INTELLIGENT SUPPORT FOR THE MONITORING SYSTEM OF EMERGENCY IMPACT OF TRANSPORT POLLUTANTS ON THE URBAN POPULATION

The article, against the background of the expansion of the nomenclature and modernization of instrumental control of automobile air pollutants, carried out within the framework of the unprecedented tightening of emission standards in the countries of the European Union Euro 7, substantiates the development and implementation in Saint-Petersburg of intelligent digital systems for online monitoring of atmospheric air quality and model forecasting of local excess concentrations of NO2 in residential buildings adjacent to urban highways. Forecasts are made according to original mathematical models using information on the structure, intensity of traffic flows and emission factors of harmful (polluting) substances for five accounting groups of cars: passenger cars, minibuses and vans, commercial trucks, heavy trucks and buses. The monitoring system is implemented at the regional level.

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Publication Details

Journal
Problems of risk management in the technosphere
Published
2024-12-27
DOI
https://doi.org/10.61260/1998-8990-2025-2024-4-31-39
Primary Topic
Vehicle emissions and performance
Type
article
Field-Weighted Citation Impact
0.00
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article

INTELLIGENT SUPPORT FOR THE MONITORING SYSTEM OF EMERGENCY IMPACT OF TRANSPORT POLLUTANTS ON THE URBAN POPULATION

Vladimir Lozhkin, Bogdan Gavkalyuk
Problems of risk management in the technosphere
Vehicle emissions and performance
article

INTELLIGENT SUPPORT FOR THE MONITORING SYSTEM OF EMERGENCY IMPACT OF TRANSPORT POLLUTANTS ON THE URBAN POPULATION

Vladimir Lozhkin, Bogdan Gavkalyuk
article en

Abstract

The article, against the background of the expansion of the nomenclature and modernization of instrumental control of automobile air pollutants, carried out within the framework of the unprecedented tightening of emission standards in the countries of the European Union Euro 7, substantiates the development and implementation in Saint-Petersburg of intelligent digital systems for online monitoring of atmospheric air quality and model forecasting of local excess concentrations of NO2 in residential buildings adjacent to urban highways. Forecasts are made according to original mathematical models using information on the structure, intensity of traffic flows and emission factors of harmful (polluting) substances for five accounting groups of cars: passenger cars, minibuses and vans, commercial trucks, heavy trucks and buses. The monitoring system is implemented at the regional level.

Problems of risk management in the technosphereVol. 2024(4)
Academy of the State Fire Service EMERCOM of Russia (RU)
Openalex Percentile: Top 71%
Vehicle emissions and performance
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