2013
DOI: 10.1002/etc.2255
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Development of short, acute exposure hazard estimates: A tool for assessing the effects of chemical spills in aquatic environments

Abstract: Management decisions aimed at protecting aquatic resources following accidental chemical spills into rivers and coastal estuaries require estimates of toxic thresholds derived from realistic spill conditions: acute pulse exposures of short duration (h), information which often is unavailable. Most existing toxicity data (median lethal concentration or median effective concentration) come from tests performed under constant exposure concentrations and exposure durations in the 24-h to 96-h range, conditions not… Show more

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Cited by 19 publications
(29 citation statements)
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“…When the predicted species was also part of the observed dataset, data from the latter were used in SSDs instead of the predicted values. The SSDs and their HC5s used in the verification and application of ICE models were developed using the methodology outlined elsewhere (Bejarano and Farr 2013). Briefly, data were fitted to several distribution functions that were randomly resampled 2000 times to estimate the median SSD and the 5th percentile of the distribution with its associated 95% confidence interval (95% CI HC5).…”
Section: Dispersant-ice Model Development and Verificationmentioning
confidence: 99%
“…When the predicted species was also part of the observed dataset, data from the latter were used in SSDs instead of the predicted values. The SSDs and their HC5s used in the verification and application of ICE models were developed using the methodology outlined elsewhere (Bejarano and Farr 2013). Briefly, data were fitted to several distribution functions that were randomly resampled 2000 times to estimate the median SSD and the 5th percentile of the distribution with its associated 95% confidence interval (95% CI HC5).…”
Section: Dispersant-ice Model Development and Verificationmentioning
confidence: 99%
“…Dispersant-specific SSDs with data from at least 5 unique aquatic species were developed using the geometric mean of multiple reported toxicity values (LC50 and EC50) for single species based on similar exposure conditions (e.g., constant static) and durations (e.g., 96 h). All SSDs were assessed for goodness of fit (a ¼ 0.05) using the Kolmogorov-Smirnov, Anderson-Darling (n > 7 species), and Cramer-Von Mises (n > 7 species) test statistics (D' Agostino and Stephens 1986;Bejarano and Farr 2013). The SSDs and their fifth percentile HCs (HC5), or concentrations protective of 95% of the species assemblage, were estimated using the methodology outlined in detail elsewhere (Bejarano and Farr 2013).…”
Section: Comparative Assessments Of Toxicity Datamentioning
confidence: 99%
“…A tool that has gained acceptance among ecological risk assessors, and chemical and oil spill practitioners in particular, is the use of species sensitivity distributions (SSDs) [39,[55][56][57].…”
Section: The Use Of Toxicity Data In Decision Makingmentioning
confidence: 99%
“…A tool that has gained acceptance among ecological risk assessors, and chemical and oil spill practitioners in particular, is the use of species sensitivity distributions (SSDs) . Species sensitivity distributions are cumulative distributions of laboratory‐derived toxicological endpoints (e.g., LC50, EC50; typically from the same exposure duration) for species used in testing programs that allow for comparisons of the relative sensitivities of several species to the same chemical .…”
Section: Introductionmentioning
confidence: 99%
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