Application of U.S. EPA’s Web-based Interspecies Correlation Estimation (Web-ICE) under the Toxic Substances Control Act (TSCA)
Koehrn, K; Shuman-Goodier, M; Raimondo, S; Vebrosky Nolan, E; Green, C; Bressette, J; Eisenreich, K
HERO ID
11396301
Reference Type
Meetings & Symposia
Subtype
Poster
Year
2022
Language
English
| HERO ID | 11396301 |
|---|---|
| Year | 2022 |
| Title | Application of U.S. EPA’s Web-based Interspecies Correlation Estimation (Web-ICE) under the Toxic Substances Control Act (TSCA) |
| Authors | Koehrn, K; Shuman-Goodier, M; Raimondo, S; Vebrosky Nolan, E; Green, C; Bressette, J; Eisenreich, K |
| Abstract | Without minimum data requirements under TSCA, EPA/OPPT often conducts risk evaluations using limited empirical toxicity data. A modeling approach, Web-based Interspecies Correlation Estimation (Web-ICE), predicts toxicity values for environmental species that are absent from a dataset and can provide a more robust dataset to estimate toxicity thresholds. Web-ICE is an online tool that estimates acute toxicity values for aquatic and terrestrial species using surrogate species data and least squared regressions. Each ICE model represents the relationship of inherent sensitivity between a surrogate species and a predicted taxon (species, genus, or family). Web-ICE models use surrogate species sensitivity as an input to estimate the sensitivity of all available taxa. The goal of this work is to compare methods for calculating hazard thresholds for aquatic species with and without Web-ICE predictions. |
| Material Type | Poster |
| Dupe Override | No |
| Conference Location | Pittsburgh, PA |
| Conference Name | SETAC North America 43rd Annual Meeting |
| Conference Date | November 13-17, 2022 |
| Is Public | Yes |
| Language Text | English |