Speaker
Description
Assessment of environmental noise emissions from football stadiums is a complex task due to dynamically varying crowd noise and the contribution of high-power sound reinforcement systems. Reliable prediction of stadium-related environmental noise requires source characterization based on real measurement data and properly calibrated calculation models.This study presents a measurement-based environmental noise modelling approach applied to a medium-sized football stadium in Budapest, Hungary, with a capacity of approximately 13,000 spectators. The measurement campaign was conducted during a sold-out Hungarian top-division football match.Continuous synchronized measurements were carried out simultaneously inside and outside the stadium using multiple sound level meters. Several fixed noise monitoring stations were installed in the surrounding area, while additional mobile measurement positions were used to investigate spatial variations in sound propagation. Inside the stadium, six simultaneously operating measurement systems recorded the acoustic contribution of the crowd and the stadium’s public address system throughout the event.The primary objective of the study was to derive representative acoustic emission data suitable for environmental noise modelling purposes. Based on the measured results, sound power levels were estimated for the audience, treated as incoherent surface sources, and for the public address system, represented as discrete point sources. The environmental noise model was subsequently calibrated and validated using measured sound pressure levels at multiple receiver positions.The presented methodology provides a practical framework for realistic stadium noise prediction and environmental impact assessment under real operating conditions.