scholarly journals Polycyclic aromatic hydrocarbons, polychlorinated biphenyls, and metals in ambient sediment at mussel biomonitoring sites, Puget Sound, Washington

2019 ◽  
Author(s):  
Renee K. Takesue ◽  
Pamela L. Campbell‐Swarzenski ◽  
Kathleen E. Conn
Keyword(s):  
Polycyclic Aromatic Hydrocarbons ◽  
Polychlorinated Biphenyls ◽  
Aromatic Hydrocarbons ◽  
Puget Sound ◽  
Polycyclic Aromatic

scholarly journals Concentrations and regularities of disperse-phase distribution of organochlorine pesticides, polychlorinated biphenyls and polycyclic aromatic hydrocarbons in natural water

2020 ◽  
Vol 10 (9) ◽  
pp. 867
Author(s):  
Mikhail V. Milyukin ◽  
Maksym V. Gorban ◽  
Maksym V. Gorban
Keyword(s):  
Polycyclic Aromatic Hydrocarbons ◽  
Polychlorinated Biphenyls ◽  
Disperse Phase ◽  
Organochlorine Pesticides ◽  
Aromatic Hydrocarbons ◽  
Phase Distribution ◽  
Water Soluble ◽  
Pollution Levels ◽  
Polycyclic Aromatic ◽  
Average Water

<div><p>This article presents the monitoring results of organochlorine pesticides (OCPs), polychlorinated biphenyls (PCBs), and polycyclic aromatic hydrocarbons (PAHs) in surface water of the Dnieper River for the period 2011–2019. Total levels of OCPs, PCBs and PAHs consist of 1,4–17,1; 2,8–57,2; and 7,5–378,6 ng/L, respectively. A significant increase in pollution levels was not identified. Research results of the disperse-phase distribution of these substances in water were also provided. Less than half of the total contents of pollutants were in the water phase. Average water-soluble parts of OCPs, PCBs, and PAHs accounted for 32, 42, and 44 %, respectively. It was shown that water-soluble parts of individual pollutants decrease with the increase in <span style="text-decoration: line-through;">the</span> coefficients of hydrophobicity of compounds. The clearest reliable, relevant correlation between water-soluble parts of individual congeners and coefficients of hydrophobicity was obtained for PCBs.</p></div><p align="center"><strong><br /></strong></p>

scholarly journals Assessment of atmospheric distribution of polychlorinated biphenyls and polycyclic aromatic hydrocarbons using polyparameter model

2011 ◽  
Vol 65 (4) ◽  
pp. 371-380 ◽  
Author(s):  
Maja Turk-Sekulic ◽  
Jelena Radonic ◽  
Mirjana Vojinovic-Miloradov ◽  
Nevena Senk ◽  
Marija Okuka
Keyword(s):  
Polycyclic Aromatic Hydrocarbons ◽  
Polychlorinated Biphenyls ◽  
Aromatic Hydrocarbons ◽  
Particulate Phase ◽  
Western Balkans ◽  
Industrial Plants ◽  
Air Samples ◽  
Polycyclic Aromatic ◽  
Complete Set ◽  
Conflict Period

Results of partial or total destruction of industrial plants, military targets, infrastructure, uncontrolled fires and explosions during the conflict period from 1991 to 1999, at the area of Western Balkans, were large amounts of hazardous organic matter that have been generated and emitted in the environment. In order to assess gas/particle partition of seven EPA polychlorinated biphenyls and sixteen EPA polycyclic aromatic hydrocarbons, twenty air samples have been collected at six urban, industrial and highly contaminated localities in Vojvodina. Hi-Vol methodology has been used for collecting ambiental air samples, that simultaneously collects gaseous and particulate phase with polyurethane foam filters (PUF) and glass fiber filters (GFF). PUF and GFF filters have been analyzed, and concentration levels of gaseous PCBs and PAHs molecules in gaseous and particulate phase were obtained, converted and expressed through fraction of individual compounds sorbed onto particulate phase of the sample, in total detected quantity. Experimentally gained gas/particle partitioning values of PCBs and PAHs molecules have been compared with PP-LFER model estimated values. Significant deviation has been noticed during comparative analysis of estimated polyparameter model values for complete set of seven PCBs congeners. Much better agreement of experimental and estimated values is for polycyclic aromatic hydrocarbons, especially for molecules with four rings. These results are in a good correlation with literature data where polyparameter model has been used for predicting gas/particle partition of studied group of organic molecules.

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