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Volumn 22, Issue 2, 2015, Pages 1329-1343

Temporal variability of MODIS aerosol optical depth and chemical characterization of airborne particulates in Varanasi, India

Author keywords

Aerosol optical depth; Metal; Organics; Particulate; Varanasi; Water soluble ions

Indexed keywords

AEROSOL; AEROSOL COMPOSITION; CARDIOVASCULAR DISEASE; CONCENTRATION (COMPOSITION); HEALTH RISK; IONIC COMPOSITION; MODIS; MONITORING; OPTICAL DEPTH; PARTICULATE MATTER; RESPIRATORY DISEASE; SEASONAL VARIATION; SPATIOTEMPORAL ANALYSIS; TRACE METAL;

EID: 84931029641     PISSN: 09441344     EISSN: 16147499     Source Type: Journal    
DOI: 10.1007/s11356-014-3418-2     Document Type: Article
Times cited : (55)

References (34)
  • 3
    • 79451474094 scopus 로고    scopus 로고
    • Development and performance evaluation of statistical models correlating air pollutants and meteorological variables at Pantnagar, India
    • COI: 1:CAS:528:DC%2BC3MXhs1ejt7g%3D
    • Banerjee T, Singh SB, Srivastava RK (2011a) Development and performance evaluation of statistical models correlating air pollutants and meteorological variables at Pantnagar, India. Atmos Res 99:505–517
    • (2011) Atmos Res , vol.99 , pp. 505-517
    • Banerjee, T.1    Singh, S.B.2    Srivastava, R.K.3
  • 4
    • 79951510420 scopus 로고    scopus 로고
    • Application of air pollution dispersion modeling for source-contribution assessment and model performance evaluation at integrated industrial estate-Pantnagar
    • COI: 1:CAS:528:DC%2BC3MXhvFehsLs%3D
    • Banerjee T, Barman SC, Srivastava RK (2011b) Application of air pollution dispersion modeling for source-contribution assessment and model performance evaluation at integrated industrial estate-Pantnagar. Environ Pollut 159:865–875
    • (2011) Environ Pollut , vol.159 , pp. 865-875
    • Banerjee, T.1    Barman, S.C.2    Srivastava, R.K.3
  • 5
    • 84865822712 scopus 로고    scopus 로고
    • Key issues in controlling air pollutants in Dhaka, Bangladesh
    • Begum BA, Biswas SK, Hopke PK (2011) Key issues in controlling air pollutants in Dhaka, Bangladesh. Atmos Environ 45(40:121):11–16
    • (2011) Atmos Environ , vol.45 , pp. 11-16
    • Begum, B.A.1    Biswas, S.K.2    Hopke, P.K.3
  • 6
    • 51349103698 scopus 로고    scopus 로고
    • Evaluation of the CMB and PMF models using organic molecular markers in fine particulate matter collected during the Pittsburgh air quality study
    • COI: 1:CAS:528:DC%2BD1cXhtFSqs7nJ
    • Bullock KR, Duvall RM, Norris GA, McDow SR, Hays MD (2008) Evaluation of the CMB and PMF models using organic molecular markers in fine particulate matter collected during the Pittsburgh air quality study. Atmos Environ 42:6897–6904
    • (2008) Atmos Environ , vol.42 , pp. 6897-6904
    • Bullock, K.R.1    Duvall, R.M.2    Norris, G.A.3    McDow, S.R.4    Hays, M.D.5
  • 7
    • 0016113357 scopus 로고
    • Composition of organic constituents in breathable airborne particulate matter near a highway
    • COI: 1:CAS:528:DyaE2cXlsFyjtL0%3D
    • Ciaccio LL, Rubino RL, Flores J (1974) Composition of organic constituents in breathable airborne particulate matter near a highway. Environ Sci Technol 8:935–942
    • (1974) Environ Sci Technol , vol.8 , pp. 935-942
    • Ciaccio, L.L.1    Rubino, R.L.2    Flores, J.3
  • 8
    • 84888812344 scopus 로고    scopus 로고
    • Source apportionment of size-segregated atmospheric particles based on the major water-soluble components in Lecce (Italy)
