Environmental Science and Pollution Research

, Volume 23, Issue 11, pp 11109–11128 | Cite as

Mixing states of aerosols over four environmentally distinct atmospheric regimes in Asia: coastal, urban, and industrial locations influenced by dust

Research Article

Abstract

Mixing can influence the optical, physical, and chemical characteristics of aerosols, which in turn can modify their life cycle and radiative effects. Assumptions on the mixing state can lead to uncertain estimates of aerosol radiative effects. To examine the effect of mixing on the aerosol characteristics, and their influence on radiative effects, aerosol mixing states are determined over four environmentally distinct locations (Karachi, Gwangju, Osaka, and Singapore) in Asia, an aerosol hot spot region, using measured spectral aerosol optical properties and optical properties model. Aerosol optical depth (AOD), single scattering albedo (SSA), and asymmetry parameter (g) exhibit spectral, spatial, and temporal variations. Aerosol mixing states exhibit large spatial and temporal variations consistent with aerosol characteristics and aerosol type over each location. External mixing of aerosol species is unable to reproduce measured SSA over Asia, thus providing a strong evidence that aerosols exist in mixed state. Mineral dust (MD) (core)-Black carbon (BC) (shell) is one of the most preferred aerosol mixing states. Over locations influenced by biomass burning aerosols, BC (core)-water soluble (WS, shell) is a preferred mixing state, while dust gets coated by anthropogenic aerosols (BC, WS) over urban regions influenced by dust. MD (core)-sea salt (shell) mixing is found over Gwangju corroborating the observations. Aerosol radiative forcing exhibits large seasonal and spatial variations consistent with features seen in aerosol optical properties and mixing states. TOA forcing is less negative/positive for external mixing scenario because of lower SSA. Aerosol radiative forcing in Karachi is a factor of 2 higher when compared to Gwangju, Osaka, and Singapore. The influence of g on aerosol radiative forcing is insignificant. Results emphasize that rather than prescribing one single aerosol mixing state in global climate models regionally and temporally varying aerosol mixing states should be included for more accurate assessment of aerosol radiative effects

