Modification of Snyder Synthetic Unit Hydrograph Model

Riman, M. Bisri, Pitojo Tri Juwono, Aniek Masrevaniah

Abstract

This study intends to modify the Snyder Synthetic Unit Hydrograph (SUH) model. There are two physical parameters, Ct and Cp in Snyder SUH, which are coefficients that depend on watershed characteristics. In the original model, the values of Ct and Cp must be empirically determined according to the watershed condition. However, this research was conducted in 10 watersheds in Indonesia, which must have an Automatic Rainfall Recorder (ARR) and an Automatic Water Level Recorder (AWLR). The methodology consists of 1) finding the relation between input variables for determining the multi-co-linearity between the variables; 2) to find the relation between input and output variables; 3) to analyze by using multiple linear regression by using Partial Least Square-Structural Equation Model (PLS-SEM) and Artificial Neural Network (ANN); 4) to evaluate the regression value for determining whether the regression equation has good performance in presenting the input variables; 5) to obtain the model with a new constant in accordance with the watershed condition in the research location; and 6) to carry out model validation and verification. The modification result of the Snyder SUH model is as follows: Tp = Ct. Lc0.325 (R2 = 89.3%); Ct = 0.680 (Wr0.153 / S0.143); Qp= Cp. (1 / Tp2.969) (R2 = 91.6%); Cp = 0.537 K1.624; Tb = 3.919 A0.569 / Qp0.562 (R2 = 72.7%).

 

Keywords: Snyder synthetic unit hydrograph; regression; partial least square-structural equation model; artificial neural network

 

https://doi.org/10.55463/issn.1674-2974.51.10.9


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