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
AUTHORS (3)
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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