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Ker se novi trendi vse bolj nagibajo k sonaravnemu urejanju vodotokov oziroma obvodnega prostora, smo se v nalogi ukvarjali z ukrepom živih mej kot ene od predstavnic le teh, za zmanjšanje erozijske nevarnosti na poplavnih območjih. Sonaravni ukrepi imajo poleg zaščitne tudi ekološko funkcijo, saj izboljšajo življenjske pogoje za vodni in obvodni živelj. Za izbrano poplavno območje reke Hudinje smo s hidravličnim modelom preverili vpliv rabe tal ter različne scenarije uporabe živih mej, ugotovitve pa podkrepili s številnimi prikazi. Vpliv izbranih ukrepov smo primerjali z obstoječim stanjem in tako upravičili njihovo izbiro. Prikazali smo primerjave globin, gladin, hitrosti ter strižnih napetosti za različne pretoke. Ugotovili smo, da raba tal pomembno vpliva na samo odpornost. Zaradi podnebnih sprememb in napovedi večanja tako intenzitete kot pogostosti visokih voda je potrebno skrbno načrtovati rabo prostora ter ukrepe na poplavnih območjih. Due to latest trends which are more oriented to the sustainable regulation of watercourses or riparian space, we focused in this master thesis on the measure of hedgerows, as one of their representatives, to reduce the erosion risk in flood areas. Sustainable measures have beside protection, also ecological function as they improve living conditions for aquatic and riparian life. For the selected flood area of Hudinja river we, used a hydraulic model to check the impact of land use and various scenarios for the use of hedges and supported the findings with numerous demonstrations. We compared the impact of the selected measures with the existing conditions and thus justify their choice. We presented comparisons of depths, levels, velocities, and shear stresses for different flows. We discovered that land use has a significant impact on resilience itself. Due to climate change and the forecast of an increase in both the intensity and frequency of high waters, it is necessary to carefully plan the use of space and measures in flood areas.

Dimenzioniranje različnih hidrotehničnih objektov, načrtovanje, upravljanje z vodami, ipd., vse to zahteva poznavanje konic visokovodnih valov in v nekaterih primerih tudi celotnega hidrograma. Če imamo na voljo meritve (npr. pretoki, padavine) lahko zakonitosti spreminjanja pretokov ugotovimo z večjo zanesljivostjo. V primerih, ko meritev ni, oziroma jih je premalo, pa si pomagamo z različnimi hidrološkimi modeli ali s preprostimi empiričnimi enačbami. V diplomski nalogi smo za zgornji del porečja Dravinje (do vodomerne postaje Zreče) izdelali hidrološki model s programskim orodjem HEC-HMS ter model umerili na podlagi meritev. Za določitev topografskih značilnosti porečja smo uporabili programsko orodje SAGA-GIS. Na podlagi značilnosti porečja smo določili parametre posameznih metod hidrograma enote (HE). Za najustreznejšo metodo se je izkazala Clarkova metoda. Z uporabo različnih porazdelitvenih funkcij smo izračunali rezultate verjetnostnih analiz. Za primerjavo s hidrološkim modelom smo izbrali logaritemsko normalno porazdelitev, ker se je najbolje prilegala merjenim podatkom. Eden izmed glavnih podatkov hidrološkega modela je koeficient Curve Number (CN), ki opisuje padavinske izgube za izbrano porečje. Izbrana Clarkova metoda HE vsebuje parametra čas koncentracije Tc in akumulacijski koeficient R. Tako pri umerjanju, kot pri validaciji modela, smo izbrali po 3 padavinske dogodke različnih magnitud. Izkazalo se je, da smo na podlagi umerjanja in validiranega hidrološkega modela dobili primerljive rezultate s predhodno izračunanimi parametri na podlagi teoretičnih enačb. S pomočjo podatkov o ITP in Huffovih krivuljah smo določili projektne padavinske dogodke z 10-, 50-, 100-letno povratno dobo ter z uporabo umerjenega in validiranega modela izračunali tudi projektne pretoke, ki smo jih primerjali z rezultati verjetnostnih analiz. Modelsko določeni projektni pretoki so nekoliko večji kot pretoki izračunani z verjetnostnimi analizami. Designing various hydrotechnical structures, planning, water management etc. require the knowledge of the peak discharge values and hydrographs. If measurements (discharge and precipitation) are available we can determine basic hydrological concepts and properties with greater reliability. In cases when measurements are not available or measurement period is relatively short, we can use different hydrological models or simple empirical equations for previously mentioned purpose. In this graduation thesis, a hydrological model using the HEC-HMS software was developed for the upper part of the Dravinja river basin (up to the Zreče water gauging station) and it was calibrated using measured discharge data. The software SAGA-GIS was used to determine the topographic characteristics of the basin. On the basis of the characteristics of the basin we determined the parameters of the the unit hydrograph (UH) methods. Clark UH method proved to be the most appropriate method for the investigated basin. Using different distribution functions, the results of flood frequency analysis were calculated. For comparison with the hydrological model, the logarithmic normal distribution was chosen because it gave the best fit to the measured data. One of the main parameters of the hydrological model is the Curve Number (CN) coefficient, which describes the precipitation losses for the selected river basin. The selected Clark UH method contains time of concentration Tc and the accumulation coefficient R parameters. Thus, during the calibration process three runoff events of different magnitudes were chosen. The calibrated model parameters were additionally validated using three different runoff events. It turned out that on the basis of the calibrated and validated hydrological model, we obtained comparable results with previously calculated parameters using the theoretical equations. Using the intenstity-duration-frequency (IDF) and Huff curves, design precipitation events were determined for a 10-, 50-, 100-year return period. Applying the calibrated and validated model design discharge values were calculated and compared with the results of the flood frequency analysis. Design discharge values obtained using the design rainfall events are slightly larger than the design discharge values calculated using the flood frequency analysis approach.