MATEC Web Conf.
Volume 294, 20192nd International Scientific and Practical Conference “Energy-Optimal Technologies, Logistic and Safety on Transport” (EOT-2019)
|Number of page(s)||6|
|Section||Ecology of Rolling Stock and Objects of Transport Infrastructure|
|Published online||16 October 2019|
Modeling of the atmosphere pollution from coal trains
DNURT, Department hydraulics and water supply, 49010 Dnipro, Lazaryan Street, 2, Ukraine
2 DNU, Assistant professor of aerohydromechanics and energy and masstransfer, 49050 Dnipro, Kozakov Street, 18, Ukraine
3 GeoLab Drilling, Scientific researcher, 30680 Winder, Bill Rutledge Road, 800, USA
4 DNURT, Lviv branch, 79052 Lviv, I. Blazhkevich Street, 12a, Ukraine
* Corresponding author: email@example.com
Coal trains have an intensive impact on environment pollution. It is very important to predict adequately this impact during coal transportation. In Ukraine to predict atmosphere pollution from coal trains the regulatory model «OND-86» is used. This model does not take into account some important factors and coal train movement. We present numerical models to solve two problems:1) prediction of atmosphere pollution in the case of moving coal train; 2) prediction of atmosphere pollution in the case of additional special boards installation on the coal wagon. To solve these problems equation of coal duct convective-diffusive dispersion (Lagrange model of admixture dispersion) and equation of potential flow were used. Governing equations were numerically integrated using implicit difference schemes. For coding difference equations we used FORTRAN language. We present results of numerical experiments and laboratory experiments which illustrate the efficiency of the special additional boards installation on the coal wagon. These boards have «internal wing» and «external wing». The obtained results illustrate that installation of additional boards allows to minimize the atmosphere pollution near transport corridor.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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