Abstract

The Soil Conservation Service curve number (SCS-CN) method has been widely used in rainfall-runoff modelling; however, the direct effects of rainfall intensities and duration, which are major factors in hydrological engineering design, on its parameters (initial abstraction ratio (λ) and potential maximum storage (S), the latter is transformed into curve number (CN)) have seldom been studied. In this study, we chose simulated rainfall experiments on runoff plots (30 mm/h, 180 min; 60 mm/h, 90 min; 90 mm/h, 60 min) to obtain synchronized rainfall-runoff data and calculated the parameters using general model fitting and event analysis methods every ten minutes throughout the duration. The results indicate that the parameters changed with rainfall intensities and duration. S decreased as the rainfall intensities increased. Under the same rainfall intensity, the S increased with the duration overall. The corresponding λ changed with rainfall intensities and duration, and has no obvious relationship under different rainfall intensities. Initial abstraction in the event analysis method is the same as the actual situation and we chose these parameters obtained with the event analysis method as our selected parameters. These selected parameters and the parameters obtained using Fu et al.’s method which was based on the standardized procedure in NEH-630 were evaluated by the Nash–Sutcliffe efficiency (NSE), the percentage deviation coefficient (PBIAS), and the ratio of the root mean square error to the standard deviation of measured data (RSR). The results show that the statistics for the selected parameters satisfied the evaluating standard, and have a better value, while the statistics for the parameters obtained by Fu et al.’s method declined as the rainfall intensity increased, and PBAIS was out of the standard range under 90 mm/h rainfall intensity condition. This indicates that the rainfall intensities and duration have important effects on the parameters of the model, and the parameters vary dynamically with the rainfall intensity and duration. These results could be useful for hydrological design in which engineers consider the return period (i.e., rainfall intensities and duration).

Highlights

  • Rainfall-runoff simulation is the basis of hydrological and soil erosion models

  • Curve Number (NRCS-curve number (CN))) model based on rainfall events in the 1950s

  • The statistics for the parameters obtained by Fu et al.’s method declined as the rainfall intensity increased, Nash–Sutcliffe efficiency (NSE) from 0.95 to 0.67, PBIAS from −12.65 to 37.80, and RSR 0.22 to 0.63

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Summary

Introduction

Rainfall-runoff simulation is the basis of hydrological and soil erosion models. Curve Number (NRCS-CN)) model based on rainfall events in the 1950s. The model only contains two parameters: the initial abstraction ratio (λ) and the curve number (CN). Because the model is simple in structure, and can effectively predict the runoff, it has been applied to areas where there are no rainfall-runoff data. It has been promoted in many countries and regions, such as the United States, India, China, and the Mediterranean [4,5,6,7,8]

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