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Volume 27 Issue 3

May  2010

Article Contents
Article >  ADVANCES IN ATMOSPHERIC SCIENCES  > 2010 >  27(3): 621-628

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


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.
  • [1] CHENG Xueling, HU Fei, 2005: Numerical Studies on Flow Fields Around Buildings in an Urban Street Canyon and Cross-Road, ADVANCES IN ATMOSPHERIC SCIENCES, 22, 290-299.  doi: 10.1007/BF02918518
    [2] LI Lei, YANG Lin, ZHANG Li-Jie, JIANG Yin, 2012: Numerical Study on the Impact of Ground Heating and Ambient Wind Speed on Flow Fields in Street Canyons, ADVANCES IN ATMOSPHERIC SCIENCES, 29, 1227-1237.  doi: 10.1007/s00376-012-1066-3
    [3] Jae-Jin KIM, Jong-Jin BAIK, 2005: Physical Experiments to Investigate the Effects of Street Bottom Heating and Inflow Turbulence on Urban Street-Canyon Flow, ADVANCES IN ATMOSPHERIC SCIENCES, 22, 230-237.  doi: 10.1007/BF02918512
    [4] JIANG Yujun, LIU Huizhi, SANG Jianguo, ZHANG Boyin, 2007: Numerical and Experimental Studies on Flow and Pollutant Dispersion in Urban Street Canyons, ADVANCES IN ATMOSPHERIC SCIENCES, 24, 111-125.  doi: 10.1007/s00376-007-0111-0
    [5] LIU Huizhi, LIANG Bin, ZHU Fengrong, ZHANG Boyin, SANG Jianguo, 2003: A Laboratory Model for the Flow in Urban Street Canyons Induced by Bottom Heating?, ADVANCES IN ATMOSPHERIC SCIENCES, 20, 554-564.  doi: 10.1007/BF02915498
    [6] Jae-Jin KIM, Jong-Jin BAIK, 2010: Effects of Street-Bottom and Building-Roof Heating on Flow in Three-Dimensional Street Canyons, ADVANCES IN ATMOSPHERIC SCIENCES, 27, 513-527.  doi: 10.1007/s00376-009-9095-2
    [7] MIAO Yucong, LIU Shuhua, CHEN Bicheng, ZHANG Bihui, WANG Shu, LI Shuyan, 2013: Simulating Urban Flow and Dispersion in Beijing by Coupling a CFD Model with the WRF Model, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 1663-1678.  doi: 10.1007/s00376-013-2234-9
    [8] MIAO Yucong, LIU Shuhua, ZHENG Hui, ZHENG Yijia, CHEN Bicheng, WANG Shu, 2014: A Multi-Scale Urban Atmospheric Dispersion Model for Emergency Management, ADVANCES IN ATMOSPHERIC SCIENCES, 31, 1353-1365.  doi: 10.1007/s00376-014-3254-9
    [9] Ning ZHANG, Yunsong DU, Shiguang MIAO, 2016: A Microscale Model for Air Pollutant Dispersion Simulation in Urban Areas: Presentation of the Model and Performance over a Single Building, ADVANCES IN ATMOSPHERIC SCIENCES, 33, 184-192.  doi: 10.1007/s00376-015-5152-1
    [10] XIA Zhiye, CHEN Hongbin, XU Lisheng, WANG Yongqian, 2015: Extended Range (10-30 Days) Heavy Rain Forecasting Study Based on a Nonlinear Cross-Prediction Error Model, ADVANCES IN ATMOSPHERIC SCIENCES, 32, 1583-1591.  doi: 10.1007/s00376-015-4252-2
    [11] Yaokun LI, Jiping CHAO, Yanyan KANG, 2022: Variations in Amplitudes and Wave Energy along the Energy Dispersion Paths for Rossby Waves in the Quasigeostrophic Barotropic Model, ADVANCES IN ATMOSPHERIC SCIENCES, 39, 876-888.  doi: 10.1007/s00376-021-1244-2
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    [16] TAO Jun, CHENG Tiantao, ZHANG Renjian, CAO Junji, ZHU Lihua, WANG Qiyuan, LUO Lei, and ZHANG Leiming, 2013: Chemical composition of PM2.5 at an urban site of Chengdu in southwestern China, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 1070-1084.  doi: 10.1007/s00376-012-2168-7
    [17] Kaixu BAI, Can WU, Jianjun LI, Ke LI, Jianping GUO, Gehui WANG, 2021: Characteristics of Chemical Speciation in PM1 in Six Representative Regions in China, ADVANCES IN ATMOSPHERIC SCIENCES, 38, 1101-1114.  doi: 10.1007/s00376-020-0224-2
    [18] Denghui JI, Zhaoze DENG, Xiaoyu SUN, Liang RAN, Xiangao XIA, Disong FU, Zijue SONG, Pucai WANG, Yunfei WU, Ping TIAN, Mengyu HUANG, 2020: Estimation of PM2.5 Mass Concentration from Visibility, ADVANCES IN ATMOSPHERIC SCIENCES, 37, 671-678.  doi: 10.1007/s00376-020-0009-7
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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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      沈阳化工大学材料科学与工程学院 沈阳 110142

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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
    • Manuscript received: 2010-05-10
    • Manuscript revised: 2010-05-10

    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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