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Characteristics and sources of the fine carbonaceous aerosols in Haikou, China

Atmospheric research, v.199, 2018년, pp.103 - 112  

Liu, Baoshuang (State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control & Center for Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China) ,  Zhang, Jiaying (State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control & Center for Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China) ,  Wang, Lu (State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control & Center for Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China) ,  Liang, Danni (State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control & Center for Urban Transport Emission Research, College of Environmental Science and Engineering, Nan) ,  Cheng, Yuan ,  Wu, Jianhui ,  Bi, Xiaohui ,  Feng, Yinchang ,  Zhang, Yufen ,  Yang, Haihang

Abstract AI-Helper 아이콘AI-Helper

Abstract Ambient PM2.5 samples were collected from January to September 2015 in Haikou. The carbonaceous fractions included OC, EC, OC1, OC2, OC3, OC4, EC1, EC2, EC3, Char-EC (EC1 minus POC) and Soot-EC (EC2 plus EC3) were analysed in this study. The results indicate that the mean concentrations of...

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참고문헌 (59)

  1. Environ. Sci. Technol. Ancelet 46 4767 2012 10.1021/es203937y Identification of particulate matter sources on an hourly time-scale in a wood burning community 

  2. Sci. Total Environ. Bisht 521-522 431 2015 10.1016/j.scitotenv.2015.03.083 Carbonaceous aerosols and pollutants over Delhi urban environment: temporal evolution, source apportionment and radiative forcing 

  3. Sci. Total Environ. Brown 518-519 626 2015 10.1016/j.scitotenv.2015.01.022 Methods for estimating uncertainty in PMF solutions: examples with ambient air and water quality data and guidance on reporting PMF results 

  4. Atmos. Res. Byčenkienė 143 279 2014 10.1016/j.atmosres.2014.02.019 Urban background levels of particle number concentration and sources in Vilnius, Lithuania 

  5. Cachier 428 1996 Biomass Burning and Global Change African fine particulate emissions and atmospheric influence 

  6. Atmos. Environ. Cao 37 1451 2003 10.1016/S1352-2310(02)01002-6 Characteristics of carbonaceous aerosol in Pearl River Delta region, China during 2001 winter period 

  7. Atmos. Environ. Cao 38 4447 2004 10.1016/j.atmosenv.2004.05.016 Spatial and seasonal variations of atmospheric organic carbon and elemental carbon in Pearl River Delta Region, China 

  8. Atmos. Chem. Phys. Cao 5 3127 2005 10.5194/acp-5-3127-2005 Characterization and source apportionment of atmospheric organic and elemental carbon during fall and winter of 2003 in Xi'an, China 

  9. Aerosol Air Qual. Res. Cao 6 106 2006 10.4209/aaqr.2006.06.0001 Characterization of roadside fine particulate carbon and its eight fractions in Hong Kong 

  10. J. Geophys. Res. Cao 112 D22S11 2007 10.1029/2006JD008205 Spatial and seasonal distribution of carbonaceous aerosols over China 

  11. Atmos. Chem. Phys. Cao 13 803 2013 10.5194/acp-13-803-2013 Characteristics and sources of carbonaceous aerosols from Shanghai, China 

  12. Atmos. Environ. Castro 33 2771 1999 10.1016/S1352-2310(98)00331-8 Carbonaceous aerosol in urban and rural European atmospheres: estimation of secondary organic carbon concentrations 

  13. Sci. Total Environ. Chen 470-471 9 2014 10.1016/j.scitotenv.2013.09.033 N-alkanes and polycyclic aromatic hydrocarbons in total suspended particulates from the southeastern Tibetan Plateau: concentrations, seasonal variations, and sources 

  14. J. Geophys. Res. Chow 107 D21 8344 2002 10.1029/2001JD000574 PM2.5 carbonate concentrations at regionally representative interagency monitoring of protected visual environment sites 

  15. Chemosphere Chow 54 185 2004 10.1016/j.chemosphere.2003.07.004 Source profiles for industrial, mobile, and area sources in the Big Bend Regional Aerosol Visibility and Observational (BRAVO) study 

