Improvement of SCS-CN Initial Abstraction Coefficient in the
Czech Republic: A Study of Five Catchments

J 2020

Improvement of SCS-CN Initial Abstraction Coefficient in the Czech Republic: A Study of Five Catchments

CALETKA, Martin; Monika ŠULC MICHALKOVÁ; Petr KARÁSEK a Petr FUČÍK

Základní údaje

Originální název

Improvement of SCS-CN Initial Abstraction Coefficient in the Czech Republic: A Study of Five Catchments

Autoři

CALETKA, Martin; Monika ŠULC MICHALKOVÁ; Petr KARÁSEK a Petr FUČÍK

Vydání

Water, Basel, MDPI, 2020, 2073-4441

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10501 Hydrology

Stát vydavatele

Švýcarsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 3.103

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14310/20:00115948

Organizační jednotka

Přírodovědecká fakulta

Klíčová slova anglicky

curve number; direct runoff; HEC-HMS; initial abstraction coefficient; rainfall-runoff modelling; SCS-CN

Štítky

14315030, rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 14. 9. 2020 15:15, Mgr. Marie Novosadová Šípková, DiS.

Anotace

V originále

The SCS-CN method is a globally known procedure used primarily for direct-runoff estimates. It also is integrated in many modelling applications. However, the method was developed in specific geographical conditions, often making its universal applicability problematic. This study aims to determine appropriate values of initial abstraction coefficients lambda and curve numbers (CNs), based on measured data in five experimental catchments in the Czech Republic, well representing the physiographic conditions in Central Europe, to improve direct-runoff estimates. Captured rainfall-runoff events were split into calibration and validation datasets. The calibration dataset was analysed by applying three approaches: (1) Modifying lambda, both discrete and interpolated, using the tabulated CN values; (2) event analysis based on accumulated rainfall depth at the moment runoff starts to form; and (3) model fitting, an iterative procedure, to search for a pair of lambda, S (CN, respectively). To assess individual rainfall characteristics’ possible influence, a principal component analysis and cluster analysis were conducted. The results indicate that the CN method in its traditional arrangement is not very applicable in the five experimental catchments and demands corresponding modifications to determine lambda and CN (or S, respectively). Both lambda and CN should be viewed as flexible, catchment-dependent (regional) parameters, rather than fixed values. The acquired findings show the need for a systematic yet site-specific revision of the traditional CN method, which may help to improve the accuracy of CN-based rainfall-runoff modelling.

Návaznosti

MUNI/A/1251/2017, interní kód MU

Název: Integrovaný výzkum environmentálních změn v krajinné sféře Země III

Investor: Masarykova univerzita, Integrovaný výzkum environmentálních změn v krajinné sféře Země III, DO R. 2020_Kategorie A - Specifický výzkum - Studentské výzkumné projekty

Citovat

CALETKA, Martin; Monika ŠULC MICHALKOVÁ; Petr KARÁSEK a Petr FUČÍK. Improvement of SCS-CN Initial Abstraction Coefficient in the Czech Republic: A Study of Five Catchments. Water. Basel: MDPI, 2020, roč. 12, č. 7, s. 1-28. ISSN 2073-4441. Dostupné z: https://doi.org/10.3390/w12071964.

@article{1669781,
   author = {Caletka, Martin and Šulc Michalková, Monika and Karásek, Petr and Fučík, Petr},
   article_location = {Basel},
   article_number = {7},
   doi = {https://doi.org/10.3390/w12071964},
   keywords = {curve number; direct runoff; HEC-HMS; initial abstraction coefficient; rainfall-runoff modelling; SCS-CN},
   language = {eng},
   issn = {2073-4441},
   journal = {Water},
   title = {Improvement of SCS-CN Initial Abstraction Coefficient in the Czech Republic: A Study of Five Catchments},
   url = {https://www.mdpi.com/2073-4441/12/7/1964},
   volume = {12},
   year = {2020}
}

TY  - JOUR
ID  - 1669781
AU  - Caletka, Martin - Šulc Michalková, Monika - Karásek, Petr - Fučík, Petr
PY  - 2020
TI  - Improvement of SCS-CN Initial Abstraction Coefficient in the Czech Republic: A Study of Five Catchments
JF  - Water
VL  - 12
IS  - 7
SP  - 1-28
EP  - 1-28
PB  - MDPI
SN  - 20734441
KW  - curve number
KW  - direct runoff
KW  - HEC-HMS
KW  - initial abstraction coefficient
KW  - rainfall-runoff modelling
KW  - SCS-CN
UR  - https://www.mdpi.com/2073-4441/12/7/1964
L2  - https://www.mdpi.com/2073-4441/12/7/1964
N2  - The SCS-CN method is a globally known procedure used primarily for direct-runoff estimates. It also is integrated in many modelling applications. However, the method was developed in specific geographical conditions, often making its universal applicability problematic. This study aims to determine appropriate values of initial abstraction coefficients lambda and curve numbers (CNs), based on measured data in five experimental catchments in the Czech Republic, well representing the physiographic conditions in Central Europe, to improve direct-runoff estimates. Captured rainfall-runoff events were split into calibration and validation datasets. The calibration dataset was analysed by applying three approaches: (1) Modifying lambda, both discrete and interpolated, using the tabulated CN values; (2) event analysis based on accumulated rainfall depth at the moment runoff starts to form; and (3) model fitting, an iterative procedure, to search for a pair of lambda, S (CN, respectively). To assess individual rainfall characteristics’ possible influence, a principal component analysis and cluster analysis were conducted. The results indicate that the CN method in its traditional arrangement is not very applicable in the five experimental catchments and demands corresponding modifications to determine lambda and CN (or S, respectively). Both lambda and CN should be viewed as flexible, catchment-dependent (regional) parameters, rather than fixed values. The acquired findings show the need for a systematic yet site-specific revision of the traditional CN method, which may help to improve the accuracy of CN-based rainfall-runoff modelling.
ER  -

CALETKA, Martin; Monika ŠULC MICHALKOVÁ; Petr KARÁSEK a Petr FUČÍK. Improvement of SCS-CN Initial Abstraction Coefficient in the Czech Republic: A Study of Five Catchments. \textit{Water}. Basel: MDPI, 2020, roč.~12, č.~7, s.~1-28. ISSN~2073-4441. Dostupné z: https://doi.org/10.3390/w12071964.

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