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@article{198900,
author = {Suyog Pandurang Baviskar and S.T. Ingale},
title = {An evaluation of Noise Pollution in the urban landscape of Solapur city: A GIS-based mapping technique},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {11},
pages = {9806-9812},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=198900},
abstract = {The present study deals with monitoring and mapping of the noise pollution threat in the urban environments of the Solapur city of Maharashtra. Noise pollution is an invisible threat to human health and cause of much ill effect on the surroundings. Proper monitoring and evaluation using the recent technologies helps to identify the level of susceptibility to human population. Measurement were carried out for 100 sampling locations across four types of zones namely, industrial, residential, commercial and silence during day and night time. The urban noise levels were assessed using a sound level meter, capturing both day and night measurements to calculate the equivalent continuous noise (Leq). The Leqmin and Leqmax values were determined for each location. Using GIS software and interpolation techniques, a noise map was generated based on the Leq readings. The analysis revealed that industrial zones had a daytime noise level of 84.88 dB and nighttime level of 47.6 dB, residential zones had a daytime level of 64.86 dB and nighttime level of 46.74 dB. Commercial zones exhibited higher noise levels with daytime levels reaching 91.36 dB and nighttime levels at 78.56 dB. In contrast, silence zones had an average daytime noise level of 67.74 dB and nighttime level of 61.75 dB. The severity of noise pollution ranked as follows: commercial zone > industrial zone > silence zone > residential zone. The study plays a pivotal role in identifying areas with high noise levels and exploring nature-based solutions. Additionally, in landscape planning and urban design, the final output map generated using a GIS platform can serve as a blueprint for reducing noise exposure in future settlements.},
keywords = {Geographical Information System, Noise pollution, Urban landscape, Urban noise},
month = {April},
}
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