Source resolution and risk apportionment to augment the Bubble Policy: Application to a steel plant "bubble"

Shaibal Mukerjee, Pratim Biswas

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Source resolution and risk apportionment of emission source categories for risk reduction purposes can be used to enhance the Bubble Policy of the Clean Air Act. This is performed by incorporating receptor modeling techniques of factor analysis and chemical mass balances to assess noncarcinogenic and carcinogenic inhalation risks to a target population for certain pollutants coming from major emission source categories in a steel plant air shed. Source resolution, using factor analysis, statistically interprets a "source" from ambient data. By subsequently quantifying risks from identified metal emission sources using chemical mass balances and risk apportionment, a total additive risk from main source contributors in the steel plant is estimated. From this methodology, the Bubble Policy can be enhanced by targeting only main risk sources or by "risk-trading" with minor impact sources to reduce the total risk (if deemed significant) without arbitrarily reducing risk for all sources in an industrial source complex's "bubble."

Original languageEnglish (US)
Pages (from-to)531-543
Number of pages13
JournalEnvironmental Management
Volume17
Issue number4
DOIs
StatePublished - Jul 1993
Externally publishedYes

Keywords

  • Bubble policy
  • Chemical mass balance receptor modeling
  • Factor analysis
  • Risk apportionment
  • Risk reduction
  • Source resolution

ASJC Scopus subject areas

  • Global and Planetary Change
  • Ecology
  • Pollution

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