  16. Draxler 2014 Hysplit4 User's Guide 

  17. Atmos. Environ. Duan 41 2895 2007 10.1016/j.atmosenv.2006.12.017 Sources and characteristics of carbonaceous aerosol in two largest cities in Pearl River Delta Region, China 

  18. Atmos. Environ. Han 42 2405 2008 10.1016/j.atmosenv.2007.12.020 Distribution and origin of carbonaceous aerosol over a rural high-mountain lake area, Northern China and its transport significance 

  19. Atmos. Environ. Han 43 6066 2009 10.1016/j.atmosenv.2009.08.018 Spatial distribution and seasonal variation of char-EC and soot-EC in the atmosphere over China 

  20. Atmos. Chem. Phys. Han 10 595 2010 10.5194/acp-10-595-2010 Different characteristics of char and soot in the atmosphere and their ratio as an indicator for source identification in Xi'an, China 

  21. Atmos. Environ. Ke 41 8898 2007 10.1016/j.atmosenv.2007.08.024 Source contributions to carbonaceous aerosols in the Tennessee Valley Region 

  22. J. Geophys. Res. Kim 109 D09204 1 2004 Improving source identification of fine particles in a rural northeastern US area utilizing temperature-resolved carbon fractions 

  23. Atmos. Environ. Kim 38 3349 2004 10.1016/j.atmosenv.2004.03.012 Improving source identification of Atlanta aerosol using temperature resolved carbon fractions in positive matrix factorization 

  24. Aerosol Air Qual. Res. Kim 11 1 2011 10.4209/aaqr.2010.07.0061 Characteristics of atmospheric elemental carbon (char and soot) in ultrafine and fine particles in a roadside environment, Japan 

  25. Chemosphere Koelmans 63 365 2006 10.1016/j.chemosphere.2005.08.034 Black carbon: the reverse of its dark side 

  26. Particuology Li 7 432 2009 10.1016/j.partic.2009.06.010 Characteristics of organic and elemental carbon in atmospheric fine particles in Tianjin. China 

  27. Atmos. Environ. Li 106 223 2015 10.1016/j.atmosenv.2015.01.064 Seasonal variation of urban carbonaceous aerosols in a typical city Nanjing in Yangtze River Delta, China 

  28. Atmos. Res. Liu 181 20 2016 10.1016/j.atmosres.2016.06.007 Fine carbonaceous aerosol characteristics at a megacity during the Chinese Spring Festival as given by OC/EC online measurements 

  29. Atmos. Res. Liu 170 23 2016 10.1016/j.atmosres.2015.11.002 Chemical composition and source apportionment of ambient PM2.5 during the non-heating period in Taian, China 

  30. Environ. Pollut. Liu 223 334 2017 10.1016/j.envpol.2017.01.030 Source apportionment and a novel approach of estimating regional contributions to ambient PM2.5 in Haikou, China 

  31. Science Menon 297 2250 2002 10.1126/science.1075159 Climate effects of black carbon aerosols in China and India 

  32. Environ. Pollut. Niu 181 107 2013 10.1016/j.envpol.2013.06.006 Source contributions to carbonaceous species in PM2.5 and their uncertainty analysis at typical urban, peri-urban and background sites in southeast China 

  33. Sci. Total Environ. Okuda 408 1909 2010 10.1016/j.scitotenv.2010.01.040 Measurement and source identification of polycyclic aromatic hydrocarbons (PAHs) in the aerosol in Xi'an, China, by using automated column chromatography and applying positive matrix factorization (PMF) 

  34. Paatero 2000 User's Guide for Positive Matrix Factorization Programs PMF2 and PMF3, Part 1: Tutorial 

  35. Paatero 2007 User's Guide for Positive Matrix Factorization Programs PMF2 and PMF3, Part 1-2: Tutorial, 19-21 

  36. Anal. Chim. Acta Paatero 490 277 2003 10.1016/S0003-2670(02)01643-4 Discarding or down weighting high-noise variables in factor analytic models 

  37. Environmetrics Paatero 5 111 1994 10.1002/env.3170050203 Positive matrix factorization: a non-negative factor model with optimal utilization of error estimates of data values 

  38. Atmos. Environ. Pathak 45 318 2011 10.1016/j.atmosenv.2010.10.021 Characteristics of summertime PM2.5 organic and elemental carbon in four major Chinese cities: implications of high acidity for water-soluble organic carbon (WSOC) 

