Skip to main content

Discerning the pre-monsoon urban atmosphere aerosol characteristic and its potential source type remotely sensed by AERONET over the Bengal Gangetic plain

Abstract

In the present study, we evaluated the pre-monsoon urban atmosphere (UA) aerosol characteristics remotely sensed by Aerosol Robotic Network (AERONET) over the Bengal Gangetic plain (BGP) at Kolkata (KOL) and their implication in potential source types and spatiotemporal features. About 70% of the AERONET-sensed aerosol optical depth at 0.50 μ m, AOD0.5 (Angstrom exponent, α at 0.44–0.87 μ m) during the pre-monsoon period (February to June) was greater than 0.50 (≤ 1); the pre-monsoon mean of AOD0.5 (α) was 0.73 (0.83) which was found being slightly higher (lower) than nearby AERONET stations (Dhaka/Bhola) located over the eastern Ganges basin. The volume geometric mean radius for the fine mode (FM) (coarse mode, CM) UA aerosol from AERONET retrievals was estimated to be 0.14–0.17 (2.24–2.75) μ m. The spectral distribution of the monthly mean of UA aerosol single-scattering albedo (SSA) exhibited an increasing trend with an increase in wavelength throughout all wavelengths during April, unlike the rest of the pre-monsoon months. Investigation of aerosol types indicated the pre-dominance of dust during April and a mixture of urban/open burning with mixed desert dust during the rest of the pre-monsoon months. Potential aerosol source fields were identified over the Indo-Gangetic Plain (IGP), east coast, northwestern India, and oceanic regions; these were estimated at elevated layers of atmosphere during April and May but that at surface layers during February and June. Comparison of aerosol characteristics over the BGP (at Kolkata, KOL) with that at six other coincident AERONET sites over India revealed mean AOD at KOL being 11 to 91% higher than the rest of the AERONET stations, with the relative increase at KOL being the highest during March; this was attributed to persistent high values of both FM and CM AOD unlike the rest of the stations. The monthly mean of SSA was the lowest at KOL among AERONET stations, during February and March. Comparison of the AOD from the AERONET aerosol retrievals over the BGP UA with the coincident Moderate Resolution Imaging Spectroradiometer (MODIS) latest retrievals (C005 and C006) indicated a moderate correlation between the two retrievals; discrepancy in MODIS-retrieved relative distribution of FM and CM AOD was inferred compared to AERONET in the UA.

This is a preview of subscription content, access via your institution.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

References

  • Angstrom A (1964) The parameters of atmospheric turbidity. Tellus 16:64–75

    Article  Google Scholar 

  • Arola A, Schuster G, Myhre G, Kazadzis S, Dey S, Tripathi S (2011) Inferring absorbing organic carbon content from AERONET data. Atmos Chem Phys 11(1):215–225. https://doi.org/10.5194/acp-11-215-2011

    Article  CAS  Google Scholar 

  • Bergstrom RW, Pilewskie P, Russell P, Redemann J, Bond T, Quinn P, Sierau B (2007) Spectral absorption properties of atmospheric aerosols. Atmos Chem Phys 7:5937–5943. https://doi.org/10.5194/acp-7-5937-2007

    Article  CAS  Google Scholar 

  • Bibi H, Alam K, Chishtie F, Bibi S, Shahid I, Blaschke T (2015) Intercomparison of MODIS, MISR, OMI, and CALIPSO aerosol optical depth retrievals for four locations on the Indo-Gangetic plains and validation against AERONET data. Atmos Environ 111:113–126. https://doi.org/10.1016/j.atmosenv.2015.04.013

    Article  CAS  Google Scholar 

  • Cheng T, Chen H, Gu X, Yu T, Guo J, Guo H (2012) The inter-comparison of MODIS, MISR and GOCART aerosol products against AERONET data over China. J Quant Spectrosc Radiat Transfer 113 (16):2135–2145. https://doi.org/10.1016/j.jqsrt.2012.06.016

    Article  CAS  Google Scholar 

  • Chin M (2009) Atmospheric aerosol properties and climate impacts. DIANE Publishing, Darby

