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Pattern recognition methods in air pollution control

Abstract

The use of pattern recognition methods for predicting air pollution developments is discussed. Computer analysis of historical pollution data allows comparison in graphical form. An example of crisis prediction for carbon monoxide concentrations, using the pattern recognition method of analysis, is presented. Results of the analysis agreed well with actual CO conditions. (6 graphs, 4 references, 1 table)
Authors:
Publication Date:
Jan 01, 1978
Product Type:
Journal Article
Reference Number:
EDB-80-072649
Resource Relation:
Journal Name: Atmos. Environ.; (United Kingdom); Journal Volume: 12:12
Subject:
54 ENVIRONMENTAL SCIENCES; AIR POLLUTION; FORECASTING; PATTERN RECOGNITION; POLLUTION; 500200* - Environment, Atmospheric- Chemicals Monitoring & Transport- (-1989)
OSTI ID:
5395244
Research Organizations:
Portland State Univ
Country of Origin:
United Kingdom
Language:
English
Other Identifying Numbers:
Journal ID: CODEN: ATENB
Submitting Site:
ESI
Size:
Pages: 2377-2382
Announcement Date:
Dec 01, 1979

Citation Formats

Tauber, S. Pattern recognition methods in air pollution control. United Kingdom: N. p., 1978. Web. doi:10.1016/0004-6981(78)90279-2.
Tauber, S. Pattern recognition methods in air pollution control. United Kingdom. https://doi.org/10.1016/0004-6981(78)90279-2
Tauber, S. 1978. "Pattern recognition methods in air pollution control." United Kingdom. https://doi.org/10.1016/0004-6981(78)90279-2.
@misc{etde_5395244,
title = {Pattern recognition methods in air pollution control}
author = {Tauber, S}
abstractNote = {The use of pattern recognition methods for predicting air pollution developments is discussed. Computer analysis of historical pollution data allows comparison in graphical form. An example of crisis prediction for carbon monoxide concentrations, using the pattern recognition method of analysis, is presented. Results of the analysis agreed well with actual CO conditions. (6 graphs, 4 references, 1 table)}
doi = {10.1016/0004-6981(78)90279-2}
journal = []
volume = {12:12}
journal type = {AC}
place = {United Kingdom}
year = {1978}
month = {Jan}
}