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Kriging-based spatial interpolation from measurements for sound level mapping in urban areas

机译:基于Kriging的空间插值,从城市地区进行声级测绘的测量

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Network-based sound monitoring systems are deployed in various cities over the world and mobile applications allowing participatory sensing are now common. Nevertheless, the sparseness of the collected measurements, either in space or in time, complicates the production of sound maps. This paper describes the results of a measurement campaign that has been conducted in order to test different spatial interpolation strategies for producing sound maps. Mobile measurements have been performed while walking multiple times in every street of the XIIIth district of Paris. By adaptively constructing a noise map on the basis of these measurements, the role of the density of observations and the performance of four different interpolation strategies is investigated. Ordinary and universal Kriging methods are assessed, as well as the effect of using an alternative definition of the distance between observation locations, which takes the topology of the road network into account. The results show that a high density of observation points is necessary to obtain an interpolated sound map close to the reference map. (C) 2018 Acoustical Society of America.
机译:基于网络的声音监控系统部署在世界各个城市,世界各个城市,移动应用程序现在是常见的。尽管如此,收集的测量的稀疏性在空间或时间时,会使声音图的生产复杂化。本文介绍了已经进行的测量活动的结果,以便测试用于生产声音图的不同空间插值策略。在巴黎Xiiith地区的每条街道上多次走路时已经进行了移动测量。通过在这些测量的基础上自适应地构建噪声图,研究了观察密度和四种不同插值策略的性能的作用。评估普通和通用的Kriging方法,以及使用观察位置之间的距离的替代定义的效果,这将道路网络的拓扑考虑在内。结果表明,在接近参考图谱地图的内插声映射是必要的高密度的观察点。 (c)2018年声学学会。

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