Development of the Nash instantaneous unit hydrograph to predict subsurface flow in catchments

Babaali, Hamidreza; Sabzevari, T.; Ghafari, S.

doi:10.1007/s11600-021-00638-x

Cited by 6 publications

(9 citation statements)

References 41 publications

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“…The NIUH and SCE-NIUH models were calculated using the Nash unit hydrograph method, which assumes linearity and time invariance in the watershed's response, treating the watershed as a sequence of linear reservoirs connected in series, depicted in Figure The NIUH and SCE-NIUH models were calculated using the Nash unit hydrograph method, which assumes linearity and time invariance in the watershed's response, treating the watershed as a sequence of linear reservoirs connected in series, depicted in Figure 5. The Nash unit hydrograph calculates the confluence using the gamma function distribution, which has emerged as one of the most frequently utilized methods for confluence calculation [22,41].…”

Section: Model Benchmarks and Methodsmentioning

confidence: 99%

“…r 2023, 15, x FOR PEER REVIEW 5. The Nash unit hydrograph calculates the confluence using the bution, which has emerged as one of the most frequently utilized calculation [22,41].…”

Section: Model Benchmarks and Methodsmentioning

confidence: 99%

“…In 1945, Clark examined the calculation method of the instantaneous unit hydrograph, which was based on research conducted by Sherman, Zoch, and other researchers; however, an accurate mathematical expression was not obtained at that time [18][19][20]. It was not until 1957 that Nash summarized the method of time conversion and derived the equation for the unit hydrograph [21,22]. In 1997, Gupat and other researchers integrated the topographic distribution characteristics of the watershed to develop the geomorphic unit hydrograph [23,24].…”

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: Model Benchmarks and Methodsmentioning

confidence: 99%

“…r 2023, 15, x FOR PEER REVIEW 5. The Nash unit hydrograph calculates the confluence using the bution, which has emerged as one of the most frequently utilized calculation [22,41].…”

Section: Model Benchmarks and Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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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“…Nash´s model of the Instantaneous Unit Hydrograph (IUH) is one of the most efficient conceptual rainfallrunoff models, used to predict direct runoff resulting from occurring storms over the watershed [3], where its parameters (number of reservoirs (n) and storage coefficients (k)) describe the Instantaneous Unit Hydrograph shape. The derivation of the Nash Instantaneous Unit Hydrograph has been addressed by many researchers, such as [4][5][6][7][8][9][10][11]. Nash model parameters are significant in estimating the instantaneous unit hydrograph and are determined based on the recorded rainfall-runoff gauged watersheds.…”

Section: Introductionmentioning

confidence: 99%

Developing an Empirical Relations between Nash Model Parameters and Watersheds Topographical Characteristics for Predicting Direct Runoff Hydrograph

Khidir

2023

Tikrit j. eng. sci.

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The limited availability of the recorded rainfall-runoff data for many watersheds restricts the development and management of different activities of water resources. To overcome this limitation, the Natural Resources Conservation Service (NRCS) for estimating storm excess rainfall and momentum and optimization methods were combined in a mathematical model to estimate the optimal parameters of Nash Instantaneous unit hydrograph (IUH) and resulting direct runoff hydrograph (DRH), using a developed computer program in MATLAB. The available recorded data of 14 storms (out of 18) of four watersheds in northern Iraq have been applied in the calibration stage. An empirical relationship was developed between the average of each IUH optimal parameter (obtained by optimization as an optimal method according to the applied tests) and the effective watershed topographical characteristics. The developed empirical relations were used in the verification stage to estimate the IUH parameters and DRH for the verification storms and compare with that resulted from Haan’s empirical relations and optimization method. The statistical tests showed that the developed empirical relations efficiency was better than that of Haan’s method and close to that of the recorded storm by optimization method, where the average value of the Nash-Sutcliffe Efficiency for the four watersheds resulted from applying the optimization method, Haan’s method and the developed empirical relations were 0.925, 0.587, 0.883 respectively. The results indicated the developed model’s ability to estimate the IUH and direct runoff hydrograph for ungauged watersheds in northern Iraq.

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“…This model uses a concept of a watershed described as a cascade of linear reservoirs of number (n), each with a storage constant (k). The derivation of the Nash Instantaneous Unit Hydrograph has been addressed by many researchers [4][5][6][7][8][9][10][11][12]. According to the Nash model parameters' significant importance in estimating the instantaneous unit hydrograph, various researchers studied its effect and proposed different relationships for estimating [13][14][15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Storms Direct Runoff Prediction Methods used for Goizha-Dabashan Watershed

Khidir

2023

Tikrit j. eng. sci.

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The Momentum and Aron & White evaluating methods have been adopted to estimate the Nash Instantaneous Hydrograph parameters (IUH), while the two methods of excess rainfall (Ф-index and Natural Resources Conservation Service (NRCS) were applied in a model using a developed computer program in MATLAB to predict the direct runoff hydrograph for Goizha-Dabashan watershed located in the northeast of Iraq. In the verification stage, both Nash IUH optimal parameters of the storms and the average optimal values of the same parameters estimated in the calibration stage were applied and compared. The statistical tests showed a preference for the NRCS method with the momentum method in estimating direct runoff hydrograph (the average Nash-Sutcliffe Efficiency (NSE) was equal to 0.815 and 0.77 using optimal parameters verification storms and the average calibrated IUH parameters values, respectively). Also, satisfactory results (NSE was equal to 0.77 and 0.76 using storm parameters and the average calibrated IUH parameters values, respectively) were obtained by applying Aron & White with the NRCS methods, which indicated the ability of both methods for estimating direct runoff hydrograph.

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Development of the Nash instantaneous unit hydrograph to predict subsurface flow in catchments

Cited by 6 publications

References 41 publications

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

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

Developing an Empirical Relations between Nash Model Parameters and Watersheds Topographical Characteristics for Predicting Direct Runoff Hydrograph

Evaluation of the Storms Direct Runoff Prediction Methods used for Goizha-Dabashan Watershed

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