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作者:

Zhao, Li (Zhao, Li.) | Chen, Chao (Chen, Chao.) (学者:陈超) | Wang, Ping (Wang, Ping.) | Chen, Ziguang (Chen, Ziguang.) | Cao, Shijie (Cao, Shijie.) | Wang, Qingqin (Wang, Qingqin.) | Xie, Guangya (Xie, Guangya.) | Wan, Yali (Wan, Yali.) | Wang, Yafeng (Wang, Yafeng.) | Lu, Bin (Lu, Bin.)

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EI Scopus SCIE

摘要:

The objective of this study was to investigate the influence of atmospheric fine particulate matter (PM2.5) pollution on indoor environment. Time series of indoor and outdoor PM2.5 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 PM2.5 mass concentrations were examined and discussed. Indoor and outdoor PM2.5 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 PM2.5 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 PM2.5 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 PM2.5 mass concentrations by using outdoor PM2.5 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 PM2.5 on indoor environment and help further develop approaches to control outdoor originated indoor PM2.5 in the haze-fog episodes. (C) 2015 Elsevier Ltd. All rights reserved.

关键词:

Natural ventilation Haze-fog episodes Indoor Fine particulate matter (PM2.5) Modeling

作者机构:

  • [ 1 ] [Zhao, Li]Beijing Univ Technol, Coll Architecture & Civil Engn, Beijing 100124, Peoples R China
  • [ 2 ] [Chen, Chao]Beijing Univ Technol, Coll Architecture & Civil Engn, Beijing 100124, Peoples R China
  • [ 3 ] [Wang, Ping]Beijing Univ Technol, Coll Architecture & Civil Engn, Beijing 100124, Peoples R China
  • [ 4 ] [Chen, Ziguang]Beijing Univ Technol, Coll Architecture & Civil Engn, Beijing 100124, Peoples R China
  • [ 5 ] [Xie, Guangya]Beijing Univ Technol, Coll Architecture & Civil Engn, Beijing 100124, Peoples R China
  • [ 6 ] [Wan, Yali]Beijing Univ Technol, Coll Architecture & Civil Engn, Beijing 100124, Peoples R China
  • [ 7 ] [Wang, Yafeng]Beijing Univ Technol, Coll Architecture & Civil Engn, Beijing 100124, Peoples R China
  • [ 8 ] [Zhao, Li]China Acad Bldg Res, Inst Bldg Environm & Energy Saving, Beijing 100013, Peoples R China
  • [ 9 ] [Wang, Qingqin]China Acad Bldg Res, Inst Bldg Environm & Energy Saving, Beijing 100013, Peoples R China
  • [ 10 ] [Lu, Bin]China Acad Bldg Res, Inst Bldg Environm & Energy Saving, Beijing 100013, Peoples R China
  • [ 11 ] [Cao, Shijie]Soochow Univ, Dept Civil & Environm Engn, Suzhou 215131, Peoples R China

通讯作者信息:

  • 陈超

    [Chen, Chao]Beijing Univ Technol, Coll Architecture & Civil Engn, Beijing 100124, Peoples R China

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来源 :

BUILDING AND ENVIRONMENT

ISSN: 0360-1323

年份: 2015

卷: 87

页码: 283-291

7 . 4 0 0

JCR@2022

ESI学科: ENGINEERING;

ESI高被引阀值:174

JCR分区:1

中科院分区:1

被引次数:

WoS核心集被引频次: 88

SCOPUS被引频次: 102

ESI高被引论文在榜: 0 展开所有

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