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Influence of atmospheric fine particulate matter (PM_(2.5)) pollution on indoor environment during winter in Beijing

机译:北京冬季大气细颗粒物(PM_(2.5))污染对室内环境的影响

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摘要

The objective of this study was to investigate the influence of atmospheric fine particulate matter (PM_(2.5)) pollution on indoor environment. Time series of indoor and outdoor PM_(2.5) mass concentrations in a naturally ventilated building were monitored continuously and simultaneously in winter in Beijing when haze-fog episodes happen frequently. Relationships between indoor and outdoor PM_(2.5) mass concentrations were examined and discussed. Indoor and outdoor PM_(2.5) mass concentrations showed close correlation (R~2 = 0.9104) when the windows are closed and there are no obvious indoor particle sources. The peak values of average indoor PM_(2.5) mass concentrations appeared at night, which were 1.5 times higher than the minimum values in daytime and showed an increasing trend from Monday to Friday in workdays. The indoor/outdoor PM_(2.5) mass concentrations ratios (I/O ratios) are closely correlated with outdoor wind speed and relative humidity. A prediction model was developed based on a method of mathematical statistics and it was applied to estimation of indoor PM_(2.5) mass concentrations by using outdoor PM_(2.5) mass concentrations and meteorological parameters as inputs. There is a good agreement between model results and the measured values with correlation coefficients of R~2 = 0.95. The findings can provide meaningful reference to further research on influence of atmospheric PM_(2.5) on indoor environment and help further develop approaches to control outdoor originated indoor PM_(2.5) in the haze-fog episodes.
机译:这项研究的目的是调查大气细颗粒物(PM_(2.5))污染对室内环境的影响。在北京,冬季经常发生雾霾天气时,连续和同时监测自然通风建筑物中室内和室外PM_(2.5)质量浓度的时间序列。室内和室外PM_(2.5)质量浓度之间的关系进行了检查和讨论。当窗户关闭且室内没有明显的颗粒物源时,室内和室外的PM_(2.5)质量浓度显示出密切的相关性(R〜2 = 0.9104)。室内平均PM_(2.5)质量浓度的峰值出现在晚上,比白天的最小值高1.5倍,并且在周一至周五的工作日呈上升趋势。室内/室外PM_(2.5)质量浓度比(I / O比)与室外风速和相对湿度密切相关。建立了基于数学统计方法的预测模型,并以室外PM_(2.5)质量浓度和气象参数为输入,将其应用于室内PM_(2.5)质量浓度估算。模型结果与实测值之间具有很好的一致性,相关系数为R〜2 = 0.95。这些发现可为进一步研究大气PM_(2.5)对室内环境的影响提供有意义的参考,并有助于进一步开发控制雾霾天气中室外起源的室内PM_(2.5)的方法。

著录项

  • 来源
    《Building and Environment》 |2015年第5期|283-291|共9页
  • 作者单位

    College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124, PR China,Institute of Building Environment and Energy Saving, China Academy of Building Research, Beijing 100013, PR China;

    College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124, PR China;

    College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124, PR China;

    College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124, PR China;

    Department of Civil and Environmental Engineering, Soochow University, Suzhou 215131, PR China;

    Institute of Building Environment and Energy Saving, China Academy of Building Research, Beijing 100013, PR China;

    College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124, PR China;

    College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124, PR China;

    College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124, PR China;

    Institute of Building Environment and Energy Saving, China Academy of Building Research, Beijing 100013, PR China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Haze-fog episodes; Indoor; Fine particulate matter (PM_(2.5)); Natural ventilation; Modeling;

    机译:雾霾发作;室内;细颗粒物(PM_(2.5));自然通风;造型;

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