Publication details

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 of publication 2018
Type Conference abstract
MU Faculty or unit

Faculty of Science

Description 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.
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