Initial abstraction and curve numbers for semiarid watersheds in Southeastern Arizona

2012 ◽  
Vol 28 (3) ◽  
pp. 774-783 ◽  
Author(s):  
Yongping Yuan ◽  
Wenming Nie ◽  
Steven C. McCutcheon ◽  
Encarnación V. Taguas
RBRH ◽  
2019 ◽  
Vol 24 ◽  
Author(s):  
Luiz Claudio Galvão do Valle Junior ◽  
Dulce Buchala Bicca Rodrigues ◽  
Paulo Tarso Sanches de Oliveira

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 in the use of an initial abstraction (λ) standard value of 0.2 and on the choice of the most suitable CN values. Here, we compute λ and CN values using rainfall and runoff data to a rural basin located in Midwestern Brazil. We used 30 observed rainfall-runoff events with rainfall depth greater than 25 mm to derive associated CN values using five statistical methods. We noted λ values ranging from 0.005 to 0.455, with a median of 0.045, suggesting the use of λ = 0.05 instead of 0.2. We found a S0.2 to S0.05 conversion factor of 2.865. We also found negative values of Nash-Sutcliffe Efficiency (to the estimated and observed runoff). Therefore, our findings indicated that the CN method was not suitable to estimate runoff in the studied basin. This poor performance suggests that the runoff mechanisms in the studied area are dominated by subsurface stormflow.


Water ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 415 ◽  
Author(s):  
Adam Krajewski ◽  
Anna E. Sikorska-Senoner ◽  
Agnieszka Hejduk ◽  
Leszek Hejduk

The Curve Number method is one of the most commonly applied methods to describe the relationship between the direct runoff and storm rainfall depth. Due to its popularity and simplicity, it has been studied extensively. Less attention has been given to the dimensionless initial abstraction ratio, which is crucial for an accurate direct runoff estimation with the Curve Number. This ratio is most often assumed to be equal to 0.20, which was originally proposed by the method’s developers. In this work, storm events recorded in the years 2009–2017 in two small Polish catchments of different land use types (urban and agroforested) were analyzed for variability in the initial abstraction ratio across events, seasons, and land use type. Our results showed that: (i) estimated initial abstraction ratios varied between storm events and seasons, and were most often lower than the original value of 0.20; (ii) for large events, the initial abstraction ratio in the catchment approaches a constant value after the rainfall depth exceeds a certain threshold value. Thus, when using the Soil Conservation Service-Curve Number (SCS-CN) method, the initial abstraction ratio should be locally verified, and the conditions for the application of the suggested value of 0.20 should be established.


2015 ◽  
Vol 20 (3) ◽  
Author(s):  
Marina García-Llorente ◽  
Irene Iniesta-Arandia ◽  
Bárbara A. Willaarts ◽  
Paula A. Harrison ◽  
Pam Berry ◽  
...  

2014 ◽  
Vol 69 (5) ◽  
pp. 414-421 ◽  
Author(s):  
V. O. Polyakov ◽  
M. H. Nichols ◽  
M. P. McClaran ◽  
M. A. Nearing

2005 ◽  
Vol 110 (F4) ◽  
pp. n/a-n/a ◽  
Author(s):  
M. A. Nearing ◽  
Akitsu Kimoto ◽  
Mary H. Nichols ◽  
Jerry C. Ritchie

2010 ◽  
Vol 46 (9) ◽  
Author(s):  
V. O. Polyakov ◽  
M. A. Nearing ◽  
M. H. Nichols ◽  
R. L. Scott ◽  
J. J. Stone ◽  
...  

Author(s):  
Donald E. Woodward ◽  
Richard H. Hawkins ◽  
Ruiyun Jiang ◽  
Allen T. Hjelmfelt, Jr. ◽  
Joseph A. Van Mullem ◽  
...  

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