CALRoads模式在上海市典型道路CO扩散预测中的应用

根据上海市市区、郊区典型主干道的气象条件、车流量、车型比例,以及CO小时质量浓度的监测资料,采用CALRoads模式中CALINE4和CAL3QHC模块,对郊区主干道和市区典型路口的适用条件分别进行了验证.结果表明,在稳定的气象条件下,CALINE4模式在模拟周围相对空旷主干道附近的CO质量浓度时,具有较好的结果,将CAL3QHC模式应用于市区典型交叉口,可以得到同监测值相对吻合的模拟结果,但准确性低于郊区.应用CALRoads模型对未来城郊典型道路附近CO高峰小时质量浓度的发展趋势进行了预测,并基于情景分析给出了减少交通污染的对策建议.

The Application ofCALRoadsM odelinto CO Concentration Prediction on TypicalRoadsin Shanghai

Two arterial roads in urban and suburban areas of Shanghai were respectively selected to do monitoring based on the meteorological conditions, vehicle flow, vehicle type ratio and CO hourly concentration. The applications of CALINE4 and CAL3QHC modules that were included in CALRoads into a suburban arterial road and urban intersection respectively have been verified with the monitoring data. The results shown that the application of CALINE4 in the suburban arterial road in Shanghai could give a relatively good result. However, the accuracy of CAL3QHC simulation on urban arterial intersections is lower than CALINE4. The CALRoads model was applied in the CO concentration prediction during the rush hour on arterial roads and intersections. Based on the scenario analysis, the strategies on reducing vehicle pollution emissions were given.