Prediction model for air particulate matter levels in the households of elderly individuals in Hong Kong
Publication in refereed journal

替代計量分析
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其它資訊
摘要Air pollution has shown to cause adverse health effects on mankind. Aging causes functional decline and leaves elderly people more susceptible to health threats associated with air pollution exposure. Elderly spend approximately 80% of their lifetime at home every day. To understand air pollution exposure, indoor air pollutants are the targets for consideration especially for the elderly population. However, indoor air monitoring for epidemiological studies requires a large population, is labor intensive and time consuming. As a result, a prediction model is necessary. For 3 consecutive days in summer and winter, 24-h average of mass concentrations of fine particulate matter (aerodynamic diameter <2.5 μm: PM2.5) were measured in indoors for 116 households. A PM2.5 prediction model for elderly households in Hong Kong has been developed by combining ambient PM2.5 concentrations obtained from land use regression model and questionnaire-elicited information related to the indoor PM2.5 sources.

The fitted linear mixed-effects model is moderately predictive for the observed indoor PM2.5, with R2 = 0.67 (or R2 = 0.61 by cross-validation). The model shows indoor PM2.5 was positively influenced by outdoor PM2.5 levels. Meteorological factors (e.g. temperature and relative humidity) were related to the indoor PM2.5 in a relatively complex manner. Congested living areas, opening windows for extended periods for ventilation and use of liquefied petroleum gas for cooking were the factors determining the ultimate indoor air quality. This study aims to provide information about controlling household air quality and can be used for future epidemiological studies associated with indoor air pollution in large population.
出版社接受日期30.10.2019
著者Xinning Tong, Jason Man Wai Ho, Zhiyuan Li, Ka-Hei Lui, Timothy C. Y. Kwok, Kelvin K. F. Tsoi, K. F. Ho
期刊名稱Science of the Total Environment
出版年份2020
月份5
日期15
卷號717
出版社Elsevier
文章號碼135323
頁次1 - 14
國際標準期刊號0048-9697
電子國際標準期刊號1879-1026
語言英式英語
關鍵詞Prediction model, Linear mixed-effects regression, Indoor air, PM2.5

上次更新時間 2020-19-10 於 00:43