CART Screening Level Analysis of Persistence: A Case Study

Deborah H Bennett, Thomas E. McKone, W. E. Kastenberg

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

For the thousands of chemicals continuously released into the environment, it is desirable to make prospective assessments of those likely to be persistent. Persistent chemicals will remain in the environment a long time. Based on specific criteria for persistence, a binary logic tree can be developed to classify a chemical as "persistent" or "non-persistent" based on the chemical's properties. In this approach, the classification is based on the results of a standardized multimedia model. Thus, the classifications are more comprehensive for multimedia pollutants than classification using single media half-lives. A case study using twenty-six chemicals for three modes of entry into a unit world environment compares the characteristic time calculated from the multimedia model to the classification resulting from the tree.

Original languageEnglish (US)
Pages (from-to)29-41
Number of pages13
JournalACS Symposium Series
Volume773
StatePublished - 2001
Externally publishedYes

ASJC Scopus subject areas

  • Chemistry(all)

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