Abstract
This paper presents an exploratory analysis of air pollution data employing GUHA method. The aim is to examine if there are any significant relations between quantity of ozone (O3) air pollution and quantity of other types of pollution (NO, NO2). Influence of physical conditions (humidity, temperature) is examined too. The analysis is performed on base of data collected at several measuring stations localized across the Czech Republic.
This work was supported by APPETISE project grant EU No. IST-99-11764 and by GA CR 201/00/1489.
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References
http://www.uea.ae.uk/env/appetise/
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© 2001 Springer-Verlag Wien
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Coufal, D. (2001). GUHA Analysis of Air Pollution Data. In: Kůrková, V., Neruda, R., Kárný, M., Steele, N.C. (eds) Artificial Neural Nets and Genetic Algorithms. Springer, Vienna. https://doi.org/10.1007/978-3-7091-6230-9_116
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DOI: https://doi.org/10.1007/978-3-7091-6230-9_116
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-83651-4
Online ISBN: 978-3-7091-6230-9
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