2015
DOI: 10.1016/j.chemosphere.2014.08.048
|View full text |Cite
|
Sign up to set email alerts
|

Combination of Unmix and positive matrix factorization model identifying contributions to carcinogenicity and mutagenicity for polycyclic aromatic hydrocarbons sources in Liaohe delta reed wetland soils, China

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
4
0

Year Published

2017
2017
2023
2023

Publication Types

Select...
8
1
1

Relationship

0
10

Authors

Journals

citations
Cited by 33 publications
(5 citation statements)
references
References 41 publications
1
4
0
Order By: Relevance
“…The results obtained from previous studies had reached similar conclusions, such as those relating to agricultural soils in Shanghai [5], suburban vegetable field soils of Changchun [25], and agricultural soils in eastern China [72]. However, in wetland soils, the main sources of PAHs were petrogenic sources, i.e., biomass burning, diesel emission, and coal combustion [73,74]. The primary sources of PAHs in coking plants were derived from the combustion of coal and biomass [56], and those from oil fields came from petroleum sources and vehicular traffic sources [46].…”
Section: Discussionsupporting
confidence: 57%
“…The results obtained from previous studies had reached similar conclusions, such as those relating to agricultural soils in Shanghai [5], suburban vegetable field soils of Changchun [25], and agricultural soils in eastern China [72]. However, in wetland soils, the main sources of PAHs were petrogenic sources, i.e., biomass burning, diesel emission, and coal combustion [73,74]. The primary sources of PAHs in coking plants were derived from the combustion of coal and biomass [56], and those from oil fields came from petroleum sources and vehicular traffic sources [46].…”
Section: Discussionsupporting
confidence: 57%
“…Factor numbers ranging from three to eight were considered in order to choose the "optimal solution." "Robust" mode was adopted to simulate for eliminating the effect of individual extreme value [21,30,[64][65][66][67][68][69]. Three factors were eventually chosen since it gave (robust) value ranging from 21041.1 to 23360.0, which converged.…”
Section: Source Estimates From Positive Matrix Factorization (Pmf)mentioning
confidence: 99%
“…Nap emissions may be due to the combustion of fossil fuels, the fraction of petroleum products, wood, and crude oil, 66,67 while emissions of Chr, Pyr, and Fluo are commonly associated with diesel exhaust. 68,69 Previous studies indicated that BaP emission is associated with the partial combustion of fossil fuel, 70 IcdP, BghiP, and DahA as indicators of motor vehicle exhaust, 71,72 BkF and BbF are linked to the combustion of fossil fuel, 73 and according to the literature, 74,75 Flo is a crude oil contributor. This result shows that PC1 is a petrogenic source, given that most PAHs emerged from biomass/coal combustion and petroleum and vehicle emissions.…”
Section: Resultsmentioning
confidence: 99%