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Microscale anthropogenic pollution modelling in a small tropical island during weak trade winds: Lagrangian particle dispersion simulations using real nested LES meteorological fields

机译:弱风中热带小岛上的微观人为污染模型:使用真实嵌套LES气象场的拉格朗日粒子扩散模拟

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摘要

Tropical islands are characterized by thermal and orographical forcings which may generate microscale air mass circulations. The Lesser Antilles Arc includes small tropical islands (width lower than 50 km) where a total of one-and-a-half million people live. Air quality over this region is affected by anthropogenic and volcanic emissions, or saharan dust. To reduce risks for the population health, the atmospheric dispersion of emitted pollutants must be predicted. In this study, the dispersion of anthropogenic nitrogen oxides (NOx) is numerically modelled over the densely populated area of the Guadeloupe archipelago under weak trade winds, during a typical case of severe pollution. The main goal is to analyze how microscale resolutions affect air pollution in a small tropical island. Three resolutions of domain grid are selected: 1 km, 333 m and 111 m. The Weather Research and Forecasting model (WRF) is used to produce real nested microscale meteorological fields. Then the weather outputs initialize the Lagrangian Particle Dispersion Model (FLEXPART). The forward simulations of a power plant plume showed good ability to reproduce nocturnal peaks recorded by an urban air quality station. The increase in resolution resulted in an improvement of model sensitivity. The nesting to subkilometer grids helped to reduce an overestimation bias mainly because the LES domains better simulate the turbulent motions governing nocturnal flows. For peaks observed at two air quality stations, the backward sensitivity outputs identified realistic sources of NO, in the area. The increase in resolution produced a sharper inverse plume with a more accurate source area. This study showed the first application of the FLEXPART-WRF model to microscale resolutions. Overall, the coupling model WRF-LES-FLEXPART is useful to simulate the pollutant dispersion during a real case of calm wind regime over a complex terrain area. The forward and backward simulation results showed clearly that the subkilometer resolution of 333 m is necessary to reproduce realistic air pollution patterns in this case of short-range transport over a complex terrain area. Globally, this work contributes to enrich the sparsely documented domain of real nested microscale air pollution modelling. This study dealing with the determination of the proper resolution grid and proper turbulence scheme, is of significant interest to the near-source and complex terrain air quality research community. (C) 2016 The Authors. Published by Elsevier Ltd.
机译:热带岛屿的特征是热力和地形强迫,它们可能产生微小的空气质量环流。小安的列斯群岛包括热带小岛(宽度小于50公里),那里共有一百五十万人居住。该地区的空气质量受到人为和火山排放或撒哈拉尘埃的影响。为了减少人口健康的风险,必须预测排放污染物在大气中的扩散。在这项研究中,在典型的严重污染案例中,在弱风的作用下,在瓜德罗普群岛的人口稠密地区,对人为氮氧化物(NOx)的扩散进行了数值模拟。主要目标是分析微观分辨率如何影响一个热带小岛中的空气污染。选择域网格的三种分辨率:1 km,333 m和111 m。天气研究和预报模型(WRF)用于产生真正的嵌套微尺度气象场。然后,天气输出将初始化拉格朗日粒子色散模型(FLEXPART)。电厂羽流的正向模拟显示出良好的能力,可以再现城市空气质量站记录的夜间峰值。分辨率的提高导致模型灵敏度的提高。嵌套到亚千米网格有助于减少高估偏差,主要是因为LES域更好地模拟了控制夜间流动的湍流运动。对于在两个空气质量站观测到的峰值,向后灵敏度输出确定了该区域的实际NO来源。分辨率的提高产生了更锐利的逆羽,并且源区域更准确。这项研究表明FLEXPART-WRF模型在微尺度分辨率上的首次应用。总体而言,WRF-LES-FLEXPART耦合模型可用于模拟复杂地形区域上风平浪静的实际情况下的污染物扩散。向前和向后的模拟结果清楚地表明,在复杂地形区域进行短距离运输的情况下,要重现现实的空气污染模式,必须达到333 m的亚公里分辨率。在全球范围内,这项工作有助于丰富实际嵌套的微型空气污染模型的稀疏文档领域。这项有关确定合适的分辨率网格和合适的湍流方案的研究对于近源和复杂地形的空气质量研究界具有重大意义。 (C)2016作者。由Elsevier Ltd.发布

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