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Optimization Models for Regional Air Pollution Control

  • Conference paper
Book cover Mathematical Analysis of Decision Problems in Ecology

Part of the book series: Lecture Notes in Biomathematics ((LNBM,volume 5))

Abstract

Under the Clean Air Act of 1970, the United States government has required the Environmental Protection Agency to set primary and secondary standards** for air pollutants. Standards have been set for six pollutants and these are shown in the Table. Also, under the Act, each state is required to establish regulations on pollutant emissions which will enable the standards to be met by 1975. Thus, in the United States air quality standards have been set by the federal government, but (with certain exceptions such as automobile emissions) methods of meeting the standards must be set by the state and local governments. Past and present air pollution regulations have been established with little or no attempt at any overall optimization. In this paper methods of obtaining optimal emission control strategies will be described and some aspects of the implementation problem will be discussed.

Partly supported by NSF grant GK27876.

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Author information

Authors and Affiliations

  1. Department of Industrial Engineering and Management Sciences, The Technological Institute Northwestern University, USA

    Robert Abrams

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  1. Robert Abrams
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Editor information

Editors and Affiliations

  1. Center for Cybernetic Studies, University of Texas at Austin, 78712, Austin, Texas, USA

    A. Charnes

  2. Hollister Hall, Cornell University, 14850, Ithaca, N.Y., USA

    W. R. Lynn

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© 1975 Springer-Verlag Berlin · Heidelberg

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Abrams, R. (1975). Optimization Models for Regional Air Pollution Control. In: Charnes, A., Lynn, W.R. (eds) Mathematical Analysis of Decision Problems in Ecology. Lecture Notes in Biomathematics, vol 5. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-80924-8_5

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  • DOI: https://doi.org/10.1007/978-3-642-80924-8_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-07188-4

  • Online ISBN: 978-3-642-80924-8

  • eBook Packages: Springer Book Archive

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