미계측 하천의 홍수위 해석을 위한 단면 추정 기법 개선
Improvement of Cross-section Estimation Method for Flood Stage Analysis in Unmeasured Streams
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The objective of this study was to improve the cross-sectional area and height estimation method using stream width. Stream water levels should becalculated together to simulate inundation of agricultural land. However, cross-sectional survey data of small rural rivers are insufficient. The previousstudy 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. Theregression equations were estimated using the complete data. R2 between the stream width and cross-sectional area was 0.96, and R2 between widthand height was 0.81. The regression equations were also estimated using divided data for upstream, midstream and downstream considering the locationsof cross-sections. The range of R2 between the stream width and cross-sectional area was 0.86 - 0.91, and the range of R2 between width and heightwas 0.79 ? 0.92. As a result of estimating the cross-sections of 6 rivers using the regression equations, the regression equations considering the locationsof cross-sections showed better performance both in the cross-sectional area and height estimation than the regression equations estimated using thecomplete data. Hydrologic Engineering Center - River Analysis System (HEC-RAS) was used to simulate the flood stage analysis of the estimated andthe measured cross-sections for 50-year, 100-year, and 200-year frequency floods. As a result of flood stage analysis, the regression equationsconsidering the locations of cross-sections also showed better performance than the regression equations estimated using the complete data. Futureresearch would be needed to consider the factors affecting the cross-sectional shape such as river slope and average flow velocity. This study can beuseful for inundation simulation of agricultural land adjacent to an unmeasured stream.
Abstract
The objective of this study was to improve the cross-sectional area and height estimation method using stream width. Stream water levels should becalculated together to simulate inundation of agricultural land. However, cross-sectional survey data of small rural rivers are insufficient. The previousstudy 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. Theregression equations were estimated using the complete data. R2 between the stream width and cross-sectional area was 0.96, and R2 between widthand height was 0.81. The regression equations were also estimated using divided data for upstream, midstream and downstream considering the locationsof cross-sections. The range of R2 between the stream width and cross-sectional area was 0.86 - 0.91, and the range of R2 between width and heightwas 0.79 ? 0.92. As a result of estimating the cross-sections of 6 rivers using the regression equations, the regression equations considering the locationsof cross-sections showed better performance both in the cross-sectional area and height estimation than the regression equations estimated using thecomplete data. Hydrologic Engineering Center - River Analysis System (HEC-RAS) was used to simulate the flood stage analysis of the estimated andthe measured cross-sections for 50-year, 100-year, and 200-year frequency floods. As a result of flood stage analysis, the regression equationsconsidering the locations of cross-sections also showed better performance than the regression equations estimated using the complete data. Futureresearch would be needed to consider the factors affecting the cross-sectional shape such as river slope and average flow velocity. This study can beuseful for inundation simulation of agricultural land adjacent to an unmeasured stream.
참고문헌 (20)
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