Initial abstraction ratio and Curve Number estimation using rainfall and runoff data from a tropical watershed

TC401-506 Technology T 0207 environmental engineering Hydrologic modeling Hydraulic engineering 02 engineering and technology 15. Life on land 6. Clean water River, lake, and water-supply engineering (General) G Environmental sciences CN 13. Climate action Geography. Anthropology. Recreation Ungauged basins GE1-350 TC1-978 Rainfall-runoff events
DOI: 10.1590/2318-0331.241920170199 Publication Date: 2019-02-05T14:02:27Z
ABSTRACT
ABSTRACT The Curve Number (CN) method is extensively used for predict surface runoff from storm events. However, remain some uncertainties in the method, such as use of an initial abstraction (λ) standard value 0.2 and on choice most suitable CN values. Here, we compute λ values using rainfall data to a rural basin located Midwestern Brazil. We 30 observed rainfall-runoff events with depth greater than 25 mm derive associated five statistical methods. noted ranging 0.005 0.455, median 0.045, suggesting = 0.05 instead 0.2. found S0.2 S0.05 conversion factor 2.865. also negative Nash-Sutcliffe Efficiency (to estimated runoff). Therefore, our findings indicated that was not estimate studied basin. This poor performance suggests mechanisms area are dominated by subsurface stormflow.
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