VEGETATION AND LAND USE ANALYSIS FOR RUNOFF ESTIMATION IN SMALL FORESTED CATCHMENT: A CASE STUDY OF TAJOVSKÝ BROOK IN SLOVAKIA
Abstract
DOI: 10.26471/cjees/2022/017/202
Flash floods have been in the centre of attention for numerous hydrological studies recently and their magnitude and frequency are projected to increase due to the changing climate. This is especially important in small catchments where a local storm event can cause rapid increase in damage causing discharges. To estimate the possible impacts of a rainfall event, it is necessary to understand the precipitation/runoff conditions. Soil Conservation Service Curve Number (SCS CN) method is widely used and discussed to estimate the effect of land cover and soil moisture conditions on runoff. In this paper, we implement this standard method in the Tajovský brook catchment in Central Slovakia. The individual land cover classes were identified, and weighted CN numbers were established. Forest accounted for 67% of the entire area, grasslands for 19% and built-up areas for 10%. The final CNII number was computed as 60.8. Seven initial abstraction ratio values were tested on a monthly hydrograph data and optimal value was set to 0.01. This suggests the possible most suited regional value of the abstraction ratio that could be used for this type of small (<50 km) forested catchments, but further testing on other catchments and precipitation events would be beneficial.
- vegetation
- structure
- plant
- alliances
- land
- cover
- retention
- runoff
- extreme
- rainfall
- Slovakia
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of CJEES and/or the editor(s). CJEES and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
© 2022 by the author(s). Licensee CJEES, Carpathian Association of Environment and Earth Sciences. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
How to cite
Checking for open citations...