    Google Scholar 

  • Chu DA, Kaufman YJ, Ichoku C, Remer LA, Tanré D, Holben BN (2002) Validation of MODIS aerosol optical depth retrieval over land. Geophys Res Lett 29(12):8007. https://doi.org/10.1029/2001GL013205

    Article  Google Scholar 

  • Coen MC, Weingartner E, Schaub D, Hueglin C, Corrigan C, Henning S, Schikowski M, Baltensperger U (2004) Saharan dust events at the Jungfraujoch: detection by wavelength dependence of the single scattering albedo and first climatology analysis. Atmos Chem Phys 4:2465–2480. https://doi.org/10.5194/acp-4-2465-2004

    Article  CAS  Google Scholar 

  • Draxler RR, Hess GD (1998) An overview of the HYSPLIT-4 modeling system for trajectories, dispersion and deposition. Aust Meteorol Mag 47:295–308

    Google Scholar 

  • Dubovik O, King MD (2000) A flexible inversion algorithim for retrieval of aerosol optical properties from sun and sky radiance measurements. J Geophys Res 105:D16. https://doi.org/10.1029/2000JD900282

    Article  Google Scholar 

  • Dubovik O, Smirnov A, Holben B, King MD, Kaufman YJ, Eck TF, Slustker I (2000) Accuracy assessments of aerosol optical properties retrieved from Aerosol Robotic Network (AERONET) sun and sky radiance measurements. J Geophys Res 105:D8. https://doi.org/10.1029/2000JD900040

    Article  Google Scholar 

  • Dubovik O, Holben B, Eck TF, Smirnov A, Kaufman YJ, King MD, Tanré D, Slutsker I (2002) Variability of absorption and optical properties of key aerosol types observed in worldwide locations. J Atmos Sci 59:590–608. https://doi.org/10.1175/1520-0469(2002)059<0590:VOAAOP>2.0.CO;2

    Article  Google Scholar 

  • Dumka UC, Tripathi SN, Misra A, Giles DM, Eck TF, Sagar R, Holben BN (2014) Latitudinal variation of aerosol properties from Indo-Gangetic Plain to central Himalayan foothills during TIGERZ campaign. J Geophys Res Atmos 119. https://doi.org/10.1002/2013JD021040

  • Eck TF, Holben BN, Reid JS, Dubovik O, Smirnov A, O’Neill NT, Slutsker I, Kinne S (1999) Wavelength dependence of the optical depth of biomass burning, urban, and desert dust aerosols. J Geophys Res 104(D24):31333–31349. https://doi.org/10.1029/1999JD900923

    Article  Google Scholar 

  • Eck T, Holben B, Reid J, Arola A, Ferrare R, Hostetler C, Crumeyrolle S, Berkoff T, Welton E, Lolli S et al (2014) Observations of rapid aerosol optical depth enhancements in the vicinity of polluted cumulus clouds. Atmos ChemPhys 14(21):11633. https://doi.org/10.5194/acp-14-11633-2014

    Article  CAS  Google Scholar 

  • Foster P (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, pp 186–217

  • Gautam R, Hsu N, Tsay S, Lau K, Holben B, Bell S, Smirnov A, Li C, Hansell R, Ji Q et al (2011) Accumulation of aerosols over the Indo-Gangetic plains and southern slopes of the Himalayas: distribution, properties and radiative effects during the 2009 pre-monsoon season. Atmos Chem Phys 11(24):12841–12863. https://doi.org/10.5194/acp-11-12841-2011

    Article  CAS  Google Scholar 

  • Giles DM, Holben BN, Tripathi SN, Eck TF, Newcomb WW, Slutsker I, Dickerson RR, Thompson AM, Mattoo S, Wang SH et al (2011) Aerosol properties over the Indo-Gangetic Plain: a mesoscale perspective from the TIGERZ experiment. J Geophys Res 116(D18). https://doi.org/10.1029/2011JD015809

  • Giles DM, Holben BN, Eck TF, Sinyuk A, Smirnov A, Slutsker I, Dickerson R, Thompson A, Schafer J (2012) An analysis of AERONET aerosol absorption properties and classifications representative of aerosol source regions. J Geophys Res 117(D17). https://doi.org/10.1029/2012JD018127

