Cluster Analysis Application To Automatic Air Pollution Dispersive Pattern Recognition In Complex Terrain Areas

Application of cluster analysis to meteorological parameters has made possible to recognize different air pollution situations as they are perceived by a monitoring network, thereafter assigning a concentration field to each standard situation. Those dispersive patterns are associated to specific SO...

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Bibliographic Details
Published inWIT Transactions on Ecology and the Environment Vol. 5
Main Authors Ibarra, G, Alonso, L, Navazo, M, Elias, A, Gangoiti, G
Format Journal Article
LanguageEnglish
Published Southampton W I T Press 01.01.1994
Subjects
Air pollution
Algorithms
Cluster analysis
Dispersion
Hyperspaces
Meteorological parameters
Pattern recognition
Pollution
Pollution monitoring
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Summary:Application of cluster analysis to meteorological parameters has made possible to recognize different air pollution situations as they are perceived by a monitoring network, thereafter assigning a concentration field to each standard situation. Those dispersive patterns are associated to specific SO% concentration fields and had been previously identified by experimental dispersion studies. Concurrently, an algorithm has been developed which assigns each day of data to a specific standard situation with on-line meteorological data from the network. The algorithm designed for this purpose is based on the definition of «distance between one day (case) and an ideal dispersive pattern» within a 240 dimensions hyperspace.
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ISSN:1746-448X
1743-3541
DOI:10.2495/ENV940021