Optimisation of the SCS-CN initial abstraction ratio in a
catchment prone to flash floods. Case study of the Husí potok
catchment, Czech Republic

a 2018

Optimisation of the SCS-CN initial abstraction ratio in a catchment prone to flash floods. Case study of the Husí potok catchment, Czech Republic

CALETKA, Martin and Monika ŠULC MICHALKOVÁ

Basic information

Original name

Optimisation of the SCS-CN initial abstraction ratio in a catchment prone to flash floods. Case study of the Husí potok catchment, Czech Republic

Authors

CALETKA, Martin (203 Czech Republic, guarantor, belonging to the institution) and Monika ŠULC MICHALKOVÁ (703 Slovakia, belonging to the institution)

Edition

14th Miklós Iványi International PDDLA symposium, Hungary, Pécs 29-30 October 2018, 2018

Other information

Language

English

Type of outcome

Conference abstract

Field of Study

10501 Hydrology

Country of publisher

Hungary

Confidentiality degree

is not subject to a state or trade secret

RIV identification code

RIV/00216224:14310/18:00104299

Organization unit

Faculty of Science

ISBN

978-963-429-284-5

Keywords in English

flash flood; critical points; initial abstraction ratio; SCS-CN; surface runoff

Abstract

In the original language

The SCS-CN method is a globally used popular approach to simulations of surface runoff. Its advantages reside in low demand on the input data and relatively simple application and computation. Nevertheless, the correct simulations require proper setting of the model’s com- ponents. This work focuses on optimisation of initial abstraction ratio Ia/S in the Husí potok catchment, the Czech Republic, and its sub-catchments using pairs of discharge and precip- itation measurements in period 2008-2016. Due to favourable morphology, the catchment is prone to flash floods. Major flash floods, which occurred in 2009 and 2010, caused severe damages. The attention of this research is focused on the evaluation of various aspects to as- sess the potential of surface runoff generation using the so called Critical Points method (CP). In parallel, the influence of the antecedent precipitation on the SCS-CN variables towards good representation of surface runoff has been analysed. The results outline that in this particular catchment, the Ia/S ratio is generally lower than the default one (Ia/S = 0.20). Thus, the SCS- CN method requires certain modifications according to the local specificities in the watershed. The findings obtained in this research will serve as a useful contribution to proper calibration in surface runoff modelling.

Links

MUNI/A/1251/2017, interní kód MU

Name: Integrovaný výzkum environmentálních změn v krajinné sféře Země III

Investor: Masaryk University, Category A

Cite

CALETKA, Martin and Monika ŠULC MICHALKOVÁ. Optimisation of the SCS-CN initial abstraction ratio in a catchment prone to flash floods. Case study of the Husí potok catchment, Czech Republic. In 14th Miklós Iványi International PDDLA symposium, Hungary, Pécs 29-30 October 2018. 2018. ISBN 978-963-429-284-5.

@proceedings{1459677,
   author = {Caletka, Martin and Šulc Michalková, Monika},
   booktitle = {14th Miklós Iványi International PDDLA symposium, Hungary, Pécs 29-30 October 2018},
   keywords = {flash flood; critical points; initial abstraction ratio; SCS-CN; surface runoff},
   language = {eng},
   isbn = {978-963-429-284-5},
   title = {Optimisation of the SCS-CN initial abstraction ratio in a catchment prone to flash floods. Case study of the Husí potok catchment, Czech Republic},
   year = {2018}
}

TY  - CONF
ID  - 1459677
AU  - Caletka, Martin - Šulc Michalková, Monika
PY  - 2018
TI  - Optimisation of the SCS-CN initial abstraction ratio in a catchment prone to flash floods. Case study of the Husí potok catchment, Czech Republic
SN  - 9789634292845
KW  - flash flood
KW  - critical points
KW  - initial abstraction ratio
KW  - SCS-CN
KW  - surface runoff
N2  - The SCS-CN method is a globally used popular approach to simulations of surface runoff. Its advantages reside in low demand on the input data and relatively simple application and computation. Nevertheless, the correct simulations require proper setting of the model’s com- ponents. This work focuses on optimisation of initial abstraction ratio Ia/S in the Husí potok catchment, the Czech Republic, and its sub-catchments using pairs of discharge and precip- itation measurements in period 2008-2016. Due to favourable morphology, the catchment is prone to flash floods. Major flash floods, which occurred in 2009 and 2010, caused severe damages. The attention of this research is focused on the evaluation of various aspects to as- sess the potential of surface runoff generation using the so called Critical Points method (CP). In parallel, the influence of the antecedent precipitation on the SCS-CN variables towards good representation of surface runoff has been analysed. The results outline that in this particular catchment, the Ia/S ratio is generally lower than the default one (Ia/S = 0.20). Thus, the SCS- CN method requires certain modifications according to the local specificities in the watershed. The findings obtained in this research will serve as a useful contribution to proper calibration in surface runoff modelling.
ER  -

CALETKA, Martin and Monika ŠULC MICHALKOVÁ. Optimisation of the SCS-CN initial abstraction ratio in a catchment prone to flash floods. Case study of the Husí potok catchment, Czech Republic. In \textit{14th Miklós Iványi International PDDLA symposium, Hungary, Pécs 29-30 October 2018}. 2018. ISBN~978-963-429-284-5.

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