Mojca Šraj (Author), Nejc Bezak (Author)

Abstract

Estimation of reliable design discharges under variable climate is a key challenge for todays engineers. Therefore, researchers are intensively exploring different alternative approaches in order to improve standard methods for design discharge estimation. Paper investigates the performance of time-invariant, time trend- and precipitation-informed models based on generalized extreme value (GEV) distribution for 31 Slovenian discharge gauging stations with data availability from 1961 until 2015. Different rainfall durations are used as covariates in the case of precipitation-informed models. The selected catchments are located in different climate regions and characterized by five flow regimes. The results indicate that in most cases precipitation-informed models gave better fit to the measured data comparing to time-invariant and time trend-informed models. Relative differences in the design discharge estimations associated with 10- and 100-year return periods using time trend- and precipitation-informed models compared to time-invariant model were up to 60%. Additionally, the results indicate that identified best-fitting model of individual gauging station can to some extent be related to its flow regime.

Keywords

poplave in spremembe;trendi;verjetnostne analize;povratne dobe;projektni pretoki;klimatska spremenljivost;flood change attribution;trends;flood frequency analysis;return period;design discharge;climate variability;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UL FGG - Faculty of Civil and Geodetic Engineering
UDC: 556
COBISS: 24642819 Link will open in a new window
ISSN: 0022-1694
Views: 300
Downloads: 70
Average score: 0 (0 votes)
Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

Secondary language: Slovenian
Secondary keywords: poplave in spremembe;trendi;verjetnostne analize;povratne dobe;projektni pretoki;klimatska spremenljivost;
Type (COBISS): Scientific work
Embargo end date (OpenAIRE): 0000-00-00
Pages: str. 1-10
Issue: ǂLetn. ǂ589
Chronology: okt. 2020
DOI: 10.1016/j.jhydrol.2020.125374
ID: 12048542