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Analiza specifičnih značilnih pretokov slovenskih rek
ID Kostevc, Lea (Author), ID Šraj, Mojca (Mentor) More about this mentor... This link opens in a new window, ID Kobold, Mira (Co-mentor)

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Abstract
Podnebna spremenljivost pomembno vpliva in spreminja potek dogajanja v hidrološkem krogu. Vse dosedanje analize kažejo na to, kako pomembna so prizadevanja za prilagajanje novim podnebnim spremembam, kako lahko zgodnje zaznavanje hidroloških ekstremov in njihovo dobro poznavanje pripomore k boljši pripravljenosti strokovnih služb in s tem učinkovitejšim ukrepom. Diplomsko delo obsega statistično analizo specifičnih značilnih pretokov slovenskih rek, in sicer srednjih malih, srednjih pretokov ter visokovodnih konic, za 58-letno obdobje (1960–2018). Analiza je narejena za 50 vodomernih postaj, zajetih v uradno mrežo vodomernih postaj, katere podatke o pretokih lahko prosto pridobimo na spletni strani Agencije Republike Slovenije za okolje (ARSO). Glede na prikaz specifičnih značilnih vrednosti pretokov smo ugotovili, da imajo visokovodne konice na večini obravnavanih vodomernih postaj večji razpon vrednosti kot srednji mali in srednji pretoki. Najbolj izrazito se to odraža pri srednjih pretokih, medtem ko so za visokovodne konice kot bolj mokri bolj izraziti jesenski meseci. Prostorsko gledano smo ugotovili, da so specifične vrednosti srednjih malih in srednjih pretokov razporejene po Sloveniji precej enakomerno, do razlik prihaja samo pri visokovodnih konicah. Pri srednjih malih in srednjih pretokih smo s pomočjo hierarhičnega razvrščanja vodomerne postaje razdelili v 5 skupin, pri visokovodnih konicah pa so se oblikovale 4 skupine. Za večino vodomernih postaj smo ugotovili, da sledijo dolgoletnemu povprečju, da so v poletnih mesecih zabeležene najnižje vrednosti podatkov, v nekaterih pomladnih in jesenskih mesecih pa so te vrednosti višje.

Language:Slovenian
Keywords:pretok, značilni pretok, specifični pretok, statistična analiza, sezonskost, programsko orodje R
Work type:Bachelor thesis/paper
Organization:FGG - Faculty of Civil and Geodetic Engineering
Year:2022
PID:20.500.12556/RUL-135098 This link opens in a new window
Publication date in RUL:22.02.2022
Views:695
Downloads:80
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Secondary language

Language:English
Title:Analysis of specific characteristic flows of Slovenian rivers
Abstract:
Climate variability has a significant impact on hydrological cycle and changes it. All of the analyses so far show the importance of efforts to adapt to new climate changes, how early detection and a good understanding of hydrological extremes can help to improve the preparedness of professional services and thus contribute to more effective actions. The thesis includes a statistical analysis of specific characteristic discharges of Slovenian rivers, namely mean small, mean discharges and the highest discharges for a 58-year period (1960-2018). The analysis was performed for 50 water gauging stations belonging to the official network of water gauging stations, whose hydrometric flow data are freely available on the website of the Slovenian Environment Agency (ARSO). When presenting the specific characteristic values of the discharges, we concluded that the highest discharges at most of the studied gauging stations have a larger range of values than the mean small and mean discharges. This is most evident for the mean discharges, while for the highest discharges the autumn months are more prominent as the wetter months. From the spatial perspective we can conclude that the indication for the specific values of the mean small and mean discharges is quite evenly distributed across Slovenia, with differences only for the highest discharges. In case of mean small and mean discharges we divided the gauging stations into 5 groups using hierarchical clustering, while for the highest discharges 4 groups were formed. Most gauging stations followed the long-term average, with the summer months recording the lowest data values and some spring and autumn months recording higher values.

Keywords:flows, specific flows, characteristic flows, statistical analysis, seasonal, software R

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