Literature DB >> 23206993

Source apportionment for sediment PAHs from the Daliao River (China) using an extended fit measurement mode of chemical mass balance model.

Hai-Yang Chen1, Yan-Guo Teng, Jin-Sheng Wang.   

Abstract

To minimize the selection uncertainties of source profiles and obtain the higher model performance, an extended fit measurement mode for chemical mass balance model (EFMM-CMB) was proposed and applied to estimate source contributions for sediment PAHs from the Daliao River around which is the important industrial bases with oil, chemical and steel factories in the northeast part of China. Based on least squares fitting method, EFMM-CMB initially calculated the fit measurement index to every one of the possible combinations that can be made from the source profiles. Any successful applications of the fitting method were ranked according to performance measures, and then determined by maximizing an overall fitting index for a unique solution. Apportionment results from two case scenarios showed that the values of performance measures for EFMM-CMB were better to that for CMB8.2 results. With species selection of high molecular weight PAHs, power plant (45.75%), biomass burning (29.34%) and traffic tunnel (10.59%) were identified as the major sources of sediment PAHs from the Daliao River region.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 23206993     DOI: 10.1016/j.ecoenv.2012.11.007

Source DB:  PubMed          Journal:  Ecotoxicol Environ Saf        ISSN: 0147-6513            Impact factor:   6.291


  2 in total

1.  Exposure to dust-bound PAHs and associated carcinogenic risk in primitive and traditional cooking practices in Pakistan.

Authors:  Atif Kamal; Riffat Naseem Malik; Tania Martellini; Alessandra Cincinelli
Journal:  Environ Sci Pollut Res Int       Date:  2015-04-26       Impact factor: 4.223

2.  Seasonal and Spatial Variability of Anthropogenic and Natural Factors Influencing Groundwater Quality Based on Source Apportionment.

Authors:  Xueru Guo; Rui Zuo; Li Meng; Jinsheng Wang; Yanguo Teng; Xin Liu; Minhua Chen
Journal:  Int J Environ Res Public Health       Date:  2018-02-06       Impact factor: 3.390

  2 in total

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