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Title: SURVEY OF STATISTICAL MODELS FOR OXIDANT AIR QUALITY PREDICTION
Accession Number: 00139651
Record Type: Component
Availability: Find a library where document is available Abstract: The statistical-empirical approach to oxidant modeling is reviewed with particular reference to oxidant prediction. Such modeling is currently proceeding in 2 directions. The first, short term oxidant forecasting over the range of hours to days, has the goal of episode control by short-term emission control as well as the issuance of health and perhaps agricultural warnings. The major tools as Box-Jenkins time series analysis, multiple regression, and aspects of pattern recognition. The second direction is long term prediction over the scale of years of the expected changes in oxidant levels due to changes in total reactive hydrocarbons (RHC) and nitrogen oxides (NOX) emissions, either aggregated for an air basin or more rarely spatially resolved. The goal of such prediction is the assessment of probable effects on oxidant air quality of various emission control strategies, regional planning, transportation planning, and environmental impact reports. The major categories of models are rollback, prediction from HC, prediction from NOX, and spatial resolution. The advantages of using statistical-empirical models include (a) their close relation to the actual air measurement data from which they are derived, allowing the possibility of correct prediction even in the absence of understanding of the underlying phenomena, and (b) their simplicity and low cost of development and use. Disadvantages and dangers in the use of this modeling techniques and other techniques (smog chamber modeling, mechanistic modeling) are noted.
Supplemental Notes: Distribution, posting, or copying of this PDF is strictly prohibited without written permission of the Transportation Research Board of the National Academy of Sciences. Unless otherwise indicated, all materials in this PDF are copyrighted by the National Academy of Sciences. Copyright © National Academy of Sciences. All rights reserved. Presented at the Conference on the State of the Art of Assessing Transportation-Related Air Quality Impacts, Washington, D.C., October 22-24, 1975.
Monograph Title: Monograph Accession #: 01411731
Corporate Authors: Transportation Research Board (TRB) Washington, DC Authors: Myrabo, Leik NWilson, Kent RTrijonis, John CPagination: pp 46-62
Publication Date: 1976
Conference:
Conference on the State of the Art of Assessing Transportation-Related Air Quality Impacts
Location:
Washington District of Columbia, United States Media Type: Digital/other
Features: Figures
(10)
; References
(39)
TRT Terms:
Air pollution; Air quality management; Data collection; Environmental impact statements; Exhaust gases; Forecasting; Hydrocarbons; Mathematical models; Multiple regression analysis; Nitric oxide; Nitrogen oxides; Oxidizing agents; Pattern recognition systems; Regional planning; Statistical analysis; Surveys; Transportation planning
Uncontrolled Terms: Old TRIS Terms: Subject Areas: Administration and Management; Data and Information Technology; Design; Highways; Safety and Human Factors
Files: TRIS, TRB, ATRI
Created Date: Sep 21 1976 12:00AM
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