Sensitivity analysis and prediction of diesel particulate matter emissions in Indian underground metalliferous mines using regression and machine learning algorithms

Author:

Ray Kaustuv,Gupta Tushar,Sarkar Falguni

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference44 articles.

1. The mining industry after the boom;Humphreys;Miner. Econ.,2019

2. H.W. Wu, A.D.S. Gillies, Developments in real time personal diesel particulate monitoring in mines, in: Proceedings, 12th US Mine Ventilation Symposium(pp. 629-636), 2008.

3. Numerical study of diesel particulate matter distribution in an underground mine isolated zone;Xu;Powder Technol.,2018

4. U. EPA, Health Assessment Document for Diesel Engine Exhaust (Final 2002).US Environmental Protection Agency OoRaD, National Center for Environmental Assessment, editor. Washington Office, Washington, DC: EPA, 2002.

5. Trends in Exposure to Diesel Particulate Matter and Prevalence of Respiratory Symptoms in Western Australian Miners;Rumchev;Int. J. Environ. Res. Public Health,2020

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