Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

Wyszukujesz frazę "Samek, L." wg kryterium: Autor


Wyświetlanie 1-5 z 5
Tytuł:
Source apportionment of the PM10 fraction of particulate matter collected in Kraków, Poland
Autorzy:
Samek, L.
Powiązania:
https://bibliotekanauki.pl/articles/146888.pdf
Data publikacji:
2012
Wydawca:
Instytut Chemii i Techniki Jądrowej
Tematy:
air pollution
energy dispersive X-ray fluorescence (EDXRF)
elemental concentration
particulate matter
statistical analyses
PCA - principal component factor analysis
MLRA - multilinear regression analysis
Opis:
Samples of PM10 fraction of air particulates were collected during the winter of 2010 at two different sites in the City of Kraków, Poland. One site was located nearby a steel mill (Nowa Huta district) and the second one was situated at a distance of 10 km from the first site (Krowodrza district). The measured mass concentrations of PM10 fraction were in the range of 33 to 358 μg/m3. They exceeded the permissible daily limit value of 50 μg/m3. The Voivodship Inspectorate for Environmental Protection in Kraków was in charge of collecting samples as well as determining mass concentrations. Assessment of elemental concentrations and statistical analyses were performed at the University of Science and Technology in Kraków. Mean concentrations of Ti, Cu, Br and Pb were almost the same at both sites, while those of K, Ca and Zn were two times higher at Nowa Huta than at Krowodrza. Cr, Mn and Fe mass concentrations were also higher at Nowa Huta site; the values were a factor of three higher for Cr and Mn and factor of four for Fe. Factor analysis (FA) and multilinear regression analysis (MLRA) were used to determine source contributions to ambient PM10. The measurements were based on PM10 composition data which included elemental concentrations. Local combustion, industry and other, not identified sources, such as secondary aerosols, were the factors that highly contributed to the pollution of PM10 during winter time. For the site at Nowa Huta 53.1% of pollution was attributable to combustion and traffic, 28.5% was due to industry and wood combustion, and 18.3% were not identified. For the Krowodrza site, industry and wood combustion contributed 46.1%, combustion and traffic 50.4% and other, not identified sources 3.5% of the total PM10. Examination of meteorological data suggested that the concentration of potassium was inversely proportional to ambient air temperature at both sites. A wood combustion was identified as possible source of potassium in PM10.
Źródło:
Nukleonika; 2012, 57, 4; 601-606
0029-5922
1508-5791
Pojawia się w:
Nukleonika
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Seasonal variation of the elemental composition of particulate matter collected in a small town near Warszawa, Poland
Autorzy:
Samek, L.
Lankosz, M.
Powiązania:
https://bibliotekanauki.pl/articles/147078.pdf
Data publikacji:
2011
Wydawca:
Instytut Chemii i Techniki Jądrowej
Tematy:
air pollution
particulate matter
mass concentrations
elemental concentrations
EDXRF
Opis:
Four seasonal sampling campaigns successively in April, July, September 2008 and February 2009 took place at Świder, a town located to the south-east of Warszawa, Poland. Three particle size fractions of particulate matter were collected by a NILU (The Norwegian Institute for Air Protection, Norway) sampler. The following elements were determined by the energy dispersive X-ray fluorescence (EDXRF) method: K, Ca, Ti, Cr, Mn, Fe, Cu, Zn, Br and Pb. The highest mean mass concentrations in fine and medium fractions were observed in April 2008 and February 2009. For a coarse fraction, the highest values of mass concentrations were observed in April and September 2008. Ca, Mn and Fe existed mainly in the coarse fraction. These elements probably came from the southern direction. Zn was divided between three fractions equally. In February 2009 the highest Zn concentrations were observed in the medium fraction. Pb existed mainly in the fine and medium fractions. The highest values of Pb concentrations were observed in February 2009. Bromium existed in the fine fraction. Correlations were observed between Ca, Mn and Fe concentrations. Correlation factors were about 0.8 for the coarse fraction. For other analyzed elements, the correlation coefficients were small. Basing on the backward trajectories and elemental concentrations of particulate matter (PM), it was confirmed that in winter the main influence on air quality is caused by pollution coming from coal combustion in local houses, heat and power plants working in urban areas. In summer the main influence on air quality is caused by pollution from sources in rural cultivable areas. The improvement of air quality is possible by decreasing the emission, using coal with a small level of harmful compounds and whole elimination of plant preventive agents and using fertilizers with a small content of unwanted elements.
Źródło:
Nukleonika; 2011, 56, 1; 57-64
0029-5922
1508-5791
Pojawia się w:
Nukleonika
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Preliminary PM2.5 and PM10 fractions source apportionment complemented by statistical accuracy determination
Autorzy:
Samek, L.
Stegowski, Z.
Furman, L.
Powiązania:
https://bibliotekanauki.pl/articles/971538.pdf
