The determinants of bioaerosol in metro station and domestic airplane cabin in Taiwan

碩士 === 中國醫藥大學 === 職業安全衛生學系 === 96 === Several mass transportation systems have been established in Taiwan. Each month, approximately 500-600 thousand passengers are carried on domestic airlines, and 34 million passengers are carried on metro in Taiwan. Along with the increasing passenger population,...

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Bibliographic Details
Main Authors: Chun-Yu Chou, 周俊佑
Other Authors: 黃彬芳
Format: Others
Language:zh-TW
Published: 2008
Online Access:http://ndltd.ncl.edu.tw/handle/54664890153569086531
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Summary:碩士 === 中國醫藥大學 === 職業安全衛生學系 === 96 === Several mass transportation systems have been established in Taiwan. Each month, approximately 500-600 thousand passengers are carried on domestic airlines, and 34 million passengers are carried on metro in Taiwan. Along with the increasing passenger population, the indoor air quality should be more important than ever. This study was to assess the determinants of bioaerosol in the metro station and airplane cabin in Taiwan. During July to December 2007, twenty-four domestic flights and five metro stations were selected for sample collection. In the multivariate analysis, the determinants included bacterial, person, temperature, humidity, carbon dioxide, timing and stations.We focused on three underground metro stations. The results of two regression forecasting models showed CO2 (ppm) = 743.9 + 3.883 (RH, %) + 0.198 (Person) + 59.282T1 + 63.969T2 + 139.201T3 + 168.839T4 + 267.759T5 + 253.559T6 + 203.554T7 - 602.860S1 - 342.656S2 (R2=0.881) and Log(Bacterial concentration, CFU/m3) = 1.992 + 0.008 (RH, %) + 0.001(CO2, ppm) - 0.136T1 - 0.219T2 - 0.212T3 - 0.301T4 - 0.326T5 - 0.519T6 - 0.461T7 - 0.625S1 + 0.729S2 (R2=0.837). The results show that we can take these models as an effective tool to predict CO2 and bacterial concentration in these three underground stations.