  • Habib G, Venkataraman C, Chiapello I, Ramachandran S, Boucher O, Reddy MS (2006) Seasonal and interannual variability in absorbing aerosols over India derived from TOMS: relationship to regional meteorology and emissions. Atmos Environ 40(11):1909–1921. https://doi.org/10.1016/j.atmosenv.2005.07.077

    Article  CAS  Google Scholar 

  • Holben BN, Eck TF, Slutsker I, Tanré D, Buis JP, Setzer A, vermote E, reagan JA, Kaufman YJ, Nakajima T, Lavenu F, Jankowiak I, Smirnov A (1998) AERONET-a federated instrument network and data archive for aerosol characterisation. Remote Sens Environ 66:1–16

    Article  Google Scholar 

  • Holben BN, Tanré 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 A, O’Neill NT, pietras C, Pinker RT, Voss K, Zibordi G (2001) An emerging ground-based aerosol climatology: aerosol optical depth from AERONET. J Geophys Res 106:D11. https://doi.org/10.1029/2001JD900014

    Article  Google Scholar 

  • Hoppel WA, Fitzgerald JW, Larson RE (1985) Aerosol size distributions in air masses advecting off the east coast of the United States. J Geophys Res 90(D1):2365–2379

    Article  Google Scholar 

  • Hyer EJ, Reid JS, Zhang J (2011) An over-land aerosol optical depth data set for data assimilation by filtering, correction, and aggregation of MODIS Collection 5 optical depth retrievals. Atmos Meas Tech 4:379–408. https://doi.org/10.5194/amt-4-379-2011

    Article  CAS  Google Scholar 

  • Jethva H, Satheesh SK, Srinivasan J, Levy RC (2010) Improved retrieval of aerosol size–resolved properties from moderate resolution imaging spectroradiometer over India: role of aerosol model and surface reflectance. J Geophys Res 115:D18213. https://doi.org/10.1029/2009JD013218

    Article  Google Scholar 

  • Kahn RA, Gaitley BJ, Garay MJ, Diner DJ, Eck TF, Smirnov A, Holben BN (2010) Multiangle Imaging SpectroRadiometer global aerosol product assessment by comparison with the Aerosol Robotic Network. J Geophys Res 115(D23). https://doi.org/10.1029/2010JD014601

  • Kaskaoutis D, Badarinath K, Kumar Kharol S, Rani Sharma A, Kambezidis H (2009) Variations in the aerosol optical properties and types over the tropical urban site of Hyderabad, India. J Geophys Res 114(D22)

  • Kaufman YJ, Tanré D, Remer L, Vermote E, Chu A, holben BN (1997) Operational remote sensing of tropospheric aerosol over land from EOS moderate resolution imaging spectroradiometer. J Geophys Res 102:17 067:051–17

    Google Scholar 

  • Kaufman YJ, Tanré D, Boucher O (2002) A satellite view of aerosols in the climate system. Nature 419:215–223. https://doi.org/10.1038/nature01091

    Article  CAS  Google Scholar 

  • King MD, Menzel WP, Kaufman YJ, Tanré Bo-C G, Platnick S, Ackerman SA, Remer LA, Hubanks PA (2003) Cloud and aerosol properties, precipitable water, and profiles of temperature and water vapor from MODIS. IEEE Trans Geosci Rem Sens 41:442–56. https://doi.org/10.1109/TGRS.2002.808226

    Article  Google Scholar 

  • Kumar DB, Verma S (2016) Potential emission flux to aerosol pollutants over Bengal Gangetic plain through combined trajectory clustering and aerosol source fields analysis. Atmos Res 178:415–425. https://doi.org/10.1016/j.atmosres.2016.04.012

    Article  CAS  Google Scholar 

  • Lau KM, Kim KM (2006) Observational relationships between aerosol and Asian monsoon rainfall, and circulation. Geophys Res Lett 33(21). https://doi.org/10.1029/2006GL027546

