Journal of The Korean Society of Agricultural Engineers (한국농공학회논문집)

The Korean Society of Agricultural Engineers (한국농공학회)
권호 표지
DOI QR코드

DOI QR Code

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

미계측 하천의 홍수위 해석을 위한 단면 추정 기법 개선

  • 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)
  • Received : 2019.03.07
  • Accepted : 2019.05.22
  • Published : 2019.07.31
Download PDF
⟨ Previous Next ⟩

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

NGHHCI_2019_v61n4_11_f0001.png 이미지

Fig. 1 Schematic diagram of this study

NGHHCI_2019_v61n4_11_f0002.png 이미지

Fig. 2 Locations of selected streams in this study

NGHHCI_2019_v61n4_11_f0003.png 이미지

Fig. 3 Regression equations between cross-section characterstics

NGHHCI_2019_v61n4_11_f0004.png 이미지

Fig. 4 Regression equations between cross-section characterstics (Shin et al., 2016)

NGHHCI_2019_v61n4_11_f0005.png 이미지

Fig. 5 Scatter plots comparing measured and estimated cross-section characteristics (Doowol stream)

NGHHCI_2019_v61n4_11_f0006.png 이미지

Fig. 6 Regression equation between stream width and cross-sectional area considering locations of cross-sections

NGHHCI_2019_v61n4_11_f0007.png 이미지

Fig. 7 Regression equation between stream width and height considering locations of cross-sections

NGHHCI_2019_v61n4_11_f0008.png 이미지

Fig. 8 Scatter plots comparing measured and estimated cross-section characteristics considering locations of cross-sections (Doowol stream)

NGHHCI_2019_v61n4_11_f0009.png 이미지

Fig. 9 Scatter plots of water surface elevations between measured and estimated cross-sections by 50-year, 100-year and 200-year frequency floods (Doowol and Cungmi stream)

NGHHCI_2019_v61n4_11_f0010.png 이미지

Fig. 10 Scatter plots of water surface elevations between measured and estimated cross-sections considering locations of cross-sections by 50-year, 100-year and 200-year frequency floods (Doowol and Cungmi stream)

Table 1 Characteristics of cross-sections in 6 streams

NGHHCI_2019_v61n4_11_t0001.png 이미지

Table 2 Design floods of different frequency on Doowol stream (m3/s)

NGHHCI_2019_v61n4_11_t0002.png 이미지

Table 3 Equations for statistical performance measures

NGHHCI_2019_v61n4_11_t0003.png 이미지

Table 5 Statistical variances between measured and estimated cross-section characteristics of 6 streams (Doowol, Chungmi, Jiseok, Gam, Wonpyeong, and Bokha)

NGHHCI_2019_v61n4_11_t0004.png 이미지

Table 6 Statistical variances between measured and estimated cross-section characteristics of 6 streams (Doowol, Chungmi, Jiseok, Gam, Wonpyeong, and Bokha) considering locations of cross-sections

NGHHCI_2019_v61n4_11_t0005.png 이미지

Table 7 Variances of water surface elevations between measured and estimated cross-sections for 6 streams (Doowol, Chungmi, Jiseok, Gam, Wonpyeong, and Bokha) by 50-year, 100-year and 200-year frequency floods

NGHHCI_2019_v61n4_11_t0006.png 이미지

Table 8 Variances of water surface elevations between measured and estimated cross-sections considering locations of cross-sections for 6 streams (Doowol, Chungmi, Jiseok, Gam, Wonpyeong, and Bokha) by 50-year, 100-year and 200-year frequency floods

NGHHCI_2019_v61n4_11_t0007.png 이미지

References

  1. Cho, W. H., K. Y. Han, H. S. Kim, and J. S. Kim, 2015. A Study on inundation analysis considering inland and river flood. Journal of the Korean Association of Geographic Information Studies 18(1): 74-89 (in Korean). doi:10.11108/kagis.2015.18.1.074.
  2. Choi, N. I., 2009. GIS based spatial interpolation method for the reconstruction of river channel. Ph. D. Diss., Jeonju, Republic of Korea: Chonbuk National University (in Korean).
  3. Choi, N. I., and G. S. Cho, 2008. Generating random cross-section of river channel using bilinear interpolation method. Journal of Korean Society for Geospatial Information System 16(3): 105-110 (in Korean).
  4. Gichamo, T. Z., I. Popescu, A. Jonoski, and D. Solomatine, 2012. River cross-section extraction from the ASTER global DEM for flood modeling. Environmental Modelling & Software 31: 37-46. doi:10.1016/j.envsoft.2011.12.003.
  5. Gimje-si, 2013. Master plan reports of Doowol stream (in Korean).
  6. Jun, S. M., J. H. Song, S. K. Choi, K. D. Lee, and M. S. Kang, 2018. Combined 1D/2D inundation simulation of riverside farmland using HEC-RAS. Journal of the Korean Society of Agricultural Engineers 60(5): 135-147 (in Korean). doi:10.5389/KSAE.2018.60.5.135.
  7. Jun, S. M., M. S. Kang, I. Song, S. H. Hwang, K. U. Kim, and J. Park, 2013. Effects of agricultural reservoir rehabilitation on their flood control capacities. Journal of the Korean Society of Agricultural Engineers 55(6): 57-68 (in Korean). doi:10.5389/KSAE.2013.55.6.057.
  8. Kang, M. G., 2014. Modeling system for unsteady flow simulations in drainage channel networks of paddy field districts. Journal of the Korean Society of Agricultural Engineers 56(2): 1-9 (in Korean). doi:10.5389/KSAE.2014.56.2.001.
  9. Kim, J. J., 2001. Calculating represent river cross section using GIS. Master Diss., Changwon, Republic of Korea: Changwon National University (in Korean).
  10. Lee, J. Y., G. S. Lee, and S. R. Ha. 2010. An analysis of changing river sections using GIS spatial analysis - Nonsan river -. Journal of Environmental Impact Assessment 19(1): 91-97 (in Korean).
  11. Ministry of Land, Infrastructure, and Transport (MOLIT), 2009. Master plan reports of Youngsan river (in Korean).
  12. Ministry of Land, Infrastructure, and Transport (MOLIT), 2011a. Master plan reports of Bokha stream (in Korean).
  13. Ministry of Land, Infrastructure, and Transport (MOLIT), 2011b. Master plan reports of Cheongmi stream (in Korean).
  14. Ministry of Land, Infrastructure, and Transport (MOLIT), 2011c. Master plan reports of Dongjin river and other 3 national rivers (in Korean).
  15. Ministry of Land, Infrastructure, and Transport (MOLIT), 2016. Master plan reports of Gam stream (in Korean).
  16. Mohamoud, Y. M., 2007. Enhancing hyrdological simulation program - FORTRAN model channel hydraulic representation. Journal of the American Water Resources Association 43(5): 1280-1292. doi:10.1111/j.1752-1688.2007.00113.x.
  17. Mohamoud, Y. M., and R. S. Parmar, 2006. Estimating streamflow and associated hydraulic geometry, the Mid-Atlantic Region, USA. Journal of the American Water Resources Association 42(3): 755-768. doi:10.1111/j.1752-1688.2006.tb04490.x.
  18. Pramanik, N., R. K. Panda, and D. Sen, 2010. One dimensional hydrodynamic modeling of river flow using DEM extracted river cross-sections. Water Resources Management 24(5): 835-852. doi:10.1007/s11269-009-9474-6.
  19. Shin, S. B., M. S. Kang, S. M. Jun, J. H. Song, K. U. Kim, J. H. Ryu, J. Park, D. G. Lee, and K. D. Lee, 2016. Estimating ungauged river section for flood stage analysis. Journal of the Korean Society of Agricultural Engineers 58(5): 11-18 (in Korean). doi:10.5389/KSAE.2016.58.5.011.
  20. Zhang, Y., C. Xian, H. Chen, M. L. Grieneisen, J. Liu, and M. Zhang, 2016. Spatial interpolation of river channel topography using the shortest temporal distance. Journal of Hydrology 542: 450-462. doi:10.1016/j.jhydrol.2016.09.022.