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A comparison of Japanese and European road traffic noise propagation models under different urban morphologies of Japanese and German sites

机译:日本和德国地区不同城市形态下日本和欧洲道路交通噪声传播模型的比较

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Different urban morphologies are seen in different parts of the world. Such difference affects noise propagation and thus drives each country to develop its own noise propagation model. Comparison of the prediction results of such models and elucidation of the contributing factors to the difference will help to understand the ideas behind each model and share the knowledge on noise propagation. In the present study, Japanese ASJ RTN-Model 2013 and the European Harmonoise engineering model (which we chose over the current CNOSSOS-EU model as an initial attempt) are applied to road traffic noise scenes in Japanese and German urban sites and contributing factors to the final results are compared. The sites are located in Niigata, Japan and Berlin, Germany. The types, the numbers and the speed of vehicles running source roads are identified by analyzing on-site video recordings. Geometry of the urban terrain of Niigata is reconstructed from a combination of a publicly available building outline dataset and a commercially available digital surface model. In Berlin, a publicly available three-dimensional dataset is used. The source power levels obtained by the ASJ model are approximately 20 dB higher than those by the Harmonoise model because of the application of non-steady traffic flow section. The pattern of excess attenuation is similar for the Japanese sites in spite of the application of fundamentally different methods between the models. For the German sites, the diffraction attenuation obtained by the ASJ model is notably higher. The final equivalent continuous A-weighted sound levels are overestimation for the ASJ model due to the higher source power level.
机译:在世界不同地区看到不同的城市形态。这种差异影响噪声传播,从而驱动每个国家来开发其自己的噪声传播模型。这些模型预测结果的比较并阐明贡献因素对差异有助于了解每个模型背后的想法,并分享关于噪声传播的知识。在本研究中,日本ASJ RTN模型2013年和欧洲谐波工程模型(我们选择当前的CNOSSOS-欧盟模型作为初步尝试)应用于日本和德国城市地点的道路交通噪声场景以及促成因素比较最终结果。该地点位于日本和德国柏林的Niigata。通过分析现场视频录制来识别车辆的类型,数字和运行源道路的速度。从公开的构建大纲数据集和市售数字表面模型的组合重建了Niigata的城市地形的几何形状。在柏林,使用公开的三维数据集。由于应用非稳定的交通流部分,ASJ模型获得的源功率电平大约高于谐波模型的20dB。尽管模型之间的基本不同的方法在基本上应用了这些基本的情况,但多余的衰减模式类似于日本地点。对于德国网站,ASJ模型获得的衍射衰减显着高。由于源功率电平较高,最终等效的连续A - 加权声级是ASJ模型的高估。

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