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Urban roadside monitoring and prediction of CO, NO2 and SO2 dispersion from on-road vehicles in megacity Delhi

机译:德里大城市公路车辆的城市路边监测和预测CO,NO2和SO2的扩散

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The study inspects the traffic-induced gaseous emission dispersion characteristics from the urban roadside sites in Delhi, India. The concentration of pollutants viz. CO, NO2 and SO2 along with traffic and ambient atmospheric conditions at five selected local urban road sites were simultaneously measured. A developed General Finite Line Source Model (GFLSM) was used to predict the local roadside CO, NO2 and SO2 concentrations. A comparison of the observed and predicted values emission parameters using GFLS model has shown that the predicted values for SO2, CO and NO2 at all the selected local urban roadside locations are found to lie within the error bands of 5%, 6%, and 7% respectively. A high level of agreement was found between the monitored and estimated CO, NO2 and SO2 concentration data. From the study, it has also been established that the developed model exhibits the capability of reasonably predicting the characteristics of gaseous pollutants dispersion from on-road vehicles for the urban city air quality. (C) 2016 Elsevier Ltd. All rights reserved.
机译:该研究检查了印度德里城市路边站点的交通诱导的气体排放扩散特征。污染物的浓度即。同时测量了五个选定的当地城市道路站点的CO,NO2和SO2以及交通和周围大气状况。使用已开发的通用有限线源模型(GFLSM)来预测当地路边的CO,NO2和SO2浓度。使用GFLS模型对观测值和预测值排放参数的比较表明,在所有选定的本地城市路边位置,SO2,CO和NO2的预测值均位于5%,6%和7的误差范围内。 % 分别。在监测和估算的CO,NO2和SO2浓度数据之间发现高度一致。通过研究,还建立了开发的模型,该模型具有合理预测城市道路空气质量从公路车辆排放的气态污染物的特征的能力。 (C)2016 Elsevier Ltd.保留所有权利。

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