Journal of Soil and Groundwater Environment (한국지하수토양환경학회지:지하수토양환경)

Korean Society of Soil and Groundwater Environment (한국지하수토양환경학회)
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Estimation of Stream Discharge using Antecedent Precipitation Index Models in a Small Mountainous Forested Catchment: Upper Reach of Yongsucheon Stream, Gyeryongsan Mountain

산악 산림 소유역에서 선행강우지수를 이용한 하천유량 추정: 계룡산 용수천 상류

  • Jung, Youn-Young (Groundwater and Ecohydrology Research Center, Korea Institute of Geoscience and Mineral Resources (KIGAM)) ;
  • Koh, Dong-Chan (Groundwater and Ecohydrology Research Center, Korea Institute of Geoscience and Mineral Resources (KIGAM)) ;
  • Han, Hye-Sung (Gyeryong National Park, Korea National Park Service) ;
  • Kwon, Hong-Il (University of Science & Technology) ;
  • Lim, Eun-Kyung (Gyeryong National Park, Korea National Park Service)
  • 정윤영 (한국지질자원연구원 지하수생태연구센터) ;
  • 고동찬 (한국지질자원연구원 지하수생태연구센터) ;
  • 한혜성 (국립공원관리공단 계룡산사무소) ;
  • 권홍일 (과학기술연합대학원대학교) ;
  • 임은경 (국립공원관리공단 계룡산사무소)
  • Received : 2016.08.05
  • Accepted : 2016.09.27
  • Published : 2016.12.31
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Abstract

Variability in precipitation due to climate change causes difficulties in securing stable surface water resource, which requires understanding of relation between precipitation and stream discharge. This study simulated stream discharge in a small mountainous forested catchment using antecedent precipitation index (API) models which represent variability of saturation conditions of soil layers depending on rainfall events. During 13 months from May 2015 to May 2016, stream discharge and rainfall were measured at the outlet and in the central part of the watershed, respectively. Several API models with average recession coefficients were applied to predict stream discharge using measured rainfall, which resulted in the best reflection time for API model was 1 day in terms of predictability of stream discharge. This indicates that soil water in riparian zones has fast response to rainfall events and its storage is relatively small. The model can be improved by employing seasonal recession coefficients which can consider seasonal fluctuation of hydrological parameters. These results showed API models can be useful to evaluate variability of streamflow in ungauged small forested watersheds in that stream discharge can be simulated using only rainfall data.

