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Monitoring traffic related air pollutionin the city of Reggio calabria, Italy

机译:监测意大利雷焦卡拉布里亚市与交通有关的空气污染

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A study on air pollution in the city of Reggio Calabria, Italy, took place for a period of three months in 1997, centred on road traffic related pollutants by monitoring the concentration of carbon monoxide on a main street in the city centre. The comparison of the present data with the results of an air pollution monitoring campaign which the authors led in 1993 and part of 1994, aims to determine an experimental model for the forecasting of CO concentrations. The concentration of carbon monoxide was chosen as the most representative air pollutant because of its direct dependence on vehicular emissions, and also the lack of industrial areas in Reggio Calabria results in CO emissions being due almost exclusively to road traffic. The chemical data measured is carbon monoxide, and the meteorological data is wind speed and direction, temperature, cloud cover and atmospheric pressure. Measurements of traffic flows were also taken. The peculiarity of the setting, high traffic flows on an urban road with a low average speed were the premises for particularly high concentration values, but the physical characteristics of the location, and the influence of meteorological factors lowered efects below expected values. On the basis of the results of air pollution monitoring in different times of the year in the same location, a statistical model was obtained, for the purpose of determining concentrations in function of traffic and meteoroligcal data. Application of such a model on a study period gave reliable results. Even if such a model is not reliable in determining concentrations of carbon monoxide in specific locations with different features, it is adaptable to the main traffic arteries of the city, giving a valid indication of the presence of concentrations which exceed the limits set by the current legislation.
机译:1997年对意大利雷焦卡拉布里亚市的空气污染进行了为期三个月的研究,其重点是通过监测市中心主要街道上的一氧化碳浓度,研究与道路交通有关的污染物。作者与1993年和1994年部分时间领导的一项空气污染监测运动的结果进行了比较,旨在确定一个预测CO浓度的实验模型。一氧化碳的浓度被选为最具代表性的空气污染物,因为它直接依赖于车辆排放,而且雷焦卡拉布里亚缺少工业区也导致CO排放几乎完全归因于道路交通。测得的化学数据为一氧化碳,气象数据为风速和风向,温度,云量和大气压力。还对交通流量进行了测量。环境的特殊性,低平均速度的城市道路上的高交通流量是特别高的集中值的前提,但是位置的物理特征以及气象因素的影响使影响降低到低于预期值。根据一年中同一时间不同地点的空气污染监测结果,获得了一个统计模型,用于确定交通功能和流星体数据中的浓度。这种模型在研究期间的应用给出了可靠的结果。即使这样的模型在确定具有不同特征的特定位置中的一氧化碳浓度方面不可靠,也可以适用于城市的主要交通干线,可以有效指示存在的浓度超过当前设定的限值立法。

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