An index-flood statistical model for hydrological drought assessment

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F20%3A00524622" target="_blank" >RIV/86652079:_____/20:00524622 - isvavai.cz</a>

Alternative codes found

RIV/60460709:41110/20:82323 RIV/60460709:41330/20:82323 RIV/00020711:_____/20:00005046

Result on the web

<a href="https://www.mdpi.com/2073-4441/12/4/1213/htm" target="_blank" >https://www.mdpi.com/2073-4441/12/4/1213/htm</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/W12041213" target="_blank" >10.3390/W12041213</a>

Result language

angličtina

Original language name

An index-flood statistical model for hydrological drought assessment

Original language description

Modelling of hydrological extremes and drought modelling in particular has received much attention over recent decades. The main aim of this study is to apply a statistical model for drought estimation (in this case deficit volume) using extreme value theory and the index-flood method and to reduce the uncertainties in estimation of drought event return levels. Deficit volumes for 133 catchments in the Czech Republic (1901-2015) were simulated by hydrological model BILAN. The validation of severity, intensity and length of simulated drought events revealed good match with the available observed data. To estimate return levels of the deficit volumes, it is assumed (in accord with the index-flood method), that the deficit volumes within a homogeneous region are identically distributed after scaling with a site-specific factor. The parameters of the scaled regional distribution are estimated using L-moments. The goodness-of-fit of the statistical model is assessed by Anderson-Darling test. For the estimation of critical values, sampling methods allowing for handling of years without drought were used. It is shown, that the index-flood model with a Generalized Pareto distribution performs well and substantially reduces the uncertainty related to the estimation of the shape parameter and of the large deficit volume quantiles.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10503 - Water resources

Project

<a href="/en/project/GC19-24089J" target="_blank" >GC19-24089J: XEROS: eXtreme EuRopean drOughtS - Multimodel synthesis of past, present and future events</a><br>

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2020

Confidentiality

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

Name of the periodical

Water

ISSN

2073-4441

e-ISSN

—

Volume of the periodical

12

Issue of the periodical within the volume

4

Country of publishing house

CH - SWITZERLAND

Number of pages

17

Pages from-to

1213

UT code for WoS article

000539527500290

EID of the result in the Scopus database

2-s2.0-85085172010