Literature DB >> 12418730

Identification of sources contributing to Mid-Atlantic regional aerosol.

Jong Hoon Lee1, Yasuko Yoshida, Barbara J Turpin, Philip K Hopke, Richard L Poirot, Paul J Lioy, James C Oxley.   

Abstract

Source types or source regions contributing to the concentration of atmospheric fine particles measured at Brigantine National Wildlife Refuge, NJ, were identified using a factor analysis model called Positive Matrix Factorization (PMF). Cluster analysis of backward air trajectories on days of high- and low-factor concentrations was used to link factors to potential source regions. Brigantine is a Class I visibility area with few local sources in the center of the eastern urban corridor and is therefore a good location to study Mid-Atlantic regional aerosol. Sulfate (expressed as ammonium sulfate) was the most abundant species, accounting for 49% of annual average fine mass. Organic compounds (22%; expressed as 1.4 x organic carbon) and ammonium nitrate (10%) were the next abundant species. Some evidence herein suggests that secondary organic aerosol formation is an important contributor to summertime regional aerosol. Nine factors were identified that contributed to PM2.5 mass concentrations: coal combustion factors (66%, summer and winter), sea salt factors (9%, fresh and aged), motor vehicle/mixed combustion (8%), diesel/Zn-Pb (6%), incinerator/industrial (5%), oil combustion (4%), and soil (2%). The aged sea salt concentrations were highest in springtime, when the land breeze-sea breeze cycle is strongest. Comparison of backward air trajectories of high- and low-concentration days suggests that Brigantine is surrounded by sources of oil combustion, motor vehicle/mixed combustion, and waste incinerator/industrial emissions that together account for 17% of PM2.5 mass. The diesel/Zn-Pb factor was associated with sources north and west of Brigantine. Coal combustion factors were associated with coal-fired power plants west and southwest of the site. Particulate carbon was associated not only with oil combustion, motor vehicle/mixed combustion, waste incinerator/industrial, and diesel/Pb-Zn, but also with the coal combustion factors, perhaps through common transport.

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Year:  2002        PMID: 12418730     DOI: 10.1080/10473289.2002.10470850

Source DB:  PubMed          Journal:  J Air Waste Manag Assoc        ISSN: 1096-2247            Impact factor:   2.235


  6 in total

1.  PM2.5 of ambient origin: estimates and exposure errors relevant to PM epidemiology.

Authors:  Qing Yu Meng; Barbara J Turpin; Andrea Polidori; Jong Hoon Lee; Clifford Weisel; Maria Morandi; Steven Colome; Thomas Stock; Arthur Winer; Jenfeng Zhang
Journal:  Environ Sci Technol       Date:  2005-07-15       Impact factor: 9.028

2.  Source apportionment of PM10 and PM(2.5) at Tocopilla, Chile (22 degrees 05' S, 70 degrees 12' W).

Authors:  Héctor Jorquera
Journal:  Environ Monit Assess       Date:  2008-05-30       Impact factor: 2.513

3.  Source apportionment and location by selective wind sampling and Positive Matrix Factorization.

Authors:  Elisa Venturini; Ivano Vassura; Simona Raffo; Laura Ferroni; Elena Bernardi; Fabrizio Passarini
Journal:  Environ Sci Pollut Res Int       Date:  2014-02-01       Impact factor: 4.223

4.  Chemical characteristics and source apportionment of PM2.5 using PCA/APCS, UNMIX, and PMF at an urban site of Delhi, India.

Authors:  Srishti Jain; Sudhir Kumar Sharma; Nikki Choudhary; Renu Masiwal; Mohit Saxena; Ashima Sharma; Tuhin Kumar Mandal; Anshu Gupta; Naresh Chandra Gupta; Chhemendra Sharma
Journal:  Environ Sci Pollut Res Int       Date:  2017-04-28       Impact factor: 4.223

5.  Source proximity and residential outdoor concentrations of PM(2.5), OC, EC, and PAHs.

Authors:  A Polidori; J Kwon; B J Turpin; C Weisel
Journal:  J Expo Sci Environ Epidemiol       Date:  2009-07-22       Impact factor: 5.563

6.  Chemical Composition and Source Apportionment of PM2.5 in Urban Areas of Xiangtan, Central South China.

Authors:  Xiaoyao Ma; Zhenghui Xiao; Lizhi He; Zongbo Shi; Yunjiang Cao; Zhe Tian; Tuan Vu; Jisong Liu
Journal:  Int J Environ Res Public Health       Date:  2019-02-13       Impact factor: 3.390

  6 in total

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