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首页> 外文会议>Tenth International Conference on Modelling, Monitoring and Management of Air Pollution Jul, 2002 City of Segovia >A comparison of Lagrangian dispersion models coupled to a meteorological model for high stack air pollution forecast
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A comparison of Lagrangian dispersion models coupled to a meteorological model for high stack air pollution forecast

机译：拉格朗日色散模型与气象模型的比较，用于高烟囱空气污染预测

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摘要

Since 1994, operational air pollution forecast is routinely applied at the As Pontes coal-fired power plant, with a 350-m stack, in order to prevent local fumigation episodes. Over the last ten years, several improvements in the numerical models were done, to obtain more accurate air pollution forecasts on a daily basis. In this work, a comparison of the results obtained for different periods, using two different lagrangian dispersion models, Adaptive Puff Model 2 (APM2) and Lagrangian Particle Model (LPM), is presented. Both models, in different ways, were coupled to the same non-hydrostatic meteorological prediction model, Advanced Regional Prediction System (ARPS) adapted to this environment. From the results obtained, it can be seen that both models can reproduce the location of the main plume impacts measured in the area. However, LPM impacts are usually farther and shorter in time than APM2 impacts, in agreement with field data.
机译：自1994年以来，为防止局部熏蒸事故，在As Pontes燃煤电厂以350 m烟囱为例行地进行空气污染预报。在过去的十年中，对数值模型进行了一些改进，以获取每天更准确的空气污染预测。在这项工作中，使用两个不同的拉格朗日色散模型（自适应吹气模型2（APM2）和拉格朗日粒子模型（LPM）），比较了不同时期获得的结果。两种模型都以不同的方式与适应于这种环境的相同的非静水气象预报模型，即高级区域预报系统（ARPS）耦合。从获得的结果可以看出，两个模型都可以再现在该区域中测得的主要羽流冲击的位置。但是，与现场数据一致，LPM的影响时间通常比APM2的影响更远和更短。

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