Abstract

This study is aimed at bringing out the salient aspects of urban noise and its study and control aspects, at different location of a metropolitans town. Field measurements at different points of times a day have also been recorded at a number of high-traffic-intensity locations on main roads of towns. The data obtained are analyzed using SPSS package for calculation through ANOVA technique and the findings of these studies have been recorded. The variation of SPL considering the time of the day has been studied and illustrated through graphical plots. It shows that the peak early morning max sound pressure levels observed over the recommended limiting value. In some places, the low frequency noise predominates in the early morning hours, noise levels are significant among and within the 15 groups. The variation of sound pressure (Maximum, Minimum and L equivalent readings) levels as shown in the graphical plots, the Maximum and L equivalent levels exceeded the recommended noise level. Important conclusions of this work have been drawn subsequently.

Highlights

  • Noise is generally considered to be unwanted sound and sound can be considered unwanted due to reasons of volume, type of noise, the time of day, or any factor making sound unpleasant or annoying [1]

  • Using the SPSS software, ANOVA techniques is used to find the variation of sound pressure level (SPL) among the all location as well as the single location variation of whole location, and variation of one location

  • The SPL or Leq is higher in the morning period and lesser in mid-day and night time

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Summary

Introduction

Noise is generally considered to be unwanted sound and sound can be considered unwanted due to reasons of volume, type of noise, the time of day, or any factor making sound unpleasant or annoying [1]. As this is often subjective, noise pollution can be controversial. Noise pollution impacts upon health and wellbeing by causing disturbances that create poor quality environments. Noise pollution in residential environments can cause physical and mental health deterioration [2] [3]. In the workplace and educational environments, these symptoms can accompany reduced productivity and quality of work.

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