This study provides an assessment of the impact of asphalt mixture composition on the particulate matter (PM) emission from the pavement surface into the atmosphere. Pavement surface abrasion was also analyzed and potential differences among asphalt mixtures were determined by the chemical composition of captured PM. Various types of asphalt mixtures and the influence of their compositions on PM concentrations and chemical composition were studied and compared. The laboratory test setup included 12 different pavement samples. On average, the asphalt mixtures with a combination of melaphyre and dolomite as aggregates exhibited the highest values of PM. Measurements of PM 2.5 and PM 1 in the wheel tracking machine were used to study the impact of asphalt mixture properties on pavement surface abrasion. The dependence between the aggregate used in the tested mixtures and the abraded particulates has been confirmed. The Ca content in aggregates was strongly correlated with the abraded particulates, which was not observed for the Si content. The multidimensional statistical methods used showed the division of markers of the asphalt mixture ABOUT THE AUTHORThe authors work at the University of Zilina (UNIZA), Slovakia. Their research interests are focused on air pollution from road transport, road design and environmental impact assessment, holistic approach to sustainable construction and management of roads, especially their pavements, development of innovative climate-adaptive materials and pavement constructions. The authors collaborated on the international project "Air Tritia -Uniform Approach to the Air Pollution Management System for Functional Urban Areas in Tritia Region", and other. During the project was created an air quality system "AQMS" for functional urban areas of the TRITIA region -Poland, the Czech Republic and Slovakia, and a strategy of sustainable transport of territorial units. The research reported in this paper represents an important area of the particulate matter air pollution, which is a part of the authors´ research on the air pollution sources identification.
Pollution of the air by gases and particulate matter is a problem of everyday life. Particulate matter (PM) is one of the hazardous pollutants causing deterioration of the environment and thus quality of life of the population. Long-term exposure to effects of increased concentrations of gaseous pollutants can also cause deterioration of the environment and human health. Particulate matter and gases production by the road transport is a burning issue, particularly for larger urban areas. Many factors influence the air quality what determines its development and changes. Air pollution monitoring was focused on a possible change in the concentrations of pollutants after the change of the crossroad - three-arm crossroad to the roundabout. The subject of this paper is monitoring particulate matter (PM1, PM2.5, PM10) and gases (nitrogen oxides NO, NO2, NOx) in the vicinity of crossroads in the urban area and an evaluation of fraction ratios PM10, PM2.5 and PM1 with regard to construction of crossroad, meteorological conditions and traffic volume. The roundabout has specific construction and routing traffic, what can influence on production and dispersion of traffic related emissions. The obtained results indicate a decrease in particulate matter concentrations at the roundabout over a three-arm crossroad and an increase in nitrogen oxides concentrations at the roundabout compared to the three-arm crossroad. According to the data obtained and analyzed, the PM10 particulate matter concentrations at the roundabout could be reduced by up to 50% over the three-arm crossroad.
The paper focuses on the issue of the use of three-dimensional mobile mapping system and the following processing of obtained data. The first part is devoted to the description of the three-dimensional mobile mapping technology using LiDAR, specifically to the mobile three-dimensional scanner - Lynx SG1 from Teledyne OPTECH. It describes into more details the process of works from the field data collection to their so called "postprocessing" as well as a variety of output options and interpretations of results obtained in the measurements. Advantages of the system together with its limits of use are summarized in the conclusion of the research paper.
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