A comparative analysis of air pollutant concentrations and inflow trajectories: a case study of selected cities in South-Eastern Poland

Oleniacz, Robert; Gorzelnik, Tomasz; Szulecka, Adriana

doi:10.1051/e3sconf/20184500060

Cited by 7 publications

(4 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…On this basis, it can be concluded that this type of stations differs most from the others in terms of NO 2 concentration, which, among the pollutants analyzed in the study, seems to be the most typical pollution for road transport. No significant differences between the winter and summer months or the transition period for NO 2 concentrations in the air at traffic stations is confirmed by the results obtained in previous studies [22,61,75]. Strong seasonal variations of the air concentrations observed for the rest of analyzed substances can be explained, on the one hand, by higher emissions (municipal and household sector), and on the other hand, it results from weaker ventilation and a lower mixing-layer height, which was already demonstrated for previous years, e.g., in the works [58,60,64].…”

Section: Discussionsupporting

confidence: 86%

“…Poor air quality in Krakow, often observed during the heating season, is usually associated with unfavorable synoptic-scale (anti-cyclonic circulation), low temperature, low mixing-layer height and low wind speed, which hinders the dispersion of pollutants in the air [58,60,61,64,65], and in the case of fine solid particles with increased formation of secondary inorganic (SIA) or organic (SOA) aerosols [62,[68][69][70][71] and a large inflow background of dust pollution from adjacent areas [22,24,65,67]. Despite a significant reduction of SIA precursor emissions from large combustion plants (SO 2 and NO x ) and residential heating (SO 2 ), the contribution of SIA formation in fine particulate matter is now much greater [68][69][70] than it has been reported for several years ago [72,73]; this indicates an increase in the role of NO x (derived from combustion processes, including to a large extent from the combustion of engine fuels) in the formation of SIA, and thus their greater impact on the levels of fine particulate matter in the air [91,92,97].…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Assessment of the Variability of Air Pollutant Concentrations at Industrial, Traffic and Urban Background Stations in Krakow (Poland) Using Statistical Methods

Oleniacz

Gorzelnik

2021

Sustainability

Self Cite

View full text Add to dashboard Cite

In cities with an extensive air quality monitoring (AQM) system, the results of pollutant concentration measurements obtained in this system can be used not only for current assessments of air pollution, but also for analyzes aimed at better identification of factors influencing the air quality and for tracking trends in changes taking place in this regard. This can be achieved with the use of statistical methods that allow for the assessment of the variability of measurement data observed at stations of various types and for the determination of possible interdependencies between these data. In this article, an analysis of this type was carried out for traffic, urban background and industrial AQM stations in Krakow (Southern Poland) operating in the years 2017–2018 with the use of, i.a., cluster analyzes, as well as dependent samples t-test and Wilcoxon signed-rank test, taking into account the concentrations of air pollutants such as fine particulate matter (PM10), nitrogen dioxide (NO2), benzene (C6H6) and sulfur dioxide (SO2). On the basis of the conducted analyzes, similarities and differences were shown between the data observed at individual types of stations, and the possibilities of using them to identify the causes of the observed changes and the effects of remedial actions to improve air quality undertaken recently and planned in the future were indicated. It was found that the air concentrations of some substances measured at these stations can be used to assess the emission abatement effects in road transport (NO2, PM10 or C6H6), residential heating (PM10 or SO2), and selective industrial plants (SO2, NO2 or C6H6).

show abstract

Section: Discussionsupporting

confidence: 86%

Section: Discussionmentioning

confidence: 99%

Assessment of the Variability of Air Pollutant Concentrations at Industrial, Traffic and Urban Background Stations in Krakow (Poland) Using Statistical Methods

Oleniacz

Gorzelnik

2021

Sustainability

Self Cite

View full text Add to dashboard Cite

show abstract

“…There has not been much discussion of the importance of numerous garbage burnings as a local or global cause of air pollution [36]. Due to the intense heat present during a fire, the smoke that is released is usually immediately elevated and spreads much above ground level [37]. Sulphur dioxide (SO 2 ) and nitrogen dioxide (NO 2 ) from waste burning cause acid rain.…”

Section: Air Pollutionmentioning

confidence: 99%

A Comprehensive Study of the Impact of Waste Fires on the Environment and Health

Jakhar,

Samek,

Styszko

2023

Sustainability

View full text Add to dashboard Cite

The escalating crisis of environmental degradation, with waste fires acting as a potent accelerant, has reached a critical juncture that demands immediate attention. This crisis disproportionately affects developing and low-income nations, where unregulated disposal and incineration in open areas have become rampant. These open waste fires serve as hotbeds for many environmental hazards ranging from air and water pollution to soil degradation. In addition, they contribute to the growing threat of marine litter and are a significant source of greenhouse gas emissions, exacerbating global climate change. Beyond their environmental toll, waste fires present an immediate and long-term threat to human health, causing respiratory problems and skin conditions and potentially leading to more serious health outcomes, such as cancer. Their impacts are multidimensional, affecting not only the environment but also pose severe health risks to communities, especially those near waste-burning sites. In this technologically advanced era, the application of artificial intelligence (AI), Machine Learning (ML), and deep learning technologies has the potential to revolutionize waste fire management. These technologies can significantly improve the accuracy of identifying, monitoring, and ultimately mitigating waste fires, making them indispensable tools in the fight against this complex issue. This article offers a comprehensive and in-depth examination of the historical evolution of waste fires, with the aim of shedding light on the critical factors that contribute to their occurrence. We explore the scientific mechanisms by which waste fires lead to environmental pollution and public health crises, providing a holistic understanding of their far-reaching impacts. We present an overview of significant research initiatives, policy interventions, and technological solutions that have been proposed or implemented by authoritative bodies around the world. By synthesizing existing research and offering new insights, this paper aims to facilitate a deeper understanding of the intricacies of waste fires and spur innovative solutions for their sustainable management and eventual eradication. Therefore, this article focuses on environmental and human health problems while outlining the comprehensive approach and potential contributions to solving this critical issue.

show abstract

“…For example, the nearest state meteorological station belonging to the Institute of Meteorology and Water Management (IMGW) was located approximately 10-18 km from the individual canyons, on the outskirts of the city, near Krakow Airport (Figure 1). However, data from this station were not used in this study due to the fact that it was located in an open area and was characterized by much higher average wind speeds and a different wind rose compared to the station located at AGH University [80]. Total solar radiation included in the OSPM model in modeling the course of photochemical reactions involving nitrogen oxides was captured from the ERA5 meteorological reanalysis provided by the European Center for Medium-Range Weather Forecasts (ECMWF) [81].…”

Section: Meteorological Data and Background Of Air Pollutantsmentioning

confidence: 99%

Air Quality Improvement in Urban Street Canyons: An Assessment of the Effects of Selected Traffic Management Strategies Using OSPM Model

et al. 2023

Self Cite

View full text Add to dashboard Cite

Constantly changing vehicle stock, modification of road infrastructure, and other conditions result in a need to update the knowledge on the effectiveness of individual traffic management strategies, which could form the basis for actions taken by local authorities to improve air quality in crowded city centers, especially in street canyons. The article presents research results that evaluate the theoretical effects of introducing select traffic reorganization scenarios in the example of four street canyons located in Krakow (Poland) that are different in terms of vehicle traffic volume and canyon geometry. These scenarios were based on a reduction in the average traffic speed, road capacity or the admission of cars meeting certain exhaust emission standards. The authors estimated changes in emissions of nitrogen oxides (NO, NO2 and total NOx) and particulate matter (PM10 and PM2.5) as well as investigated the effect of these changes on air quality in the canyons using the Operational Street Pollution Model (OSPM). Significant effects in terms of improving air quality were identified only in scenarios based on a significant reduction in traffic volume and the elimination of passenger cars and light commercial vehicles with internal combustion engines that did not meet the requirements of the Euro 4, Euro 5 or Euro 6 emission standards. For these scenarios, depending on the variant and canyon analyzed, the emission reduction was achieved at a level of approximately 36–66% for NO, 28–77% for NO2, 35–67% for NOx and 44–78% for both PM10 and PM2.5. The expected effect of improving air quality in individual street canyons for these substances was 15–44%, 5–14%, 11–36% and 3–14%, respectively. The differences obtained in the percentage reduction of emissions and pollutant concentrations in the air were the result of a relatively high background of pollutants that suppress the achieved effect of improving air quality to a large extent.

show abstract

A comparative analysis of air pollutant concentrations and inflow trajectories: a case study of selected cities in South-Eastern Poland

Cited by 7 publications

References 12 publications

Assessment of the Variability of Air Pollutant Concentrations at Industrial, Traffic and Urban Background Stations in Krakow (Poland) Using Statistical Methods

Assessment of the Variability of Air Pollutant Concentrations at Industrial, Traffic and Urban Background Stations in Krakow (Poland) Using Statistical Methods

A Comprehensive Study of the Impact of Waste Fires on the Environment and Health

Air Quality Improvement in Urban Street Canyons: An Assessment of the Effects of Selected Traffic Management Strategies Using OSPM Model

Contact Info

Product

Resources

About