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CAL3QHC模型在阿曼马斯喀特一个道路交叉口附近预测机动车一氧化碳浓度中的应用与评估。

An application and evaluation of the CAL3QHC model for predicting carbon monoxide concentrations from motor vehicles near a roadway intersection in Muscat, Oman.

作者信息

Abdul-Wahab Sabah A

机构信息

Sultan Qaboos University, College of Engineering, Mechanical & Industrial Engineering Department, Al Khoud, P.C. 123, Muscat, Sultanate of Oman.

出版信息

Environ Manage. 2004 Sep;34(3):372-82. doi: 10.1007/s00267-004-0146-2. Epub 2004 Jul 30.

DOI:10.1007/s00267-004-0146-2
PMID:15520894
Abstract

The CAL3QHC model was used to predict carbon monoxide (CO) concentrations from motor vehicles at an existing urban intersection (Star Cinema in Muscat area, Oman). The CO concentrations predicted from the model were compared with those measured in the field. Predicted average CO concentrations were found to compare favorably with measured values obtained at all eight receptors considered within the modeled intersection. In general, the comparison indicates good agreement with some underprediction for CO. For receptor 6, the model overpredicts the average CO concentration. This overprediction is associated with the presence of trees and green area in the location of receptor 6. In general, the measurements and the model results indicated that the highest CO concentrations were found to occur close to the intersection and, hence, a decrease in the concentration levels was seen as the distance from the road increased. The results indicated that the levels of CO were well below the ambient air quality standard and that probably no health risk was present in areas adjacent to the star cinema intersection. However, the predicted worst-case 1-h CO concentrations assuming inversion atmospheric stability conditions (class F) and wind speed of 1 m/s indicated that the levels of CO were close to or higher than the Oman's National Ambient Air Quality Standards (NAAQS) value of 35 ppm at all receptors considered. The results of this study are useful in transport development and traffic management planning.

摘要

CAL3QHC模型被用于预测阿曼马斯喀特地区一个现有城市十字路口(星影院)机动车产生的一氧化碳(CO)浓度。将该模型预测的CO浓度与实地测量值进行了比较。结果发现,预测的平均CO浓度与在模型化十字路口内所考虑的所有八个受体处获得的测量值相当吻合。总体而言,这种比较表明两者吻合良好,但对CO存在一些预测不足的情况。对于受体6,该模型高估了平均CO浓度。这种高估与受体6所在位置存在树木和绿地有关。总体而言,测量结果和模型结果表明,最高的CO浓度出现在靠近十字路口的地方,因此,随着与道路距离的增加,浓度水平会降低。结果表明,CO水平远低于环境空气质量标准,在星影院十字路口附近的区域可能不存在健康风险。然而,假设大气稳定度为逆温条件(F类)且风速为1米/秒时预测的最坏情况1小时CO浓度表明,在所考虑的所有受体处,CO水平接近或高于阿曼国家环境空气质量标准(NAAQS)的35 ppm值。本研究结果对交通发展和交通管理规划具有参考价值。

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