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Faculty of Civil Engineering of the University of Belgrade
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GraFar
GraFar
Катедра за хидротехнику и водно-еколошко инжењерство
Browsing by Titles
GraFar
GraFar
Катедра за хидротехнику и водно-еколошко инжењерство
Browsing by Titles
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Titles
Application of numerical models for improvement of wellhead protection management: Case study: Korbovo wellhead
[1]
Application of partitioned multiobjective risk method on extreme events
[1]
Application of the exchange discharge model for the estimation of the rating curve in the compound channel – a case study
[1]
Application of the Fault Tree Technique to Reliability Analysis of Water Resources Systems
[1]
Application of the independent subsections method for the estimation of the rating curve in the compound channel – a case study
[1]
Applied Hydrology Workbook - Second Edition
[1]
Arsenic Removal from Water Using Industrial By-Products
[1]
Asimilacija računskog modela Dunava od Novog Sada do HE "Đerdap 1" u približno realnom vremenu - rezultati testiranja
[1]
Aspects of water velocity measurements with acoustic Doppler velocimetry
[1]
Aspekti merenja brzine vode akustičnom Dopler anemometrijom
[1]
Assessing uncertainty of a water quality model for a stormwater biofiltration treatment system
[1]
Assessment of Climate Change Impact on Floods in Two Catchments in Serbia
[1]
Assessment of corrosive characteristics of water according to indices of water aggression: Example of well field in Vojvodina
[1]
Assessment of methods for outlier detection and treatment in flood frequency analysis
[1]
Assessment of the impact of bend type on flow characteristics in 180° compound bends
[1]
Assessment of the Influence of Dam and Hydropower Plant on the Change of Water Quality
[1]
Assessment of the liquid flow rate in complex flow conditions with flat electromagnetic sensors
[1]
Assessment of the position and dimensions of the ski-jump scour-hole
[1]
Assessment of the uncertainties in flow projections under climate change
[1]
Assessment of water resources system resilience under hazardous events using system dynamic approach and artificial neural networks
[1]
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