map of the sampling sites in this study.
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Table 1. Mass concentrations of aerosols $(\upmu\mathrm{g}\,\\mathsf{m}^{-3})$ at the summit of MT and other sampling sites.
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Table 2. Mass concentrations $(\upmu\mathrm{g}\,\\\mathrm{m}^{-3})$ and size distributions of aerosols at the summit of MT and other sampling sites.
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Table 3. Meteorological conditions and concentrations of gases $(\mathrm{O}_{3}$ , CO, Peroxide) in ambient air at MT.
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Fig. 2. Daily variations of TSP and $\mathrm{PM}_{2.5}$ from 14 March to 30 June in 2006 at MT.
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Table 4. Water-soluble ions in $\mathrm{PM}_{2.5}$ and TSP and the corresponding ratios of summer/spring at MT.
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Table 5. SOR, NOR of ambient air and main water-soluble ions in $\mathrm{PM}_{2.5}$ and TSP at MT and Beijing.
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Table 6. Concentrations $(\upmu\mathrm{g}\,\\mathsf{m}^{-3})$ ) of elements in $\mathrm{PM}_{2.5}$ and TSP and the corresponding ratios of summer/spring at MT.
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Fig. 3. Enrichment factors (EFs) of elements at MT in spring and summer, 2006.
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Table $7.\,\mathrm{pH}$ of aqueous filtrates of $\mathrm{PM}_{2.5}$ and TSP aerosols at different sampling sites. 3.2 Sources and formation mechanisms of aerosols at summit of MT
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Fig. 4. Daily variations of pH of aqueous filtrates of aerosols at MT, 2006.
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Fig. 5. Daily variations of $\mathrm{K^{+}}$ , $\mathrm{Na^{+}}$ , and Al in $\mathrm{PM}_{2.5}$ from 14 March to 30 June in 2006 at MT.
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Fig. 6. Concentrations of biomass burning derived $\ K^{+}$ calculated with two methods in $\mathrm{PM}_{2.5}$ in 2006 at MT.
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Fig. 7. Fire spot data derived from MODIS Global Fire Mapping during 2006: (a) 1–29 March, (b) 1–29 April, (c) 1–29 May, (d) 1–29 June, (e) 1–9 June and (f) 10–19 June at MT.
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Fig. 8. Daily contributions of biomass burning, crustal dust, and others in $\operatorname{PM}_{2.5}$ at MT.
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Table 8. Concentrations of $\ K^{+}$ in $\mathrm{PM}_{2.5}$ at different sampling sites.
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Fig. 9. Seasonal variations of $\mathrm{SO}_{4}^{2-}$ , $\mathrm{NO}_{3}^{-}$ , and $\mathrm{NH}_{4}^{+}$ in aerosols at different sampling sites.
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Table 9. Correlation coefficients between $\mathsf{K}^{+}$ and other species in aerosols in summer at MT.
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Table 10. Ratio of $\mathrm{Ca/Al}$ in aerosol or surface soil in different sampling sites over China.
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Fig. 10. Scatter plots of $\mathrm{SO}_{4}^{2-}$ vs. decides (sum of $\mathrm{CH}_{2}\mathrm{C}_{2}\mathrm{O}_{4}^{2-}$ , $\mathrm{CH}_{4}\mathrm{C}_{2}\mathrm{O}_{4}^{2-}$ , and $C_{2}0_{4}^{2-}$ ).
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Fig. 11. Daily variation of mineral elements (Ca, Al and Fe) at different sampling sites in spring, 2007.
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Table 11. Correlation coefficients among the certain species in spring and summer at MT.
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Chemical characterization of aerosols at the summit of Mountain Tai in Central East China C. Deng1, G. Zhuang1, K. Huang1, J. Li1, R. Zhang1, Q. Wang1, T. Liu1, Y. $\mathbf{Sun}^{2}$ , Z. Guo1, J. S. $\mathbf{F}\mathbf{u}^{3}$ , and Z. Wang2 1The Center for Atmospheric Chemistry Study, Department of Environmental Scien...
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10.1016/j.atmosres.2017.11.017
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Fig. 1. Location of the Lin'an regional atmospheric background station.
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Fig. 2. Concentrations of $\mathrm{PM}_{2.5}$ and its major components at LA during the study period.
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Fig. 3. Correlations between measured and reconstructed $\mathrm{PM}_{2.5}$ concentrations with the three models.
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Table 1 Correlations between measured and reconstructed concentrations of major $\mathrm{PM}_{2.5}$ chemical components by the three models.
