SoundOfTheCity - Continuous noise monitoring for a healthy city

Lukas Ruge, Bashar Altakrouri, Andreas Schrader
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引用次数: 52

Abstract

Noise pollution is among the leading causes for illness among urban residents. It constitutes a major cause for stress and poor sleep, it reduces life quality while increasing the risk for hypertension, hearing loss and lower cognitive performance. In light of those risks, the European Union mandates the creation of noise contour maps to gather information about the exposure. Those maps however often lack enough granularity to cover all areas of the city and omit large areas from the map. Hence, the public benefit from the provided information remains limited. We present SoundOfTheCity, a project with which we endeavour to put noise measurement into the hand of the citizen. To that end we developed a smart phone application that allows the users to continuously measure the loudness of their environment. The measured data are anonymised and send to a central server where all generated information from voluntary participants on a city scale are aggregated and mapped to a meaningful noise visualisation map. Moreover, the application allows for uploading sound samples, captured from the environment, as well as providing each user with information on their personal exposure to noise. Extrapolating from the current state of such participatory ambient pollution monitoring for health, we propose several questions on the future of such applications. We discuss how such systems may utilize more then just information on the distribution of pollutants, to make health monitoring more relatable to the monitored community.
SoundOfTheCity -为健康城市提供持续的噪音监测
噪音污染是城市居民患病的主要原因之一。它是造成压力和睡眠质量差的主要原因,它降低了生活质量,同时增加了患高血压、听力丧失和认知能力下降的风险。鉴于这些风险,欧盟要求绘制噪音等高线地图,以收集有关暴露的信息。然而,这些地图往往缺乏足够的粒度来覆盖城市的所有区域,并从地图上遗漏了大片区域。因此,公众从所提供的信息中获益仍然有限。我们提出了SoundOfTheCity,这是一个我们努力将噪音测量交到市民手中的项目。为此,我们开发了一个智能手机应用程序,允许用户持续测量环境的响度。测量的数据是匿名的,并发送到一个中央服务器,在那里,所有由城市规模的自愿参与者生成的信息被汇总并映射到一个有意义的噪声可视化地图。此外,该应用程序允许上传从环境中捕获的声音样本,并为每个用户提供他们个人接触噪音的信息。从这种参与式环境污染健康监测的现状推断,我们对这种应用的未来提出了几个问题。我们讨论了这样的系统如何利用污染物分布的更多信息,使健康监测与被监测社区更相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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