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Estimating long-term representative SPL in complex environments using a coupling method based on acoustic (MW-WAPE) and micrometeorological (SUBMESO) numerical predictions

机译:使用基于声学(MW-WAPE)和微度(UPLESO)数值预测的耦合方法估算复杂环境中的长期代表性SPL

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This paper presents a method for estimating an acoustic level representative of the "long-term" sound pressure level. This is done through a coupling method using output data from a micrometeorological code as input data for a new acoustic code. The first part of this paper provides a short description of our acoustic (MW-WAPE) and micrometeorological (SUBMESO) codes respectively, next coupled through a suited routine. Our new PE code can deal with complex propagation situations including mixed influence of ground characteristics (topography, obstacles, impedance jumps, etc.) and atmospheric conditions (refraction and turbulence). Its associated micrometeorological code (SUBMESO) simulates wind and temperature fields over moderately complex terrain with high resolution. The second part is devoted to some comparisons between numerical predictions and experimental data issued from the LCPC experimental (monitoring) site located at Saint-Berthevin (F). Very good agreement with experimental data is obtained for both acoustical and micrometeorological predictions.
机译:本文提出了一种估计代表“长期”声压水平的声学水平的方法。这是通过耦合方法来完成的,该方法使用来自微晶代码的输出数据作为新声学代码的输入数据。本文的第一部分分别为我们的声学(MW-WAPE)和微观气象(IMBESEO)码的简要描述,接下来通过适合的常规耦合。我们的新PE代码可以处理复杂的传播情况,包括地面特征(地形,障碍,阻抗等)和大气条件(折射和湍流)的混合影响。其相关的微观气象代码(亚细胞)模拟了高分辨率高度复杂地形的风和温度场。第二部分致力于从位于Saint-berthevin(F)的LCPC实验(监测)网站发出的数值预测和实验数据之间的一些比较。对于声学和微观定理预测,获得了与实验数据非常好的协议。

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