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Using the OSPM Model on Pollutant Dispersion in an Urban Street Canyon


doi: 10.1007/s00376-009-9064-9

  • An observational campaign was conducted in the street canyon of Zhujiang Road in Nanjing city in 2007. Hourly mean concentrations of P10 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.
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Manuscript History

Manuscript received: 10 May 2010
Manuscript revised: 10 May 2010
通讯作者: 陈斌, bchen63@163.com
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Using the OSPM Model on Pollutant Dispersion in an Urban Street Canyon

  • 1. School of Chemical Engineering, Nanjing University of Science and Technology, Nanjing 210094,School of Chemical Engineering, Nanjing University of Science and Technology, Nanjing 210094

Abstract: An observational campaign was conducted in the street canyon of Zhujiang Road in Nanjing city in 2007. Hourly mean concentrations of P10 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.

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