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EN
Catalytic converters contain the catalytic substance in their structure, which is a mixture of Platinum Group Metals (PGMs). The prices of these metals and a growing demand for them in the market, make it necessary to recycle spent catalytic converters and recovery of PGMs. In the study, the effect of ozone and hydrogen peroxide application on the possibility of extracting PGM from used car catalysts was investigated. The catalytic carrier was milled, sieved and then the fractions with the desired grain size were treated with the appropriate HCl mixture and 3%, 5%, 10%, 15% and 30% H2O2, respectively, and the tests were also carried out at temperature 333 K. Ozone tests were conducted with the O3 flow in the range of 1,3,5 g/h. Samples for analysis were collected after 30 min, 1 h, 2 h, 3 h and after 4 h, respectively. The residue after the experiments and filtration process was also analysed. The obtained results confirmed the assumption that PGMs can be extracted using hydrochloric acid with the addition of H2O2 or ozone as oxidants. It allows to significantly intensify the carried out reactions and to improve the rate of PGMs transfer to the solution.
EN
Different quantum chemical models were applied in energetic analysis of the process of oxidation of NO and NO2 through reaction with ozone generated by non-thermal equilibrium (low temperature), atmospheric pressure plasma. The potential energy surfaces of systems comprising NO and NO2 with ozone were characterized. The NOx oxidation processes well known, at the molecular level, were modelled by ab initio quantum chemistry methods to calculate the total reaction energy, Et, of each step in the reaction chain. Quantum chemistry was further applied in an attempt to detect the presence of any transition states and to calculate the activation energy, Ea, of reactions (1) NO + O3 and (2) NO2 + O3 using the MP2 level of theory with three different basis sets and fine potential energy scan resolution.
EN
Background: Knowledge plays a crucial role in supporting the European Union model based on economic growth, social responsibility, and sustainable development. To improve companies’ performance, one must reflect on new forms of knowledge and develop new indicators to measure them. Objectives: The goal of the paper is to investigate the impact of the selected factors of knowledge on companies’ performance in Slovenia. Methods/Approach: A questionnaire was created and sent to small and medium-sized enterprises in Slovenia. The principle axis factoring method was used to identify the factors of knowledge and of companies’ performance, and a regression analysis was conducted to determine the influence of the selected knowledge factors on companies’ performance. Results: The establishment of scientists’ collaboration with companies has a positive impact on companies’ performance, but the obstacles to the establishment of scientists’ collaboration with companies do not have any impact. Conclusions: The results could be useful for governments and companies in the adoption of measures aimed at strengthening scientists’ collaboration with companies. Further research can be oriented toward the common synergy index (e.g., the knowledge triangle).
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EN
Reactive pollutant dispersion in a 3-D urban street canyon is numerically investigated using a computational fluid dynamics (CFD) code (Ansys-CFX), with the k–ε turbulence model and includes transport equations for NO, NO2, and O3 with simple photochemistry. An area emission source of NO and NO2 was considered in the presence of background O3 with an ambient wind perpendicular to the along-canyon direction. The results showed that the magnitude of NOx (NO+NO2) concentrations on the leeward side of the upstream buildings was much larger than the windward side of the downstream building, due to the entrainment and dispersion of traffic emissions by the primary vortex. The reverse is the case for ozone with higher concentrations on the windward side compared to the leeward side. The model has been validated against no-reactive pollutant experimental data of the wind tunnel experiments of Hoydysh and Dabberdt [1].
EN
In the presence of massive data coming with high heterogeneity we need to change our statistical thinking and statistical education in order to adapt both - classical statistics and software developments that address new challenges. Significant developments include open data, big data, data visualisation, and they are changing the nature of the evidence that is available, the ways in which it is presented and the skills needed for its interpretation. The amount of information is not the most important issue – the real challenge is the combination of the amount and the complexity of data. Moreover, a need arises to know how uncertain situations should be dealt with and what decisions should be taken when information is insufficient (which can also be observed for large datasets). In the paper we discuss the idea of computational statistics as a new approach to statistical teaching and we try to answer a question: how we can best prepare the next generation of statisticians.
EN
This paper presents the results of a short-term study into the variability of air quality corresponding to a variety of weather conditions in two observation spots differing in terms of urban development and land use character. The project reported here was conducted in the areas of housing development in the rural and urban areas during the cold season. The analysis involved 384 independent, 60-minute registrations of core air pollutants (NO2, SO2, O3 and PM10). The research applied reference methodologies applied for measurements of physical parameters. The results of the registrations were compared by application of the Common Air Quality Index (CAQI) and the results were verified and analyzed by non-parametric tests (Spearman correlation and Wilcoxon ranked pair test). Consequently, it was stated that the comparison of air quality parameters by the application of the CAQI index provides an adequate solution. It was also observed that the short-term variability of the air quality parameters in the measurement spots is strictly related with the weather conditions in a given location. It was also concluded that during the cold season, the degree of urban development of the residential areas does not have a decisive effect on the course of the profiles of the core pollutants registered during one day. As a result, it was indicated that PM10 forms the source of pollution and determines the overall air quality. The study also revealed that air quality in the inhabited rural areas does not differ much from the more populated residential area in the town.
PL
Artykuł przedstawia wyniki krótkoterminowych badań nad zmiennością jakości powietrza dla odmiennych warunków pogodowych w dwóch, różniących się stopniem zurbanizowania i sposobem użytkowania, miejscach obserwacji. Projekt badawczy przeprowadzono na obszarze osiedli mieszkalnych w mieście i na wsi w sezonie chłodnym. Przeanalizowano 384 niezależnych, 60-minutowych rejestracji wartości stężenia podstawowych zanieczyszczeń powietrza (NO2, SO2, O3 i PM10). Wykorzystano referencyjne metodyki pomiarów wielkości fizycznych. Rezultaty rejestracji porównano przy wykorzystaniu ogólnego indeksu jakości powietrza (CAQI) a następnie przeanalizowano i zweryfikowano przy użyciu testów nieparametrycznych (korelacji Spearmana i testu Wilcoxona). Stwierdzono, że porównywanie jakościowych parametrów powietrza w różnych lokalizacjach przy użyciu CAQI jest dobrym rozwiązaniem. Wykazano, że krótkotrwała zmienność aerosanitarnej jakości powietrza jest ściśle związana z panującymi warunkami pogodowymi. Stwierdzono, że w sezonie zimowym, stopień zurbanizowania terenów zamieszkałych nie ma decydującego wpływu na dobowy kształt profili stężeń podstawowych zanieczyszczeń. Wykazano, że zanieczyszczeniem ustalającym ogólną jakość powietrza jest PM10. Znaleziono, że w okresie chłodnym, jakość powietrza na zamieszkałych obszarach wsi nie jest lepsza niż na znacznie bardziej ludnym osiedlu miejskim.
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