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Developing figures of merit for determining relative air quality

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Meyer KatzperAuthors Info & Claims

WSC '83: Proceedings of the 15th conference on Winter Simulation - Volume 2

Pages 449 - 453

Published: 12 December 1983 Publication History

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Abstract

In spite of the fact that air quality has been a major national concern for many years measures have not been taken to develop a methodology for evaluating the relative merit of air quality alternatives. The research to be presented explores the issue of relative air quality merits and develops a rating approach to determine the superior alternative. These measures have been developed and tested using pollution dispersion models and accounting for spatial and temporal patterns of ambient pollution by means of a discrete network of receptor points.

References

[1]

Environmental Protection Agency (1978) Guidelines on air quality models, EPA-450/2-78-027, April, 83pp.

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[2]

Federal Register (1979) 44fr71780, December 11

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[3]

Federal Register (1981) 416fr31261, June 15

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[4]

Gschwandtner G, Eldridge KM, Zerbonia R, (1982), Sensitivity analysis of air dispersion models for point and area sources, Journal of the Air Pollution Control Association, Volume 32, No. 10, pp. 1024-1028

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[5]

Katzper M, Ross NP, (1981), Options in air pollution modeling for regulatory purposes. In: Proceedings of the 1981 Summer Computer Simulation Conference.

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[6]

Turner DB, (1979), Atmospheric dispersion modeling, a critical review, Journal of the Air Pollution Control Association, Volume 29, No. 5, pp. 502-519

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Index Terms

Developing figures of merit for determining relative air quality
1. Applied computing
  1. Physical sciences and engineering
    1. Earth and atmospheric sciences
2. Computing methodologies
  1. Modeling and simulation
    1. Model development and analysis
      1. Modeling methodologies

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WSC '83: Proceedings of the 15th conference on Winter Simulation - Volume 2

December 1983

703 pages

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IEEE Press

Publication History

Published: 12 December 1983

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Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

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New figures of merit for best-first probabilistic chart parsing

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