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Wyświetlanie 1-4 z 4
Tytuł:
Analysis and assessment of air quality in the city of Bialystok in 2012-2017
Autorzy:
Skoczko, I.
Szatyłowicz, E.
Powiązania:
https://bibliotekanauki.pl/articles/96263.pdf
Data publikacji:
2018
Wydawca:
Fundacja Ekonomistów Środowiska i Zasobów Naturalnych
Tematy:
air quality
air monitoring
NOx
PM2,5
PM10
jakość powietrza
monitorowanie powietrza
PM2.5
Opis:
The aim of the research was to assess the state of air pollution with mentioned pollution for the area of the city of Bialystok. The analysis was carried out using data from 2 air monitoring stations. The stations are owned by the Provincial Inspectorate for Environmental Protection in Bialystok. The work also compared the air quality in Bialystok with the air quality in the main voivodship cities with a similar population: Olsztyn, Lublin, Bydgoszcz and two of the largest urban agglomerations in the country: Warsaw and Wroclaw. It was found that the quality of air in the city of Bialystok compared to the analyzed cities is the best. In addition, it was observed that increased concentrations of PM10 and PM2.5 suspended dust occur in Bialystok in the months of X-III, due to the low emission from combustion of fuels.
Źródło:
Ekonomia i Środowisko; 2018, 2; 142-153
0867-8898
Pojawia się w:
Ekonomia i Środowisko
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Development of Emission to Air in Central Europe
Autorzy:
Pokrývková, Jozefína
Jurík, Ľuboš
Powiązania:
https://bibliotekanauki.pl/articles/123163.pdf
Data publikacji:
2019
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
air quality
emission NOx
PM10
PM2,5
air imission
pollution modelling
Opis:
The present state of air quality is determined according to emission and imission situation of basic pollutants. According to the obtained information about the state of air quality, the development of imission and emission presently exhibits a decreasing tendency caused especially by industrial production innovations in European countries, with slight rises in renewable energy sources for electricity production, but especially the effort to improve the condition relates to the use of mandatory quotas and pollution charges in the European Union. The aim of the this article is to review the emission development in the year 1998 up to 2013 for Central European countries – Slovakia, Czech Republic and Poland and their comparison to the European average value of the released emission. The NOx and particulate matter PM10, PM2,5 were evaluated as pollutants, which over the last few years have contaminated the air and in particular the main environment.
Źródło:
Journal of Ecological Engineering; 2019, 20, 2; 51-57
2299-8993
Pojawia się w:
Journal of Ecological Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fusing multiple open-source remote sensing data to estimate $\text{PM}_\text{2.5}$ and $\text{PM}_\text{10}$ monthly concentrations in Croatia
Autorzy:
Mamić, Luka
Kaplan, Gordana
Gašparović, Mateo
Powiązania:
https://bibliotekanauki.pl/articles/2191359.pdf
Data publikacji:
2022
Wydawca:
Stowarzyszenie SILGIS
Tematy:
air quality
TROPOMI
machine learning
PM2.5
PM10
remote sensing
jakość powietrza
uczenie maszynowe
teledetekcja
Opis:
The objective of this study is to create a methodology for accurately estimating atmospheric concentrations of PM2.5 and PM10 using Sentinel-5P and other open-source remote sensing data from the Google Earth Engine (GEE) platform on a monthly basis for June, July and August which are considered as months of non-heating season in Croatia, and December, January and February, which, on the other hand, are considered as months of the heating season. Furthermore, machine learning algorithms were employed in this study to build models that can accurately identify air quality. The proposed method uses open-source remote sensing data accessible on the GEE platform, with in-situ data from Croatian National Network for Continuous Air Quality Monitoring as ground truth data. A common thing for all developed monthly models is that the predicted values slightly underestimate the actual ones and appear slightly lower. However, all models have shown the general ability to estimate PM2.5 and PM10 levels, even in areas without high pollution. All developed models show moderate to high correlation between in-situ and estimated PM2.5 and PM10 values, with overall better results for PM2.5 than for PM10 concentrations. Regarding PM2.5 models, the model with the highest correlation (r = 0.78) is for January. The PM10 model with the highest correlation (r = 0.79) is for December. All things considered, developed models can effectively detect all PM2.5 and PM10 hotspots.
Źródło:
GIS Odyssey Journal; 2022, 2, 2; 59--77
2720-2682
Pojawia się w:
GIS Odyssey Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Analysis of Air Monitoring System in Megacity on the Example of St. Petersburg
Autorzy:
Dzhevaga, Natalia
Borisova, Darya
Powiązania:
https://bibliotekanauki.pl/articles/1839623.pdf
Data publikacji:
2021
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
monitoring
air quality
environmental safety
dust
PM2.5
PM10
volatile organic compound
carbon oxide
nitrogen dioxide
Opis:
The paper considers the current problem of improving the quality of atmospheric monitoring. The paper aimed at conducting a monitoring section of the existing situation in the studied territories in St. Petersburg. The following study methods were described: gravimetric, electrochemical, and chromatographic. The analysis of samples was carried out on the following laboratory facilities of the mobile environmental laboratory: PU-3E aspirator, ECOLAB portable gas analyser, DUSTTRAK 8533 dust analyser, portable gas chromatograph FGKh-1, professional weather station. The study consisted of two parts and was carried out in two districts of the city: Novosmolenskaya Embankment of the Smolenka River (Vasileostrovsky District) and the banks of the Volkovka River (Frunzensky District). As a result of the study, the concentrations of nitrogen dioxide, carbon oxide, suspended solids and volatile organic compounds in the air of the studied districts were measured. The obtained values were compared with the maximal single limiting concentration (LMCm.s.) and assumptions were made about the possible sources of pollution. In the territory of Novosmolenskaya Embankment, the concentration of nitrogen dioxide varied from 0.211 mg/m3 to 0.472 mg/m3, which means the exceedance of LMCm.s. The maximum permissible concentration of the volatile organic compounds (VOC) content in air was exceeded by several orders of magnitude. No exceedance of LMCm.s. was detected for the content of carbon oxide and suspended solids in the air. The empirical data was used to build the air pollution content maps and to calculate the atmospheric pollution index in the studied territory.
Źródło:
Journal of Ecological Engineering; 2021, 22, 4; 175-185
2299-8993
Pojawia się w:
Journal of Ecological Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-4 z 4

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