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Study of the dispersion process of vehicular emissions at a specific site in Belo Horizonte using numerical simulation

机译:使用数值模拟研究贝洛奥里藏特特定地点的汽车排放物扩散过程

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In this study, the California Line Source for Queuing & Hot Spot Calculations Refined (CAL3QHCR) model was used to assess the contribution of particulate matter (PM) from vehicular exhausts to the air quality of a specific site in downtown Belo Horizonte. Meteorological, traffic, signalization, and vehicular emissions data were collected and analyzed according to the CAL3QHCR model's requirements. Due to the absence of PM emission factors for the Belo Horizonte region, it was opted to use previously established factors for vehicles as measured in the Sao Paulo metropolitan area. Concentration results obtained through simulations were compared to PM_(10) and PM_(2.5) concentration experimental data, which consisted of samples collected from an air quality monitoring station located in the micro-region selected for this research. For all scenarios considered, concentration values predicted by the model were lower than experimental concentrations. The sensitivity analysis showed that the vehicular emissions factor influenced simulation results more than other input parameters. Thus more research in the area would be indispensable for obtaining specific emission factors for the region without discarding the possibility of establishing a vehicle inspection program through random sampling in Belo Horizonte.
机译:在本研究中,使用加利福尼亚细化排队和热点计算的线源(CAL3QHCR)模型来评估车辆排气中颗粒物(PM)对贝洛奥里藏特市区特定地点空气质量的影响。根据CAL3QHCR模型的要求,收集并分析了气象,交通,信号和车辆排放数据。由于贝洛奥里藏特地区不存在PM排放因子,因此选择使用先前确定的圣保罗大城市车辆排放因子。将通过模拟获得的浓度结果与PM_(10)和PM_(2.5)浓度实验数据进行比较,该数据由从位于本研究所选的微区中的空气质量监测站收集的样本组成。对于所有考虑的情况,模型预测的浓度值均低于实验浓度。灵敏度分析表明,车辆排放因子对仿真结果的影响大于其他输入参数。因此,在该地区进行更多的研究对于获得该地区的特定排放因子将是必不可少的,而不会放弃在贝洛奥里藏特通过随机抽样建立车辆检查程序的可能性。

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