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Open AccessArticle

Stream Flow Generation for Simulating Yearly Bed Change at an Ungauged Stream in Monsoon Region

1
Smart Platform Team on AST Co., Ltd., Hwaseong 18453, Korea
2
Department of Civil Engineering, Sangji University, Wonju 26339, Korea
3
Research Team on Ecological and Natural Map, National Institute of Ecology, Seocheon 33657, Korea
*
Author to whom correspondence should be addressed.
Academic Editors: Tullio Tucciarelli, Francesco Macchione, Carlo Gualtieri, Giorgio Rosatti and Silvia Barbetta
Water 2021, 13(4), 554; https://doi.org/10.3390/w13040554
Received: 12 January 2021 / Revised: 19 February 2021 / Accepted: 19 February 2021 / Published: 22 February 2021
(This article belongs to the Special Issue Shallow Water Modeling)
The stream flow generation method is necessary for predicting yearly bed change at an ungauged stream in Monsoon region where there is no hydrologic and hydraulic information. This study developed the stream flow generation method of daily mean flow for each month over a year for bed change simulation at an ungauged stream. The hydraulic geometries of cross-sections and the corresponding bankfull indicators of the Byeongseong river of 4 km reach were analyzed to estimate the bankfull discharge. The estimated bankfull discharge of the target reach was 77.50 m3/s, and the total annual discharge estimated 3720 m3/s through the correlation equation with the bankfull discharge. The measured total annual discharge of the Byeongseong river was 3887.30 m3/s, which is greater by 167.30 m3/s of 4.3% relative error. The volume and bed changes over a year by the Center for Computational Hydroscience and Engineering Two-Dimension (CCHE2D) model simulated using the measured discharge during 2013 and 2014 coincided with the surveyed in the same period. Estimated total annual discharge was used for the scenarios of stream flow generation. The generated stream flow using the flow apportioned to each month on the basis of the flow percentage in an adjacent stream simulated the river bed most appropriately. The generated stream flow using the flow based on the monthly rainfall percentage of the rainfall station in the target stream basin also simulated river bed well, which is confirmed as an alternative. Quantitatively, the root mean square error (RMSE), mean bias error (MBE), and mean absolute percentage error (MAPE) in-depth change of thalweg between the measured and the simulated were found to be 0.25 m, 0.04 m, and 0.44%, respectively. The result of the simulated cross-sectional river bed change for target reach coincided well with the surveyed. The proposed method is highly applicable to generate the stream flow for analyzing the yearly bed change at an ungauged stream in Monsoon region. View Full-Text
Keywords: stream flow generation; bankfull discharge; total annual discharge; ungauged stream; Monsoon region stream flow generation; bankfull discharge; total annual discharge; ungauged stream; Monsoon region
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MDPI and ACS Style

Lee, W.H.; Choi, H.S.; Lee, D.; Choi, B. Stream Flow Generation for Simulating Yearly Bed Change at an Ungauged Stream in Monsoon Region. Water 2021, 13, 554. https://doi.org/10.3390/w13040554

AMA Style

Lee WH, Choi HS, Lee D, Choi B. Stream Flow Generation for Simulating Yearly Bed Change at an Ungauged Stream in Monsoon Region. Water. 2021; 13(4):554. https://doi.org/10.3390/w13040554

Chicago/Turabian Style

Lee, Woong H.; Choi, Heung S.; Lee, Dongwoo; Choi, Byungwoong. 2021. "Stream Flow Generation for Simulating Yearly Bed Change at an Ungauged Stream in Monsoon Region" Water 13, no. 4: 554. https://doi.org/10.3390/w13040554

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