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A cost-effective method for simulating city-wide air flow and pollutant dispersion at building resolving scale

机译:一种在建筑物分辨规模上模拟城市范围内的空气流动和污染物扩散的经济有效的方法

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A cost-effective method is presented allowing to simulate the air flow and pollutant dispersion in a whole city over multiple years at the building-resolving scale with hourly time resolution. This combination of high resolution and long time span is critically needed for epidemiological studies and for air pollution control, but still poses a great challenge for current state-of-the-art modelling techniques. The presented method relies on the pre-computation of a discrete set of possible weather situations and corresponding steady-state flow and dispersion patterns. The most suitable situation for any given hour is then selected by matching the simulated wind patterns to meteorological observations in and around the city. The catalogue of pre-computed situations corresponds to different large-scale forcings in terms of wind speed, wind direction and stability. A meteorological model converts these forcings into realistic mesoscale flow patterns accounting for the effects of topography and land-use contrasts in a domain covering the city and its surroundings. These mesoscale patterns serve as boundary conditions for a microscale urban flow model which finally drives a Lagrangian air pollutant dispersion model. The method is demonstrated with the modelling system GRAMM/GRAL v14.8 for two Swiss cities in complex terrain, Zurich and Lausanne. The mesoscale flow patterns in the two regions of interest, dominated by land-lake breezes and driven by the partly steep topography, are well reproduced in the simulations matched to in situ observations. In particular, the combination of wind measurements at different locations around the city appeared to be a robust approach to deduce the stability class for the boundary layer within the city. This information is critical for predicting the temporal variability of pollution concentration within the city, regarding their relationship with the intensity of horizontal and vertical dispersion and of turbulence. In the vicinity of sources, the 5 m resolution chosen in our set-up is not always sufficient to reproduce the very steep concentration gradients, pointing at additional cost optimisations in the method required to make higher resolutions affordable. Nevertheless, the catalogue based methodology allows reproducing concentration variability very consistently further away from emission sources, hence for most parts of the city. (C) 2017 Elsevier Ltd. All rights reserved.
机译:提出了一种具有成本效益的方法,该方法可以按小时解析度,以建筑物解析度模拟整个城市中多年的气流和污染物扩散。流行病学研究和空气污染控制迫切需要高分辨率和长时间跨度的结合,但是对于当前的最新建模技术仍然构成了巨大挑战。提出的方法依赖于一组可能的天气情况以及相应的稳态流量和弥散模式的预计算。然后,通过将模拟风模式与城市及周边地区的气象观测值进行匹配,来选择任何给定时间的最合适情况。预计算情况目录在风速,风向和稳定性方面对应于不同的大规模强迫。气象模型将这些强迫转换为现实的中尺度流动模式,从而说明了覆盖城市及其周围地区的地形和土地利用对比的影响。这些中尺度模式是微观尺度城市流量模型的边界条件,最终推动了拉格朗日空气污染物扩散模型。瑞士的两个复杂地形瑞士城市苏黎世和洛桑的建模系统GRAMM / GRAL v14.8演示了该方法。在与原位观测相匹配的模拟中,很好地再现了两个感兴趣区域中的中尺度流型,其中以陆湖微风为主,部分为陡峭的地形。尤其是,在城市周围不同位置进行的风速测量的组合似乎是一种推断城市边界层稳定性等级的可靠方法。该信息对于预测城市内污染浓度随时间的变化是至关重要的,因为它们与水平和垂直扩散强度以及湍流的关系有关。在光源附近,在我们的设置中选择的5 m分辨率并不总是足以再现非常陡峭的浓度梯度,这表明需要以更高的分辨率实现成本更高的方法的其他成本优化。尽管如此,基于目录的方法仍然可以在远离排放源的地方,非常一致地再现浓度变化,因此适用于城市的大部分地区。 (C)2017 Elsevier Ltd.保留所有权利。

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