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Incorporation of Numerical Plume Rise Algorithms in the Lagrangian Particle Model LAPMOD and Validation against the Indianapolis and Kincaid Datasets

机译:拉格朗日粒子模型LAPMOD中的数值羽流上升算法的合并以及对Indianapolis和Kincaid数据集的验证

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This paper describes the methodology used to incorporate two numerical plume rise algorithms, one by Janicke and Janicke and another by Webster and Thomson, into the Lagrangian particle model LAPMOD. LAPMOD is fully interfaced with the diagnostic meteorological model CALMET, which is part of the widely used CALPUFF modeling system. LAPMOD can also use the meteorological input files produced with the AERMET meteorological processor of the US-EPA recommended model AERMOD. This paper outlines the theory behind the two plume rise algorithms and the details of their implementation in LAPMOD. The paper also provides the results of the evaluation of LAPMOD and its included plume rise algorithms against the well-known Indianapolis and Kincaid SF 6 and SO 2 field studies and tracer experiments. The performance of LAPMOD is successfully evaluated with the Model Evaluation Kit and compared with that of other air quality models.
机译:本文介绍了用于将两种数值羽状上升算法(一种是Janicke和Janicke,另一种是Webster和Thomson)结合到拉格朗日粒子模型LAPMOD中的方法。 LAPMOD与诊断气象模型CALMET完全接口,该模型是广泛使用的CALPUFF建模系统的一部分。 LAPMOD还可以使用US-EPA推荐型号AERMOD的AERMET气象处理器生成的气象输入文件。本文概述了两种羽状上升算法背后的理论以及它们在LAPMOD中的实现细节。本文还提供了针对著名的印第安纳波利斯和Kincaid SF 6和SO 2野外研究以及示踪剂实验的LAPMOD及其包括羽状上升算法的评估结果。使用模型评估套件成功评估了LAPMOD的性能,并与其他空气质量模型进行了比较。

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