Design Hydrographs in Small Watersheds from General Unit Hydrograph Model and NRCS-NOAA Rainfall Distributions

Guo, Junke

doi:10.1061/jhyeff.heeng-5942

Cited by 3 publications

(3 citation statements)

References 17 publications

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“…As time approaches infinity, the unit hydrograph tends to zero [30]. The equation for the instantaneous unit hydrograph is obtained through the superposition of multiple negative exponential functions [29,31]. It can be expressed as…”

Section: General Unit Hydrographmentioning

confidence: 99%

“…The concentration calculation equation of the general unit hydrograph is based on a negative exponential function, according to the calculation principle. The parameters, such as µ and m, partially reflect the watershed characteristics and control the amplitude of flood rise and fall [31]. The convergence of the Nash unit hydrograph is typically calculated using a gamma function with parameter n. When calculating runoff from the instantaneous unit hydrograph S curve, a table lookup is commonly used [43].…”

Section: Typical Site Flood Analysismentioning

confidence: 99%

“…However, Guo argued that the actual watershed concentration should predominantly occur in parallel [28]. Guo Junke developed a GUH model based on a negative exponential function distribution and utilized this model to simulate 10 actual watersheds located in the United States and the United Kingdom, and the simulation results demonstrated good performance [29][30][31].…”

Section: Introductionmentioning

confidence: 99%

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Study on a Hybrid Hydrological Forecasting Model SCE-GUH by Coupling SCE-UA Optimization Algorithm and General Unit Hydrograph

Liu

et al. 2023

Water

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Implementing real-time prediction and warning systems is an effective approach for mitigating flash flood disasters. However, there is still a challenge in improving the accuracy and reliability of flood prediction models. This study develops a hydrological prediction model named SCE-GUH, which combines the Shuffled Complex Evolution-University of Arizona optimization algorithm with the general unit hydrograph routing method. Our aims were to investigate the applicability of the general unit hydrograph in runoff calculations and its performance in predicting flash flood events. Furthermore, we examined the influence of parameter variations in the general unit hydrograph on flood simulations and conducted a comparative analysis with the conventional Nash unit hydrograph. The research findings demonstrate that the utilization of the general unit hydrograph method can considerably decrease computational errors and enhance prediction accuracy. The flood peak detection rate was found to be 100% in all four study watersheds. The average Nash–Sutcliffe efficiency coefficients were 0.83, 0.83, 0.84, and 0.87, while the corresponding coefficients of determination were 0.86, 0.85, 0.86, and 0.94, and the absolute errors of peak present time were 0.19 h, 0.40 h, 0.91 h, and 0.82 h, respectively. Moreover, the utilization of the general unit hydrograph method was found to significantly reduce the peak-to-current time difference, thereby enhancing simulation accuracy. Parameter variations have a substantial influence on peak flow characteristics. The SCE-GUH model, which incorporates the topographic and geomorphological features of the watershed along with the optimization algorithm, is capable of effectively characterizing the catchment properties of the watershed and offers valuable insights for enhancing the early warning and prediction of hydrological forecasting.

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Section: General Unit Hydrographmentioning

confidence: 99%

Section: Typical Site Flood Analysismentioning

confidence: 99%