  39. Acta Sci. Circumst. Peng 35 1638 2015 Characteristics of organic carbon and elemental carbon in PM2.5 in the urban Wanzhou area in summer and winter 

  40. Richard 2002 Secondary Organic Aerosols Research Strategy to Apportion Biogenic/Anthropogenic Sources: An Outcome of the First Secondary Organic Aerosols Workshop, February 4-5, 2002 

  41. Atmos. Environ. Safai 92 493 2014 10.1016/j.atmosenv.2014.04.055 Characterization of carbonaceous aerosols over the urban tropical location and a new approach to evaluate their climatic importance 

  42. Seinfeld 1998 Atmospheric Chemistry and Physics: From Air Pollution to Climate Change 

  43. Environ. Pollut. Shi 219 897 2016 10.1016/j.envpol.2016.09.009 Quantification of long-term primary and secondary source contributions to carbonaceous aerosols 

  44. Atmos. Environ. Streets 35 4281 2001 10.1016/S1352-2310(01)00179-0 Black carbon emissions in China 

  45. Adv. Atmos. Sci. Tao 30 1070 2013 10.1007/s00376-012-2168-7 Chemical composition of PM2.5 at an urban site of Chengdu in southwestern China 

  46. Atmos. Environ. Turpin 29 3527 1995 10.1016/1352-2310(94)00276-Q Identification of secondary aerosol episodes and quantification of primary and secondary organic aerosol concentrations during SCAQS 

  47. J. Environ. Sci. Wang 20 1323 2008 10.1016/S1001-0742(08)62228-7 Long-term monitoring and source apportionment of PM2.5/PM10 in Beijing, China 

  48. Sci. Total Environ. Wang 508 477 2015 10.1016/j.scitotenv.2014.11.007 Spatial and seasonal variations of PM2.5 mass and species during 2010 in Xi'an, China 

  49. Sci. Total Environ. Wang 530-531 110 2015 10.1016/j.scitotenv.2015.05.005 Characteristics and major sources of carbonaceous aerosols in PM2.5 from Sanya, China 

  50. Atmos. Environ. Watson 28 2493 1994 10.1016/1352-2310(94)90400-6 Differences in the carbon composition of source profiles for diesel- and gasoline-powered vehicles 

  51. Atmos. Chem. Phys. Xie 8 2701 2008 10.5194/acp-8-2701-2008 Spatiotemporal variations of ambient PM10 source contributions in Beijing in 2004 using positive matrix factorization 

  52. Atmos. Environ. Xu 46 217 2012 10.1016/j.atmosenv.2011.09.078 Lead concentrations in fine particulate matter after the phasing out of leaded gasoline in Xi'an, China 

  53. Sci. Total Environ. Xu 545-546 546 2016 10.1016/j.scitotenv.2015.12.070 Inter-annual variability of wintertime PM2.5 chemical composition in Xi'an, China: evidences of changing source emissions 

  54. Atmos. Chem. Phys. Yang 11 5207 2011 10.5194/acp-11-5207-2011 Characteristics of PM2.5 speciation in representative mega cities and across China 

  55. Atmos. Chem. Phys. Yttri 7 5711 2007 10.5194/acp-7-5711-2007 Elemental and organic carbon in PM10: a one year measurement campaign within the European Monitoring and Evaluation Programme EMEP 

  56. J. Environ. Sci. Zhang 19 564 2007 10.1016/S1001-0742(07)60094-1 Carbonaceous aerosols in PM10 and pollution gases in winter in Beijing 

  57. Atmos. Chem. Phys. Zhang 13 7053 2013 10.5194/acp-13-7053-2013 Chemical characterization and source apportionment of PM2.5 in Beijing: seasonal perspective 

  58. Sci. Total Environ. Zhang 518-519 97 2015 10.1016/j.scitotenv.2015.02.054 Seasonal variations and chemical characteristics of PM2.5 in Wuhan, central China 

  59. Aerosol Air Qual. Res. Zhu 12 1157 2012 10.4209/aaqr.2012.01.0003 Indoor and outdoor chemical components of PM2.5 in the rural areas of Northwestern China 

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