Strategies and Implications of Noise Pollution Monitoring, Modelling, and Mitigation in Urban Cities

Abstract

The present chapter provides an exhaustive review on the noise monitoring studies, comparison of the prediction models including physical propagation model, and applications of the artificial intelligence techniques, noise mapping, and noise pollution monitoring in mining sector carried out by various researchers. Most of the noise pollution studies deal with the assessment of traffic noise and some were focused exclusively on noise monitoring for the residential, educational, industrial, and commercial sites noise. The study reveals that early models were based on mathematical prediction models, later machine learning and deep learning methods were generally used for prediction and forecasting of noise levels. A retrospective view on noise mapping and control is presented in the chapter. Also, the noise pollution control and abatement measures are highlighted that shall be indispensable for reducing the ambient noise levels in metropolitan cities of the country.