Identification of places with deteriorated air quality in city of Žilina in relation to road transport

Abstract

The aim of the research is to identify places with deteriorated air quality in the selected city. After an analytical analysis of the data, it is possible to propose steps that can be used to actively contribute to the reduction of air pollution, especially due to road traffic. Places where deteriorated air quality was identified were identified on the basis of practical measurements. Given that the measurement route was designed in a built-up area of the city with a large number of pedestrians, the research was primarily focused on the identification of particulate matters (PM) and the concentration of carbon monoxide CO. The measurements were performed repeatedly on a pre-defined route. The measurements were carried out repeatedly during the morning rush hour when traffic was congested on the roads. Based on the processing and evaluation of the measurements, the sections where increased values of individual emissions were recorded were determined. In this way, it is possible to precisely identify places where air quality deteriorates. The research conclusions provide support for planning the optimization of air quality management policies towards the creation of sustainable cities. The research results present the possibilities of identifying problematic sections from the point of view of emissions production. Critical places with regard to the production of emissions can be connected to places where a permanently increased movement of vehicles is observed.

Comprehensive review of life cycle assessment methodologies for passenger vehicles

“…Considering emissions at the point of use, many studies have emphasized that electric vehicles (EVs, HEVs, PHEVs) seem to be a better option for urban driving (Karabasoglu & Michalek, 2017;Van Mierlo et al, 2017;Szumska, 2021;Zheng & Peng, 2021;Šarkan et al, 2023). The results presented in the paper (Noshadravan et al, 2015) point out that during the use stage, factors such as charging location, average distance traveled in urban mode, average daily mileage and driving aggressiveness can have a significant impact on the environmental footprint of both electric and conventional vehicles.…”

Strategic Model for Yellow Hydrogen Production Using the Metalog Family of Probability Distributions

“…As a result, this will prevent transporting hydrogen on longer routes, which is quite troublesome. Vehicles powered by hydrogen fuel cells are zero-emission at the point of use [110]. Moreover, they have all the advantages of battery-powered electric cars.…”