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PREDICTION OF DUST CONCENTRATION BASED ON THE BOLTZMANN AND MULTIVARIATE LINEAR MODEL

ABSTRACT
In order to reduce the dust concentration in the port and ensure that the dust concentration meets the requirements of environmental protection, a combination of Boltzmann model and multiple linear regression model is proposed to predict the continuous changes in dust concentration during the loading and unloading process of imported and exported ores in the port. The quantitative relationship between port dust concentration and falling mass of mineral powder, wind speed, and moisture content of mineral powder is simulated using the Boltzmann model and the multivariate linear regression model. This quantitative relationship is an effective means of describing the change in dust concentration and reducing the port dust concentration. Moreover, the findings have the potential to enhance the quality of life for those residing in the vicinity of the port.
KEYWORDS
PAPER SUBMITTED: 2024-05-21
PAPER REVISED: 2024-07-12
PAPER ACCEPTED: 2024-07-12
PUBLISHED ONLINE: 2025-07-06
DOI REFERENCE: https://doi.org/10.2298/TSCI2503951Z
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2025, VOLUME 29, ISSUE Issue 3, PAGES [1951 - 1959]
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2025 Society of Thermal Engineers of Serbia. Published by the VinĨa Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence