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Indoor and Built Environment
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Interior Air Pollution in Automotive Cabins by Volatile Organic Compounds Diffusing from Interior Materials: II. Influence of Manufacturer, Specifications and Usage Status on Air Pollution, and Estimation of Air Pollution Levels in Initial Phases of Delivery as a New Car

Toshiaki Yoshida

Osaka Prefectural Institute of Public Health, 1-3-69, Nakamichi, Higashinari-ku, Osaka 537-0025, Japan, tsyosida{at}iph.pref.osaka.jp

Ichiro Matsunaga

Osaka Prefectural Institute of Public Health, 1-3-69, Nakamichi, Higashinari-ku, Osaka 537-0025, Japan

Kimiko Tomioka

Osaka Prefectural Institute of Public Health, 1-3-69, Nakamichi, Higashinari-ku, Osaka 537-0025, Japan

Shinji Kumagai

Osaka Prefectural Institute of Public Health, 1-3-69, Nakamichi, Higashinari-ku, Osaka 537-0025, Japan

Air pollution in the cabins of 101 Japanese cars due to organic compounds diffusing from the interior materials has been described in our previous report. In the present study, the influence of the manufacturer, specifications and usage status of these cars on the interior air pollution was evaluated by covariance analysis. Also, the levels of air pollution in the initial phases of delivery as a new car were estimated using previous data for the time-courses of interior concentrations of organic compounds measured in another new car. The findings showed greater air pollution in the cabins of luxury cars, with leather seats or leather steering wheels, or high-end catalogue prices. Differences in the specifications contributed more markedly to interior air pollution than differences in manufacturers. Also, usage status, such as everyday ventilation affected the long-term interior air quality. The sum values of interior concentrations of 154 compounds, for which there were time-course data, were estimated to be approximately 1700 µg·m-3 as a median (max. 11,000 µg·m-3) at 1 month from delivery (interior temperature, 32°C; interior humidity, 45%).

Key Words: Interior temperature • Interior humidity • Number of lapsed days • Multiple linear regression analysis • Covariance analysis • Total VOC

Indoor and Built Environment, Vol. 15, No. 5, 445-462 (2006)
DOI: 10.1177/1420326X06069462


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