Comparative assessment of noise models for Kota city

Abstract

In metropolitan cities, about two-thirds of the total noise pollution is caused by traffic noise. The traffic noise is a predominant source of noise pollution as compared to other sources in urban areas. Kota is a highly urbanized city of Rajasthan. It is prominent for its educational institutes and industries. Majority of the peoples are engaged with above mention fields. People are using more and more vehicles because of the rapid development of the city, which increases the noise level in the city. This pollution creates many health problems.In this experimental study, sixteen crucial locations across the city were chosen to evaluate traffic noise in Kota city. The data from the observations compared to prescribed noise levels guidelines of CPCB. The paper concludes that all the crucial and busiest areas of Kota cities are affected by high noise levels. Noise prediction models used to determine traffic noise are very useful in the design/construction of roads and sometimes in the analysis of existing, or envisaged changes in, traffic noise conditions. The purpose of this study was to select an optimum noise prediction modal for different road traffic models which are available in the literature. Frequently used methods like Calixto et al. Model, Burgess model, Josse model, and Fagotti-Poggi model are compared here to find out an optimum noise prediction model for the city. The coefficient of correlation among predicted and observed values for traffic noise levels are compared, and it has been observed that in the current scenario, the best model for prediction of noise levels for sampling locations is Fagotti–Poggi model.