DOI QR코드

DOI QR Code

국내 하천 형상을 반영한 SWAT 모형 내 하천폭 및 홍수터폭 산정 회귀식 도출

Derivation of Channel and Floodplain Width Regression Reflecting Korean Channel Shapes in SWAT Model

  • Lee, Hyeon-Gu (Department of Regional Infrastructure Engineering, Kangwon National University) ;
  • Han, Jeongho (Department of Regional Infrastructure Engineering, Kangwon National University) ;
  • Lee, Dongjun (Department of Regional Infrastructure Engineering, Kangwon National University) ;
  • Lim, Kyoung-Jae (Department of Regional Infrastructure Engineering, Kangwon National University) ;
  • Kim, Jonggun (Institute of Agricultural and Life Science, Kangwon National University)
  • 투고 : 2018.12.14
  • 심사 : 2019.06.07
  • 발행 : 2019.07.31

초록

In this study, the channel and floodplain widths are indirectly measured for three different watersheds using satellite images to reflect the shape of Korean channels in the Soil and Water Assessment Tool (SWAT) model. For measuring the channel and floodplain widths, multiple satellite images were referred to ensure the widest width of certain points. In the single channel, the widths at the multiple points were measured. Based on the measured data, the regression equations were derived to estimate the channel and floodplain widths according to watershed areas. Applying these developed equations, this study evaluated the effect of the change of channel and floodplain widths on the SWAT simulation by comparing to the measured streamflow data. The developed equations estimated larger channel width and smaller floodplain compared with those calculated in the current SWAT model. As shown in the results, there was no considerable changes in the predicted streamflow using the current and developed equations. However, the flow velocity and channel depth calculated from the developed equations were smaller than those of the current equations. The differences were caused by the effect of different channel geometries used for calculating the hydraulic characteristics. The channel geometries also affected the water quality simulation in channels because the hydraulic characteristics calculated by the channel geometries are directly related to the water quality simulation. Therefore, application of the river cross-sectional regression equation reflecting the domestic stream shape is necessary for accurate water quantity / quality and water ecosystem simulation using hydrological model.

키워드

NGHHCI_2019_v61n4_33_f0001.png 이미지

Fig. 1 Locations of study areas (three watersheds for channel width measurements (a)~(c) and one watershed for swat model application (d))

NGHHCI_2019_v61n4_33_f0002.png 이미지

Fig. 2 Landuse Maps for study areas

NGHHCI_2019_v61n4_33_f0003.png 이미지

Fig. 3 Landuse, Soil and Watershed Maps for Ju-cheon watershed

NGHHCI_2019_v61n4_33_f0004.png 이미지

Fig. 4 Measurement method of channel and floodplain widths using satellite image

NGHHCI_2019_v61n4_33_f0005.png 이미지

Fig. 5 Comparison of current and newly developed regression equations for estimating (a) channel and (b) floodplain widths

NGHHCI_2019_v61n4_33_f0006.png 이미지

Fig. 6 Comparison of (a) bankfull width and (b) floodplain width estimated by the current and newly developed regression equations for Jucheon watershed

NGHHCI_2019_v61n4_33_f0007.png 이미지

Fig. 7 Comparison of (a) water depth and (b) flow velocity estimated by current and newly developed regression equations for Ju-cheon watershed

NGHHCI_2019_v61n4_33_f0008.png 이미지

Fig. 8 Comparison of suspended solid estimated by current and newly developed regression equations for Ju-cheon watershed

Table 1 Analysis landuse at study areas

NGHHCI_2019_v61n4_33_t0001.png 이미지

Table 2 Analysis slope at study areas

NGHHCI_2019_v61n4_33_t0002.png 이미지

참고문헌

  1. Allen, P. M., J. G. Arnold, and B. W. Byars, 1994. Downstream channel geometry for use in planning-level models. Journal of the American Water Resources Association 30(4): 663-671. doi:10.1111/j.1752-1688.1994.tb03321.x.
  2. Ames, D. P., E. B. Rafn, R. Van Kirk, and B. Crosby, 2009. Estimation of stream channel geometry in Idaho using GIS-derived watershed characteristics. Environmental Modelling & Software 24(3): 444-448. doi:10.1016/j.envsoft.2008.08.008.
  3. Arnold, J. G., R. Srinivasan, R. S. Muttiah, and J. R. Williams, 1998. Large area hydrologic modeling and assessment part I: model development. JAWRA Journal of the American Water Resources Association 34(1): 73-89. doi:10.1111/j.1752-1688.1998.tb05961.x.
  4. Choi, B. W., H. S. Kang, and W. H. Lee, 2018. Baseflow contribution to streamflow and aquatic habitats using physical habitat simulations. Water 10(10): 1304. doi: 10.3390/w10101304.
  5. Cinotto, P. J., 2003. Development of regional curves of bankfull-channel geometry and discharge for streams in the non-urban piedmont physiographic province, Pennsylvania and Maryland. Water Resources Investigations Report 3: 4014. doi:10.3133/wri034014.
  6. Hanson, P. J., and J. F. Weltzin, 2000. Drought disturbance from climate change: response of United States forests. Science of the total environment 262(3): 205-220. doi:10.1016/S0048-9697(00)00523-4.
  7. Hur, J. W., and J. K. Kim, 2009. Assessment of riverine health condition and estimation of optimal ecological flowrate considering fish Habitat in downstream of Yongdam Dam. Journal of Korea Water Resources Association 42(6): 481-491 (in Korean). doi:10.3741/JKWRA.2009.42.6.481.
  8. Jang, J. H., and J. H. Ahn, 2012. Hydrologic and water quality responses to precipitation extremes in Nakdong River Basin. Journal of Korea Water Resources Association 45: 1081-1091 (in Korean). doi:10.3741/JKWRA.2012.45.11.1081.
  9. Ko, J. W., H. J. Baek, and W. T. Kwon, 2005. The characteristics of precipitation and regionalization during rainy season in Korea. Asia-Pacific Journal of Atmospheric Sciences 41(1): 101-114 (in Korean).
  10. Kwon, W. T., 2005. Current status and perspectives of climate change sciences. Asia-Pacific Journal of Atmospheric Sciences 41(2-1): 325-336 (in Korean).
  11. Leopold, L. B., and T. Maddock, 1953. The hydraulic geometry of stream channels and some physiographic implications, U.S. Geological Survey Professional Paper 252.
  12. Neitsch, S. L., J. G. Arnold, J. R. Kiniry, and J. R. Williams, 2011. Soil and water assessment tool theoretical documentation version 2009. Texas Water Resources Institute.
  13. Shin, S. B., S. M. Jun, J. H. Song, K. Kim, J. H. Ryu, J. Park, D. G. Lee, K. D. Lee, and M. S. Kang, 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.