Survey of statistical models for oxidant air quality prediction.

Author(s)
Myrabo, L.N. Wilson, K.R. & Trijonis, J.C.
Year
Abstract

The statistical-empirical approach to oxidant modeling is reviewed with particular reference to oxidant prediction. Such modeling is currently proceeding in two directions. The first is short term oxidant forecasting over the range of hours to days. The second direction is long term prediction over the scale of years. Disadvantages and dangers in the use of these: modeling techniques and other techniques are noted.

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Publication

Library number
B 12868 (In: B 10633 S) /93/ IRRD 223528
Source

In: Proceedings of a Conference on the State of the Art of Assessing Transportation-Related Air Quality Impacts Washington, October 22-24, 1975, TRB Special Report No. 167, p. 46-62, 10 graph., 39 ref.

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This publication is one of our other publications, and part of our extensive collection of road safety literature, that also includes the SWOV publications.