Retention and Curve Number Variability in a Small Agricultural Catchment: The Probabilistic Approach

Water

Kazimierz Banasik²  Agnieszka Rutkowska¹ 

[1] Department of Applied Mathematics, University of Agriculture, Balicka Street 253C, Cracow 30-198, Poland;Department of River Engineering, Sedimentation Lab, Warsaw University of Life Sciences—SGGW, Nowoursynowska Street 159, Warsaw 02-787, Poland; E-Mail:

关键词: curve number;    retention parameter;    theoretical distribution;    antecedent runoff conditions;   

DOI  :  10.3390/w6051118

来源: mdpi

【 摘 要 】

The variability of the curve number (CN) and the retention parameter (S) of the Soil Conservation Service (SCS)-CN method in a small agricultural, lowland watershed (23.4 km² to the gauging station) in central Poland has been assessed using the probabilistic approach: distribution fitting and confidence intervals (CIs). Empirical CNs and Ss were computed directly from recorded rainfall depths and direct runoff volumes. Two measures of the goodness of fit were used as selection criteria in the identification of the parent distribution function. The measures specified the generalized extreme value (GEV), normal and general logistic (GLO) distributions for 100-CN and GLO, lognormal and GEV distributions for S. The characteristics estimated from theoretical distribution (median, quantiles) were compared to the tabulated CN and to the antecedent runoff conditions of Hawkins and Hjelmfelt. The distribution fitting for the whole sample revealed a good agreement between the tabulated CN and the median and between the antecedent runoff conditions (ARCs) of Hawkins and Hjelmfelt, which certified a good calibration of the model. However, the division of the CNsample due to heavy and moderate rainfall depths revealed a serious inconsistency between the parameters mentioned. This analysis proves that the application of the SCS-CN method should rely on deep insight into the probabilistic properties of CN and S.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland.