2015
DOI: 10.1016/j.chemosphere.2015.04.049
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Source apportionment of PAHs in surface sediments using positive matrix factorization combined with GIS for the estuarine area of the Yangtze River, China

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Cited by 94 publications
(31 citation statements)
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“…2013; Yu et al. 2015), which is pivotal information for risk assessment and management (Tobiszewski and Namieśnik 2012). The main sources of PAHs have been found to be petrogenic and pyrogenic, resulting from anthropogenic activities including direct inputs of petroleum and emissions from the combustion of oil, diesel and biomass (Baek et al.…”
Section: Sources Of Pahs In Marine Ecosystemsmentioning
confidence: 99%
See 1 more Smart Citation
“…2013; Yu et al. 2015), which is pivotal information for risk assessment and management (Tobiszewski and Namieśnik 2012). The main sources of PAHs have been found to be petrogenic and pyrogenic, resulting from anthropogenic activities including direct inputs of petroleum and emissions from the combustion of oil, diesel and biomass (Baek et al.…”
Section: Sources Of Pahs In Marine Ecosystemsmentioning
confidence: 99%
“…2015; Yu et al. 2015). Natural sources from volcanic activities and forest fires have been found to be marginal (Bamforth and Singleton 2005).…”
Section: Sources Of Pahs In Marine Ecosystemsmentioning
confidence: 99%
“…Several studies have explored the distribution of PAHs in the ECS and discussed the factors that influence their transportation and burial (Li et al, ; Lin et al, ; Wang, Zou, Zhao, et al, ; Yu et al, ). However, most have mainly focused on the Changjiang (Yangtze) Estuary and are out of date.…”
Section: Introductionmentioning
confidence: 99%
“…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%