Potential source contributions and risk assessment of PAHs in sediments from Taihu Lake, China: Comparison of three receptor models

Zhang, Yuan; Guo, Changsheng; Xu, Jian; Tian, Yingze; Shi, Guoliang; Feng, Yinchang

doi:10.1016/j.watres.2012.03.006

Cited by 264 publications

(101 citation statements)

References 30 publications

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“…Until recently, researches on surface sediment PAHs mainly concentrated in the estuary area of some rivers 2 Journal of Chemistry and lakes [19][20][21][22][23][24][25]. Sofowote et al (2008) investigated the profiles and relative contributions of pollution sources to the Hamilton harbor using principal component analyses (PCA) and positive matrix factorization (PMF) methods, and results showed both methods identified four factors and gave excellent correlation coefficients between predicted and measured levels of 25 aromatic compounds; both methods predicted similar contributions from coal tar/coal combustion sources to the harbor (19 and 26%, resp.…”

Section: Introductionmentioning

confidence: 99%

Source and Ecological Risk Characteristics of PAHs in Sediments from Qinhuai River and Xuanwu Lake, Nanjing, China

Zhao

Qin

Cao

et al. 2017

Journal of Chemistry

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In order to investigate the residual characteristics, sources, and ecological risk of PAHs in sediment from urban rivers, the sediments of 15 typical sites from Qinhuai River and Xuanwu Lake, which are typical urban rivers and lake, were collected from October 2015 to July 2016; the sources of PAHs in sediment were also identified by several methods. Results showed that ∑PAHs concentration in sediment ranged from 796.2 ng/g to 10,470 ng/g with an average of 2,713.8 ng/g. High molecular weight PAHs with 4-5 rings were most prominent in the sediment during all four seasons. Source characterization studies based on the analysis of diagnostic ratio (triangular plot method), cluster analysis, and positive factor matrix analysis suggested that the PAHs of Qinhuai River Basin were mainly from pyrogenic origin (biomass and coal combustion and vehicular emission), and the petroleum source also cannot be ignored (specially in summer). Most individual PAHs occasionally affect the aquatic organisms. The highest benzo[a]pyreneequivalent doses (BaP eq dose) appear at the sites of sewage discharge and heavy traffic. So, the PAHs pollution sources of urban water body have obvious seasonal-dependent and human activities-dependent characteristics.

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Section: Introductionmentioning

confidence: 99%

Source and Ecological Risk Characteristics of PAHs in Sediments from Qinhuai River and Xuanwu Lake, Nanjing, China

Zhao

Qin

Cao

et al. 2017

Journal of Chemistry

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“…This is the reason why it is important to discern the main pollution sources affecting air quality. In this way, receptor models have been widely used (Bzdusek et al, 2004;Kim et al, 2003;Park et al, 2011;Xie et al, 2010;Zhang et al, 2012) as tools that assess contributions from various sources based on observations at sampling sites.…”

Section: Introductionmentioning

confidence: 99%

Nature and sources of particle associated polycyclic aromatic hydrocarbons (PAH) in the atmospheric environment of an urban area

Callén

López

Iturmendi

et al. 2013

Environmental Pollution

132

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The total PAH associated to the airborne particulate matter (PM10) was apportioned by one receptor model based on positive matrix factorization (PMF) in an urban environment (Zaragoza city, Spain) during February 2010-January 2011. Four sources associated with coal combustion, gasoline, vehicular and stationary emissions were identified, allowing a good modelling of the total PAH (R 2 =0.99). A seasonal behaviour of the four factors was obtained with higher concentrations in the cold season. The NE direction was one of the predominant directions showing the negative impact of industrial parks, a paper factory and a highway located in that direction. Samples were classified according to hierarchical cluster analysis obtaining that, episodes with the most negative impact on human health (the highest lifetime cancer risk concentrations), were produced by a higher contribution of stationary and vehicular emissions in winter season favoured by high relative humidity, low temperature and low wind speed. Keywords: PM10; PAH; receptor model; PMF; source apportionment.Episodes with the most negative impact on human health regarding PAH were produced by a higher contribution of stationary and vehicular emissions in winter season.

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“…On the literature high factor loadings for BbF, BkF were attributed to diesel motor vehicle emissions (Lee et al 2004;Harrison et al 1996). However, IcdP, BaP and BaA were attributed to gasoline and diesel markers (Lee et al 2004;Zhang et al 2012;Sofowote et al 2008;Harrison et al 1996). This factor could be related with vehicular emissions and 78% bootstrapped factors mapped to base factor.…”

Section: Source Identification By Pmf Modelmentioning

confidence: 99%

Source apportionment of the carcinogenic potential of polycyclic aromatic hydrocarbons (PAH) associated to airborne PM10 by a PMF model

Callén

Iturmendi

López

et al. 2013

Environ Sci Pollut Res

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In order to perform a study of the carcinogenic potential of PAH, benzo(a)pyrene equivalent (BaP-eq) concentration was calculated and modelled by a receptor model based on Positive Matrix Factorization (PMF). 19 polycyclic aromatic hydrocarbons (PAH) associated to airborne PM10 of Zaragoza, Spain, were quantified during the sampling period 2001-2009 and used as potential variables by the PMF model. Afterwards, multiple linear regression analysis (MLR) was used to quantify the potential sources of BaP-eq. Five sources were obtained as the optimal solution and vehicular emission was identified as the main carcinogenic source (35%) followed by heavy-duty vehicles (28%), light-oil combustion (18%), natural gas (10%) and coal combustion (9%). Two of the most prevailing directions contributing to this carcinogenic character were the NE and N directions associated with a highway, industrial parks and a paper factory. The lifetime lung cancer risk exceeded the unit risk of 8.7 x 10 -5 per ng/m 3 BaP in both, winter and autumn seasons and the most contributing source was the vehicular emission factor becoming an important issue in control strategies.

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Potential source contributions and risk assessment of PAHs in sediments from Taihu Lake, China: Comparison of three receptor models

Cited by 264 publications

References 30 publications

Source and Ecological Risk Characteristics of PAHs in Sediments from Qinhuai River and Xuanwu Lake, Nanjing, China

Source and Ecological Risk Characteristics of PAHs in Sediments from Qinhuai River and Xuanwu Lake, Nanjing, China

Nature and sources of particle associated polycyclic aromatic hydrocarbons (PAH) in the atmospheric environment of an urban area

Source apportionment of the carcinogenic potential of polycyclic aromatic hydrocarbons (PAH) associated to airborne PM10 by a PMF model

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