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The regulations for indoor air pollution in Japan: a public health perspective

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  • Kenichi Azuma
  • Iwao Uchiyama
  • Koichi Ikeda

Abstract

In recent years public health problems caused by indoor air pollution, known as 'Sick Building Syndrome in housing', or 'Sick House Syndrome' in Japan, have been drawing strong public concern. After conducting extensive exposure assessment, government authorities have taken effective measures to solve the problem. However, as a result of diversification and increase in quantities of industrial chemicals, existing regulations do not cover enough ranges of various potential hazardous chemicals. Hence, the regulations seek to be changed from hazard-based regulation to a risk-based one. Good indoor air quality (IAQ), which does not pose unacceptable health risks from all pollutants affecting indoor air, should be ensured for all public people. The objective of this study is to clarify the remaining issues to be solved urgently, related to the regulations to ensure a good IAQ. We reviewed enormous numbers of the existing governmental and industrial voluntary standards and/or guidelines, literature and documents concerning IAQ research in the past 40 years. Our results showed six subjects from those remaining issues. Based on these subjects we created a new scheme to control the IAQ; we especially regarded a comprehensive labeling system as one of the important strategies.

Suggested Citation

  • Kenichi Azuma & Iwao Uchiyama & Koichi Ikeda, 2008. "The regulations for indoor air pollution in Japan: a public health perspective," Journal of Risk Research, Taylor & Francis Journals, vol. 11(3), pages 301-314, April.
    • Handle: RePEc:taf:jriskr:v:11:y:2008:i:3:p:301-314
    DOI: 10.1080/13669870801967119
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    Cited by:

    1. Hironari Sakamoto & Shigehisa Uchiyama & Ayana Sato & Tomohiko Isobe & Naoki Kunugita & Hironao Ogura & Shoji F. Nakayama, 2022. "Health Risk Assessment Based on Exposure to Chemicals in Air," IJERPH, MDPI, vol. 19(23), pages 1-13, November.
    2. Ling-Tim Wong & Kwok-Wai Mui & Tsz-Wun Tsang, 2022. "Updating Indoor Air Quality (IAQ) Assessment Screening Levels with Machine Learning Models," IJERPH, MDPI, vol. 19(9), pages 1-23, May.
    3. Hironari Sakamoto & Shigehisa Uchiyama & Tomohiko Isobe & Naoki Kunugita & Hironao Ogura & Shoji F. Nakayama, 2021. "Spatial Variations of Indoor Air Chemicals in an Apartment Unit and Personal Exposure of Residents," IJERPH, MDPI, vol. 18(21), pages 1-11, November.

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