    • Continia D, Cesaria D, Genga A, Siciliano M, Ielpo P, Guascito MR, Conte M (2014) Source apportionment of size-segregated atmospheric particles based on the major water-soluble components in Lecce (Italy). Sci Total Environ 472:248–261
    • (2014) Sci Total Environ , vol.472 , pp. 248-261
    • Continia, D.1    Cesaria, D.2    Genga, A.3    Siciliano, M.4    Ielpo, P.5    Guascito, M.R.6    Conte, M.7
  • 9
    • 0025943347 scopus 로고
    • Mutagenicity spectra in bacterial strains of airborne and engine exhaust particulate extracts
    • COI: 1:CAS:528:DyaK38Xltlensw%3D%3D
    • Crebelli R, Fuselli S, Conti G, Conti L, Carere A (1991) Mutagenicity spectra in bacterial strains of airborne and engine exhaust particulate extracts. Mutat Res 261:237–248
    • (1991) Mutat Res , vol.261 , pp. 237-248
    • Crebelli, R.1    Fuselli, S.2    Conti, G.3    Conti, L.4    Carere, A.5
  • 10
    • 33646358051 scopus 로고    scopus 로고
    • Dust storms detection over the Indo-Gangetic basin using multi sensor data
    • El-Askary H, Gautam R, Singh RP, Kafatos M (2006) Dust storms detection over the Indo-Gangetic basin using multi sensor data. Adv Space Res 37:728–733
    • (2006) Adv Space Res , vol.37 , pp. 728-733
    • El-Askary, H.1    Gautam, R.2    Singh, R.P.3    Kafatos, M.4
  • 11
    • 84966608125 scopus 로고    scopus 로고
    • Inventory of U.S. greenhouse gas emissions and sinks: 1990–2012
    • EPA (1999) Inventory of U.S. greenhouse gas emissions and sinks: 1990–2012. Environment protection agency
    • (1999) Environment protection agency
  • 12
    • 79954416367 scopus 로고    scopus 로고
    • Metals associated with airborne particulate matter in road dust and tree bark collected in a megacity (Buenos Aires, Argentina)
    • COI: 1:CAS:528:DC%2BC3cXhsVaitr3K
    • Fujiwara FG, Gomez DR, Dawidowski L, Perelman P, Faggi A (2011) Metals associated with airborne particulate matter in road dust and tree bark collected in a megacity (Buenos Aires, Argentina). Ecol Indic 11:240–247
    • (2011) Ecol Indic , vol.11 , pp. 240-247
    • Fujiwara, F.G.1    Gomez, D.R.2    Dawidowski, L.3    Perelman, P.4    Faggi, A.5
  • 13
    • 79952448145 scopus 로고    scopus 로고
    • Source apportionment of ambient particles: comparison of positive matrix factorization analysis applied to particle size distribution and chemical composition data
    • COI: 1:CAS:528:DC%2BC3MXjtVGht78%3D
    • Gu J, Pitz M, Schenlle-Kreis J, Diemer J, Reller A, Zimmermann R, Soentgen J, Stoelzel M, Wichmann HE, Peters A, Cyrys J (2011) Source apportionment of ambient particles: comparison of positive matrix factorization analysis applied to particle size distribution and chemical composition data. Atmos Environ 45:1849–1857
    • (2011) Atmos Environ , vol.45 , pp. 1849-1857
    • Gu, J.1    Pitz, M.2    Schenlle-Kreis, J.3    Diemer, J.4    Reller, A.5    Zimmermann, R.6    Soentgen, J.7    Stoelzel, M.8    Wichmann, H.E.9    Peters, A.10    Cyrys, J.11
  • 14
    • 33745944915 scopus 로고    scopus 로고
    • 2.5 and benzene soluble organic fraction of particulate matter in an urban area of Kolkata, India
    • COI: 1:CAS:528:DC%2BD28XmvFSgsrg%3D
    • 2.5 and benzene soluble organic fraction of particulate matter in an urban area of Kolkata, India. Environ Monit Assess 115:205–222
    • (2006) Environ Monit Assess , vol.115 , pp. 205-222
    • Gupta, A.K.1    Nag, S.2    Mukhopadhyay, U.K.3
  • 15
    • 77955430901 scopus 로고    scopus 로고
    • Metallic components of traffic induced urban aerosol, their spatial variation, and source apportionment
    • COI: 1:CAS:528:DC%2BC3cXps1CgtLc%3D
