EFFICIENT METHODS OF AUTOMATIC CALIBRATION FOR RAINFALL-RUNOFF MODELLING IN THE FLOREON+ SYSTEM

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F17%3A10237288" target="_blank" >RIV/61989100:27240/17:10237288 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27740/17:10237288

Výsledek na webu

<a href="http://nnw.cz/obsahy17.html#27.022" target="_blank" >http://nnw.cz/obsahy17.html#27.022</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.14311/NNW.2017.27.022" target="_blank" >10.14311/NNW.2017.27.022</a>

Jazyk výsledku

angličtina

Název v původním jazyce

EFFICIENT METHODS OF AUTOMATIC CALIBRATION FOR RAINFALL-RUNOFF MODELLING IN THE FLOREON+ SYSTEM

Popis výsledku v původním jazyce

Calibration of rainfall-runoff model parameters is an inseparable part of hydrological simulations. To achieve more accurate results of these simulations, it is necessary to implement an efficient calibration method that provides sufficient refinement of the model parameters in a reasonable time frame. In order to perform the calibration repeatedly for large amount of data and provide results of calibrated model simulations for the flood warning process in a short time, the method also has to be automated. In this paper, several local and global optimization methods are tested for their efficiency. The main goal is to identify the most accurate method for the calibration process that provides accurate results in an operational time frame (typically less than 1 hour) to be used in the flood prediction Floreon(+) system. All calibrations were performed on the measured data during the rainfall events in 2010 in the Moravian-Silesian region (Czech Republic) using our in-house rainfall-runoff model.

Název v anglickém jazyce

EFFICIENT METHODS OF AUTOMATIC CALIBRATION FOR RAINFALL-RUNOFF MODELLING IN THE FLOREON+ SYSTEM

Popis výsledku anglicky

Calibration of rainfall-runoff model parameters is an inseparable part of hydrological simulations. To achieve more accurate results of these simulations, it is necessary to implement an efficient calibration method that provides sufficient refinement of the model parameters in a reasonable time frame. In order to perform the calibration repeatedly for large amount of data and provide results of calibrated model simulations for the flood warning process in a short time, the method also has to be automated. In this paper, several local and global optimization methods are tested for their efficiency. The main goal is to identify the most accurate method for the calibration process that provides accurate results in an operational time frame (typically less than 1 hour) to be used in the flood prediction Floreon(+) system. All calibrations were performed on the measured data during the rainfall events in 2010 in the Moravian-Silesian region (Czech Republic) using our in-house rainfall-runoff model.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/LM2011033" target="_blank" >LM2011033: Zabezpečení účasti ČR v iniciativě PRACE a přístupu akademické obce a průmyslu ČR k HPC prostředkům na evropské úrovni</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název periodika

Neural Network World

ISSN

1210-0552

e-ISSN

—

Svazek periodika

27

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

23

Strana od-do

391-413

Kód UT WoS článku

000410411900005

EID výsledku v databázi Scopus

2-s2.0-85028693698