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Author:

Chen, C. (Chen, C..) (Scholars:陈超) | Wan, Y. (Wan, Y..) | Chen, Z. (Chen, Z..) | Lin, J. (Lin, J..) | Wang, Y. (Wang, Y..) | Wu, Y. (Wu, Y..) | Zhao, L. (Zhao, L..)

Indexed by:

Scopus PKU CSCD

Abstract:

The window cracks is one of the important passageway that atmospheric fine particulate matter (PM2.5) get through into the indoor environment and then causing the indoor personal PM2.5 exposure. In order to evaluate the characteristics of air infiltration through the window cracks, a longitudinal monitoring regarding both indoor and outdoor PM2.5 mass concentrations and meteorological parameters (e.g. temperature, wind speed and relative humidity) were carried out in an unoccupied office located in Beijing from September 2013 to August 2014, with the condition of no mechanical ventilation and no indoor PM2.5 pollution sources. Additionally, a mathematical model of air infiltration rate based on a large number of measured data combined with mass conservation theorem and the method of mathematical statistics was developed. The results show that the outdoor weather conditions and atmospheric PM2.5 concentrations is the important factor of the air infiltration rate in a room which has a certain window structure (the PM2.5 penetration factor (P) is 0.93±0.01 and deposition rate (k) is 0.10±0.03 for the sampling site). Influenced by the change of the outdoor wind speed, the average air infiltration rate is about 0.10 h-1 at static stability days, and it is about 0.22 h-1 at gentle breeze days, as well as 0.39 h-1 at moderate breeze days. © 2017, Editorial Department of Journal of Beijing University of Technology. All right reserved.

Keyword:

Air exchange rate; Atmospheric fine particulate matter (PM2.5); Infiltration; Mathematical model

Author Community:

  • [ 1 ] [Chen, C.]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Wan, Y.]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 3 ] [Chen, Z.]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 4 ] [Lin, J.]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 5 ] [Wang, Y.]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 6 ] [Wu, Y.]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 7 ] [Zhao, L.]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 8 ] [Zhao, L.]China Academy of Building Research, Beijing, 100013, China

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Source :

Journal of Beijing University of Technology

ISSN: 0254-0037

Year: 2017

Issue: 2

Volume: 43

Page: 285-293

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 5

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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