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Table 2 Results of the PCA analysis for $\mathrm{PM}_{2.5}$
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Table 3 UNMIX source composition profile for $\mathrm{PM}_{2.5}$
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Source apportionment of $\mathbf{PM}_{2.5}$ at the Lin'an regional background site in China with three receptor models Junjun Denga,b,⁎, Yanru Zhanga,b,c, Yuqing $\mathrm{\boldmath~Qiu^{a,b,c}~}$ , Hongliang Zhangd, Wenjiao Dua,b,c, Lingling $\mathrm{{Xu^{a,b}}}$ , Youwei Honga,b, Yanting Chena,b, Jinsheng Chena,b,⁎ a ...
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10.1016/j.atmosenv.2010.11.057
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Fig. 1. Sampling site in PRD. Green pentacle is regional background site, Wangqingsha (WQS) which is in the central of PRD and surrounded by city clusters.
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Fig. 2. Total ion chromatogram for silylated sample. 1. succinic acid; 2. 2-methylglyceric acid; 3. 3-methyl-2,3,4-trihydroxy-1-butene; 4. glutaric acid; 5. adipic acid; 6. 2-methylthreitol; 7. 2-methylerythritol; 8. 3-hydroxyglutaric acid; 9. pimelic acid; 10. 3-hydroxy- $^{4,4}$ -dimethylglutaric acid; 11. phthalic a...
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Fig. 3. Total ion chromatogram for methylated sample.1. cis-pinonic acid; 2. pinic acid; 3. 3-methyl-1,2,3-butanetricarboxylic acid; 4. phthalic acid- $\cdot\mathrm{D}_{4}$ (IS); 5. hexadecanoic acid- $\cdot\mathrm{D}_{31}$ (IS).
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Table 1 Summary of SOA tracers $\left(\mathfrak{n g m}^{-3}\right)$ and other parameters.
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Fig. 4. Daily variations of major components (a) and SOA tracers (b).
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Fig. 5. Daily variation of isoprene (a) and $^\circ{}$ -pinene (b) SOA tracers.
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Fig. 6. Five-day back trajectories of air mass $100\;\mathrm{m}$ above ground on day Oct. 27 (green), Nov. 1 (blue) and Nov. 19 (red) using HYSPLIT 4.9 software from the Air Resources Laboratory (ARL) in NOAA (For interpretation of the references to color in this figure legend, the reader is referred to the web version...
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Fig. 7. Correlations between isoprene SOA tracers and temperature. $k$ is the slope of correlation.
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Fig. 8. Correlations of aerosol acidity with isoprene (a) and $^\circ{}$ -pinene (b) SOA tracers. k is the slope of correlation.
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Table 2 Pearson coefficients for SOA tracers.a
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Fig. 9. Five-day back trajectory of air mass on the day when $\mathrm{P/M}$ ratio was the highest (Nov. 06) and the lowest (Oct. 28), respectively.
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The influence of temperature and aerosol acidity on biogenic secondary organic aerosol tracers: Observations at a rural site in the central Pearl River Delta region, South China Xiang Ding a,b, Xin-Ming Wang a,\*, Mei Zheng a State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Aca...
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10.1016/j.scitotenv.2005.03.001
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Fig. 1. Weekly concentrations of $\mathrm{PM}_{2.5}$ , $\mathrm{PM}_{10}$ and gaseous pollutants at Chegongzhuang site from August 2001 to September 2002.
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Table 1 Seasonal average concentrations of gas pollutants, $\mathrm{PM}_{10}$ , $\mathrm{PM}_{2.5}$ and the chemical species at CGZ site (unit: $\upmu\mathrm{g}\textrm{m}^{-3}$ )
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Fig. 2. Weekly averaged meteorological conditions data in Beijing from August 2001 to September 2002.
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Table 2 Annual average concentrations of major pollutants in Beijing from 1998 to 2002 (unit: $\mathrm{mg~m}^{-3}$ )
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Table 3 Enrichment factors of elements in $\mathrm{PM}_{2.5}$
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Fig. 3. Comparison of $\mathrm{SO}_{4}^{2-}$ and $\mathrm{SO}_{2}$ concentrations at Chegongzhuang site.
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Table 4 Matrix of correlation coefficient among the $\operatorname{PM}_{2.5,}$ , water-soluble ions and carbonaceous species at CGZ site
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Fig. 4. Equivalent concentrations comparison of (a) $\mathrm{NO}_{3}^{-}\!+\!\mathrm{SO}_{4}^{2-}$ vs. $\mathrm{NH_{4}^{+}}$ , (b) total cations vs. total anions.
