西南小流域洪峰流量估算.

[Objective] The aims of this study are to accurately predict the peak flow at small watershed scale, and to provide support for hydrological application and soil and water conservation assessment. [Methods] The data of 215 rainfall events from 2013 to 2021 were used to analyze effect factors of the peak flow in Liujiagou small watershed, Wanzhou County, Chongqing. The Pearson correlation analysis was performed between peak flow rate and effect factors, including runoff depth, runoff coefficient, rainfall depth, maximum 30-minute rainfall intensity(I30), and average rainfall intensity. A new peak flow rate equation was developed based on linear regression and nonlinear regression analysis to predict the peak flow rate for small watersheds in Chongqing. The first data set, including 172 storms, was used to develop a new formula for predicting peak flow rate. A second set of data, including 43 storm events, was used to test the new equation. [Results] The peak flow rate was significantly correlated with rainfall, I30, runoff depth, and runoff coefficient at the 0.01 confidence level. The model efficiency was 0.85 and 0.82 when 172 and 43 rainfall events were used, respectively. [Conclusion] The new equation can provide good accuracy in the small watershed in Chongqing. The new equation will be helpful for the decision-making of soil and water conservation measures, the design of soil and water conservation engineering facilities and the evaluation of soil erosion in Chongqing and even the small watersheds in southwest China. [ABSTRACT FROM AUTHOR]