Identifikacija utjecaja temperaturnih oscilacija rijeke Save i geotermalnih anomalija na temperaturne oscilacije podzemne vode zagrebačkog i samoborskog vodonosnika

master's thesis

• Title: Identifikacija utjecaja temperaturnih oscilacija rijeke Save i geotermalnih anomalija na temperaturne oscilacije podzemne vode zagrebačkog i samoborskog vodonosnika : diplomski rad
• Title (english): Defining the impact of temperature oscillation of Sava river and geothermal anomaly on the temperature oscillation of groundwater in Zagreb and Samobor aquifer : master's thesis
• Author: Josipa Kapuralić
• Mentor: Kristijan Posavec (mentor)
• Committee member: Kristijan Posavec
• Committee member: Andrea Bačani
• Committee member: Jelena Parlov
• Granter: University of Zagreb; Faculty of Mining, Geology and Petroleum Engineering; (Department of Geology and Geological Engineering); Zagreb
• Defense date and country: 2013-02-11, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Mining, Petroleum and Geology Engineering; Geological Engineering

Abstract

U ovom radu, na temelju statističke analize vremenskih nizova podataka, pokušao se
opisati utjecaj temperatura rijeke Save i geotermalnih anomalija na temperature podzemne
vode zagrebačkog i samoborskog vodonosnika. U analizama su korišteni podaci o dnevnim
temperaturama rijeke Save i podzemne vode mjereni od strane Državnog
hidrometeorološkog zavoda (DHMZ). Primijenjene su sljedeće statističke metode: metoda
korelacije, metoda linearne regresije i metoda kroskorelacije te su analizirane maksimalne,
srednje i minimalne temperature podzemne vode. Rezultati obrade navedenim statističkim
metodama prikazani su u obliku koeficijenata, dijagrama i karata.
Pri obradi podataka utvrđeno je da se mjerenja dnevnih temperatura podzemne vode ne
provode redovito, odnosno provode se u višemjesečnim intervalima. Zbog korištenja
takvih nepotpunih setova podataka, pouzdanost rezultata obrade podataka je upitna.
Analizom maksimalnih, srednjih i minimalnih temperatura podzemnih voda utvrđeno je da
se maksimalne temperature kreću se između 11,5 ˚C i 26 ˚C, srednje u rasponu 10 ˚C do 18
˚C, a minimalne variraju između 4 ˚C i 16,6 ˚C. Iz karti izotermi za maksimalne, srednje i
minimalne temperature da se primijetiti da, uz postojanje određenih anomalija, temperature
generalno rastu krećući se nizvodno od područja samoborskog vodonosnika prema
zagrebačkom vodonosniku.

Abstract (english)

Abstract: In this paper, it was attempted to describe the effect of temperature of the Sava River and
geothermal anomalies on the groundwater temperature of Zagreb and Samobor aquifer
using the statistical analysis of time data series. The analysis features data for the daily
temperatures of the Sava River and groundwaters measured by the Meteorological and
Hydrological Services (MHS). Following statistical methods were used: correlation
method, linear regression method and cross correlations method, as well as the analysis of
the maximum, medium and minimum temperature of groundwater. Results of the above
mentioned data processing are presented in the form of coefficients, diagrams and maps.
This data processing showed that the daily measurements of groundwater temperature are
not conducted regularly, as they are conducted in intervals of several months. Furthermore,
due to the use of incomplete sets of data, reliability of the results of the data processing is
questionable. By analyzing maximum, medium and minimum temperatures of groundwater
it was found that maximum temperatures range between 11.5 ˚C and 26 ˚C, medium
range from 10 ˚C to 18 ˚C and minimum vary between 4 ˚C and 16.6 ˚C From map of
isotherms for maximum, medium and minimum temperatures can be noted that, with the
existence of certain anomalies, temperatures generally increase moving downstream from
Samobor aquifer area to Zagreb aquifer area.

• Keywords: temperatura; korelacija; regresija; kroskorelacija; rijeka Sava; zagrebački vodonosnik; samoborski vodonosnik
• Keywords (english): daily temperature; correlation method; linear regression method; cross corelation method; Sava river; Zagreb aquifer; Samobor aquifer
• Language: croatian
• URN:NBN: urn:nbn:hr:169:865402
• Study programme: Title: Geological engineering; specializations in: Hydrogeology and engineering geology, Environmental geology; Course: Hydrogeology and engineering geology; 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: 2016-01-19 10:15:16