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Fig. 5. Weekly concentrations of organic carbon and elemental carbon at Chegongzhuang site and Tsinghua site.
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Fig. 6. Contributions of chemical species to $\mathrm{PM}_{2.5}$ mass concentrations at CGZ site and THU site. (a) Annual average contributions. (b) Seasonal average contributions.
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Concentration and chemical characteristics of $\mathrm{PM}_{2.5}$ in Beijing, China: 2001–2002 F.K. Duana, K.B. Hea,T, Y.L. Maa, F.M. Yanga, X.C. Yua, S.H. Cadleb, T. Chanb, P.A. Mulawab aDepartment of Environmental Science and Engineering, Tsinghua University, Beijing 100084, P.R. China bGM R&D Center, Chemical and En...
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0014
10.1016/j.atmosres.2017.01.021
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Fig. 1. Locations of ambient sampling sites in Haikou
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Table 1 Describes of ambient $\mathrm{{PM}_{10}}$ and $\mathrm{PM}_{2.5}$ sampling sites
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Fig. 3. Chemical compositions of ambient $\mathrm{PM}_{10}$ and $\mathrm{PM}_{2.5}$ in Haikou
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Fig. 4. Linear regression of EC-OC data in $\mathrm{{PM}_{10}}$ and $\mathrm{PM}_{2.5}$ samples in Haikou
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Fig. 5. Profiles of six source categories for particulate matter in Haikou. ammonium sulfate; f: ammonium nitrate; g: sea salt)
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Table 2 Average amount of SOC deducting in $\mathrm{{PM}_{10}}$ and $\mathrm{PM}_{2.5}$
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Fig. 6. Source contribution to ambient $\mathrm{PM}_{10}$ and $\mathrm{PM}_{2.5}$ in urban areas of Haikou
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Fig. 7. 72-h air parcel backward trajectories (every $^{6\,\mathrm{h}}$ in sampling days) for winter (a) and spring (b) in Haikou. The percentage of trajectories belonging to a particular cluster is shown in parenthesis
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Accepted Manuscript Source apportionment of ambient PM10 and PM2.5 in Haikou, China Xiaozhen Fang, Xiaohui Bi, Hong Xu, Jianhui Wu, Yufen Zhang, Yinchang Feng PII: S0169-8095(16)30293-9 DOI: doi: 10.1016/j.atmosres.2017.01.021 Reference: ATMOS 3878 To appear in: Atmospheric Research Received date: 30 August...
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10.1007/s10653-016-9874-5
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Fig. 1 Location of the sampling site (the red dot, SS). MOB meteorological observatory base of Xinxiang
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Fig. 2 Wind speed and wind direction during the sampling period in Xinxiang $(\mathrm{m~s^{-1}}.$ )
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Fig. 3 Daily variations of $\mathrm{PM}_{2.5}$ mass concentration during the sampling period. The blue line shows that the standard of China National Ambient Air Quality is $75~{\upmu\mathrm{g}}~\mathrm{m}^{-3}\left(24~\mathrm{h}\right)$ , and the green line shows that the standard of WHO Air Quality is $25~{\upmu\math...
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Table 1 Comparison of $\mathrm{PM}_{2.5}$ concentrations observed during spring festival across China $(\upmu\mathrm{g}\textrm{m}^{-3})$
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Table 2 Mass concentrations of water-soluble ions, heavy metals and carbonaceous species in $\mathrm{PM}_{2.5}$ $\mathrm{(\upmug\m^{-3})}$ )
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Fig. 4 Enrichment factors (EF) for trace elements
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Fig. 5 Concentrations and ratios of OC and EC $\mathrm{(\upmug~m}^{-3}.$ )
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Fig. 6 Cluster analyses for backward trajectories of air masses during the sampling period. The different colors indicate different clusters of the backward trajectories Cluster means - Standard 20 backward trajectories GDAS Meteorological Data
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Table 3 Daily exposure values $(\mathrm{mg~kg^{-1}~}\dot{\mathrm{day}}^{-1})$ and health risks of heavy metals
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$\mathbf{PM}_{2.5}$ levels, chemical composition and health risk assessment in Xinxiang, a seriously air-polluted city in North China Jinglan Feng $\bullet$ Hao Yu $\bullet$ Shuhui Liu $\bullet$ Xianfa Su $\bullet$ Yi Li $\bullet$ Yuepeng Pan $\bullet$ Jianhui Sun Received: 28 April 2016 / Accepted: 6 September 2016 ...
