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Optimized Arrangement of Constant Ambient Air Monitoring Stations in the Kanto Region of Japan

Author

Listed:
  • Shintaro Shirato

    (Department of Environmental Systems, Institute of Frontier Sciences, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8563, Japan)

  • Atsushi Iizuka

    (Department of Environmental Systems, Institute of Frontier Sciences, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8563, Japan
    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)

  • Atsushi Mizukoshi

    (Department of Environmental Systems, Institute of Frontier Sciences, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8563, Japan
    Tokyo Metropolitan Industrial Technology Research Institute, 2-4-10 Aomi, Koto-ku, Tokyo 135-0064, Japan
    Department of Environmental Medicine and Behavioral Science, Faculty of Medicine, Kinki University, 377-2, Ohno-higashi, Osakasayama, Osaka, 589-8511, Japan)

  • Miyuki Noguchi

    (Department of Environmental Systems, Institute of Frontier Sciences, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8563, Japan
    Department of Materials and Life Science, Faculty of Science and Technology, Seikei University, 3-3-1 Kichijoji-kitamachi, Musashino, Tokyo 180-8633, Japan)

  • Akihiro Yamasaki

    (Department of Materials and Life Science, Faculty of Science and Technology, Seikei University, 3-3-1 Kichijoji-kitamachi, Musashino, Tokyo 180-8633, Japan)

  • Yukio Yanagisawa

    (Department of Environmental Systems, Institute of Frontier Sciences, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8563, Japan)

Abstract

Continuous ambient air monitoring systems have been introduced worldwide. However, such monitoring forces autonomous communities to bear a significant financial burden. Thus, it is important to identify pollutant-monitoring stations that are less efficient, while minimizing loss of data quality and mitigating effects on the determination of spatiotemporal trends of pollutants. This study describes a procedure for optimizing a constant ambient air monitoring system in the Kanto region of Japan. Constant ambient air monitoring stations in the area were topologically classified into four groups by cluster analysis and principle component analysis. Then, air pollution characteristics in each area were reviewed using concentration contour maps and average pollution concentrations. We then introduced three simple criteria to reduce the number of monitoring stations: (1) retain the monitoring station if there were similarities between its data and average data of the group to which it belongs; (2) retain the station if its data showed higher concentrations; and (3) retain the station if the monitored concentration levels had an increasing trend. With this procedure, the total number of air monitoring stations in suburban and urban areas was reduced by 36.5%. The introduction of three new types of monitoring stations is proposed, namely, mobile, for local non-methane hydrocarbon pollution, and O x -prioritized.

Suggested Citation

  • Shintaro Shirato & Atsushi Iizuka & Atsushi Mizukoshi & Miyuki Noguchi & Akihiro Yamasaki & Yukio Yanagisawa, 2015. "Optimized Arrangement of Constant Ambient Air Monitoring Stations in the Kanto Region of Japan," IJERPH, MDPI, vol. 12(3), pages 1-17, March.
    • Handle: RePEc:gam:jijerp:v:12:y:2015:i:3:p:2950-2966:d:46591
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    References listed on IDEAS

    as
    1. Pei Li & Jinyuan Xin & Xiaoping Bai & Yuesi Wang & Shigong Wang & Shixi Liu & Xiaoxin Feng, 2013. "Observational Studies and a Statistical Early Warning of Surface Ozone Pollution in Tangshan, the Largest Heavy Industry City of North China," IJERPH, MDPI, vol. 10(3), pages 1-14, March.
    2. Atsushi Iizuka & Shintaro Shirato & Atsushi Mizukoshi & Miyuki Noguchi & Akihiro Yamasaki & Yukio Yanagisawa, 2014. "A Cluster Analysis of Constant Ambient Air Monitoring Data from the Kanto Region of Japan," IJERPH, MDPI, vol. 11(7), pages 1-12, July.
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