IJPAM: Volume 81, No. 3 (2012)

CLUSTERING OF AIR QUALITY AND
METEOROLOGICAL VARIABLES ASSOCIATED
WITH HIGH GROUND OZONE CONCENTRATION
IN THE INDUSTRIAL AREAS, AT THE EAST OF THAILAND

Kidakan Saithan$^1$, Jatupat Mekparyup$^2$
$^{1,2}$Department of Mathematics
Burapha University
169, Tambon Saensook, Amphur Muang, Chonburi, 20131, THAILAND


Abstract. Both Chonburi and Rayong provinces located on the eastern shore of the Gulf of Thailand. Their terrain is composed of coastline and numerous industrial factories therefore it plays an important role in air pollution events including ozone problem. Cluster analysis was applied to determine the spatial patterns of daily ground ozone maximum in two situations. Cluster of variables was firstly used to group various air quality variables and meteorological variables. If any of two or more variables were high association, they would be classified in the same group. Cluster of objects was secondly utilized to categorize the days of having high ground ozone concentration. The results demonstrated that there were four clusters of variables in the air, Cluster #1: air quality variables, Cluster #2: pressure, Cluster #3: temperature, sun radiation and wind speed and Cluster #4: rain, relative humidity and wind direction. For grouping of high ground ozone concentration days with similar physical characteristic, it exposed that there were three distinct clusters relating to the time of day: Cluster #1: days with dusk time, Cluster #2: days with during noon to afternoon and Cluster #3: days with evening interval.

Received: September 11, 2012

AMS Subject Classification: 62H30

Key Words and Phrases: cluster analysis, cluster of variables, cluster of objects, ground ozone

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Source: International Journal of Pure and Applied Mathematics
ISSN printed version: 1311-8080
ISSN on-line version: 1314-3395
Year: 2012
Volume: 81
Issue: 3