Pollack Periodica
Volume/Issue:
Volume 15: Issue 1

Determination of SCS-CN initial abstraction ratio in a catchment prone to flash floods

Authors:
Martin Caletka Department of Geography, Faculty of Science, Masaryk University, Kotlářská 2 611 37 Brno, Czech Republic
T. G. Masaryk Water Research Institute, Brno Branch, Mojmírovo náměstí 16 612 00 Brno, Czech Republic

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Monika Šulc Michalková Department of Geography, Faculty of Science, Masaryk University, Kotlářská 2 611 37 Brno, Czech Republic

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Pages:
112–123
Online Publication Date:
Apr 2020
Publication Date:
01 Apr 2020
Article Category:
Research Article
DOI:
https://doi.org/10.1556/606.2020.15.1.11
Keywords:
Curve number; Flash flood; Initial abstraction ratio; Surface runoff
Restricted access

Abstract

The soil conservation service - curve number method is a globally used approach to simulations of surface runoff for its simplicity and applicability. Nevertheless, relevant simulations require proper setting of the model's components. This work focuses on optimization of initial abstraction ratio λ in the Husí potok sub-catchments in Czech Republic. Due to favorable morphology, the watershed is prone to flash floods and accurate modeling of surface runoff is of high interest. The analysis was conducted using pairs of discharge and rainfall measurements. The results outline that the traditional value λ= 0.2 is too high in this watershed and should be reduced.

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Pollack Periodica
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  • Bálint Bachmann (Institute of Architecture, Faculty of Engineering and Information Technology, University of Pécs, Hungary)
  • Jeno Balogh (Department of Civil Engineering Technology, Metropolitan State University of Denver, Denver, Colorado, USA)
  • Radu Bancila (Department of Geotechnical Engineering and Terrestrial Communications Ways, Faculty of Civil Engineering and Architecture, “Politehnica” University Timisoara, Romania)
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  • Róbert Kersner (Department of Technical Informatics, Institute of Information and Electrical Technology, Faculty of Engineering and Information Technology, University of Pécs, Hungary)
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2022  
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not indexed
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5 Year
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Journal Citation Indicator not indexed
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Scimago
H-index		 14
Scimago
Journal Rank		 0.298
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Civil and Structural Engineering (Q3)
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Materials Science (miscellaneous) (Q3)
Modeling and Simulation (Q3)
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Scopus
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Modeling and Simulation 244/316 (22nd PCTL)
General Materials Science 351/453 (22nd PCTL)
Computer Science Applications 616/792 (22nd PCTL)
Software 344/404 (14th PCTL)
Scopus
SNIP		 0.861

2021  
Web of Science  
Total Cites
WoS		 not indexed
Journal Impact Factor not indexed
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not indexed
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without
Journal Self Cites		 not indexed
5 Year
Impact Factor		 not indexed
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not indexed
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Scimago
H-index		 12
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Journal Rank		 0,26
Scimago Quartile Score Civil and Structural Engineering (Q3)
Materials Science (miscellaneous) (Q3)
Computer Science Applications (Q4)
Modeling and Simulation (Q4)
Software (Q4)
Scopus  
Scopus
Cite Score		 1,5
Scopus
CIte Score Rank		 Civil and Structural Engineering 232/326 (Q3)
Computer Science Applications 536/747 (Q3)
General Materials Science 329/455 (Q3)
Modeling and Simulation 228/303 (Q4)
Software 326/398 (Q4)
Scopus
SNIP		 0,613

2020  
Scimago
H-index		 11
Scimago
Journal Rank		 0,257
Scimago
Quartile Score		 Civil and Structural Engineering Q3
Computer Science Applications Q3
Materials Science (miscellaneous) Q3
Modeling and Simulation Q3
Software Q3
Scopus
Cite Score		 340/243=1,4
Scopus
Cite Score Rank		 Civil and Structural Engineering 219/318 (Q3)
Computer Science Applications 487/693 (Q3)
General Materials Science 316/455 (Q3)
Modeling and Simulation 217/290 (Q4)
Software 307/389 (Q4)
Scopus
SNIP		 1,09
Scopus
Cites		 321
Scopus
Documents		 67
Days from submission to acceptance 136
Days from acceptance to publication 239
Acceptance
Rate		 48%

 

2019  
Scimago
H-index		 10
Scimago
Journal Rank		 0,262
Scimago
Quartile Score		 Civil and Structural Engineering Q3
Computer Science Applications Q3
Materials Science (miscellaneous) Q3
Modeling and Simulation Q3
Software Q3
Scopus
Cite Score		 269/220=1,2
Scopus
Cite Score Rank		 Civil and Structural Engineering 206/310 (Q3)
Computer Science Applications 445/636 (Q3)
General Materials Science 295/460 (Q3)
Modeling and Simulation 212/274 (Q4)
Software 304/373 (Q4)
Scopus
SNIP		 0,933
Scopus
Cites		 290
Scopus
Documents		 68
Acceptance
Rate		 67%

 

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Pollack Periodica
Language English
Size A4
Year of
Foundation		 2006
Volumes
per Year		 1
Issues
per Year		 3
Founder Akadémiai Kiadó
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ISSN 1788-1994 (Print)
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