典型黑土区坡耕地次产流径流曲线数计算方法

doi:10.16843/j.sswc.2021.01.004

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Abstract [Background] Accurate prediction of surface runoff is crucial for the simulation of soil erosion and non-point source pollution. The soil conservation service curve number (SCS-CN) model has a simple structure and fewer required parameters, and is thus widely used to predict surface runoff. In various storm events, even for the unchanged land use and management, the parameter-curve number (CN) varies over a wide range, and the lack of understanding of rainfall processes and their influence on runoff may cause the simulated deviations. Moreover, the application of SCS-CN model for runoff prediction of the Typical Black Soil Region in China is limited. [Methods] Therefore, our study intended to optimize the SCS-CN model simulation for the Typical Black Soil Region by proposing a SCS-CN calculation method for each runoff event (CN_t) based on observation data for 138 rainfall and runoff events from 7 plots in the Hebei watershed. And the rainfall intensity degree over time during the rainfall process was applied to calculated CN_t. Nash-Sutcliffe efficiency (E_f), correlation coefficient (R), and mean relative error (R_e) were used in the examination of simulation results that were calculated by CN_t. [Results] The ratio for the maximum to minimum CN_t value for different plots varied from 1.38-2.24, with an average of 1.81. This study elucidated a significant positive correlation between the ratio of CN_t and the average SCS-CN (CN), as well as the ratio of the maximum X-minute rainfall amount (P_X) to the total rainfall amount for each rainfall event (P). The ratio of curve number for each rainfall event to the annual mean curve number(CN_t/CN)significantly increased with the ratio of maximum X-minute rainfall to total rainfall(P_X/P)for the events. When 10≤X≤40, the correlation coefficient between(CN_t/CN)and (P_X/P)was higher, and(P₁₀/P)was the most significant factor which represented the character of rainfall process that influenced the variation of CN_t. The equation for calculating CN_t was established based on the logarithmic function between(CN_t/CN)and(P₁₀/P). Moreover, the present study provided the parameters for cropland and bare land. For cropland with longitudinal ridge tillage and bare land, rills were easily formed on exposed surfaces during rainfall events, which facilitated the formation of a more stable convection path. For the calculated runoff depth by SCS-CN model with the parameter of CN_t, E_f was 0.47, R was 0.77, and R_e was -18.9%. The E_f for the SCS-CN model with the parameter of CN was only -1.63. [Conclusions] Adoption of a SCS-CN calculation method for each runoff event(CN_t) may improve the prediction performance for SCS-CN model in the Typical Black Soil Region in China.

Key words： soil conservation service-curve number model curve number for each runoff event multi-year averaged curve number Typical Black Soil Region

Received: 18 November 2019

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S157.1

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	LIU Gang
	XING Wanjun
	JIAO Jian

Cite this article:

LIU Gang,XING Wanjun,JIAO Jian. A method for calculating curve number of each runoff event on a sloping cropland in the Typical Black Soil Region[J]. SSWC, 2021, 19(1): 28-34.

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http://journal12.magtechjournal.com/Jweb_stbc/EN/10.16843/j.sswc.2021.01.004 OR http://journal12.magtechjournal.com/Jweb_stbc/EN/Y2021/V19/I1/28

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