Abstract
The soundscape study of an eastern Indian coastal city (Puri) has been investigated. Acoustic data were collected at 36 sampling locations during two time intervals in and around Puri. A number of noise indices, namely, Lmin, Lmax, and Leq, were calculated to demonstrate the noise level of this city. Noise maps are generated using ARC-GIS to investigate the impact of road traffic noise on the soundscape of the city. The response of the public was appraised by a questionnaire. Due to variable traffic features, the equivalent noise level (Leq) as well as peak (L10) and background noise (L90) levels varied with location and time of the day. It was found that socio-demographic characteristics have no bearing on the amount of annoyance. However, a link was observed between age, hearing condition, and noise perception, as well as between gender and impacts of noise.
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All authors contributed to the study’s conception and design. Material preparation, data collection, and analysis were performed by Bijay Kumar Swain, Shreerup Goswami, and Chidananda Prasad Das. The first draft of the manuscript was written by Bijay Kumar Swain, and all authors commented on previous versions of the manuscript. All authors have read and approved the final manuscript.
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Swain, .K., Goswami, S., Das, C.P. et al. Soundscape of an eastern coastal city of India. Environ Sci Pollut Res 30, 107259–107280 (2023). https://doi.org/10.1007/s11356-023-28670-y
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DOI: https://doi.org/10.1007/s11356-023-28670-y