Analysis of Flood Peak Discharge Based on Watershed Shape Factors

Regression analysis can develop unit hydrograph modeling by approaching the peak discharge (Qp) and time to peak (Tp) parameters. The main aim of this study is to design a model of peak discharge based on watershed shape factors. The watersheds used in this study are Bontojai Watershed, Jonggoa Wate...

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Bibliographic Details
Published in:Civil and environmental science journal 2022-04, Vol.5 (1), p.8-16
Main Authors: Muhadi, Muhadi, Limantara, Lily, Prayogo, Tri
Format: Article
Language:English
Subjects:
observed hydrographs
peak discharge
regression
shape factor
Online Access:Get full text
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Summary:Regression analysis can develop unit hydrograph modeling by approaching the peak discharge (Qp) and time to peak (Tp) parameters. The main aim of this study is to design a model of peak discharge based on watershed shape factors. The watersheds used in this study are Bontojai Watershed, Jonggoa Watershed, Kampili Watershed, Maccini Sombala Watershed, and Jenelata Watershed, which have slopes criteria below 10% and have complete recorded data of Automatic Water Level Recorder (AWLR) and Automatic Rainfall Recorder (ARR). The validation results of corrected peak discharge data produce Root Mean Squared Error (RMSE). Then, the peak discharge model was conducted by regression analysis and validated with observed unit hydrographs. The results of this study indicate that the coefficient of determination R2 is 0.963. It means that the independent variable (x), namely the area of the watershed, the length of the main river, and the shape factor of the watershed, influences the peak discharge (Qp) of 96.3%
ISSN:2620-6218
2620-6218
DOI:10.21776/ub.civense.2022.00501.2