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Mapping the Sound Environment of Andorra and Escaldes-Engordany by Means of a 3D City Model Platform

机译:通过3D城市模型平台映射Antorra和Escaldes-Engordany的声音环境

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In the new paradigm of the smart cities world, public opinion is one of the most important issues in the new conception of urban space and its corresponding regulations. The data collection in terms of environmental noise cannot only be related to the value of the equivalent noise level L A e q of the places of interest. According to WHO reports, the different types of noise (traffic, anthropomorphic, industrial, and others) have different effects on citizens; the focus of this study is to use the identification of noise sources and their single impacts on background urban noise to develop a visualization tool that can represent all this information in real time. This work used a 3D model platform to visualize the acoustic measurements recorded at three strategic positions over the country by means of a sound map. This was a pilot project in terms of noise source identification. The visualization method presented in this work supports the understanding of the data collected and helps the space-time interpretation of the events. In the study of soundscape, it is essential not only to have the information of the events that have occurred, but also to have the relations established between them and their location. The platform visualizes the measured noise and differentiates four types of noise, the equivalent acoustic level measured and the salience of the event with respect to background noise by means of the calculation of SNR (Signal-to-Noise), providing better data both in terms of quantity and quality and allowing policy-makers to make better-informed decisions on how to minimize the impact of environmental noise on people.
机译:在智慧城市世界的新范式中,舆论是城市空间新概念及其相应法规中最重要的问题之一。在环境噪声方面的数据收集不仅与感兴趣位置的等效噪声水平L A E Q的值相关。根据谁报道,不同类型的噪音(交通,拟人,工业和其他人)对公民产生了不同的影响;本研究的重点是使用噪声来源的识别及其对背景城市噪声的单一影响,开发可实时代表所有这些信息的可视化工具。这项工作使用了3D模型平台,以通过声音图显示在国家的三个战略位置记录的声学测量。这是噪声源识别方面的试点项目。在本工作中呈现的可视化方法支持对收集的数据的理解,并有助于对事件的时空解释。在Soundscape的研究中,不仅必须拥有所发生的事件的信息,而且还必须具有它们之间建立的关系及其位置。该平台可视化测量的噪声并区分四种类型的噪声,通过计算SNR(信令对噪声)来测量的四种类型的声学水平和事件的显着性,从而提供更好的数据数量和质量,允许政策制定者对如何最大限度地减少环境噪声对人民影响的更精细的决定。

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