  • Lau K, Kim M, Kim K (2006) Aerosol induced anomalies in the Asian summer monsoon: the role of the Tibetan Plateau. Clim Dyn 26(7–8):855–864. https://doi.org/10.1007/s00382-006-0114-z

    Article  Google Scholar 

  • Lau KM, Tsay SC, Hsu C, Chin M, Ramanathan V, Wu GX, Li Z, Sikka R, Holben B, Lu D, Chen H, Tartari G, Koudelova P, Ma Y, Huang J, Taniguchi K, Zhang R (2008) The joint aerosol–monsoon experiment: a new challenge for monsoon climate research. Bull Am Meteorol Soc 89(3):369–383. https://doi.org/10.1175/BAMS-89-3-369

    Article  Google Scholar 

  • Levy RC, Remer LA, Dubovik O (2007) Global aerosol optical properties and application to Moderate Resolution Imaging Spectroradiometer aerosol retrieval over land. J Geophys Res 112(D13). https://doi.org/10.1029/2006JD007815

  • Levy RC, Remer LA, Kleidman RG, Mattoo S, Ichoku C, Kahn R, Eck TF (2010) Global evaluation of the Collection 5 MODIS dark-target aerosol products over land. Atmos Chem Phys 10:10399–10420

    Article  CAS  Google Scholar 

  • Levy R, Mattoo S, Munchak L, Remer L, Sayer A, Hsu N (2013) The Collection 6 MODIS aerosol products over land and ocean. Atmos Meas Tech 6(11):2989–3034. https://doi.org/10.5194/amt-6-2989-2013

    Article  Google Scholar 

  • Levy R, Munchak L, Mattoo S, Patadia F, Remer L, Holz R (2015) Towards a long-term global aerosol optical depth record: applying a consistent aerosol retrieval algorithm to MODIS and VIIRS-observed reflectance. Atmos Meas Tech 8(10):4083–4110. https://doi.org/10.5194/amt-8-4083-2015

    Article  Google Scholar 

  • Misra A, Jayaraman A, Ganguly D (2008) Validation of MODIS derived aerosol optical depth over Western India. J Geophys Res 113(D4). https://doi.org/10.1029/2007JD009075

  • Omar AH, Won JG, Winker DM, Yoon SC, Dubovik O, McCormick MP (2005) Development of global aerosol models using cluster analysis of Aerosol Robotic Network (AERONET) measurements. J Geophys Res 110(D10). https://doi.org/10.1029/2004JD004874

  • O’Neill N, Eck T, Holben B, Smirnov A, Dubovik O, Royer A (2001) Bimodal size distribution influences on the variation of Angstrom derivatives in spectral and optical depth space. J Geophys Res 106(D9):9787–9806. https://doi.org/10.1029/2000JD900245

    Article  Google Scholar 

  • O’Neill NT, Eck TF, Smirnov A, NHolben B, Thulasiraman S (2003) Spectral discrimination of coarse and fine mode optical depth. J Geophys Res 108(D17):4559–4573. https://doi.org/10.1029/2002JD002975

    Article  Google Scholar 

  • Pani S, Verma S (2014) Variability of winter and summertime aerosols over eastern India urban environment. Atmos Res 137:112–124

    Article  CAS  Google Scholar 

  • Prasad AK, Singh RP (2007) Changes in aerosol parameters during major dust storm events (2001–2005) over the Indo-Gangetic Plains using AERONET and MODIS data. J Geophys Res 112. https://doi.org/10.1029/2006JD007778

  • Ramanathan V, Crutzen P, Lelieveld J, Mitra A, Althausen D, Andrae M, Cantrell W, Cass G, Chung C, Clarke A, Coakley J, Collins W, Conant W, Dulac F, Heintzenberg J, Heymsfield A, Holben B, Howell S, Hudson J, Jayaraman A, Kiehl J, Krishnamurti T, Lubin D, McFarquhar G, Novakov T, Orgen J, Prospero I, Quinn P, Rajeev K, Rasch P, Rupert S, Sadourny R, Valero F (2001) Indian ocean experiment: an integrated analysis of the climate forcing and effects of the great Indo-Asian haze. J Geophys Res 106(D22):28371–28398. https://doi.org/10.1029/2001JD900133