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Fig. 1. Location of the sampling site (solid star) and the typical backward trajectories for air parcels arriving at the sampling site (percentages in brackets are the frequencies of the trajectories).
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Table 1 Seasonal concentration of the organic compounds and some important indices of $\mathrm{PM}_{2.5}$ at Lin'an.
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Table 1 (continued )
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Fig. 2. Variation of the LMW/HMW ratio with ambient temperature for PAHs in $\mathrm{PM}_{2.5}$ at LA.
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Fig. 3. Ratios of Flu $/(\mathrm{Flu}+\mathrm{Pyr})$ and $\mathrm{IcP}/(\mathrm{IcP}+\mathrm{BgP})$ in $\mathrm{PM}_{2.5}$ at LA.
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Table 2 Characteristics of $\mathrm{PM}_{2.5}$ associated with air masses from different directions.
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Fig. 4. Spatial distributions of PSCF values of (a) OC, (b) EC, (c) $n$ -alkanes, (d) PAHs, (e) hopanes, (f) levoglucosan in $\mathrm{PM}_{2.5}$ at LA.
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Characteristics and seasonal variation of organic matter in PM2.5 at a regional background site of the Yangtze River Delta region, China Jialiang Feng a, \*, Junchao Hu a, Binhua Xu a, Xiaoling Hu a, Peng Sun a, Wenliang Han b, Zeping Gu a, Xiangming Yu c, Minghong Wu a a School of Environmental and Chemical Engineerin...
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10.1016/j.atmosres.2009.01.003
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Fig. 1. Location of the sampling sites in Shanghai.
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Fig. 2. Comparison of monthly average (MA) with seasonal average (SA) of $\mathsf{P M}_{10}$ $S0_{2}$ , and $\mathrm{NO}_{2}$ concentrations in Shanghai, China. (Note: The averaged values in the figure were calculated from the daily measurements by the Shanghai Environmental Monitoring Center (http://www.envir.gov.cn/a...
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Table 1 Average concentrations of $\mathrm{PM}_{2.5}$ , OC and EC and their ratios in Shanghai.
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Table 2 Comparison of $\mathrm{PM}_{2.5}\,0C$ and EC concentrations measured by TOT method in Shanghai with other cities in China and in the world.
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Fig. 3. Variations of $\mathrm{PM}_{2.5}$ mass, OC, EC, OC/EC ratio, and fraction of TCA in $\mathrm{PM}_{2.5}$ at ZB and JD Sites in Shanghai.
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Fig. 4. Seasonal correlations of OC and EC in $\mathrm{PM}_{2.5}$ in Shanghai.
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Table 3 Levels of SOC and SOA in Shanghai estimated from minimum OC/EC ratios.
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Characteristics of organic and elemental carbon in $\mathsf{P M}_{2.5}$ samples in Shanghai, China Yanli Feng a, Yingjun Chen b,c,⁎, Hui Guo d, Guorui Zhi c, Shengchun Xiong a, Jun Li c, Guoying Sheng a,c, Jiamo Fu a,c a Institute of Environmental Pollution and Health, School of Environmental and Chemical Engineering, ...
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10.1016/j.scitotenv.2014.08.008
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Fig. 1. Location of the sampling site Wanqingsha (WQS) and its surrounding environments.
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Fig. 2. Charge balance between cations and anions in all $\mathrm{PM}_{2.5}$ samples.
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Table 1 Concentration of $\mathrm{PM}_{2.5}$ mass, carbonaceous and ionic species in fall and winter from 2007 to 2011 (average ± 95% confidence interval) (unit: μg $\mathfrak{m}^{-3}$ ).
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Fig. 3. Annual variation of $\mathrm{PM}_{2.5}$ mass concentration in fall and winter from 2007 to 2011.
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Fig. 4. The cumulative percentage of $\mathrm{PM}_{2.5}$ OM, $S0_{4}^{2-}$ and $\mathrm{NO}_{3}^{-}$ mass concentrations in fall and winter from 2007 to 2011. The red lines are the different $\mathrm{PM}_{2.5}$ mass concentration standards: WHO 24-h guideline $(25\,\upmu\mathrm{g}\,\mathfrak{m}^{-3}$ ), USEPA 24-h stan...
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Fig. 5. $\mathrm{PM}_{2.5}$ components in fall and winter from 2007 to 2011.