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首页> 外文期刊>Surveys in Geophysics: An International Review Journal of Geophysics and Planetary Sciences >An on line atmospheric dispersion model (OLADMO) for the World Wide Web
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An on line atmospheric dispersion model (OLADMO) for the World Wide Web

机译：万维网的在线大气弥散模型（OLADMO）

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This paper presents an overview of earlier and current methods of modelling atmospheric dispersion, and proposes and evaluates a screening model for operation over the World Wide Web. The On Line Atmospheric Dispersion Model (OLADMO) is a quasi boundary layer parameterised Gaussian plume model with additional algorithms to account for plume rise, building wake effects and deposition processes. The Monin-Obukhov length boundary layer parameter is utilised to define six stability classes in order to determine atmospheric turbulence and stability, whilst new equations, derived from an intercomparison study of old and next generation dispersion models, are used to calculate the horizontal and vertical dispersion coefficients sigma(y) and sigma(z). Using data from two field experiments in Copenhagen, Denmark and Lillestrom, Norway, the model results from OLADMO are found to compare favourably with the results from several old and next generation dispersion models. As a consequence of the unique nature of the meteorological and location factors of the Lillestrom experiment, all models struggled to represent the concentrations observed during the field study adequately. However, OLADMO was the best performing model in this case, with a mean normalised crosswind integrated concentration 13% closer to the mean observed concentration than its nearest competitor. Because the evaluation of the model was conducted with a limited dataset, several limitations and improvements to both the model and experimental procedure are suggested.
机译：本文概述了大气散布模型的早期和当前方法，并提出并评估了用于在万维网上运行的筛选模型。在线大气弥散模型（OLADMO）是一种准边界层参数化的高斯羽流模型，具有其他算法来解释羽流上升，建筑物尾流效应和沉积过程。 Monin-Obukhov长度边界层参数用于定义六个稳定性类别，以确定大气湍流和稳定性，而对旧的和下一代色散模型进行比较研究得出的新方程式则用于计算水平和垂直色散系数sigma（y）和sigma（z）。使用来自丹麦哥本哈根和挪威利勒斯特罗姆的两个现场实验的数据，发现OLADMO的模型结果可与几种旧的和下一代色散模型的结果进行比较。由于Lillestrom实验的气象和位置因素的独特性质，所有模型都难以充分代表在实地研究中观察到的浓度。但是，在这种情况下，OLADMO是性能最好的模型，平均归一化侧风积分浓度比最接近的竞争对手更接近平均观察浓度13％。由于使用有限的数据集进行模型评估，因此建议对模型和实验程序进行一些限制和改进。

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