    Article  CAS  Google Scholar 

  • Reddy MS, Venkataraman C (2002a) Inventory of aerosol and sulphur dioxide emissions from India: I—fossil fuels combustion. Atmos Env 36:677–697. https://doi.org/10.1016/S1352-2310(01)00463-0

  • Reddy MS, Venkataraman C (2002b) Inventory of aerosol and sulphur dioxide emissions from India: II—biomass combustion. Atmos Env 36:699–712. https://doi.org/10.1016/S1352-2310(01)00464-2

  • Remer LA, Kaufman YJ, Tanré D, Matto S, Chu DA, Martins JV, Li RR, Ichoku C, Levy RC, Kleidman RG, Eck TF, Vermote E, Holben BN (2005) The MODIS aerosol algorithm, products, and validation. J Atmos Sci 62:947–973. https://doi.org/10.1175/JAS3385.1

    Article  Google Scholar 

  • Seibert P, Kromp-Kolb H, Kasper A, Kalina M, Puxbaum H, TJost D, Schwikowski M, Baltensperger U (1994) Transport of polluted boundary layer air from the Po valley to high-alpine sites. Atmos Environ 32:3953–3965

    Article  Google Scholar 

  • Singh R, Dey S, Tripathi S, Tare V, Holben B (2004) Variability of aerosol parameters over Kanpur, northern India. J Geophys Res 109(D23). https://doi.org/10.1029/2004JD004966

  • Singh R, Singh C, Ojha SP, Kumar AS, Kumar A (2017) Development of an improved aerosol product over the Indian subcontinent: blending model, satellite, and ground-based estimates. J Geophys Res 122(1):367–390. https://doi.org/10.1002/2016JD025335

    CAS  Article  Google Scholar 

  • Srivastava A, Tiwari S, Devara P, Bisht D, Srivastava MK, Tripathi S, Goloub P, Holben B (2011) Pre-monsoon aerosol characteristics over the Indo-Gangetic Basin: implications to climatic impact. Ann Geo 29(5):789–804. https://doi.org/10.5194/angeo-29-789-2011

    Article  Google Scholar 

  • Stohl A (1996) Trajectory statistics—a new method to establish source-receptor relationships of air pollutants and its application to the transport of particular sulfate in Europe. Atmos Environ 30:579–587

    Article  CAS  Google Scholar 

  • Tanré D, Kaufman YJ, Herman M, Mattoo S (1997) Remote sensing of aerosol properties over oceans using the MODIS/EOS spectral radiances. J Geophys Res 102(D14):16971–16988

    Article  Google Scholar 

  • Textor C, Schulz M, Guibert S, Kinne S, Balkanski Y, Bauer S, Berntsen T, Berglen T, Boucher O, Chin M et al (2006) Analysis and quantification of the diversities of aerosol life cycles within AeroCom. Atmos Chem Phys 6(7):1777–1813

    Article  CAS  Google Scholar 

  • Tripathi SN, Dey S, Chandel A, Srivastava S, Singh RP, Holben BN (2005) Comparision of MODIS and AERONET derived aerosol optical depth over the Ganga Basin, India. Ann Geophys 23:1093–1101

    Article  Google Scholar 

  • Venkataraman C, Habib G, Kadamba D, Shrivastava M, Leon JF, Crouzille B, Boucher O, Streets D (2006) Emissions from open biomass burning in India: integrating the inventory approach with high-resolution Moderate Resolution Imaging Spectroradiometer (MODIS) active-fire and land cover data. Global Biogeochem Cycles 20(2). https://doi.org/10.1029/2005GB002547

  • Verma S, Pani S, Bhanja S (2013a) Sources and radiative effects of wintertime black carbon aerosols in an urban atmosphere in east India. Chemosphere 90:260–269. https://doi.org/10.1016/j.chemosphere.2012.06.063

  • Verma S, Payra S, Gautam R, Prakash D, Soni M, Holben B, Bell S (2013b) Dust events and their influence on aerosol optical properties over Jaipur in Northwestern India. Environ Monit Assess 185(9):7327–7342. https://doi.org/10.1007/s10661-013-3103-9

