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作者:

Wang, Y.-F. (Wang, Y.-F..) | Chen, C. (Chen, C..) (学者:陈超) | Chen, Z.-G. (Chen, Z.-G..) | Wan, Y.-L. (Wan, Y.-L..) | Zhao, L. (Zhao, L..)

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摘要:

Outdoor Fine Particular Matter (PM2.5) can enter the room through both ventilation and infiltration, and this will make indoor air polluted. Penetration factor (P), deposition loss rate (k) and air exchange rate (a) are important parameters that can be used to evaluate the degree of indoor air pollution caused by PM2.5. Currently, these parameters were mostly derived from either laboratory experiment or theoretical deduction. According to the law of conservation of mass, statistical method and control variable method, a new model estimating the above three parameters was developed in this study, based on a big number of field monitored data, and the model can be used for a variety of applications. The model has been used to calculate the penetration factor and deposition loss rate at two case study office buildings and the prediction gave 0.97 (P) and 0.12 (k), and, 0.97 (P) and 0.24 (k), respectively. This model can be considered as a new method for studying the penetration characteristics of external windows, the correlation between outdoor and indoor PM2.5 pollutions, and the quantification of indoor concentration of PM2.5. © 2016, Editorial Board of China Environmental Science. All right reserved.

关键词:

Crack ventilation; Deposition characteristic; Infiltration characteristic; PM2.5; Prediction model

作者机构:

  • [ 1 ] [Wang, Y.-F.]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Chen, C.]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 3 ] [Chen, Z.-G.]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 4 ] [Wan, Y.-L.]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 5 ] [Zhao, L.]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 6 ] [Zhao, L.]Institute of Building Environment and Energy Saving, China Academy of Building Research, Beijing, 100013, China

通讯作者信息:

  • 陈超

    [Chen, C.]College of Architecture and Civil Engineering, Beijing University of TechnologyChina

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来源 :

China Environmental Science

ISSN: 1000-6923

年份: 2016

期: 7

卷: 36

页码: 1960-1966

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