Literature DB >> 19280357

Application of CMB model for source apportionment of polycyclic aromatic hydrocarbons (PAHs) in coastal surface sediments from Rizhao offshore area, China.

Lidong Xue1, Yinhai Lang, Aixia Liu, Jie Liu.   

Abstract

Polycyclic aromatic hydrocarbons (PAHs) in coastal surface sediments from Rizhao offshore area were analyzed by gas chromatography-mass spectrometry. A chemical mass balance (CMB) model developed by the U.S. Environmental Protection Agency (EPA), CMB8.2, was used to apportion sources of PAHs. Seven possible sources, including coal residential, coal power plant, diesel engines exhaust, gasoline engines exhaust, coke oven, diesel oil leaks, and wood burning, were chosen as the major contributors for PAHs in coastal surface sediments. To establish the fingerprints of the seven sources, source profiles were collected from literatures. After including degradation factors, the modified model results indicate that diesel oil leaks, diesel engines exhaust, and coal burning were the three major sources of PAHs. The source contributions estimated by the EPA's CMB8.2 model were 9.25%, 15.05%, and 75.70% for diesel oil leaks, diesel engines exhaust, and coal burning, respectively.

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Year:  2009        PMID: 19280357     DOI: 10.1007/s10661-009-0816-x

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  9 in total

1.  Mass balance model of source apportionment, transport and fate of PAHs in Lac Saint Louis, Quebec.

Authors:  D Mackay; B Hickie
Journal:  Chemosphere       Date:  2000-09       Impact factor: 7.086

2.  Source apportionment of sediment PAHs in Lake Calumet, Chicago: application of factor analysis with nonnegative constraints.

Authors:  Philip A Bzdusek; Erik R Christensen; An Li; Qimeng Zou
Journal:  Environ Sci Technol       Date:  2004-01-01       Impact factor: 9.028

3.  Sediment contaminants in Casco Bay, Maine: inventories, sources, and potential for biological impact.

Authors:  M C Kennicutt; T L Wade; B J Presley; A G Requejo; J M Brooks; G J Denoux
Journal:  Environ Sci Technol       Date:  1994-01-01       Impact factor: 9.028

4.  Receptor models.

Authors:  G E Gordon
Journal:  Environ Sci Technol       Date:  1988-10       Impact factor: 9.028

5.  PAHs in dated sediments of Ashtabula River, Ohio, USA.

Authors:  K Li; E R Christensen; R P Van Camp; I Imamoglu
Journal:  Environ Sci Technol       Date:  2001-07-15       Impact factor: 9.028

6.  The distribution and sources of polycyclic aromatic hydrocarbons in surface sediments along the Egyptian Mediterranean coast.

Authors:  Ahmed El Nemr; Tarek O Said; Azza Khaled; Amany El-Sikaily; Aly M A Abd-Allah
Journal:  Environ Monit Assess       Date:  2006-10-21       Impact factor: 2.513

7.  Application of EPA CMB8.2 model for source apportionment of sediment PAHs in Lake Calumet, Chicago.

Authors:  An Li; Jae-Kil Jang; Peter A Scheff
Journal:  Environ Sci Technol       Date:  2003-07-01       Impact factor: 9.028

8.  Source apportionment of PAHs in dated sediments from the Black River, Ohio.

Authors:  Sheng-He Gu; Andrew C Kralovec; Erik R Christensen; Ryan P Van Camp
Journal:  Water Res       Date:  2003-05       Impact factor: 11.236

9.  Determination of PAH sources in dated sediments from Green Bay, Wisconsin, by a chemical mass balance model.

Authors:  M C Su; E R Christensen; J F Karls
Journal:  Environ Pollut       Date:  1998       Impact factor: 8.071

  9 in total
  2 in total

1.  Source apportionment of polycyclic aromatic carbons (PAHs) in sediment core from Honghu Lake, central China: comparison study of three receptor models.

Authors:  Huang Zheng; Dan Yang; Tianpeng Hu; Ying Li; Gehao Zhu; Xinli Xing; Shihua Qi
Journal:  Environ Sci Pollut Res Int       Date:  2017-09-22       Impact factor: 4.223

2.  Bioavailability of Polycyclic Aromatic Hydrocarbons and their Potential Application in Eco-risk Assessment and Source Apportionment in Urban River Sediment.

Authors:  Xunan Yang; Liuqian Yu; Zefang Chen; Meiying Xu
Journal:  Sci Rep       Date:  2016-03-15       Impact factor: 4.379

  2 in total

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