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4.7 An Application of Lagrangian Particle Model with Chemical Reactions to Power Plant Pollution Dispersion in Complex

机译:4.7拉格朗日粒子模型与化学反应对复合物发电厂污染分散的应用

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A modeling system based on the regional atmospheric model RAMS (Pielke et al., 1992) and the Lagrangian particle model SPRAY (Tinarelli et al., 2000) is adopted to forecast the concentration of pollutants around the CERCS power plant, situated in a complex terrain area of Spain. To calculate also the NO_2 concentration, we introduced in the Lagrangian dispersion model an hybrid Lagrangian-Eulerian scheme for chemical reactions between nitrogen oxides an ozone including the NO_2 photolysis. This new model was tested in controlled conditions in a previous work (Alessandrini and Ferrero, 2009). It is worth noticing that the small distance of the air quality stations from the power plant stacks gives the possibility to study also the cases where the plume has not still reached the photochemical equilibrium condition. In these situations the photochemical algorithm used shows considerably important advantages compared to more simple approaches generally adopted. The results of the simulations carried out using the modeling system are presented analyzing some particularly interesting episodes. The comparison between the predicted and measured concentrations of all the emitted substances shows the ability of the chemical scheme to account for the short term turbulent dispersion.
机译:基于区域大气模型RAM的建模系统(Pielke等,1992)和拉格朗日粒子模型喷雾(Tinarelli等,2000),预测CERCS发电厂周围的污染物浓度,位于复合物中西班牙地区。为了计算NO_2浓度,我们在拉格朗日分散模型中引入了氮氧化物在氮气之间的化学反应的杂交拉格朗日 - 欧拉·欧拉·欧拉·欧拉·欧拉·欧拉·欧拉·浓度的含量。这一新模型在上一项工作中的受控条件下进行了测试(Alessandrini和Ferrero,2009)。值得注意的是,来自电厂堆栈的空气质量站的小距离也可以研究羽流仍未达到光化学平衡条件的情况。在这些情况下,与普遍采用的更简单的方法相比,所用的光化学算法显示出相当重要的优点。提出了使用建模系统进行的模拟结果分析了一些特别有趣的集。所有发射物质的预测和测量浓度之间的比较显示了化学方案考虑了短期湍流分散体的能力。

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