Atmospheric Pollution Division, Environmental Department, CIEMAT, Spain.
Atmospheric Pollution Division, Environmental Department, CIEMAT, Spain.
Sci Total Environ. 2019 Feb 1;649:1362-1380. doi: 10.1016/j.scitotenv.2018.08.315. Epub 2018 Aug 25.
A methodology based on CFD-RANS simulations (WA CFD-RANS, Weighted Averaged Computational Fluid Dynamic-Reynolds-Averaged Navier-Stokes simulations) which includes appropriate modifications, has been applied to compute the annual, seasonal, and hourly average concentration of NO and NO throughout the city of Pamplona (Spain) at pedestrian level during 2016. The results have been evaluated using measurements provided both by the city's network of air quality monitoring stations and by a network of mobile microsensors carried around by cyclists during their daily commutes, obtaining a maximum relative error lower than 30% when computing NO annual average concentrations. The model has taken into account the actual city layout in three dimensions, as well as the traffic emissions. The resulting air pollution maps provided information critical for studying the traffic-related health effects of NO and their associated external costs in the city of Pamplona and the spatial representativeness of the current network of air quality monitoring stations (it has not been carried out for an entire city to date). The developed methodology can be applied to similar cities, providing useful information for the decision-makers.
一种基于 CFD-RANS 模拟(WA CFD-RANS,加权平均计算流体动力学-雷诺平均纳维斯托克斯模拟)的方法,包括适当的修改,已经应用于计算 2016 年潘普洛纳市(西班牙)行人高度的 NO 和 NO 年度、季节性和每小时平均浓度。使用城市空气质量监测站网络和骑自行车者日常通勤时携带的移动微传感器网络提供的测量结果评估了结果,在计算 NO 年平均浓度时,最大相对误差低于 30%。该模型考虑了三维的实际城市布局以及交通排放。生成的空气污染图提供了关键信息,用于研究潘普洛纳市与 NO 相关的交通健康影响及其相关的外部成本,以及当前空气质量监测站网络的空间代表性(迄今为止尚未对整个城市进行)。开发的方法可以应用于类似的城市,为决策者提供有用的信息。