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Copyright of Journal of Mechanical Engineering / Strojniški Vestnik is the property of University of Ljubljana, Faculty of Mechanical Engineering, Journal of Mechanical Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Geodesy & Cartography (1392-1541) is the property of Vilnius Gediminas Technical University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Zasavje is an industrial region in Slovenia located along the Sava River's steep canyon where PM10 air pollution is a major problem. In the paper a national project with the title 'Prognostic and diagnostic integrated regional air pollution modelling system' is described where it is shown that such a project can significantly contribute to the proper understanding of air pollution in smaller regions with a very complex topography. To achieve online efficiency some new methods to obtain high resolution short-range meteorological fields derived from meso-scale models have been developed and the implementation of the advanced Lagrangian model's acceleration techniques and novel approaches for the whole system integration is presented. The project's test-bed was established as a novel approach to the overall treatment of the scientific-applicative project goal. [ABSTRACT FROM AUTHOR]

As an alternative to the commonly used univariate flood frequency analysis, copula frequency analysis can be used. In this study, 58 flood events at the Litija gauging station on the Sava River in Slovenia were analysed, selected based on annual maximum discharge values. Corresponding hydrograph volumes and durations were considered. Different bivariate copulas from three families were applied and compared using different statistical, graphical and upper tail dependence tests. The parameters of the copulas were estimated using the method of moments with the inversion of Kendall's tau. The Gumbel-Hougaard copula was selected as the most appropriate for the pair of peak discharge and hydrograph volume ( Q-V). The same copula was also selected for the pair hydrograph volume and duration ( V-D), and the Student-t copula was selected for the pair of peak discharge and hydrograph duration ( Q-D). The differences among most of the applied copulas were not significant. Different primary, secondary and conditional return periods were calculated and compared, and some relationships among them were obtained. Copyright © 2014 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]