Data publikacji:
2016
Wydawca:
Instytut Chemii i Techniki Jądrowej
Tematy:
chemical analysis
particulate matter
source identification
Opis:
Samples of PM10 and PM2.5 fractions were collected between the years 2010 and 2013 at the urban area of Krakow, Poland. Numerous types of air pollution sources are present at the site; these include steel and cement industries, traffic, municipal emission sources and biomass burning. Energy dispersive X-ray fluorescence was used to determine the concentrations of the following elements: Cl, K, Ca, Ti, Mn, Fe, Ni, Cu, Zn, Br, Rb, Sr, As and Pb within the collected samples. Defi ning the elements as indicators, airborne particulate matter (APM) source profiles were prepared by applying principal component analysis (PCA), factor analysis (FA) and multiple linear regression (MLR). Four different factors identifying possible air pollution sources for both PM10 and PM2.5 fractions were attributed to municipal emissions, biomass burning, steel industry, traffic, cement and metal industry, Zn and Pb industry and secondary aerosols. The uncertainty associated with each loading was determined by a statistical simulation method that took into account the individual elemental concentrations and their corresponding uncertainties. It will be possible to identify two or more sources of air particulate matter pollution for a single factor in case it is extremely difficult to separate the sources.
Źródło:
Nukleonika; 2016, 61, 1; 75-83
0029-5922
1508-5791
Pojawia się w:
Nukleonika
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Chemical characterization and source identification of particulate matter PM 10 in a rural and urban site in Poland
Autorzy:
Samek, L.
Zwoździak, A.
Sówka, I.
Powiązania:
https://bibliotekanauki.pl/articles/207766.pdf
Data publikacji:
2013
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
rozwój miast
emisja pyłów
analiza regresji
pyły
tereny miejskie
tereny wiejskie
koncentracja pyłów
pyły zawieszone w powietrzu
urban growth
particulate emissions
regression analysis
particulate matter
urban sites
rural sites
Opis:
The measurements of PM 10 at two sites in Poland - a typical village and a big city considered urban background - indicated only a small difference in PM 10 concentrations. In summer time, the concentrations ofPMlO did not exceed the daily limit value of 50 jig/rn3 while in wintertime, the daily limit value was exceeded for almost all sampling days for both sites. Source contributions to ambient PM 10 were determined with factor analysis (FA) and multilinear regression analysis (MLRA) based on PM1O composition data including concentrations of K, Ca, Ti, Cr, Mn, Fe, Cu, Zn, Br, Pb and As. In the winter, local combustion sources contributed with 61% and 79% to total mass in the urban and rural sites, respectively, reflecting serious local or even regional problem associated with PMIO pollution. The episodic presence of As, the commonly known toxic element, requires a detailed study for better understanding of its temporal distribution both in the rural and urban atmosphere.
Źródło:
Environment Protection Engineering; 2013, 39, 4; 91-103
0324-8828
Pojawia się w:
Environment Protection Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of X-ray fluorescence method for elemental analysis of PM2.5 fraction
Autorzy:
Samek, L.
Furman, L.
Kawik, T.
Welnogorska, K.
Powiązania:
https://bibliotekanauki.pl/articles/971541.pdf
Data publikacji:
2015
Wydawca:
Instytut Chemii i Techniki Jądrowej
Tematy:
air pollution
energy dispersive X-ray fluorescence (EDXRF)
elemental analysis
particulate matter
Opis:
The scientific interest in air pollution comes from its influence on human health, the condition of cultural heritage and climate. The PM2.5 fraction (particles of a diameter of 2.5 mm or below), indirectly, has a significant impact on health which is associated with respiratory tract and blood vessel related diseases. However, not only the size, but also the content of the particles has a significant meaning. To determine the particulate matter contents, elemental analysis can be performed using numerous techniques, the most important of which is X-ray fluorescence. In this study, samples of PM2.5 fraction collected in Krakow, Poland were analyzed. The X-ray fluorescence method was used to perform elemental analysis. The gravimetric method was applied to determine the concentration of the PM2.5 fraction. Low detection limits of individual elements and precision of the X-ray fluorescence method were determined. The concentrations of the following elements: Cl, K, Ca, Cr, Mn, Fe, Cu, Zn, Br, Rb, Sr and Pb in the PM2.5 fraction samples collected in Krakow were evaluated. The homogeneity of the samples was also estimated. The concentrations of PM2.5 fraction collected in the summer of 2013 were in the range of 6–23 ng/m3. The concentrations of PM2.5 fraction collected in the winter of 2013 were in the range of 26–171 ng/m3. The precision of the method was found to be below 1% for elements with high concentration in the sample and 6–8 % for trace elements.
Źródło:
Nukleonika; 2015, 60, No. 3, part 2; 621-626
0029-5922
1508-5791
Pojawia się w:
Nukleonika
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-5 z 5

    Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies