Statistical Character and Transport Pathways of Atmospheric Aerosols in Belgrade

Mijić, Zoran; Stojić, Andreja; Perišić, Mirjana; Rajšić, S.; Tasić, M.

doi:10.5772/45873

Cited by 3 publications

(1 citation statement)

References 68 publications

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“…It is hypothesized that, after the removal of extreme concentrations of V, which result from the occurrence of Saharan dust episodes, one of the contributions (most likely the anthropogenic one) prevails upon the other. Besides, Mijic et al (2012) have suggested that the Weibull distribution might reflect, for the case of atmospherically transported TMs, a strong influence of transport processes. This is in agreement, at the Cap Ferrat sampling station, with V of which the emission sources (Saharan dust and anthropogenic derived from shipping) are far from the coastal receptor site.…”

Section: Resultsmentioning

confidence: 99%

Statistical distributions of trace metal concentrations in the northwestern Mediterranean atmospheric aerosol

Robin¹,

Guidi²,

Dufour³

et al. 2013

Environ Monit Assess

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The concentrations of 11 crustal and anthropogenic trace metals (Li, Al, V, Mn, Fe, Co, Ni, Cu, Zn, Cd, Pb) were measured from 2006 to 2008 in the atmospheric aerosol at a northwestern Mediterranean coast (station of Cap Ferrat, situated on the southeastern coast of France). Statistical models (lognormal, Weibull, and gamma) that best represented the trace metal distribution for this environment are described. The lognormal model was selected for the distributions of (in decreasing strength of the fit) Al, Co, Li, Zn, Mn, Cu, Pb, and Cd, i.e., metals that are introduced into the atmospheric aerosol by pulses inducing temporal variability in their concentrations. The gamma model was associated with Fe, i.e., metals that exhibit less inter-annual variability than the former trace metals. The third mode (Weibull) represented the distribution of the concentrations of V and Ni. The statistical approach presented in this study contributed to better define and constrain the distribution of the 11 trace metals of the atmospheric aerosol from the northwestern Mediterranean coast. In a close future, knowledge of these statistical distributions will allow using convolution models to separate their natural and anthropogenic contributions, therefore increasing our ability to study anthropogenic emissions of trace metals and their impact on the environment.

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Section: Resultsmentioning

confidence: 99%

Statistical distributions of trace metal concentrations in the northwestern Mediterranean atmospheric aerosol

Robin¹,

Guidi²,

Dufour³

et al. 2013

Environ Monit Assess

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Re-construction of the shut-down PM10 monitoring stations for the reliable assessment of PM10 in Berlin using fuzzy modelling and data transformation

Shahraiyni

Sodoudi

Kerschbaumer

et al. 2017

Environ Monit Assess

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A dense monitoring network is vital for the reliable assessment of PM10 in different parts of an urban area. In this study, a new idea is employed for the re-construction of the 20 shut-down PM10 monitoring stations of Berlin. It endeavours to find the non-linear relationship between the hourly PM10 concentration of both the still operating and the shut-down PM10 monitoring stations by using a fuzzy modelling technique, called modified active learning method (MALM). In addition, the simulations were performed by using not only raw PM10 databases but also log-transformed PM10 databases for skewness reduction. According to the results of hourly PM10 simulation (root mean square error about 13.0 μg/m, correlation coefficient 0.88), the shut-down stations have been appropriately simulated and the idea of dense monitoring network development by the re-construction of the shut-down stations was realised. The results of simulations using raw and log-transformed databases showed that data transformation has no significant effect on the performance of MALM in the simulation of shut-down PM10 stations. By the combination of the 11 still operating stations and the 20 re-constructed stations, a dense monitoring network was generated for Berlin and was utilised for the calculation of the reliable monthly and mean annual PM10 concentration for five different PM10 zones in Berlin (the suburban-background, urban-background, urban-traffic, rural-background and suburban-traffic areas). The results showed that the mean annual concentration of PM10 at the five zones increased by about 13.0% in 2014 (26.3 μg/m) in comparison with 2013 (23.3 μg/m). Furthermore, the mean annual concentration of PM10 in the traffic lanes of the suburban (2013 25.0 μg/m, 2014 26.9 μg/m) and urban (2013 27.7 μg/m, 2014 31.3 μg/m) areas is about 14 and 20% higher than the PM10 concentration of suburban-background (2013 21.3 μg/m, 2014 24.5 μg/m) and urban-background (2013 23.0 μg/m, 2014 26.1 μg/m) areas, respectively.

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Urban background levels of particle number concentration and sources in Vilnius, Lithuania

Byčenkienė¹,

Plauškaitė²,

Dudoitis³

et al. 2014

Atmospheric Research

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Statistical Character and Transport Pathways of Atmospheric Aerosols in Belgrade

Cited by 3 publications

References 68 publications

Statistical distributions of trace metal concentrations in the northwestern Mediterranean atmospheric aerosol

Statistical distributions of trace metal concentrations in the northwestern Mediterranean atmospheric aerosol

Re-construction of the shut-down PM10 monitoring stations for the reliable assessment of PM10 in Berlin using fuzzy modelling and data transformation

Urban background levels of particle number concentration and sources in Vilnius, Lithuania

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