Zuo Jinbo, Xia Hao, Liu Shuo, Qiao Yanyou
The Institute of Remote Sensing and Digital Earth, No. 20 Datun Road, Chaoyang District, Beijing 100101, China.
Sensors (Basel). 2016 Oct 13;16(10):1692. doi: 10.3390/s16101692.
Noise mapping is an effective method of visualizing and accessing noise pollution. In this paper, a noise-mapping method based on smartphones to effectively and easily measure environmental noise is proposed. By using this method, a noise map of an entire area can be created using limited measurement data. To achieve the measurement with certain precision, a set of methods was designed to calibrate the smartphones. Measuring noise with mobile phones is different from the traditional static observations. The users may be moving at any time. Therefore, a method of attaching an additional microphone with a windscreen is proposed to reduce the wind effect. However, covering an entire area is impossible. Therefore, an interpolation method is needed to achieve full coverage of the area. To reduce the influence of spatial heterogeneity and improve the precision of noise mapping, a region-based noise-mapping method is proposed in this paper, which is based on the distribution of noise in different region types tagged by volunteers, to interpolate and combine them to create a noise map. To validate the effect of the method, a comparison of the interpolation results was made to analyse our method and the ordinary Kriging method. The result shows that our method is more accurate in reflecting the local distribution of noise and has better interpolation precision. We believe that the proposed noise-mapping method is a feasible and low-cost noise-mapping solution.
噪声映射是一种可视化和评估噪声污染的有效方法。本文提出了一种基于智能手机的噪声映射方法，用于有效且便捷地测量环境噪声。通过使用该方法，可以利用有限的测量数据创建整个区域的噪声地图。为了实现具有一定精度的测量，设计了一套校准智能手机的方法。使用手机测量噪声不同于传统的静态观测。用户可能随时移动。因此，提出了一种附加带有防风罩麦克风的方法来减少风的影响。然而，覆盖整个区域是不可能的。因此，需要一种插值方法来实现对该区域的全面覆盖。为了减少空间异质性的影响并提高噪声映射的精度，本文提出了一种基于区域的噪声映射方法，该方法基于志愿者标记的不同区域类型中的噪声分布，对其进行插值和合并以创建噪声地图。为了验证该方法的效果，对插值结果进行了比较，以分析我们的方法和普通克里金法。结果表明，我们的方法在反映噪声的局部分布方面更准确，具有更好的插值精度。我们认为所提出的噪声映射方法是一种可行且低成本的噪声映射解决方案。
