Statistička analiza malih i velikih voda na slivu rijeke Bednje

master's thesis

• Title (english): Statistical analysis of low and high water in the Bednja river basin
• Author: Jelena Maloić
• Mentor: Dijana Oskoruš (mentor)
• Mentor: Sanja Kovač (komentor)
• Committee member: Jelena Loborec (predsjednik povjerenstva)
• Committee member: Dijana Oskoruš (član povjerenstva)
• Committee member: Sanja Kovač (član povjerenstva)
• Committee member: Karlo Leskovar (član povjerenstva)
• Committee member: Ivan Kovač (član povjerenstva)
• Granter: University of Zagreb; Faculty of Geotechnical Engineering; Varaždin
• Defense date and country: 2024-12-16, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Interdisciplinary Technical Sciences

Abstract

Hidrologija ima ključnu ulogu u prilagodbi klimatskim promjena i ublažavanju njihovih
posljedica. Proučavanjem režima oborina, protoka rijeka i podzemnih voda omogućuje
razumijevanje utjecaja klimatskih promjena na hidrološke sustave. To je temelj za
razvijanje strategija upravljanja vodnim resursima koje uključuju zaštitu od poplava,
ublažavanje suša i osiguranje dovoljnih količina pitke vode. Statistička analiza
hidroloških podataka, poput maksimalnih i minimalnih protoka rijeka, omogućuje
procjenu učestalosti ekstremnih hidroloških događaja za različite povratne periode. Takve
analize osiguravaju pouzdane podatke za modeliranje budućih promjena u režimu voda.
Na temelju tih modela mogu se planirati i optimizirati ključne infrastrukturne mjere,
poput izgradnje retencijskih bazena, modernizacije sustava navodnjavanja te
implementacije sustava ranog upozorenja. Ovi sustavi omogućuju pravovremenu reakciju
na ekstremne hidrološke pojave, te tako smanjuju rizike za zajednice i okoliš.

Abstract (english)

Hydrology plays a key role in adapting to climate change and mitigating its impacts. By
studying precipitation patterns, river discharge, and groundwater, enabling an
understanding of climate change effects on hydrological systems. This forms the basis for
developing water resource management strategies that include flood protection, drought
mitigation, and ensuring adequate supply of drinking water. Statistical analysis of
hydrological data, such as maximum and minimum discharge, allows the assessment of
extreme hydrological event frequency over different return periods. Such analyses
provide reliable data for modelling future changes in water regime. Based on these
models, key infrastructure measures can be planned and optimized, such as the
construction of retention reservoirs, improvement of irrigation systems, and
implementation of early warning systems. These systems enable timely responses to
extreme hydrological events, reducing risk to communities and the environment

• Keywords: hidrologija; klimatske promjene; statistička analiza; ekstremne hidrološke pojave
• Keywords (english): hydrology; climate change; statistical analysis; extreme hydrological events
• Language: croatian
• URN:NBN: urn:nbn:hr:130:443417
• Study programme: Title: Geoenvironmental Engineering; specializations in: Geoenvironmental Engineering, Environmental Management, Water Management; Course: Water Management; Study programme type: university; Study level: graduate; Academic / professional title: sveučilišni/a magistar/magistra inženjer/inženjerka inženjerstva okoliša (sveučilišni/a magistar/magistra inženjer/inženjerka inženjerstva okoliša)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Access restricted to authenticated users
• Created on: 2025-01-13 09:17:55