Keywords

Aerosols Mixing Environment Pollution effects Region Radiative implications 

References

  1. Andreae MO, Charlson RJ, Bruynseels F, Storms H, Van Grieken R, Maenhaut W (1986) Internal mixture of sea salt, silicates, and excess of sulfate in marine aerosols. Science 232:1620–1623CrossRefGoogle Scholar
  2. Andrews E, Sheridan PJ, Fiebig M, McComiskey A, Ogren JA, Arnott P, Covert D, Elleman R, Gasparini R, Collins D, Jonsson H, Schmid B, Wang J (2006) Comparison of methods for deriving aerosol asymmetry parameter. J Geophys Res 111(D05S04). doi:10.1029/2004JD005734
  3. Arimoto R, Kim YJ, Kim YP, Quinn PK, Bates TS, Anderson TL, Gong S, Uno I, Chin M, Huebert BJ, Clarke AD, Shinozuka Y, Weber RJ, Anderson JR, Guazzotti SA, Sullivan RC, Sodeman DA, Prather KA, Sokolik IN (2006) Characterization of Asian dust during ACE-Asia. Glob Planet Chang 52:23–56CrossRefGoogle Scholar
  4. Balasubramanian R, Qian W-B, Decesari S, Facchini MC, Fuzzi S (2003) Comprehensive characterization of PM2.5 aerosols in Singapore. J Geophys Res 108:4523. doi:10.1029/2002JD002517 CrossRefGoogle Scholar
  5. Bohren CF, Huffman DR (1983) Absorption and scattering of light by small particles. John Wiley & Sons, Inc, pp 483–489Google Scholar
  6. Chin M, Diehl T, Dubovik O, Eck TF, Holben BN, Sinyuk A, Streets DG (2009) Light absorption by pollution, dust and biomass burning aerosols: a global model study and evaluation with AERONET measurements. Ann Geophys 27:3439–3464CrossRefGoogle Scholar
  7. Chung SH, Seinfeld JH (2002) Global distribution and climate forcing of carbonaceous aerosols. J Geophys Res 107:4407. doi:10.1029/2001JD001397 CrossRefGoogle Scholar
  8. Chung CE, Ramanathan V, Kim D, Podgorny IA (2005) Global anthropogenic aerosol direct forcing derived from satellite and ground-based observations. J Geophys Res 110:D24207. doi:10.1029/2005JD006356 CrossRefGoogle Scholar
  9. Dubovik O, King MD (2000) A flexible inversion algorithm for retrieval of aerosol optical properties from Sun and sky radiance measurements. J Geophys Res 105:20673–20696CrossRefGoogle Scholar
  10. Dubovik O, Smirnov A, Holben BN, Eck TF, Slutsker I (2000) Accuracy assessments aerosol optical properties retrieved from AERONET Sun- and sky-radiance measurements. J Geophys Res 105:9791–9806CrossRefGoogle Scholar
  11. Dubovik O, Sinyuk A, Lapyonok T, Holben BN, Mishchenko M, Yang P, Eck TF, Volten H, Munoz O, Veihelmann B, van der Zande WJ, Leon J-F, Sorokin M, Slutsker I (2006) Application of spheroid models to account for aerosol particle nonsphericity in remote sensing of desert dust. J Geophys Res 111 (D11208). doi:10.1029/2005JD006619
  12. Dubuisson P, Buriez JC, Fouquart Y (1996) High spectral resolution solar radiative transfer in absorbing and scattering media: application to the satellite simulation. J Quant Spectrosc Radiat Transf 55:103–126CrossRefGoogle Scholar
  13. Dutkiewicz VA, Alvi S, Ghauri BM, Choudhary MI, Husain L (2009) Black carbon aerosols in urban air in south Asia. Atmos Environ 43:1737–1744CrossRefGoogle Scholar
  14. Emmons LK, Walters S, Hess PG, Lamarque J-F, Pfister GG, Fillmore D, Granier C, Guenther A, Kinnison D, Laepple T, Orlando J, Tie X, Tyndall G, Wiedinmyer C, Baughcum SL, Kloster S (2010) Description and evaluation of the Model for Ozone and Related chemical Tracers. version 4 (MOZART-4). Geosci Model Dev 3:43–67CrossRefGoogle Scholar
  15. Forster P, Ramaswamy V, Artaxo P, Berntsen T, Betts R, Fahey DW, Haywood J, Lean J, Lowe DC, Myhre G, Nganga J, Prinn R, Raga G, Schulz M, Van Dorland R (2007) Changes in atmospheric constituents and in radiative forcing. In: Solomon S, Qin D, Manning M, Chen Z, Marquis M, Averyt KB, Tignor M, Miller HL (eds) Climate change 2007: the physical science basis. Contribution of working group i to the fourth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge, United Kingdom and New York, pp 129–234Google Scholar
  16. Funasaka K, Sakai M, Shinya M, Miyazaki T, Kamiura T, Kaneco S, Ohta K, Fujita T (2003) Size distributions and characteristics of atmospheric inorganic particles by regional comparative study in urban Osaka, Japan. Atmos Environ 37:4597–4605CrossRefGoogle Scholar
  17. Guazzotti SA, Coffee KR, Prather KA (2001) Continuous measurements of size-resolved particle chemistry during INDOEX-intensive Field Phase 99. J Geophys Res 106:28,607–28,627CrossRefGoogle Scholar
  18. Hänel G, Zankl B (1979) Aerosol size and relative humidity: water uptake by mixtures of salts. Tellus 31:478–486CrossRefGoogle Scholar
  19. Hasegawa S, Ohta S (2002) Some measurements of mixing state of soot containing particles at urban and nonurban sites. Atmos Environ 36:3899–3908CrossRefGoogle Scholar
  20. Hess M, Koepke P, Schult I (1998) Optical properties of aerosols and clouds: the software package OPAC. Bull Am Meteorol Soc 79:831–844CrossRefGoogle Scholar
  21. Holben BN, Tanré D, Smirnov A, Eck TF, Slutsker I, Abuhassan N, Newcomb WW, Schafer JS, Chatenet B, Lavenu F, Kaufman YJ, Castle JV, Setzer A, Markham B, Clark D, Frouin R, Halthore R, Karneli, O’Neill NT, Pietras C, Zibordi G, Voss K, Zibordi G (2001) An emerging ground-based aerosol climatology: aerosol optical depth from AERONET. J Geophys Res 106:12067–12097CrossRefGoogle Scholar
