Interpolation of selected discharge rates in ungauged fourth-order catchments in the Otava basin

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F24%3A101648" target="_blank" >RIV/60460709:41330/24:101648 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208618297&doi=10.46555%2fVTEI.2024.05.002&partnerID=40&md5=02a773570cd464b1d4c684b516b517e8" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208618297&doi=10.46555%2fVTEI.2024.05.002&partnerID=40&md5=02a773570cd464b1d4c684b516b517e8</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.46555/VTEI.2024.05.002" target="_blank" >10.46555/VTEI.2024.05.002</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Interpolation of selected discharge rates in ungauged fourth-order catchments in the Otava basin

Popis výsledku v původním jazyce

Knowledge of catchment runoff values is the key to a wide range of engineering and scientific applications. However, direct measurements in the scope of all fourth-order catchments in the Czech Republic are not realistic. Standard methods for estimating these parameters are local regression models, rainfall-runoff models, or other interpolation techniques. Regression models provide reliable results, but the derivation of local regression equations is demanding on the amount of input and reference data. Rainfall-runoff models have their application in design activities at a local scale. Their application in the Czech Republic is not trivial and requires knowledge of precipitation distribution. Interpolation techniques provide a fast but often less reliable approach. Most of these interpolations are not primarily intended for hydrological applications; the exception is the Top-Kriging method. It is based on kriging methods used in geostatistics, which it extends in many directions in order to affect hydrological regularities, especially the concentration of runoff in the river network. This method has been successfully used in Austria or France to estimate discharge rates in ungauged branches of the river network. However, is this method also suitable for use within the Czech Republic? Our results show that the heterogeneity of the catchments, especially in the mountainous and foothill areas of Šumava, significantly reduces the Top-Kriging performance. Additional transformation of the results can improve its performance in the case of some discharge rates. However, compared to direct calculations, Top-Kriging lags behind.

Název v anglickém jazyce

Interpolation of selected discharge rates in ungauged fourth-order catchments in the Otava basin

Popis výsledku anglicky

Knowledge of catchment runoff values is the key to a wide range of engineering and scientific applications. However, direct measurements in the scope of all fourth-order catchments in the Czech Republic are not realistic. Standard methods for estimating these parameters are local regression models, rainfall-runoff models, or other interpolation techniques. Regression models provide reliable results, but the derivation of local regression equations is demanding on the amount of input and reference data. Rainfall-runoff models have their application in design activities at a local scale. Their application in the Czech Republic is not trivial and requires knowledge of precipitation distribution. Interpolation techniques provide a fast but often less reliable approach. Most of these interpolations are not primarily intended for hydrological applications; the exception is the Top-Kriging method. It is based on kriging methods used in geostatistics, which it extends in many directions in order to affect hydrological regularities, especially the concentration of runoff in the river network. This method has been successfully used in Austria or France to estimate discharge rates in ungauged branches of the river network. However, is this method also suitable for use within the Czech Republic? Our results show that the heterogeneity of the catchments, especially in the mountainous and foothill areas of Šumava, significantly reduces the Top-Kriging performance. Additional transformation of the results can improve its performance in the case of some discharge rates. However, compared to direct calculations, Top-Kriging lags behind.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

10511 - Environmental sciences (social aspects to be 5.7)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název periodika

Vodohospodářské technicko-ekonomické informace

ISSN

0322-8916

e-ISSN

0322-8916

Svazek periodika

66

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

6

Strana od-do

12-18

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85208618297