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IMPROVING DIRECT RUNOFF ESTIMATIONS THROUGH MODIFYING SCS-CN INITIAL ABSTRACTION RATIO IN A CATCHMENT PRONE TO FLASH FLOODS

Martin Caletka

First published: 2019-06-20https://doi.org/10.5593/sgem2019/3.1/s12.037View metrics

Abstract

Simulating direct runoff is vital, especially with regard to flash floods. The frequency of flash flood events increases as they are concomitant phenomena of the climate change. Considering the difficult prediction and rapid onset, as well as often lack of input data, the Soil Conservation Service curve number procedure (SCS-CN) poses a useful approach applied globally. Nevertheless, the method was developed for small agricultural watersheds in the USA, thus demanding corresponding modifications in order to provide relevant outputs in different environments. This work focuses on optimization of the initial abstraction ratio in the Husi potok catchment, the Czech Republic. In this watershed, severe flash flood events occurred in summer 2009 and 2010. Proper estimation of surface runoff is therefore a crucial issue here. The analysis of the initial abstraction ratio values was carried out using pairs of rainfall and discharge measurements. The results outline that the original value of the initial abstraction ratio 0.2 is too high and should be decreased. The identified values were then incorporated in direct runoff simulations to validate the results.

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Publication details

Title
IMPROVING DIRECT RUNOFF ESTIMATIONS THROUGH MODIFYING SCS-CN INITIAL ABSTRACTION RATIO IN A CATCHMENT PRONE TO FLASH FLOODS
Authors
Martin Caletka
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 19th International Multidisciplinary Scientific GeoConference SGEM2019, Water Resources. Forest, Marine and Ocean Ecosystems
Publisher
STEF92 Technology
Year
2019
Pages
281-288
SWS Citekey
Caletka201912281288
ISSN
1314-2704
ISBN
978-619-7408-81-2
Language
en
Publication type
Conference Paper
Keywords
curve numbercritical pointsfloodinitial abstraction ratiosurface runoff
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