1996
DOI: 10.1002/etc.5620151117
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Distributions of key exposure factors controlling the uptake of xenobiotic chemicals in an estuarine food web

Abstract: Abstract-A critical evaluation of literature on the behavior, physiology, and ecology of common estuarine organisms was conducted in an attempt to develop probabilistic distributions for those variables that influence the uptake of xenobiotic chemicals from sediments, water, and food sources. The ranges, central tendencies, and distributions of several key parameter values were identified for dominant organisms from various trophic levels, including the polychaete Nereis virens, mummichog (Fundulus heteroclitu… Show more

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Cited by 19 publications
(19 citation statements)
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“…The sensitivity analysis showed that the Log K ow is the second most important parameter influencing the osprey toxicity quotients (after the osprey Toxic Reference Values, TRVs), followed by the sediment and water concentrations. These results are consistent with both Burkhard (24,35) and Ianuzzi et al (36) who concluded that the lipid content of the exposed organisms and the K ow of the contaminant influence estimates of tissue concentrations more than other parameters.…”
Section: Discussionsupporting
confidence: 90%
“…The sensitivity analysis showed that the Log K ow is the second most important parameter influencing the osprey toxicity quotients (after the osprey Toxic Reference Values, TRVs), followed by the sediment and water concentrations. These results are consistent with both Burkhard (24,35) and Ianuzzi et al (36) who concluded that the lipid content of the exposed organisms and the K ow of the contaminant influence estimates of tissue concentrations more than other parameters.…”
Section: Discussionsupporting
confidence: 90%
“…Multiparameter alternatives to the simple equilibrium partitioning model have been developed [40][41][42]. One such model [40] uses fugacity calculations and considers diet, feeding behavior, chemical disequilibrium between sediment and water, and other factors for a total of about 40 input variables.…”
Section: Discussionmentioning
confidence: 99%
“…For example, concentrations were not allowed to have negative values, and body weights were constrained to biologically appropriate values. This approach is consistent with that recommended by the U.S. EPA (1997c) and adopted in other studies (see, e.g., Iannuzzi et al, 1996;Hattis & Burmaster, 1994;. For example, we fitted lognormal PDFs to chemical concentration data collected by the LACSD (1997) for kelp bass and white croaker at the Palos Verdes Shelf.…”
Section: Assessing Health Risks To Anglers 607mentioning
confidence: 83%