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Int. J. Environ. Res. Public Health 2014, 11(7), 6844-6855; doi:10.3390/ijerph110706844

A Cluster Analysis of Constant Ambient Air Monitoring Data from the Kanto Region of Japan

1
Research Center for Sustainable Science and Engineering, Institute of Multidisciplinary Research for Advanced Materials, Tohoku University, 2-1-1 Katahira, Aoba-ku, Sendai, Miyagi 980-8577, Japan
2
Department of Environmental Systems, Institute of Frontier Sciences, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8563, Japan
3
Tokyo Metropolitan Industrial Technology Research Institute, 2-4-10 Aomi, Koto-ku, Tokyo 135-0064, Japan
4
Department of Materials and Life Science, Faculty of Science and Technology, Seikei University, 3-3-1 Kichijoji-kitamachi, Musashino, Tokyo 180-8633, Japan
*
Author to whom correspondence should be addressed.
Received: 23 April 2014 / Revised: 24 June 2014 / Accepted: 25 June 2014 / Published: 3 July 2014
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Abstract

This study demonstrates an application of cluster analysis to constant ambient air monitoring data of four pollutants in the Kanto region: NOx, photochemical oxidant (Ox), suspended particulate matter, and non-methane hydrocarbons. Constant ambient air monitoring can provide important information about the surrounding atmospheric pollution. However, at the same time, ambient air monitoring can place a significant financial burden on some autonomous communities. Thus, it has been necessary to reduce both the number of monitoring stations and the number of chemicals monitored. To achieve this, it is necessary to identify those monitoring stations and pollutants that are least significant, while minimizing the loss of data quality and mitigating the effects on the determination of any spatial and temporal trends of the pollutants. Through employing cluster analysis, it was established that the ambient monitoring stations in the Kanto region could be clustered topologically for NOx and Ox into eight groups. From the results of this analysis, it was possible to identify the similarities in site characteristics and pollutant behaviors. View Full-Text
Keywords: cluster analysis; constant ambient air monitoring; Kanto region; NOx; Ox; non-methane hydrocarbon; suspended particulate matter cluster analysis; constant ambient air monitoring; Kanto region; NOx; Ox; non-methane hydrocarbon; suspended particulate matter
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Iizuka, A.; Shirato, S.; Mizukoshi, A.; Noguchi, M.; Yamasaki, A.; Yanagisawa, Y. A Cluster Analysis of Constant Ambient Air Monitoring Data from the Kanto Region of Japan. Int. J. Environ. Res. Public Health 2014, 11, 6844-6855.

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