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Modeling of Potential Power Plant Plume Impacts on Dallas-Fort Worth Visibility

机译:达拉斯-沃斯堡能见度对电厂羽流的潜在影响建模

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During wintertime, haze episodes occur in the Dallas-Ft. Worth (DFW) urban area. Such episodes are characterized by substantial light scattering by particles and relatively low absorption, leading to so-called "white haze." The objective of this work was to assess whether reductions in the emissions of SO_2 from a specific coal-fired power plant located over 100 km from DFW could lead to a discernible change in the DFW white haze. To that end, the transport, dispersion, deposition, and chemistry of the plume of a major power plant were simulated using a reactive plume model (ROME). The realism of the simulations was tested by comparing model calculations of plume concentrations with aircraft data. For plume impact assessment, three actual scenarios were simulated: Two with clear-sky conditions, and one with the presence of fog prior to the haze. The largest amount of sulfate formation was obtained for the fog episode. Therefore, a hypothetical scenario was constructed using the meteorological conditions of the fog episode with input data values adjusted to be more conductive to sulfate formation. The results of the simulations suggest that reductions in the power plant emission lead to less-than-proportional reductions in sulfate concentrations in DFW for the fog scenario. A maximum reduction in light extinction of 13 percent was calculated for a 44 percent reduction in the power plant SO_2 emissions.
机译:在冬季,达拉斯-英尺(Dallas-Ft)发生薄雾天气。值得(DFW)市区。这样的事件的特征在于颗粒的大量光散射和相对低的吸收,导致所谓的“白雾”。这项工作的目的是评估距DFW超过100公里的特定燃煤电厂的SO_2排放量的减少是否会导致DFW白雾的明显变化。为此,使用反应羽模型(ROME)模拟了大型发电厂的羽流的运输,分散,沉积和化学性质。通过将羽流浓度的模型计算与飞机数据进行比较,测试了模拟的真实性。对于羽流影响评估,模拟了三种实际情况:两种具有晴朗的天空条件,一种具有在霾之前存在雾的条件。对于雾事件,获得最大量的硫酸盐形成。因此,使用雾事件的气象条件构造了一个假设情景,并调整了输入数据值以使其更易于形成硫酸盐。模拟结果表明,在有雾的情况下,发电厂排放量的减少导致DFW中硫酸盐浓度的减少小于比例。计算出的消光最大减少量为13%,这使发电厂的SO_2排放量减少了44%。

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