Identifikacija utjecaja vodostaja rijeke Save na vodostaj jezera Jarun

master's thesis

• Title: Identifikacija utjecaja vodostaja rijeke Save na vodostaj jezera Jarun : diplomski rad
• Title (english): Influence identification of water level of river Sava on water level of lake Jarun : master's thesis
• Author: Matija Ratkaj
• Mentor: Kristijan Posavec (mentor)
• Committee member: Kristijan Posavec
• Committee member: Jelena Parlov
• Committee member: Željko Duić
• Granter: University of Zagreb; Faculty of Mining, Geology and Petroleum Engineering; (Department of Geology and Geological Engineering); Zagreb
• Defense date and country: 2014-09-25, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Mining, Petroleum and Geology Engineering; Geological Engineering

Abstract

U ovom radu je identificiran utjecaj vodostaja rijeke Save na vodostaj jezera Jarun. U analizama su korišteni podaci s 3 piezometra u neposrednoj blizini jezera Jarun, te s hidrološke postaje Sava Zagreb u razdoblju od 9.5.2014. do 12.6.2014. godine. Od statističkih metoda korištene su metoda korelacije, metoda regresije, te metoda kroskorelacije. Rezultati obrade podataka prikazani su u obliku koeficijenata, te dijagrama. Metodom korelacije dobiveni su visoki koeficijenti korelacije koji nam ukazuju na vrlo dobru povezanost rijeke Save i jezera Jarun. Vrijednosti koeficijenata korelacije padaju što je piezometar udaljeniji od Save. Metodom regresije dobiveni su polinomni regresijski modeli i koeficijenti determinacije za svaki od ispitanih parova podataka. Polinomni regresijski modeli nam omogućuju prognoziranje vrijednosti razine podzemnih voda u piezometrima ako znamo vodostaj rijeke Save. Metodom kroskorelacije dobiveni su korelogrami iz kojih možemo očitati vrijeme kašnjenja reakcije podzemne vode na promjenu vodostaja Save. Do reakcije porasta vodostaja jezera Jarun na porast vodostaja rijeke Save dolazi unutar 1-2 dana.

Abstract (english)

Abstract: In this paper the influience of water level of river Sava is identified with water level of the lake Jarun. The analysis features data from three piezometers near lake Jarun and with hydrological stations Sava in Zagreb in the period from 05.09.2014. to 06.12.2014. The fallowing statistical methods were used: correlation method, regression method and cross correlations method. Results of the data processing are presented in the form of coefficients and diagrams. The correlation method obtained high correlation coefficients that indicate a very good correlation of the Sava river and the lake Jarun. The values of correlation coefficients decreases, as piezometers are farther of river Sava. The regression method obtained polynomial regression models and coefficients of determination on each of the data pairs. Polynomial regression models allow us to forecasting value of groundwater levels in piezometers if we know the water level of the river Sava. The cross correlations method obtained corelograms from which we can read the time lag response of groundwater to change Sava level. The reaction of the increase in the water level of lake Jarun in the rising level of the river Sava comes within 1-2 days.

• Keywords: jezero Jarun; rijeka Sava; korelacija; regresija; kroskorelacija; vodostaj
• Keywords (english): lake Jarun; Sava river; correlation; regression; cross correlation; water level
• Language: croatian
• URN:NBN: urn:nbn:hr:169:367402
• Study programme: Title: Geological Engineering; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka geološkog inženjerstva (magistar/magistra inženjer/inženjerka geološkog inženjerstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Access restricted to students and staff of home institution
• Created on: 2016-01-12 09:04:43