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http://dx.doi.org/10.5389/KSAE.2019.61.4.011

Improvement of Cross-section Estimation Method for Flood Stage Analysis in Unmeasured Streams  

Jun, Sang Min (Department of Rural Systems Engineering, Seoul National University)
Hwang, Soon Ho (Department of Rural Systems Engineering, Seoul National University)
Song, Jung-Hun (Department of Agricultural and Biological Engineering & Tropical Research and Education Center, University of Florida)
Kim, Si Nae (Department of Rural Systems Engineering, Seoul National University)
Choi, Soon-Kun (Climate Change and Agroecology Division, National Institute of Agricultural Sciences)
Kang, Moon Seong (Department of Rural Systems Engineering, Research Institute for Agriculture and Life Sciences, Institute of Green Bio Science and Technology, Seoul National University)
Publication Information
Journal of The Korean Society of Agricultural Engineers / v.61, no.4, 2019 , pp. 11-22 More about this Journal
Abstract
The objective of this study was to improve the cross-sectional area and height estimation method using stream width. Stream water levels should be calculated together to simulate inundation of agricultural land. However, cross-sectional survey data of small rural rivers are insufficient. The previous study has developed regression equations between the width and the cross-sectional area and between the width and the height of stream cross-section, but can not be applied to a wide range of stream widths. In this study, cross-sectional survey data of 6 streams (Doowol, Chungmi, Jiseok, Gam, Wonpyeong, and Bokha stream) were collected and divided into upstream, midstream and downstream considering the locations of cross-sections. The regression equations were estimated using the complete data. $R^2$ between the stream width and cross-sectional area was 0.96, and $R^2$ between width and height was 0.81. The regression equations were also estimated using divided data for upstream, midstream and downstream considering the locations of cross-sections. The range of $R^2$ between the stream width and cross-sectional area was 0.86 - 0.91, and the range of $R^2$ between width and height was 0.79 ? 0.92. As a result of estimating the cross-sections of 6 rivers using the regression equations, the regression equations considering the locations of cross-sections showed better performance both in the cross-sectional area and height estimation than the regression equations estimated using the complete data. Hydrologic Engineering Center - River Analysis System (HEC-RAS) was used to simulate the flood stage analysis of the estimated and the measured cross-sections for 50-year, 100-year, and 200-year frequency floods. As a result of flood stage analysis, the regression equations considering the locations of cross-sections also showed better performance than the regression equations estimated using the complete data. Future research would be needed to consider the factors affecting the cross-sectional shape such as river slope and average flow velocity. This study can be useful for inundation simulation of agricultural land adjacent to an unmeasured stream.
Keywords
Unmeasured stream; stream cross-section; regression equation; HEC-RAS; flood stage analysis;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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