Literature DB >> 12875401

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

An Li1, Jae-Kil Jang, Peter A Scheff.   

Abstract

A chemical mass balance model developed by the U.S. EPA, CMB8.2, was used to apportion the major sources of PAHs found in the sediments of Lake Calumet and surrounding wetlands in southeast Chicago. The results indicate the feasibility of applying CMB8.2 to pollutants found in aquatic sediments. To establish the fingerprints of PAH sources, 28 source profiles were collected from the literature. Some of the source profiles were modified based on the gas/particle partitioning of individual PAHs. The profiles under the same source category were averaged, and the fingerprints of six sources were established, including coke oven, residential coal burning, coal combustion in power generation, gasoline engine exhaust, diesel engine exhaust, and traffic tunnel air. Nine model operations with a total of 422 runs were made, differing in the choice of fitting species and the sources involved. Modeling results indicate that coke ovens and traffic are the two major sources of PAHs in the area. For traffic sources, either traffic tunnel alone or both diesel and gasoline engine exhausts were entered into the model. These two groups of model operations produced comparable results with regard to the PAH contributions from road traffic. Although the steel industries have shrunk in recent years, closed and still-active coke plants continue to contribute significantly to the PAH loadings. Overall, the average contribution from coke oven emissions calculated by different operations ranges from 21% to 53% of all sources, and that from traffic ranges from 27% to 63%. The pattern of source contributions shows spatial and temporal variations.

Entities:  

Mesh:

Substances:

Year:  2003        PMID: 12875401     DOI: 10.1021/es026309v

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  25 in total

1.  Polycyclic aromatic hydrocarbons (PAHs) in sediments from a typical urban impacted river: application of a comprehensive risk assessment.

Authors:  Wihan Pheiffer; Laura P Quinn; Hindrik Bouwman; Nico J Smit; Rialet Pieters
Journal:  Ecotoxicology       Date:  2018-02-05       Impact factor: 2.823

2.  Development and application of three-dimensional potential source contribution function (3D-PSCF).

Authors:  In Sun Kim; Daehyun Wee; Yong Pyo Kim; Ji Yi Lee
Journal:  Environ Sci Pollut Res Int       Date:  2016-05-06       Impact factor: 4.223

3.  Evaluating the main sources of groundwater pollution in the southern Tehran aquifer using principal component factor analysis.

Authors:  Hooman Ghahremanzadeh; Roohollah Noori; Akbar Baghvand; Touraj Nasrabadi
Journal:  Environ Geochem Health       Date:  2017-12-16       Impact factor: 4.609

4.  Distribution and vertical migration of polycyclic aromatic hydrocarbons in forest soil pits of southeastern Tibet.

Authors:  Yonggang Xue; Xiaoping Wang; Ping Gong; Tandong Yao
Journal:  Environ Geochem Health       Date:  2017-05-05       Impact factor: 4.609

5.  Polycyclic aromatic hydrocarbons in the soils of a densely populated region and associated human health risks: the Campania Plain (Southern Italy) case study.

Authors:  Stefano Albanese; Barbara Fontaine; Wei Chen; Annamaria Lima; Claudia Cannatelli; Alessandro Piccolo; Shihua Qi; Menghan Wang; Benedetto De Vivo
Journal:  Environ Geochem Health       Date:  2014-06-08       Impact factor: 4.609

6.  PAHs (polycyclic aromatic hydrocarbons), nitro-PAHs, and hopane and sterane biomarkers in sediments of southern Lake Michigan, USA.

Authors:  Lei Huang; Sergei M Chernyak; Stuart A Batterman
Journal:  Sci Total Environ       Date:  2014-05-03       Impact factor: 7.963

7.  Uptake of PAHs by cabbage root and leaf in vegetable plots near a large coking manufacturer and associations with PAHs in cabbage core.

Authors:  GuanNan Xiong; YunHui Zhang; YongHong Duan; ChuanYang Cai; Xin Wang; JingYa Li; Shu Tao; WenXin Liu
Journal:  Environ Sci Pollut Res Int       Date:  2017-06-27       Impact factor: 4.223

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

Authors:  Lidong Xue; Yinhai Lang; Aixia Liu; Jie Liu
Journal:  Environ Monit Assess       Date:  2009-03-12       Impact factor: 2.513

9.  Seasonal variation, risk assessment and source estimation of PM 10 and PM10-bound PAHs in the ambient air of Chiang Mai and Lamphun, Thailand.

Authors:  Petch Pengchai; Somporn Chantara; Khajornsak Sopajaree; Sunanta Wangkarn; Urai Tengcharoenkul; Mongkon Rayanakorn
Journal:  Environ Monit Assess       Date:  2008-08-08       Impact factor: 2.513

10.  Measurement of particulate phase polycyclic aromatic hydrocarbon (PAHs) around a petroleum refinery.

Authors:  Padma S Rao; M Faiyaz Ansari; P Pipalatkar; A Kumar; P Nema; S Devotta
Journal:  Environ Monit Assess       Date:  2007-06-12       Impact factor: 2.513

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.