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Influence of building-downwash effect on urban traffic pollution

机译:建筑物下洗效果对城市交通污染的影响

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Building-downwash has recently captured the attention of environmental researchers since it may represent an undervalued danger in urban environments. Especially in certain meteorological conditions, buildings act as barriers triggering pollutant accumulation that will then increase concentration values. One of the main fostering conditions is the source altitude with respect to buildings while main roads represent important linear sources below building levels. In this work we highlight the influence of the building-downwash effect on pollution dispersion in an urban environment. In order to do this, we have run several simulations by the Aermod model coupled with the BPIP sub-model for building down-wash boundary conditions. The simulation area is an important street in the centre of Ancona, Italy. The period we considered comprises the most critical days of the 1998 and 1999 summers. We selected simulation days according to the values of solar radiation, wind speed and direction in the most critical combination for the building-downwash effect. The same simulation has been carried out with and without the downwash effect computation and interesting results have been recorded. The major pollutant concentration values in the area by increased of 20-25% when the building-downwash effect was considered. In order to overcome a lack of data and a few model limits some assumptions have been made but we consider these results as being strongly encouraging for continuing the research in this field. It clearly appears that the investigated effect is not negligible in urban environments.
机译:建筑物下水道冲洗最近引起了环境研究人员的关注,因为它可能代表着城市环境中被低估的危险。特别是在某些气象条件下,建筑物充当触发污染物积累的屏障,然后会增加浓度值。主要的培育条件之一是建筑物的源高度,而主干道则是建筑物水平以下的重要线性源。在这项工作中,我们强调了建筑物下水道效应对城市环境中污染物扩散的影响。为了做到这一点,我们通过Aermod模型与BPIP子模型相结合进行了几次模拟,以建立下冲边界条件。模拟区是意大利安科纳中心的重要街道。我们考虑的时期是1998年和1999年夏季最关键的日子。我们根据太阳辐射,风速和风向的值选择模拟天数,以最有效的组合来降低建筑物的下洗效果。在进行和不进行冲洗效果计算的情况下,都进行了相同的模拟,并且记录了有趣的结果。考虑建筑物向下冲洗的影响,该地区的主要污染物浓度值增加了20-25%。为了克服数据的缺乏和一些模型的局限性,我们进行了一些假设,但我们认为这些结果对于继续该领域的研究非常有帮助。显然,在城市环境中所研究的影响是不可忽略的。

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