Abstract

Industry and industrial complexes are often located in the proximity of people’s homes. One of the negative effects of industry is noise emissions into the surrounding environment. With the increasing concentration of the human population and the increase in industrial production, more and more people are exposed to the negative effects of noise. This article discusses a comprehensive approach to reducing noise emissions from industrial operations, and the subsequent impacts on surrounding villages and human health. The first step of the whole process is to understand the current state of the acoustic situation in industrial operation and in the nearby villages, an important part of which is the identification and localization of dominant noise sources. For this purpose, a unique noise visualization tool was used, namely, an acoustic camera. The next important step is to propose a technical solution and measures to reduce the noise of the individual source. Consequently, it is necessary to create a mathematical model, i.e., noise maps, in order to verify whether the proposed measures will be sufficient. Once the proposed measures have been implemented, verification of the effectiveness of these measures needs to be carried out through repeated noise measurements in nearby villages and also on the site of the industrial installation. The above procedure was applied to the operation of a wastewater treatment plant that was causing noise exceeding the permissible levels in the surrounding villages. The application of this approach, the implementation of the proposed measures, and the subsequent verification confirmed a significant reduction in the noise levels in the affected villages, and the measures implemented were assessed as highly effective.

Highlights

  • The environment and its protection together are one of the most important tasks of our society

  • The height of the isophone and calculation points was chosen as 3 m because of the hilly terrain, in aid of better knowledge of the acoustic situation and the spread of noise at the location in question, and because a large number of the houses have windows at this height

  • Measurements were out to plant, determine the noise level were of thelater stationary into mathematical model toplant, determine the noise level of the stationary on thethe site of the wastewater treatment the surroundings results of which were later used assources input cluding knowledge ofmodel the acoustic situation and the site of the wastewater treatment into thesite mathematical of the surroundings of the treatment plant, inon the of the wastewater treatment plant, the results of which were later used as input plant

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Summary

Introduction

The environment and its protection together are one of the most important tasks of our society. One of the tasks of noise mapping is to investigate noise exposure in living areas and knowledge of noise situation in the surroundings of noise sources, in connection with the development of residential and industrial areas, as well as transport axes in many urban areas These types of maps are useful for the determination of the minimal sound insulation of individual buildings necessary for acoustic comfort conditions [22]. They described the forms of applications of noise mapping for industrial sources, and pointed to its potential in the design phase of existing installations for noise reduction plans They created a general methodology for the noise mapping of industrial plants, consisting of input data collection, data processing and adjusting, modeling by software to compute noise emissions and propagation, and, at the end, the noise map production [27]

Determination of Sound Pressure Levels
Sound Visualization
Noise Mapping
Description of the Problem
Knowledge the Current
Measurement of on the Site treatment of the Wastewater
The measurement are shown inout
Measurement No 1—Air Distribution Pipes
Spectrogram—measurement
11. Noise emissions emissions of of the the visualized object in the
Measurement
Acoustic Pipe Insulation
Transmission
Creating a Mathematical
Verification of the Effectiveness of the Measures Implemented
10. Conclusions
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