Probabilistic statistical modeling of air pollution from vehicles

Saltanat Adikanova, Yerzhan Malgazhdarov, Мадияров Мураткан Набенович, Nurlan Temirbekov

2017

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DOI 10.1063/1.5000671
Data confidence 70 medium
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Abstract

The aim of the work is to create a probabilistic-statistical mathematical model for the distribution of emissions from vehicles. In this article, it is proposed to use the probabilistic and statistical approach for modeling the distribution of harmful impurities in the atmosphere from vehicles using the example of the Ust-Kamenogorsk city. Using a simplified methodology of stochastic modeling, it is possible to construct effective numerical computational algorithms that significantly reduce the amount of computation without losing their accuracy.