Long-term recovery of PCB-contaminated sediments at the Lake Hartwell superfund site: PCB dechlorination. 1. End-member characterization.
Under anaerobic conditions, such as those typically found in buried sediments, the primary metabolic pathway for polychlorinated biphenyls (PCBs) is reductive dechlorination in which chlorine removal and substitution with hydrogen by bacteria result in a reduced organic compound with fewer chlorines. Vertical sediment cores were collected from Lake Hartwell (Pickens County, SC) and analyzed in 5-cm intervals for 107 PCB congeners in a total of more than 280 samples from 18 sediment cores and surface samples. This paper reports on extensive PCB dechlorination measured in Lake Hartwell sediments and the characterization of dechlorination end-member (EM) patterns using chemical forensic methods. PCB congener fingerprinting and a multivariate receptor modeling method, polytopic vector analysis (PVA), were used for identification and characterization of weathered and dechlorinated PCB congener patterns. Dechlorination resulted in a substantial shift in buried sediments from tetra- through decachlorobiphenyl congeners to mono- through trichlorobiphenyl congeners. Mono- through trichlorobiphenyls comprised approximately 80% of the PCBs in buried sediments that underwent maximum dechlorination as compared to approximately 20% in surface sediments. The major concentration decreases were seen in the tetra- through hexachlorobiphenyl homologues, which accounted for over 90% of the dechlorination. Octa- through decachlorobiphenyl congeners also were dechlorinated, but their overall contribution to dechlorination was relatively small due to their low initial concentrations (< 5%). The net accumulation of 2-CB, 2,2'/2,6-DCBs, 2,4'-DCB, 2,2',4-TCB, and 2,2',6-TCB at Lake Hartwell matched characteristic PCB dechlorination products reported in the literature, such as those for Processes M, Q, and C; and the persistence of tetrachlorobiphenyls (TeCBs) that contained 24- and 25-congener groups resembled dechlorination Processes H or H'. Although dechlorination tended to be very extensive in most of the cores, it was not always consistent from core to core or at various depth intervals within a single core. The reason for this variability in dechlorination extent could not be determined from the existing data and did not appear to correlate with such factors as PCB concentration, total organic carbon, or age. The authors used fingerprinting analysis and a PVA multivariate receptor model as exploratory data analysis tools to characterize PCB sources and their alteration patterns. Dominant sources and alteration patterns were determined in this large data set by comparing PVA EM patterns with known source patterns (i.e., Aroclors or Aroclor mixtures) and literature-reported alteration patterns. PVA also afforded an opportunity to characterize the vertical and lateral distributions of the weathered and unweathered PCB source patterns and dechlorination patterns, a task that would have been much more difficult to accomplish through comparison of chromatograms alone.
Magar
Victor S
VS
Battelle Memorial Institute, 505 King Avenue, Columbus, Ohio 43201, USA. vmagar@environcorp.com
Johnson
Glenn W
GW
Brenner
Richard C
RC
Quensen
John F
JF
Foote
Eric A
EA
Durell
Greg
G
Ickes
Jennifer A
JA
Peven-McCarthy
Carole
C
D001421:Bacteria, Anaerobic / Q000378:metabolism; D001673:Biodegradation, Environmental; D002713:Chlorine / Q000737:chemistry*; D004784:Environmental Monitoring / Q000379:methods*; D044707:Forensic Sciences; D005618:Fresh Water; D019015:Geologic Sediments / Q000737:chemistry / Q000382:microbiology; D006256:Hazardous Waste; D008962:Models, Theoretical; D010084:Oxidation-Reduction; D011078:Polychlorinated Biphenyls / Q000032:analysis / Q000737:chemistry* / Q000378:metabolism*; D013022:South Carolina; D014874:Water Pollutants, Chemical / Q000032:analysis / Q000378:metabolism*
D006256:Hazardous Waste; D014874:Water Pollutants, Chemical; D002713:Chlorine; D011078:Polychlorinated Biphenyls