  • Verma S, Bhanja SN, Pani SK, Misra A (2014) Aerosol optical and physical properties during winter monsoon pollution transport in an urban environment. Environ Sci Pollut Res 21:4977–4994. https://doi.org/10.1007/s11356-013-2383-5

    Article  CAS  Google Scholar 

  • Verma S, Prakash D, Ricaud P, Payra S, Attié J L, Soni M (2015) A new classification of aerosol sources and types as measured over Jaipur, India. Aerosol Air Qual Res 15:985–993. https://doi.org/10.4209/aaqr.2014.07.0143

    Article  Google Scholar 

  • Verma S, Priyadharshini B, Pani S, Kumar DB, Faruqi A, Bhanja S, Mandal M (2016) Aerosol extinction properties over coastal West Bengal Gangetic plain under inter-seasonal and sea breeze influenced transport processes. Atmos Res 167:224–236. https://doi.org/10.1016/j.atmosres.2015.07.021

    Article  Google Scholar 

  • Verma S, Reddy DM, Ghosh S, Kumar DB, Chowdhury AK (2017) Estimates of spatially and temporally resolved constrained black carbon emission over the Indian region using a strategic integrated modelling approach. Atmos Res 195:9–19. https://doi.org/10.1016/j.atmosres.2017.05.007

    Article  CAS  Google Scholar 

  • Vinoj V, Rasch PJ, Wang H, Yoon JH, Ma PL, Landu K, Singh B (2014) Short-term modulation of Indian summer monsoon rainfall by West Asian dust. Nat Geosci 7(4):308–313. https://doi.org/10.1038/ngeo2107

    Article  CAS  Google Scholar 

  • Wang YQ, Zhang X, Arimoto R (2006) The contribution from distant dust sources to the atmospheric particulate matter loadings at Xian, China during spring. Sci Total Environ 368:875–883. https://doi.org/10.1016/j.scitotenv.2006.03.040

    Article  CAS  Google Scholar 

  • Xiao Q, Zhang H, Choi M, Li S, Kondragunta S, Kim J, Holben B, Levy R, Liu Y (2015) Evaluation of VIIRS, GOCI, and MODIS Collection 6 AOD retrievals against ground sunphotometer measurements over East Asia. Atmos Chem Phys Dis 15(15):20709–20741. https://doi.org/10.5194/acp-16-1255-2016

    Article  CAS  Google Scholar 

  • Zhao TX, Stowe L, Smirnov A, Crosby D, Sapper J, McClain C (2002) Development of a global validation package for satellite oceanic aerosol optical thickness retrieval based on AERONET observations and its application to NOAA/NESDIS operational aerosol retrievals. J Atmos Sci 53(3):294–312. https://doi.org/10.1175/1520-0469(2002)059<0294:DOAGVP>2.0.CO;2

    Article  Google Scholar 

Download references

Acknowledgments

We would like to thank the principal investigators and their staff for supporting and maintaining instruments at the AERONET sites. We would also like to thank the AERONET project staff for calibrating, processing, and disseminating these data.

Funding

Experimental work at the Indian Institute of Technology Kharagpur (IIT-KGP) was supported through resources received from NASA, USA, and IIT-KGP and partially through a grant received from Department of Science and Technology, Govt. of India (SR/FTP/ES-54/2007).

Author information

Affiliations

Authors

Corresponding author

Correspondence to Shubha Verma.

Additional information

Responsible Editor: Gerhard Lammel

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Priyadharshini, B., Verma, S., Giles, D.M. et al. Discerning the pre-monsoon urban atmosphere aerosol characteristic and its potential source type remotely sensed by AERONET over the Bengal Gangetic plain. Environ Sci Pollut Res 25, 22163–22179 (2018). https://doi.org/10.1007/s11356-018-2290-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11356-018-2290-x

Keywords

  • AERONET
  • Urban atmosphere
  • Optical and source characteristics
  • Potential aerosol source fields
  • Anthropogenic emissions
  • Dust aerosols
  • Bengal Gangetic plain
  • Fine and coarse mode AOD
  • MODIS C005
  • C006