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Določanje zrnavostne sestave rečnih plavin na naravnih prodiščih : diplomska naloga št.: 119/B-VOI
ID Poglajen, Ana (Author), ID Bezak, Nejc (Mentor) More about this mentor... This link opens in a new window, ID Mikoš, Matjaž (Comentor)

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Abstract
Premeščanje plavin je eden izmed pomembnejših procesov v vodotokih. Drobnejša, lažja zrna se pogosteje premeščajo z vodnim tokom, med tem ko se večja in težja zrna premeščajo samo ob večjih pretokih oz. ob večjih poplavnih dogodkih. Pomembno je, da poznamo podatek o zrnavostni sestavi, saj se le ta uporablja pri izračunih premestitvene zmogljivosti. Podatek je pomemben tudi z vidika ocene hrapavosti dna. Plavine v rečnem dnu so sestavljene iz dveh plasti, iz vrhnjega krovnega sloja ali posteljice dna in iz spodnje podlage. Pomembno je, da se analize zrnavosti plavin lotevamo ločeno za obe plasti posebej, saj se za različne analize uporabljajo različna značilna zrna. Pri oceni hrapavosti se uporablja podatek o zrnavosti krovnega sloja, za izračun prodnega premika pa se uporablja reprezentativno zrno podlage. V okviru diplomske naloge smo določali zrnavostno sestavo petih naravnih prodišč na območju srednje Save. Za vsako lokacijo smo uporabili 3 različne metode in na koncu primerjali dobljene rezultate. Zrnavost smo določali s sejalno analizo, linijsko analizo in optično analizo s pomočjo programa Basegrain. Rezultat vsake analize je bila zrnavostna krivulja, s pomočjo katere smo določili karakteristična zrna, d10, d30, d50, d70, d90 in srednje aritmetično zrno dm. Z izbranimi statističnimi testi smo primerjali vrednosti značilnih zrn. Rezultati uporabljenih statističnih testov za vse metode podajo podobne rezultate, vendar so določeni rezultati bolj podobni od drugih. Največkrat so najbolj primerljivi rezultati linijskih in optičnih analiz, rezultati sejalne in linijske analize pa pogosto najbolj odstopajo od ostalih. To je tudi pričakovano, saj se pri različnih metodah analizira drugačne vzorce. Pri sejalni metodi smo vzorčili ploskovni krovni sloj plavin, medtem ko pri linijski in optični analizi podatke preračunamo v prostorninski vzorec, ki predstavlja tudi podatek o zrnavosti podlage in ne samo krovnega sloja. Ugotovili smo tudi, da zrnavost ni enaka niti znotraj posameznega prodišča, ampak se spreminja ob spremenljivih pretočnih razmerah in je odvisna od mikrolokacije na prodišču. Ker je podatek o zrnavostni sestavi precej pomemben, bi lahko z majhnim finančnim in časovnim vložkom v nekem časovnem intervalu izvajali meritve na določenih lokacijah, s čimer bi pridobili podatke o spreminjanju zrnavostne sestave skozi čas. S tem informacijam bi lahko bolje razumeli in predvidevali dogajanje v vodotokih. Glede na rezultate te diplomske naloge priporočamo določanje zrnavostne sestave s kombinacijo izvedbe linijske in optične analize, saj podajata primerljive rezultate, sta obe časovno relativno hitri, poceni in ne zahtevata posebnega dostopa do lokacije, kot npr. sejalna analiza.

Language:Slovenian
Keywords:gradbeništvo, diplomske naloge, UNI, VOI, B-VOI, zrnavostna sestava, Kamniška Bistrica, rečne plavine, prod, sejalna analiza, linijska analiza, optična analiza, Basegrain
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FGG - Faculty of Civil and Geodetic Engineering
Place of publishing:Ljubljana
Publisher:[A. Poglajen]
Year:2022
Number of pages:IX, 49 str.
PID:20.500.12556/RUL-140082-69cd8a7e-06c8-3e86-def4-41209c942a73 This link opens in a new window
UDC:556.53:627.8.09(043.2)
COBISS.SI-ID:122819843 This link opens in a new window
Publication date in RUL:10.09.2022
Views:764
Downloads:84
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Secondary language

Language:English
Title:Determination of grain size distribution of river sediments on natural gravel bars : graduation thesis no.: 119/B-VOI
Abstract:
The sediment transport is one of the most important processes in watercourses. Smaller, lighter grains are transported more often by the water flow, while larger and heavier grains are transported only during larger flows or during major flooding events. It is important to know the information about the grain size distribution, because is used in the sediment capacity calculations. It is also essential for the assessment of channel roughness. River bed consists of two layers. It is important that the analysis of sediment grain size is undertaken separately for both layers since different characteristic grains are used for different analyses. Data on the grain size of the top layer is used to estimate the roughness, and a representative grain of the base is used to calculate the sediment transport. As part of the diploma thesis, we determined the grain size distribution of five natural gravel bars in the area of the middle Sava. We used 3 different methods for each location and finally we compared the results obtained. Grain size was determined by sieving analysis, line analysis and optical analysis using the Basegrain software. The result of each analysis was a grain size curve, with the help of which we determined the characteristic grains, d10, d30, d50, d70, d90 and the mean arithmetic grain dm. The values of characteristic grains were compared with selected statistical tests. The results of the statistical tests used for all methods give similar results, but certain results are more comparable than others. In most cases, the results of line and optical analyses are the most comparable, while the results of sieving and line analysis often deviate the most. This is also expected, since different samples are analyzed with different methods. In the sieving method, only the upper covering layer of the sediments was sampled, while in linear and optical analysis, the data is converted into a volumetric sample, which also represents data on the grain size of the base and not only the top layer. We also found that the grain size is not the same even within an individual gravel bar but changes all the time with changing flow conditions and depends on the micro location. Since the data on the granular distribution is quite important, with a small financial and time investment, measurements could be carried out at certain locations at certain time intervals, thereby obtaining data on changes in the granular distribution over time. With this information, we could better understand and predict what is happening in watercourses. Based on the results of this thesis, we recommend determining the grain size distribution by a combination of linear and optical analysis, as they provide comparable results, both are relatively quick, cheap and do not require special access to the location, such as e.g., sieving analysis.

Keywords:graduation thesis, civil engineering, grain size distribution, river sediments, gravel, sieving analysis, line analysis, optical analysis, Basegrain

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