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Vehicle-induced turbulence and atmospheric pollution

机译:车辆诱导的湍流和大气污染

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Theoretical models of the Earth's atmosphere adhere to an underlying concept of flow driven by radiative transfer and the nature of the surface over which the flow is taking place: heat from the sun and/or anthropogenic sources are the sole sources of energy driving atmospheric constituent transport. However, another source of energy is prevalent in the human environment at the very local scale – the transfer of kinetic energy from moving vehicles to the atmosphere. We show that this source of energy, due to being co-located with combustion emissions, can influence their vertical distribution to the extent of having a significant influence on lower-troposphere pollutant concentrations throughout North America. The effect of vehicle-induced turbulence on freshly emitted chemicals remains notable even when taking into account more complex urban radiative transfer-driven turbulence theories at high resolution. We have designed a parameterization to account for the at-source vertical transport of freshly emitted pollutants from mobile emissions resulting from vehicle-induced turbulence, in analogy to sub-grid-scale parameterizations for plume rise emissions from large stacks. This parameterization allows vehicle-induced turbulence to be represented at the scales inherent in 3D chemical transport models, allowing this process to be represented over larger regions than is currently feasible with large eddy simulation models. Including this sub-grid-scale parameterization for the vertical transport of emitted pollutants due to vehicle-induced turbulence in a 3D chemical transport model of the atmosphere reduces pre-existing North American nitrogen dioxide biases by a factor of 8 and improves most model performance scores for nitrogen dioxide, particulate matter, and ozone (for example, reductions in root mean square errors of 20?%, 9?%, and 0.5?%, respectively).
机译:地球大气层的理论模型坚持通过辐射转移驱动的流动潜在的流动概念和所发生流动的表面的性质:来自太阳和/或人为来源的热量是能量驾驶大气成分运输的唯一来源。然而,在本地规模的人类环境中,另一个能量来源在人类环境中普遍 - 从移动车辆到大气中的动能转移动能。我们表明,由于与燃烧排放共同定位,这一能源来源可以影响其垂直分布,以对整个北美较低层污染物浓度产生重大影响的程度。即使考虑到高分辨率更复杂的城市辐射转移驱动的湍流理论,载体诱导的湍流对新发射化学品的影响仍然是显着的。我们设计了参数化,以考虑来自车辆引起的湍流导致的移动排放的新发射污染物的源垂直传输,类似于来自大堆栈的流量上升排放的子网格级参数化。该参数化允许在3D化学传输模型中固有的尺度表示的车辆引起的湍流,允许该过程在较大的区域上表示,而不是目前与大型涡流模拟模型的可行性。包括该子网格级参数化,用于垂直传输的污染物由于车辆诱导的湍流,在大气的3D化学传输模型中,将预先存在的北美氮二氧化氮偏差减少了8倍,提高了大多数模型性能评分对于二氧化氮,颗粒物质和臭氧(例如,分别减少20μm,9μm,9μm和0.5Ω%)。

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