The noise awareness is growing worldwide, especially in the developed countries. Many regulations have been issued in the last years, to select the acoustic indicators, to propose noise control procedures and to give guidelines on measurements and mitigation actions. On the other side, the citizen science is a breakthrough in several scientific and technical disciplines. In Acoustics, the involvement of citizens is particularly important, because of the possible soundscape implications and since human activities are the main sources in urban areas. A very useful tool to push the noise awareness in people is the ”Noise Capture” app, developed in France by CNRS and IFSTTAR, that allows any user to record the sound pressure levels with a smartphone and to upload the measurement, with its GPS location data, on a continuously updated map. In this paper a spatial mapping of the sound levels recorded by citizens is studied. In particular, the case study of the campus of Fisciano, in the University of Salerno, is analyzed. The spatial interpolation based on kernel density estimation, in a GIS framework implementation, will be presented, discussing the results and the possible development of this kind of approach.
Crowdsourcing Noise Maps Interpolation by Means of Kernel Density Estimation
Claudio Guarnaccia
;Michele Grimaldi;Gabriella Graziuso;Simona Mancini;Joseph Quartieri
2020-01-01
Abstract
The noise awareness is growing worldwide, especially in the developed countries. Many regulations have been issued in the last years, to select the acoustic indicators, to propose noise control procedures and to give guidelines on measurements and mitigation actions. On the other side, the citizen science is a breakthrough in several scientific and technical disciplines. In Acoustics, the involvement of citizens is particularly important, because of the possible soundscape implications and since human activities are the main sources in urban areas. A very useful tool to push the noise awareness in people is the ”Noise Capture” app, developed in France by CNRS and IFSTTAR, that allows any user to record the sound pressure levels with a smartphone and to upload the measurement, with its GPS location data, on a continuously updated map. In this paper a spatial mapping of the sound levels recorded by citizens is studied. In particular, the case study of the campus of Fisciano, in the University of Salerno, is analyzed. The spatial interpolation based on kernel density estimation, in a GIS framework implementation, will be presented, discussing the results and the possible development of this kind of approach.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
