Numerical Method to Elucidate Likely Target Positions of Chlorine Removal in Anaerobic Sediments Undergoing Polychlorinated Biphenyl Dechlorination
| Autor: | Mitchell J. Small, Sandra C. Karcher, Jeanne M. VanBriesen |
|---|---|
| Rok vydání: | 2007 |
| Předmět: |
Pollution
Environmental Engineering Environmental remediation media_common.quotation_subject chemistry.chemical_element Sediment Polychlorinated biphenyl Contamination chemistry.chemical_compound Congener chemistry Environmental chemistry polycyclic compounds Chlorine Environmental Chemistry Relative species abundance General Environmental Science Civil and Structural Engineering media_common |
| Zdroj: | Journal of Environmental Engineering. 133:278-286 |
| ISSN: | 1943-7870 0733-9372 |
| DOI: | 10.1061/(asce)0733-9372(2007)133:3(278) |
| Popis: | Polychlorinated biphenyl (PCB) contamination in the United States is predominately from commercially manufactured Aroclor mixtures. These mixtures consist of approximately 150 congeners and are characterized by chlorination level and congener distribution profile, with some congeners maintaining a constant relative abundance across the chlorination levels. Once introduced into the environment, changes in congener profiles occur, in some cases altering the relative abundance of congeners correlated in the commercial Aroclors. The shifts in the relationships of the correlated congener pairs (trackers) are used to quantify the likelihood of natural remediation processes occurring in the anaerobic sediment and to identify positions where chlorine removal is likely. A numerical model for elucidating the most likely chlorine positions was developed, implemented, and tested on Hudson River sediment data. The model results show that flanked chlorines were most likely to have been removed, followed by meta chlorines. These results are consistent with those reported by laboratory investigation of Hudson River sediments. The findings suggest that the model can successfully determine the most likely positions of chlorine removal, even in the absence of a priori knowledge of the sediment contamination (source Aroclors) or the dechlorinating organisms. Thus the model can be applied, even where limited knowledge exists regarding the contamination source and the nature of the biogeochemical reactions affecting the fate of PCBs in a particular sediment system. |
| Databáze: | OpenAIRE |
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