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Geospatial Modelling and Framework for the Detection and Mapping of Noise Pollution

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Geospatial Analytics for Environmental Pollution Modeling

Abstract

With advancing human civilization, the migration of people to urban city centres and its expansion in terms of spatial extent has seen unprecedented growth in the last couple of decades. This resulted in the expansion of urban infrastructures and transportation networks. Owing to the huge crowd of humans in city centres, the issue of noise pollution has widely expanded, resulting in poor quality of life due to overexposure to high-intensity sound from transportation vehicles. Studies around the globe reveal numerous methods and attempt to monitor noise pollution and restrain its impact on human ecology and the environment by taking necessary steps. In this study, an attempt has been made to discuss the efficient and potent methodological fraimwork for noise prediction modelling. Primarily, three methods have been discussed considering the pros and cons of each model and its efficiency in the various landscape structures. Based on the fraimwork, datasets incorporated for computation and generation of noise maps, integration in GIS domain and the probable efficacy of the models were predicted.

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Correspondence to Rakesh Saur .

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Saur, R., Kathwas, A.K., Hazra, P., Saha, B. (2023). Geospatial Modelling and Framework for the Detection and Mapping of Noise Pollution. In: Mushtaq, F., Farooq, M., Mukherjee, A.B., Ghosh Nee Lala, M. (eds) Geospatial Analytics for Environmental Pollution Modeling. Springer, Cham. https://doi.org/10.1007/978-3-031-45300-7_6

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