Polychlorinated Biphenyls (PCBs) in PM10 Surrounding a Chemical Industrial Zone in Shanghai, China

Cheng, Jin; Wu, Qian; Xie, Hong; Gu, Jinmin; Wei, Zhao; Ma, Jing; Wang, Wenhua

doi:10.1007/s00128-007-9267-7

Cited by 21 publications

(6 citation statements)

References 34 publications

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“…Contrary to our expectation, the levels of PCBs in period 3 were somewhat similar with those in period 2 at a lower air temperature. This result can be partially attributed to the wet scavenge of PCBs (38); 3-4 times higher rainfall was recorded during period 3 than during period 2; thus, gasphase PCBs could be deposited to the surface water and ground (39). In addition, there were more winds from the East Sea (i.e., clean air flow to the study area) during the period 3.…”

Section: Resultsmentioning

confidence: 97%

Spatial and Seasonal Distribution of Polychlorinated Biphenyls (PCBs) in the Vicinity of an Iron and Steel Making Plant

Baek

Choi

Park

et al. 2010

Environ. Sci. Technol.

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Four consecutive passive air samplings (September 2006-July 2007) were conducted at 15 sites around an iron and steel making plant in Pohang, Korea to investigate the spatial and seasonal distributions of polychlorinated biphenyls (PCBs) and ultimately the source-receptor relationships. Annual mean values of Sigma(8)PCBs (IUPAC number 8, 28, 52, 101, 118, 138, 153, 180) were in the range of 15.1-166 pg/m(3) with an average of 53.0 pg/m(3). The spatial distribution of PCBs for each sampling period clearly suggests that the steel complex is a major source of PCBs in this area, and the prevailing winds facilitated the atmospheric transport and dispersion of PCBs from the steel complex to the surrounding areas. Seasonal patterns of PCBs were observed clearly, which were influenced by meteorological conditions; the highest levels of PCBs were observed with the highest average air temperature, and the influence of rainfall (i.e., wet scavenging) was also observed. In addition, PCB 11, a non-Aroclor congener, was detected in high concentrations at all sites, implying that the sources of PCB 11 are both unique and ubiquitous. This study confirms that passive air sampling is a useful tool to obtain seasonal and spatial distributions of time-averaged POPs data at a local scale.

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Section: Resultsmentioning

confidence: 97%

Spatial and Seasonal Distribution of Polychlorinated Biphenyls (PCBs) in the Vicinity of an Iron and Steel Making Plant

Baek

Choi

Park

et al. 2010

Environ. Sci. Technol.

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“…Amounts of precipitation could substantial remove PCBs from the ambient air [8]. A negative correlation of total PCB with ambient temperature and rainfall was also been found in Shanghai, China [9]. Furthermore, large amounts of coal were burned for heating in cold weather in Jinan, which may be another important reason for the high PCB concentrations in winter and spring.…”

Section: Temporal Variation Of Pm 10 -Associated Pcbsmentioning

confidence: 90%

Temporal Variation and Meteorological Dependence of Polychlorinated Biphenyls in Atmospheric PM<sub>10</sub> of Jinan, China

Luo

Cui

et al. 2013

AMR

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s. To explore the PCB pollution characteristics in the airborne particulate matter, seven indicative polychlorinated biphenyls (PCBs) in atmospheric PM10 were determined weekly in Jinan, China. PCB concentrations, profiles, temporal distribution pattern and the correlations between Σ7PCBs and the meteorological conditions were analyzed, aiming to quantify the pollution level of PCBs in urban air. All the samplers were extracted by accelerated solvent extraction (ASE) and analyzed by gas chromatography (GC). The monthly concentrations of Σ7PCBs were 81.4-2335.2 fg/m3. A distinct seasonal variation of PM10-associated PCBs exhibited. Higher concentrations of PCBs in cold weather than warm weather was found. PCB28 and PCB52 were the major components of PM10-associated PCBs in cold weather, while PCB 118 and PCB 180 dominated in warm weather. The fresh emission sources in cold weather, such as the burning of coal for domestic heating, were suggested to be a major influence factor. A significant correlation (p<0.05) was found between the total PCB congeners and atmospheric pressure. Heavy rainfall can also impact PM10-PCBs significantly. The weak correlation coefficient between atmospheric PCBs and wind speed suggested that the inefficient dispersion and no significant pollution sources around.

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“…The seasonal variations of PCBs in the industrial sites showed the highest concentrations of PCBs in spring time. 38 However, another study showed that the concentrations of PCBs were mainly inuenced by the combined effects of reciprocal temperature, wind direction, and wind speed. 39 To explore the effect of temperature on the occurrence and seasonal variations of PCBs, a Spearman correlation analysis was conducted between the atmospheric concentrations of PCBs and the average temperature during the sampling period in these cities.…”

Section: Spatial and Temporal Variationmentioning

confidence: 99%

Spatial–temporal variations, possible sources and soil–air exchange of polychlorinated biphenyls in urban environments in China

Cui

et al. 2017

RSC Adv.

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Polychlorinated Biphenyls (PCBs) in PM10 Surrounding a Chemical Industrial Zone in Shanghai, China

Cited by 21 publications

References 34 publications

Spatial and Seasonal Distribution of Polychlorinated Biphenyls (PCBs) in the Vicinity of an Iron and Steel Making Plant

Spatial and Seasonal Distribution of Polychlorinated Biphenyls (PCBs) in the Vicinity of an Iron and Steel Making Plant

Temporal Variation and Meteorological Dependence of Polychlorinated Biphenyls in Atmospheric PM<sub>10</sub> of Jinan, China

Spatial–temporal variations, possible sources and soil–air exchange of polychlorinated biphenyls in urban environments in China

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