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Artificial neural network modelling of biological oxygen demand in rivers at the national level with input selection based on Monte Carlo simulations
(Springer Heidelberg, Heidelberg, 2015)
Biological oxygen demand (BOD) is the most significant water quality parameter and indicates water pollution with respect to the present biodegradable organic matter content. European countries are therefore obliged to ...
Characterization of PCBs from computers and mobile phones, and the proposal of newly developed materials for substitution of gold, lead and arsenic
(Springer Heidelberg, Heidelberg, 2013)
In this paper, we have analyzed parts of printed circuit board (PCB) and liquid crystal display (LCD) screens of mobile phones and computers, quantitative and qualitative chemical compositions of individual components, and ...
Modelling of dissolved oxygen content using artificial neural networks: Danube River, North Serbia, case study
(Springer Heidelberg, Heidelberg, 2013)
The aims of this study are to create an artificial neural network (ANN) model using non-specific water quality parameters and to examine the accuracy of three different ANN architectures: General Regression Neural Network ...
Adsorption of estrone, 17 beta-estradiol, and 17 alpha-ethinylestradiol from water onto modified multi-walled carbon nanotubes, carbon cryogel, and carbonized hydrothermal carbon
(Environmental Science and Pollution Research, 2022)
Carbon materials of different structural and textural properties (multi-walled carbon nanotubes, carbon cryogel, and carbonized hydrothermal carbon) were used as adsorbents for the removal of estrone, 17 beta-estradiol, ...
Occurrence and behavior of selected pharmaceuticals during riverbank filtration in The Republic of Serbia
(Springer Verlag, 2017)
The objectives of the research are to determine the occurrence of pharmaceuticals in surface water and groundwater in the Republic of Serbia and to identify significant effects of river-water purification through riverbank ...
Modification of CaCO3 and CaCO3 pin-coated cellulose paper under supercritical carbon dioxide-ethanol mixture for enhanced NO2 capture
(Environmental Science and Pollution Research, 2022)
In this work, we examine two modifications of fine-ground calcium carbonate material (GCC) in order to enhanced sorption of NO2 and subsequent reaction properties toward NO2-/NO3- formation by firstly exposing the GCC to ...
Modeling of ammonia emission in the USA and EU countries using an artificial neural network approach
(Springer Heidelberg, Heidelberg, 2015)
Ammonia emissions at the national level are frequently estimated by applying the emission inventory approach, which includes the use of emission factors, which are difficult and expensive to determine. Emission factors are ...