    • Kar S, Maity JP, Samal AC, Santra SC (2010) Metallic components of traffic induced urban aerosol, their spatial variation, and source apportionment. Environ Monit Assess 168:561–574
    • (2010) Environ Monit Assess , vol.168 , pp. 561-574
    • Kar, S.1    Maity, J.P.2    Samal, A.C.3    Santra, S.C.4
  • 16
    • 0037068444 scopus 로고    scopus 로고
    • A satellite view of aerosols in the climate system
    • COI: 1:CAS:528:DC%2BD38XmvV2qt7o%3D
    • Kaufman YJ, Tanre D, Boucher O (2002) A satellite view of aerosols in the climate system. Nature 419:215–223
    • (2002) Nature , vol.419 , pp. 215-223
    • Kaufman, Y.J.1    Tanre, D.2    Boucher, O.3
  • 17
    • 0033180897 scopus 로고    scopus 로고
    • Relationships between size segregated mass concentration data and ultrafine particle number concentrations in urban areas
    • COI: 1:CAS:528:DyaK1MXjtFSrtrc%3D
    • Keywood MD, Ayers GP, Gras JL, Gillett RW, Cohen DD (1999) Relationships between size segregated mass concentration data and ultrafine particle number concentrations in urban areas. Atmos Environ 33:2907–2913
    • (1999) Atmos Environ , vol.33 , pp. 2907-2913
    • Keywood, M.D.1    Ayers, G.P.2    Gras, J.L.3    Gillett, R.W.4    Cohen, D.D.5
  • 18
    • 79955625522 scopus 로고    scopus 로고
    • Elemental characterization and source identification of PM2.5 using multivariate analysis at the suburban site of north-east India
    • COI: 1:CAS:528:DC%2BC3cXhtFKksbzK
    • Khare P, Baruah BP (2010) Elemental characterization and source identification of PM2.5 using multivariate analysis at the suburban site of north-east India. Atmos Res 98:148–162
    • (2010) Atmos Res , vol.98 , pp. 148-162
    • Khare, P.1    Baruah, B.P.2
  • 19
    • 33846912720 scopus 로고    scopus 로고
    • Using aerosol optical thickness to predict ground-level PM2.5 concentrations in the St. Louis area: a comparison between MISR and MODIS
    • Liu Y, Franklin M, Kahn R, Koutrakis P (2007) Using aerosol optical thickness to predict ground-level PM2.5 concentrations in the St. Louis area: a comparison between MISR and MODIS. Remote Sens Environ 107:33–44
    • (2007) Remote Sens Environ , vol.107 , pp. 33-44
    • Liu, Y.1    Franklin, M.2    Kahn, R.3    Koutrakis, P.4
  • 21
    • 28844456021 scopus 로고    scopus 로고
    • A study on trace elemental composition of atmospheric aerosols at a semi-arid urban site using ICP-MS technique
    • Mouli PC, Mohan SV, Balaram V, Kumar MP, Reddy SJ (2006) A study on trace elemental composition of atmospheric aerosols at a semi-arid urban site using ICP-MS technique. Atmos Environ 40:136–146
    • (2006) Atmos Environ , vol.40 , pp. 136-146
    • Mouli, P.C.1    Mohan, S.V.2    Balaram, V.3    Kumar, M.P.4    Reddy, S.J.5
  • 22
    • 0026614078 scopus 로고
    • Air pollution concentration in Varanasi, India
    • COI: 1:CAS:528:DyaK38XkslGntLY%3D
    • Pandey J, Agrawal M, Khanam N, Narayan D, Rao DN (1992) Air pollution concentration in Varanasi, India. Atmos Environ 26B(1):91–98
    • (1992) Atmos Environ , vol.26B , Issue.1 , pp. 91-98
    • Pandey, J.1    Agrawal, M.2    Khanam, N.3    Narayan, D.4    Rao, D.N.5
  • 23
    • 84856547135 scopus 로고    scopus 로고
    • Critical review of receptor modelling for particulate matter: case study of India
    • COI: 1:CAS:528:DC%2BC38XhslehsLw%3D
    • Pant P, Harrison RM (2012) Critical review of receptor modelling for particulate matter: case study of India. Atmos Environ 49:1–12
    • (2012) Atmos Environ , vol.49 , pp. 1-12
    • Pant, P.1    Harrison, R.M.2
  • 24
    • 52249117223 scopus 로고    scopus 로고
    • Assessing the genotoxicity of urban air pollutants in Varanasi City using Tradescantia micronucleus (Trad-MCN) bioassay
    • COI: 1:CAS:528:DC%2BD1cXhtFCksbvJ
    • Prajapati SK, Tripathi BD (2008) Assessing the genotoxicity of urban air pollutants in Varanasi City using Tradescantia micronucleus (Trad-MCN) bioassay. Environ Int 34:1092–1096
    • (2008) Environ Int , vol.34 , pp. 1092-1096
    • Prajapati, S.K.1    Tripathi, B.D.2
  • 25
    • 78649755832 scopus 로고    scopus 로고
    • Day-night variability of EC, OC, WSOC and inorganic ions in urban environment of Indo-Gangetic plain: implications to secondary aerosol formation
    • COI: 1:CAS:528:DC%2BC3cXhsFWisLvI
    • Ram K, Sarin MM (2011) Day-night variability of EC, OC, WSOC and inorganic ions in urban environment of Indo-Gangetic plain: implications to secondary aerosol formation. Atmos Environ 45:460–468
    • (2011) Atmos Environ , vol.45 , pp. 460-468
    • Ram, K.1    Sarin, M.M.2
  • 26
    • 84856512832 scopus 로고    scopus 로고
    • Aerosol optical depth trends over different regions of India
    • COI: 1:CAS:528:DC%2BC38Xhslehu7o%3D
    • Ramachandran S, Kedia S, Srivastava R (2012) Aerosol optical depth trends over different regions of India. Atmos Environ 49:338–347
    • (2012) Atmos Environ , vol.49 , pp. 338-347
    • Ramachandran, S.1    Kedia, S.2    Srivastava, R.3
  • 27
    • 56449092027 scopus 로고    scopus 로고
    • Air pollution, greenhouse gases and climate change global and regional perspectives
    • COI: 1:CAS:528:DC%2BD1cXhsVegu7nF
    • Ramanathan V, Feng Y (2009) Air pollution, greenhouse gases and climate change global and regional perspectives. Atmos Environ 43:37–50
    • (2009) Atmos Environ , vol.43 , pp. 37-50
    • Ramanathan, V.1    Feng, Y.2
  • 28
    • 25844462930 scopus 로고    scopus 로고
    • 2.5 and characterization of PM10 in the city of Kanpur, India
    • COI: 1:CAS:528:DC%2BD2MXhtVCrs7jL
    • 2.5 and characterization of PM10 in the city of Kanpur, India. Atmos Environ 39:6015–6026
    • (2005) Atmos Environ , vol.39 , pp. 6015-6026
    • Sharma, M.1    Maloo, S.2
  • 30
    • 72049102342 scopus 로고    scopus 로고
    • Metallic species in ambient particulate matter at rural and urban location of Delhi
    • COI: 1:CAS:528:DC%2BD1MXhsFOqs7jN
    • Shridhar V, Khillare PS, Agarwal T, Ray S (2010) Metallic species in ambient particulate matter at rural and urban location of Delhi. J Hazard Mater 175:600–607
    • (2010) J Hazard Mater , vol.175 , pp. 600-607
    • Shridhar, V.1    Khillare, P.S.2    Agarwal, T.3    Ray, S.4
  • 31
    • 43049169873 scopus 로고    scopus 로고
    • Inter-comparison of receptor models for PM source apportionment case study in an industrial area
    • COI: 1:CAS:528:DC%2BD1cXls1KktrY%3D
    • Viana M, Pandolfia M, Minguillo MC, Querola X, Alastueya A, Monfortb E, Celadesb I (2008) Inter-comparison of receptor models for PM source apportionment case study in an industrial area. Atmos Environ 42:3820–3832
    • (2008) Atmos Environ , vol.42 , pp. 3820-3832
    • Viana, M.1    Pandolfia, M.2    Minguillo, M.C.3    Querola, X.4    Alastueya, A.5    Monfortb, E.6    Celadesb, I.7
  • 32
    • 1642413668 scopus 로고    scopus 로고
    • 2.5 mass implications for air quality studies
    • 2.5 mass implications for air quality studies. Geophys Res Lett 30:1944–8007
    • (2003) Geophys Res Lett , vol.30 , pp. 1944-8007
    • Wang, J.1    Christopher, S.A.2
  • 33
    • 85028138716 scopus 로고    scopus 로고
    • Global burden of disease 2013
    • WHO (2013). Global burden of disease 2013. World health organization
    • (2013) World health organization


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