Linked Life Data

20614215

Source:http://linkedlifedata.com/resource/pubmed/id/20614215

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2011-7-5
pubmed:abstractText
Polycyclic aromatic hydrocarbons (PAHs) are ubiquitous pollutants worldwide; currently, they are being described as potential persistent organic pollutants (POPs). This study is aimed to identify sources of PAHs in the atmosphere around the Sihwa and Banwol industrial area by using diagnostic ratios and multivariate factor analysis such as principal component analysis/absolute principal component score (PCA/APCS) and positive matrix factorization (PMF). The atmospheric PAHs level was 8.07-177 ng/m(3) (gaseous phase: 5.93-68.4 ng/m(3); particulate phase: 1.85-128 ng/m(3)) and PAHs concentration in the warm period was lower than the cold period. As a result of the examination of relative BaP concentration, photodecomposition was found not to be an important factor in the seasonal difference of PAHs concentration in this study. Source identification was first carried out through a double ratio plot. As a result of double ratio plots, atmospheric PAHs in this study were found to stem from the combination of vehicular emission, combustion (coal or biomass-wood or grass), and petroleum. Moreover, PCA/APCS and PMF showed that the main sources were vehicular emission and coal combustion and and incineration-related source with a summed contribution of about 72.6-86.7%. Finally, the fitness of the two models was very good; the estimated values were highly correlated with the measured values (R(2) = 0.991-0.999, p < 0.05).
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
May
pubmed:issn
1432-0703
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
60
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
576-89
pubmed:meshHeading
pubmed:year
2011
pubmed:articleTitle
Source identification of atmospheric polycyclic aromatic hydrocarbons in industrial complex using diagnostic ratios and multivariate factor analysis.
pubmed:affiliation
Engineering Center, Korea Electric Power Research Institute, 103-16, Munji-dong, Yuseong-gu, Daejeon 305-380, Republic of Korea.
pubmed:publicationType
Journal Article