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Participatory noise mapping works! An evaluation of participatory sensing as an alternative to standard techniques for environmental monitoring

机译:参与式噪声映射有效!参与感测评估作为环境监测标准技术的替代方法

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摘要

Participatory sensing enables a person-centric collection of environmental measurement data with, in principle, high granularity in space and time. In this paper we provide concrete proof that participatory techniques, when implemented properly, can achieve the same accuracy as standard noise mapping techniques. We do this through a citizen science experiment for noise mapping a 1 km2 area in the city of Antwerp using NoiseTube, a participatory sensing framework for monitoring ambient noise. At the technical side, we set up measuring equipment in accordance with official norms insofar as they apply, also carrying out extensive calibration experiments. At the citizen side, we collaborated with up to 13 volunteers from a citizen-led Antwerp-based action group. From the data gathered we construct purely measurement-based noise maps of the target area with error margins comparable to those of official simulation-based noise maps. We also report on a survey evaluating NoiseTube, as a system for participative grassroots noise mapping campaigns, from the user perspective.
机译:参与式感测可以以人为中心收集原则上具有高时空粒度的环境测量数据。在本文中,我们提供了具体的证据,证明参与式技术在正确实施后可以达到与标准噪声映射技术相同的准确性。我们通过一项公民科学实验来做到这一点,该实验使用NoiseTube(用于监视环境噪声的参与性感应框架)对安特卫普市1 km2区域的噪声进行绘制。在技​​术方面,我们根据适用的官方规范设置了测量设备,并进行了广泛的校准实验。在公民方面,我们与一个由公民领导的以安特卫普为基础的行动小组的13名志愿者进行了合作。根据收集的数据,我们构建目标区域的纯基于测量的噪声图,其误差容限可与基于官方模拟的噪声图相媲美。我们还从用户的角度报告了一项评估NoiseTube的调查,NoiseTube是一种参与式基层噪声测绘活动的系统。

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