SCRAM: A scoring and ranking system for persistent, bioaccumulative, and toxic substances for the North American Great Lakes

Erin M. Snyder; Shane A. Snyder; John P. Giesy; Shari A. Blonde; Gary K. Hurlburt; Cheryl L. Summer; Rachel R. Mitchell; Dennis M. Bush

doi:10.1007/BF02987352

SCRAM: A scoring and ranking system for persistent, bioaccumulative, and toxic substances for the North American Great Lakes

Erin M. Snyder, Shane A. Snyder, John P. Giesy, Shari A. Blonde, Gary K. Hurlburt, Cheryl L. Summer, Rachel R. Mitchell, Dennis M. Bush

Chemical and Environmental Engineering

Research output: Contribution to journal › Article › peer-review

12 Scopus citations

Abstract

The Chemical Scoring and Ranking Assessment Model (SCRAM) has been described in Parts I-III of this series (Snyder et al., 1999a; 1999b; 1999c). SCRAM is a chemical scoring and ranking (CSR) system that scores chemicals on the basis of bioaccumulation potential, environmental persistence, and toxicity. Part IV describes various tests and descriptions of the performance of this system. A group of 21 representative chemicals was chosen and scored to test the system. For those chemicals, the percentages of the scores associated with fate-related properties and associated with data uncertainty were determined. The scoring of four of these chemicals is described in greater detail, and the suitability of the scores is discussed. An analysis of the sensitivity of the system to incomplete data sets is presented. And finally, the discriminatory power of the system is described.

Original language	English (US)
Pages (from-to)	220-224
Number of pages	5
Journal	Environmental Science and Pollution Research
Volume	7
Issue number	4
DOIs	https://doi.org/10.1007/BF02987352
State	Published - 2000

Keywords

Acute toxicity
Bioaccumulation
Chemical scoring and ranking
Chronic toxicity
Hazard
North American Great Lakes
Persistence
Priority pollutants
SCRAM (Chemical Scoring and Ranking Assessment Model)
Uncertainty
Water pollution

ASJC Scopus subject areas

Environmental Chemistry
Pollution
Health, Toxicology and Mutagenesis

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10.1007/BF02987352

Cite this

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title = "SCRAM: A scoring and ranking system for persistent, bioaccumulative, and toxic substances for the North American Great Lakes",

abstract = "The Chemical Scoring and Ranking Assessment Model (SCRAM) has been described in Parts I-III of this series (Snyder et al., 1999a; 1999b; 1999c). SCRAM is a chemical scoring and ranking (CSR) system that scores chemicals on the basis of bioaccumulation potential, environmental persistence, and toxicity. Part IV describes various tests and descriptions of the performance of this system. A group of 21 representative chemicals was chosen and scored to test the system. For those chemicals, the percentages of the scores associated with fate-related properties and associated with data uncertainty were determined. The scoring of four of these chemicals is described in greater detail, and the suitability of the scores is discussed. An analysis of the sensitivity of the system to incomplete data sets is presented. And finally, the discriminatory power of the system is described.",

keywords = "Acute toxicity, Bioaccumulation, Chemical scoring and ranking, Chronic toxicity, Hazard, North American Great Lakes, Persistence, Priority pollutants, SCRAM (Chemical Scoring and Ranking Assessment Model), Uncertainty, Water pollution",

author = "Snyder, {Erin M.} and Snyder, {Shane A.} and Giesy, {John P.} and Blonde, {Shari A.} and Hurlburt, {Gary K.} and Summer, {Cheryl L.} and Mitchell, {Rachel R.} and Bush, {Dennis M.}",

note = "Funding Information: This project was completed through the combined efforts of the Surface Water Quality Division, Michigan Department of Environmental Quality and the Department of Fisheries and Wildlife, Michigan State University. Assistance and advice in developing the chemical ranking and scoring system was provided by an advisory committee of toxicologists, chemists, and biologists from several Michigan industrial organizations, environmental groups, and academicians, as well as technical representatives from U.S. EPA Region V, the Ontario Ministry of Environment and Energy, the State of Wisconsin, and the State of Minnesota. Funding for this project was provided through a grant from the Michigan Great Lakes Protection Fund, administered by the Office of the Great Lakes, Michigan Department of Environmental Quality.",

year = "2000",

doi = "10.1007/BF02987352",

language = "English (US)",

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pages = "220--224",

journal = "Environmental Science and Pollution Research",

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AU - Snyder, Erin M.

AU - Snyder, Shane A.

AU - Giesy, John P.

AU - Blonde, Shari A.

AU - Hurlburt, Gary K.

AU - Summer, Cheryl L.

AU - Mitchell, Rachel R.

AU - Bush, Dennis M.

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PY - 2000

Y1 - 2000

N2 - The Chemical Scoring and Ranking Assessment Model (SCRAM) has been described in Parts I-III of this series (Snyder et al., 1999a; 1999b; 1999c). SCRAM is a chemical scoring and ranking (CSR) system that scores chemicals on the basis of bioaccumulation potential, environmental persistence, and toxicity. Part IV describes various tests and descriptions of the performance of this system. A group of 21 representative chemicals was chosen and scored to test the system. For those chemicals, the percentages of the scores associated with fate-related properties and associated with data uncertainty were determined. The scoring of four of these chemicals is described in greater detail, and the suitability of the scores is discussed. An analysis of the sensitivity of the system to incomplete data sets is presented. And finally, the discriminatory power of the system is described.

AB - The Chemical Scoring and Ranking Assessment Model (SCRAM) has been described in Parts I-III of this series (Snyder et al., 1999a; 1999b; 1999c). SCRAM is a chemical scoring and ranking (CSR) system that scores chemicals on the basis of bioaccumulation potential, environmental persistence, and toxicity. Part IV describes various tests and descriptions of the performance of this system. A group of 21 representative chemicals was chosen and scored to test the system. For those chemicals, the percentages of the scores associated with fate-related properties and associated with data uncertainty were determined. The scoring of four of these chemicals is described in greater detail, and the suitability of the scores is discussed. An analysis of the sensitivity of the system to incomplete data sets is presented. And finally, the discriminatory power of the system is described.

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KW - Uncertainty

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SCRAM: A scoring and ranking system for persistent, bioaccumulative, and toxic substances for the North American Great Lakes

Abstract

Keywords

ASJC Scopus subject areas

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