Revisiting flood peak distributions: A pan Canadian investigation

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F20%3A82303" target="_blank" >RIV/60460709:41330/20:82303 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/abs/pii/S030917082030227X" target="_blank" >https://www.sciencedirect.com/science/article/abs/pii/S030917082030227X</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.advwatres.2020.103720" target="_blank" >10.1016/j.advwatres.2020.103720</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Revisiting flood peak distributions: A pan Canadian investigation

Popis výsledku v původním jazyce

Safe and cost effective design of infrastructures, such as dams, bridges, highways, often requires knowing the magnitude and frequency of peak floods. The Generalized Extreme Value distribution (GEV) prevailed in flood frequency analysis along with distributions comprising location, scale, and shape parameters. Here we explore alternative models and propose power type models, having one scale and two shape parameters. The Burr type III and XII distributions are compared against the GEV in 1088 streamflow records of annual peaks across Canada. A generic L moment algorithm is devised to fit the distributions, also applicable to distributions without analytical L moment expressions. The analysis shows: the models perform equally well when describing the observed annual peaks. The right tail appears heavier in the BrIII and BrXII models leading to larger streamflow predictions when compared to those of GEV.The GEV predicts upper streamflow limits in 39,1 per cent of the records. These limits have reali

Název v anglickém jazyce

Revisiting flood peak distributions: A pan Canadian investigation

Popis výsledku anglicky

Safe and cost effective design of infrastructures, such as dams, bridges, highways, often requires knowing the magnitude and frequency of peak floods. The Generalized Extreme Value distribution (GEV) prevailed in flood frequency analysis along with distributions comprising location, scale, and shape parameters. Here we explore alternative models and propose power type models, having one scale and two shape parameters. The Burr type III and XII distributions are compared against the GEV in 1088 streamflow records of annual peaks across Canada. A generic L moment algorithm is devised to fit the distributions, also applicable to distributions without analytical L moment expressions. The analysis shows: the models perform equally well when describing the observed annual peaks. The right tail appears heavier in the BrIII and BrXII models leading to larger streamflow predictions when compared to those of GEV.The GEV predicts upper streamflow limits in 39,1 per cent of the records. These limits have reali

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10503 - Water resources

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

ADVANCES IN WATER RESOURCES

ISSN

0309-1708

e-ISSN

1872-9657

Svazek periodika

2020

Číslo periodika v rámci svazku

165

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

10

Strana od-do

1-10

Kód UT WoS článku

000579002600002

EID výsledku v databázi Scopus

2-s2.0-85089425937