An observational campaign was conducted in the street canyon of Zhujiang Road in Nanjing city in 2007. Hourly mean concentrations of PM10 were measured at street and roof levels. The Operational Street Pollution Model (OSPM) street canyon dispersion model was used to calculate the street concentrations and the results were compared with the measurements. The results show that there is good agreement between measured and predicted concentrations. The correlation coefficient R2 values (R2 is a measure of the correlation of the predicted and measured time series of concentrations) are 0.5319, 0.8044, and 0.6630 for the scatter plots of PM10 corresponding to light wind speed conditions, higher wind speed conditions, and all wind speed conditions, respectively. PM10 concentrations tend to be smaller for the higher wind speed cases and decrease rapidly with increasing wind speed. The presentations of measured and modelled concentration dependence on wind direction show fairly good agreement. PM10 concentrations measured on the windward side are relatively smaller, compared with the corresponding results for the leeward side. This study demonstrates that it is possible to use the OSPM to model PM10 dispersion rules for an urban street canyon.
机构:
School of Chemical Engineering,Nanjing University of Science and TechnologySchool of Chemical Engineering,Nanjing University of Science and Technology
机构:
Chinese Acad Sci, Guangzhou Inst Energy Convers, Beijing 100864, Peoples R ChinaChinese Acad Sci, Guangzhou Inst Energy Convers, Beijing 100864, Peoples R China
Wang, P.
Zhao, D.
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Chinese Acad Sci, Guangzhou Inst Energy Convers, Beijing 100864, Peoples R ChinaChinese Acad Sci, Guangzhou Inst Energy Convers, Beijing 100864, Peoples R China
Zhao, D.
Wang, W.
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Chinese Acad Sci, Guangzhou Inst Energy Convers, Beijing 100864, Peoples R ChinaChinese Acad Sci, Guangzhou Inst Energy Convers, Beijing 100864, Peoples R China
Wang, W.
Mu, H.
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Dalian Univ Technol, Key Lab Ocean Energy Utilizat & Energy Conservat, Minist Educ, Dalian, Peoples R ChinaChinese Acad Sci, Guangzhou Inst Energy Convers, Beijing 100864, Peoples R China
Mu, H.
Cai, G.
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Chinese Acad Sci, Guangzhou Inst Energy Convers, Beijing 100864, Peoples R ChinaChinese Acad Sci, Guangzhou Inst Energy Convers, Beijing 100864, Peoples R China
Cai, G.
Liao, C.
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Chinese Acad Sci, Guangzhou Inst Energy Convers, Beijing 100864, Peoples R ChinaChinese Acad Sci, Guangzhou Inst Energy Convers, Beijing 100864, Peoples R China
机构:
Univ Shanghai Sci & Technol, Sch Environm & Architecture, Shanghai 200093, Peoples R China
Kyung Hee Univ, Coll Engn, Yongin 449701, South KoreaUniv Shanghai Sci & Technol, Sch Environm & Architecture, Shanghai 200093, Peoples R China
Huang, Yuan-dong
Xu, Xuan
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Univ Shanghai Sci & Technol, Sch Environm & Architecture, Shanghai 200093, Peoples R ChinaUniv Shanghai Sci & Technol, Sch Environm & Architecture, Shanghai 200093, Peoples R China
Xu, Xuan
Liu, Ze-Yu
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Univ Shanghai Sci & Technol, Sch Environm & Architecture, Shanghai 200093, Peoples R ChinaUniv Shanghai Sci & Technol, Sch Environm & Architecture, Shanghai 200093, Peoples R China
Liu, Ze-Yu
Kim, Chang-Nyung
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Kyung Hee Univ, Coll Engn, Yongin 449701, South Korea
Kyung Hee Univ, Ind Liaison Res Inst, Yongin, South KoreaUniv Shanghai Sci & Technol, Sch Environm & Architecture, Shanghai 200093, Peoples R China