Page 71 - Studia Universitatis Hereditati, vol 12(2) (2024)
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               Figure 4: Map Showing the Bell’s Location (white dot) and Two Receiver Points (red dots)—R1 in Front of the Bell  Unveiling the Historical Significance of Santa Maria D’àneu
               Gable and R2 Approximately 70 m Down the Road.
               down  the  road  from  the  bell.  For  each  acous-  es. The SPreAD-GIS script also incorporates
               tic measurement, the bell was rung three times   the effects of atmospheric  conditions,  vegeta-
               to ensure a reliable and consistent record of the   tion, wind, and terrain. These factors collective-
               sound level.                                ly contribute to sound level attenuation, as de-
                                                           tailed in tab. 1. The script aligns with ISO 9613-2
               Virtual Sound Propagation Simulations       standards for outdoor sound attenuation (Keyel
               The second part of our research involved simu-  et al. 2017). It tracks the propagation of various
               lating bell sound propagation in the surround-  frequencies, allowing us to determine the domi-
               ing landscape using GIS. We used the ESRI   nant pitch in different areas. Moreover, the map
               ArcGIS Desktop 10.5 software and the Sound   design was carried out using the software QGIS
               Mapping Tools (SMT) toolbox, specifically the   Desktop 3.38.0.
               SPreAD-GIS script, developed by Reed and col-   For the simulation, we defined the study area
               leagues (Reed, Boggs, and Mann 2012). This   and overlaid a digital elevation model (DEM) as
               script simulates sound propagation in natural   a cartographic base obtained from the website of
               environments, adapted from the SPreAD - Sys-  the Centro Nacional de Información Geográfica
               tem for the Prediction of Acoustic Detectabili-  (n.d.). We used the National Land Cover Data
               ty (Harrison, Clark, and Stankey 1980). Ideally,   (NLCD) provided by the European Space Agen-
               sound propagates spherically, diminishing as the   cy (n.d.) for vegetation cover data. The land cov-
               square of the distance from the source increas-  er data were reclassified into seven categories:
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