A cluster analysis of constant ambient air monitoring data from the kanto region of Japan

Atsushi Iizuka, Shintaro Shirato, Atsushi Mizukoshi, Miyuki Noguchi, Akihiro Yamasaki, Yukio Yanagisawa

    Research output: Contribution to journalArticlepeer-review

    9 Citations (Scopus)


    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.

    Original languageEnglish
    Pages (from-to)6844-6855
    Number of pages12
    JournalInternational journal of environmental research and public health
    Issue number7
    Publication statusPublished - 2014 Jul 3


    • Cluster analysis
    • Constant ambient air monitoring
    • Kanto region
    • Non-methane hydrocarbon
    • Suspended particulate matter

    ASJC Scopus subject areas

    • Public Health, Environmental and Occupational Health
    • Health, Toxicology and Mutagenesis

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