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Source Apportionment of Polycyclic Aromatic Hydrocarbons in Sediment by the Application of Non-Negative Factor Analysis: A Case Study of Dalian Bay

An improved method, factor analysis with non-negative constraints (FA-NNC) was adopted to apportion the sources of sediment polycyclic aromatic hydrocarbons (PAHs) in Dalian Bay, China. Cosine similarity and Monte Carlo uncertainty analysis were used to assist the FA-NNC source resolution. The resul...

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Detalles Bibliográficos
Autores principales: Tian, Fu-Lin, Li, Fa-Yun, Wang, De-Gao, Wang, Yan-Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5923803/
https://www.ncbi.nlm.nih.gov/pubmed/29659480
http://dx.doi.org/10.3390/ijerph15040761
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author Tian, Fu-Lin
Li, Fa-Yun
Wang, De-Gao
Wang, Yan-Jie
author_facet Tian, Fu-Lin
Li, Fa-Yun
Wang, De-Gao
Wang, Yan-Jie
author_sort Tian, Fu-Lin
collection PubMed
description An improved method, factor analysis with non-negative constraints (FA-NNC) was adopted to apportion the sources of sediment polycyclic aromatic hydrocarbons (PAHs) in Dalian Bay, China. Cosine similarity and Monte Carlo uncertainty analysis were used to assist the FA-NNC source resolution. The results identified three sources for PAHs, which were overall traffic, diesel engine emissions and residential coal combustion. The contributions of these sources were quantified as 78 ± 4.6% from overall traffic, 12 ± 3.2% from diesel engine emissions, and 10 ± 1.9% from residential coal combustion. The results from the Monte Carlo uncertainty analysis indicated that the model was robust and convergent.
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spelling pubmed-59238032018-05-03 Source Apportionment of Polycyclic Aromatic Hydrocarbons in Sediment by the Application of Non-Negative Factor Analysis: A Case Study of Dalian Bay Tian, Fu-Lin Li, Fa-Yun Wang, De-Gao Wang, Yan-Jie Int J Environ Res Public Health Article An improved method, factor analysis with non-negative constraints (FA-NNC) was adopted to apportion the sources of sediment polycyclic aromatic hydrocarbons (PAHs) in Dalian Bay, China. Cosine similarity and Monte Carlo uncertainty analysis were used to assist the FA-NNC source resolution. The results identified three sources for PAHs, which were overall traffic, diesel engine emissions and residential coal combustion. The contributions of these sources were quantified as 78 ± 4.6% from overall traffic, 12 ± 3.2% from diesel engine emissions, and 10 ± 1.9% from residential coal combustion. The results from the Monte Carlo uncertainty analysis indicated that the model was robust and convergent. MDPI 2018-04-16 2018-04 /pmc/articles/PMC5923803/ /pubmed/29659480 http://dx.doi.org/10.3390/ijerph15040761 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Tian, Fu-Lin
Li, Fa-Yun
Wang, De-Gao
Wang, Yan-Jie
Source Apportionment of Polycyclic Aromatic Hydrocarbons in Sediment by the Application of Non-Negative Factor Analysis: A Case Study of Dalian Bay
title Source Apportionment of Polycyclic Aromatic Hydrocarbons in Sediment by the Application of Non-Negative Factor Analysis: A Case Study of Dalian Bay
title_full Source Apportionment of Polycyclic Aromatic Hydrocarbons in Sediment by the Application of Non-Negative Factor Analysis: A Case Study of Dalian Bay
title_fullStr Source Apportionment of Polycyclic Aromatic Hydrocarbons in Sediment by the Application of Non-Negative Factor Analysis: A Case Study of Dalian Bay
title_full_unstemmed Source Apportionment of Polycyclic Aromatic Hydrocarbons in Sediment by the Application of Non-Negative Factor Analysis: A Case Study of Dalian Bay
title_short Source Apportionment of Polycyclic Aromatic Hydrocarbons in Sediment by the Application of Non-Negative Factor Analysis: A Case Study of Dalian Bay
title_sort source apportionment of polycyclic aromatic hydrocarbons in sediment by the application of non-negative factor analysis: a case study of dalian bay
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5923803/
https://www.ncbi.nlm.nih.gov/pubmed/29659480
http://dx.doi.org/10.3390/ijerph15040761
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