  22. Jacobson MZ (2000) A physically-based treatment of elemental carbon optics: implications for global direct forcing of aerosols. Geophys Res Lett 27:217–220CrossRefGoogle Scholar
  23. Kedia S, Ramachandran S, Holben BN, Tripathi SN (2014) Quantification of aerosol type, and sources of aerosols over the Indo-Gangetic plain. Atmos Environ 98:607–619CrossRefGoogle Scholar
  24. Kopp RE, Mauzarell DL (2010) Assessing the climatic benefits of black carbon mitigation. Proc Natl Acad Sci 107:11703–11708CrossRefGoogle Scholar
  25. Lau K-M, Ramanathan V, Wu G-X, Li Z, Tsay SC, Hsu C, Sikka DR, Holben B, Lu D, Tartari G, Chin M, Koudelova P, Chen H, Ma Y, Juang J, Taniguchi K, Zhang R (2008) The joint aerosol-monsoon experiment. Bull Am Meteorol Soc 89:369–383CrossRefGoogle Scholar
  26. Lee H, Park SS, Kim KW, Kim YJ (2008) Source identification of PM2.5 particles measured in Gwangju, Korea. Atmos Res 88:199–211CrossRefGoogle Scholar
  27. Lesins G, Chylek P, Lohmann U (2002) A study of internal and external mixing scenarios and its effect on aerosol optical properties and direct radiative forcing. J Geophys Res 107:4094. doi:10.1029/2001JD000973 CrossRefGoogle Scholar
  28. Mishchenko MI, Travis LD, Kahn RA, West RA (1997) Modeling phase functions for dustlike tropospheric aerosols using a shape mixture of randomly oriented polydisperse spheroids. J Geophys Res 102:16831–16847CrossRefGoogle Scholar
  29. Mukai M, Sano I, Satoh M, Holben BN (2006) Aerosol properties and air pollutants over an urban area. Atmos Res 82:643– 651CrossRefGoogle Scholar
  30. Murphy DM, Cziczo DJ, Froyd KD, Hudson PK, Matthew BM, Middlebrook AM, Peltier RE, Sullivan A, Thomson DS, Weber RJ (2006) Single-particle mass spectrometry of tropospheric particles. J Geophys Res 111(D23S32). doi:10.1029/2006JD007340
  31. Parekh PP, Ghauri B, Siddiqi ZR, Husain L (1987) The use of chemical and statistical methods to identify sources of selected elements in ambient air aerosols in Karachi, Pakistan. Atmos Environ 21:1267–1274CrossRefGoogle Scholar
  32. Prospero JM, Ginoux P, Torres O, Nicholson SE, Gill TE (2002) Environmental characterization of global sources of atmospheric soil dust identified with the Nimbus 7 Total Ozone Mapping Spectrometer (TOMS) absorbing aerosol product. Rev Geophys 40:1002. doi:10.1029/2000RG000095 CrossRefGoogle Scholar
  33. Ramachandran S, Jayaraman A (2002) Premonsoon aerosol mass loadings and size distributions over the Arabian Sea and the tropical Indian Ocean. J Geophys Res 107:4738. doi:10.1029/2002JD002386 CrossRefGoogle Scholar
  34. Ramachandran S (2005) Premonsoon shortwave aerosol radiative forcings over the Arabian Sea and tropical Indian Ocean: Yearly and monthly mean variabilities. J Geophys Res 110:D07207. doi:10.1029/2004JD005563 CrossRefGoogle Scholar
  35. Ramachandran S, Kedia S (2010) Black carbon aerosols over an urban region: radiative forcing and climate impact. J Geophys Res 115(D10202). doi:10.1029/2009JD013560
  36. Ramachandran S, Kedia S (2011) Radiative effects of aerosols over Indo-Gangetic Plain: environmental (urban vs. rural) and seasonal variations. Environ Sci Pollut Res 19:2159– 2171CrossRefGoogle Scholar
  37. Remer LA, Kleidman RG, Levy RC, Kaufman YJ, Tanré D, Mattoo S, Martins JV, Ichoku C, Koren I, Yu H, Holben BN (2008) Global aerosol climatology from the MODIS satellite sensors. J Geophys Res 113:D14S07. doi:10.1029/2007JD009661 CrossRefGoogle Scholar
  38. Ricchiazzi P, Yang S, Gautier C, Sowle D (1998) SBDART, A research and teaching tool for plane-parallel radiative transfer in the Earth’s atmosphere. Bull Am Meteorol Soc 79:2101– 2114CrossRefGoogle Scholar
  39. Russell PB, Kacenelenbogen M, Livingston JM, Hasekamp OP, Burton SP, Schuster GL, Johnson MS, Knobelspiesse KD, Redemann J, Ramachandran S, Holben BN (2014) A Multi-parameter aerosol classification method and its application to retrievals from Spaceborne polarimetry. J Geophys Res 119:9838–9863. doi:10.1002/2013JD021411 CrossRefGoogle Scholar
  40. Srivastava R, Ramachandran S (2013) The mixing state of aerosols over the Indo-Gangetic Plain and its impact on radiative forcing. Q J R Meteorol Soc 39:137–151CrossRefGoogle Scholar
  41. Tanré D, Remer LA, Kaufman YJ, Mattoo S, Hobbs PV, Livingston JM, Russell PB, Smirnov A (1999) Retrieval of aerosol optical thickness and size distribution over ocean from the MODIS airborne simulator during TARFOX. J Geophys Res 104:2261– 2278CrossRefGoogle Scholar
  42. Vester BP, Ebert M, Barnert EB, Schneider J, Kandler K, Schütz L, Weinbruch S (2007) Composition and mixing state of the urban background aerosol in the Rhein-Main area (Germany). Atmos Environ 41:6102–6115CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  1. 1.Physical Research LaboratoryAhmedabadIndia
  2. 2.Indian Centre for Climate and Societal Impacts ResearchKachchhIndia

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