20.500.12556/RUL-104644 Algoritem za analizo časovne porazdelitve padavin znotraj padavinskega dogodka magistrsko delo Algorithm for analysis of temporal rainfall distribution within rainfall event master of science thesis Podatek o časovni porazdelitvi padavin znotraj padavinskega dogodka je za hidrološko modeliranje in za določevanje projektnih pretokov izrednega pomena, saj ima razporeditev padavin pomemben vpliv na čas nastopa visokovodne konice. Najbolj zanesljive določitve te porazdelitve pa so tiste, ki temeljijo na podatkih za daljše časovno obdobje. V prvem delu magistrske naloge smo izdelali in predstavili algoritem v programskem jeziku C#, ki analizira 5-minutne zapise ombrografa in loči posamezne padavinske dogodke. Izdelali smo tudi algoritem v programskem jeziku R, ki izdela Huffove krivulje in naredi dodatne statistične analize padavinskih dogodkov. Oba algoritma se lahko uporabita za katerokoli padavinsko postajo. V drugem delu naloge smo z uporabo obeh algoritmov naredili analizo dolgoletnih nizov meritev za 30 padavinskih postaj v Sloveniji in ugotovili, da prihaja do velikih razlik v časovni porazdelitvi padavin znotraj padavinskega dogodka. Iz rezultatov je razvidna tudi geografska odvisnost časovne porazdelitve padavin. Ugotavljali smo tudi razlike med letnimi časi in ugotovili, da prihaja do določenih razlik tako v časovni porazdelitvi padavin znotraj padavinskega dogodka, kot tudi v številu teh dogodkov. Na koncu smo preverili še vpliv podnebne spremenljivosti na časovno porazdelitev padavin za padavinsko postajo Ljubljana-Bežigrad in ugotovili, da bistvenega vpliva ni. Temporal rainfall distribution within each individual rainfall event is very important for hydrological modelling and for developing of design flows. This is because temporal rainfall distribution plays crucial role on appearance of time of peak flow rate. Most dependable methods for determination of temporal rainfall distribution are those, which rely on data from long periods of precipitation measurements. In the first part of the master thesis we developed algorithm in programming language C# which analyses 5 minute data obtained from rain gauge and divides each individual rainfall events. We also developed algorithm in programming language R that develops Huff curves and performs additional statistical analysis of rainfall events. Both algorithms can be used on data based from every rain gauge. In the second part of the thesis we performed analysis of data obtained form 30 rain gauges in Slovenia and concluded that significant differences in temporal rainfall distribution within rainfall events are occurring among them. The results show that geographical location plays significant role in temporal rainfall distribution within rainfall events. We also tried to identify differences among seasons and concluded that there are significant differences in temporal rainfall distributions within rainfall events and even in number of rainfall events in different season. We also tried to identify impact of climate change on temporal rainfall distribution within rainfall events using data for rain gauge in Ljubljana-Bežigrad and concluded that there is no significant change to be observed. vodarstvo in okoljsko inženirstvo magistrska dela algoritem padavine histogram krivulje Slovenija civil engineering master of science thesis algorithm rainfall distribution mass curves Slovenia synthetic hyetograph true false false [D. Dolšak] Slovenski jezik Angleški jezik Magistrsko delo/naloga 2018-10-09 14:43:10 2018-10-09 14:43:13 2022-12-16 15:50:26 0000-00-00 00:00:00 2015 0 Ljubljana 2015 Ljubljana XII, 76 str., [80] f. pril. 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.4:551.577.5(043.3) 7108193 RAZ_Dolsak_Domen_i2015.pdf RAZ_Dolsak_Domen_i2015.pdf 1 6B874EB851F30B786F134AB1620E2FAD 6a242299ff1baa7255541fd10c429ca4a0f936b435731bfbe3b046ea5befc312 0739caf3-a1b6-11eb-a523-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=115172 Fakulteta za gradbeništvo in geodezijo 0 0 0