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Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior

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Evaluation of practical framework for industrial noise mapping: A case study.

Satish K Lokhande¹, Rakesh Gautam¹, Satyajeet A Dhawale¹

¹Analytical Instruments Division, CSIR - National Environmental Engineering Research Institute, Nagpur, Maharashtra, India.

|August 22, 2020

Summary

This study created industrial noise maps for a forging plant and its surroundings. Treating the entire plant as an area source provided more accurate noise predictions than considering individual point sources.

Keywords:

Area source industrial noise mapping noise pollution point source strategic noise mapping

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Area of Science:

Environmental acoustics
Industrial noise pollution
Urban planning

Background:

Strategic noise mapping often overlooks smaller industrial sites.
Limited research exists on industrial noise mapping, especially in India.
Understanding noise impact from industries is crucial for public health.

Purpose of the Study:

To develop a noise map for a specific forging plant.
To analyze noise distribution patterns within a 2 km radius.
To compare two distinct noise mapping methodologies for industrial settings.

Main Methods:

Noise mapping of a forging plant using two scenarios: point sources vs. area source.
Analysis of noise distribution within a 2 km surrounding area.
Generation of regression graphs to compare predicted and measured noise values.

Main Results:

Scenario 1 (point sources) yielded a coefficient of determination of 0.4689.
Scenario 2 (area source) resulted in a coefficient of determination of 0.6382.
The area source model demonstrated higher precision in noise prediction.

Conclusions:

Industrial noise mapping requires tailored approaches for smaller facilities.
Modeling an industrial plant as an area source offers superior accuracy for noise prediction.
This research provides a valuable framework for industrial noise assessment in similar contexts.