Keywords

References

  1. Alexander, R.B., Boyer, E.W. Smith, R.A., Schwarz, G.E., and Moore, R.B., 2007, The role of headwater streams in downstream water quality, J. Am. Water Resour. Assoc., 43(1), 41-59. https://doi.org/10.1111/j.1752-1688.2007.00005.x
  2. Bae, D.-H., Jung, I.-W., and Chang, H., 2008, Long-term trend of precipitation and runoff in Korean river basins, Hydrol. Process., 22(14), 2644-2656. https://doi.org/10.1002/hyp.6861
  3. Barros, A.P. and Kuligowski, R.J., 1997, Orographic effects during a severe wintertime rainstorm in the Appalachian mountains, Mon. Wea. Rev., 126(10), 2648-2672. https://doi.org/10.1175/1520-0493(1998)126<2648:OEDASW>2.0.CO;2
  4. Bernier, P.Y., 1985, Variable source areas and storm-flow generation: an update of the concept and a simulation effort, J. Hydrol., 79(3), 195-213. https://doi.org/10.1016/0022-1694(85)90055-1
  5. Brooca, L., Melone, F., and Moramarco, T., 2005, Empirical and conceptual approaches for soil moisture estimation in view of event-based rainfall-runoff modeling. IHP-VI Technical Documents in Hydrology 77, 1-8.
  6. Cho, S.-H., Ha, K., Kim, T., Cheon, S.-H., and Song, M.-Y., 2007, Hydrograph separation for two consecutive rainfall events using tracers (${\delta}^{18}O$ & Cl). J. Geol. Soc. Korea, 43(2), 253-263.
  7. Descroix, L., Nouvelot, J. F., and Vauclin, M., 2002, Evaluation of an antecedent precipitation index to model runoff yield in the western Sierra Madre (North-west Mexico), J. Hydrol., 263(1), 114-130. https://doi.org/10.1016/S0022-1694(02)00047-1
  8. Detty, J.M. and McGuire, K., 2010, Threshold changes in storm runoff generation at a till-mantled headwater catchment, Water Resour. Res., 46(7), W10543, doi:10.1029/2010WR009341.
  9. Eckhardt, K., 2005, How to construct recursive digital filters for baseflow separation, Hydrol. Process., 19(2), 507-515. https://doi.org/10.1002/hyp.5675
  10. Fedora, M.A. and Beschta, R.L., 1989, Storm runoff simulation using an antecedent precipitation index (API) model, J. Hydrol., 112(1), 121-133. https://doi.org/10.1016/0022-1694(89)90184-4
  11. Garstka, W.V., Love, L.D., Goodel, B.C., and Bertle, F.A., 1958, Section 7--Recession analyses. In: Factors Affecting Snowmelt and Streamflow, USDA Forest Service, Rocky Mountain Forest and Range Experiment Station, Ft. Collins, Colo., 63-70.
  12. Gwak, Y.-S., Kim, S.-J., Lee, E.-H., Hamm, S.-Y., and Kim, S.H., 2016, Soil water storage and antecedent precipitation index at gwangneung humid-forested hillslope, Korea J. Agr. For. Meteorol., 18(1), 30-41. https://doi.org/10.5532/KJAFM.2016.18.1.30
  13. Heller, K. and Kleber, A. 2016, Hillslope runoff generation influenced by layered subsurface in a headwater catchment in Ore Mountains, Germany. Environ. Earth Sci., 75(11), 1-15. https://doi.org/10.1007/s12665-015-4873-x
  14. Heo, C.-H., Lim, K.-S., Ahn, K.S., and Hong, H.K., 2002, Flood runoff simulation model by using API, J. Korea Water Resour. Assoc., 35, 331-344. https://doi.org/10.3741/JKWRA.2002.35.3.331
  15. Hong, E.-M., Choi, J.-Y., Nam, W.-H., and Yoo, S.-H., 2009, Analysis of soil moisture recession characteristics in conifer forest, J. Korean Soc. Agr. Eng., 53(4), 1-9. https://doi.org/10.5389/KSAE.2011.53.4.001
  16. Kim, G.-B., Yun, H.-H., and Kim, D.-H., 2006, Relationship between standardized precipitation index and groundwater levels: A proposal for establishment of drought index wells, J. KoSSGE, 11(3), 31-42.
  17. Kim, N.-H., Hamm, S.-Y., Kim, T.-Y., Jung, J.Y., Jeon, H.T., and Kim, H.S., 2008, Estimation of groundwater storage change and its relationship with geology in Eonyang area, Ulsan megacity, J. Eng. Geol., 18, 263-276.
  18. Kim, S.-H., 2014, Hydrometric transit times along transects on a steep hillslope, Water Resour. Res., 50(9), 7261-7284.
  19. Kim, S.-U., Yu, H.-S., and Woo, Y.-K., 1976, Geological map of Gongju, 1:50,000, KIGAM, 29 p. (in Korean)
  20. KNPS, 2010, Resource Monitoring of Gyeryong National Park, 51-67. (in Korean)
  21. KNPS, 2012, Nature Resources Investigation of Gyeryong National Park, The report of research of KNPS, 652 p. (in Korean)
  22. Kobashi, S. and Suzuki, M., 1987, The critical rainfall (danger index) for disasters caused by debris flows and slope failures, IAHS-AISH publication 165, 201-211.
  23. Lee, I.-S. and Lee, H., 2014, Analysis of secular changes in the hydrological characteristics of a small forested watershed using a baseflow recession curve, J. Korean For. Soc., 103(3), 383-391.
  24. Legates, D.L. and McCabe Jr., G.J., 1999, Evaluating the use of "goodness-of-fit" measures in hydrologic and hydroclimatic model validation, Water Resour. Res., 35(1), 233-241.
  25. McGlynn, B.L., 2003, Distributed assessment of contributing area and riparian buffering along stream networks, Water Resour. Res., 39(4), doi:10.1029/2002WR001521.
  26. McGuire, K.J. and McDonnell, J.J., 2010, Hydrological connectivity of hillslopes and streams: characteristic timescales and nonlinearities, Water Resour. Res., 46(10), W10543, doi:10.1029/2010WR009341.
  27. Moon, S.K. and Woo, N.C. 2001, Estimation of groundwater recharge ratio using cumulative precipitation and water-level change, J. Korean Soc. Groundwater Environ., 6(1), 33-43.
  28. Nash, J.E. and Sutcliffe, J.V., 1970, River flow forecasting through conceptual models part I-A discussion of principles, J. Hydrol., 10(3), 282-290. https://doi.org/10.1016/0022-1694(70)90255-6
  29. Park, J.-S., Kim, K.-T., and Choi, C.-K., 2012, Analysis on rainfall characteristics in mountainous river basin, Conference of Korea Water Resources Association, Jeongseon, Korea, p. 886.
  30. Penna, D., Tromp-van Meerveld, H.J., Gobbi, A., Borga, M., and Dalla Fontana, G., 2011, The influence of soil moisture on threshold runoff generation processes in an alpine headwater catchment, Hydrol. Earth Syst. Sci., 15(3), 689-702. https://doi.org/10.5194/hess-15-689-2011
  31. Sidle, R.C., Tsuboyama, Y., Noguchi, S., Hosoda, I., Fujieda, M., and Shimizu, T., 2000, Stormflow generation in steep forested headwaters: a linked hydrogeomorphic paradigm, Hydrol. Process., 14(3), 369-385. https://doi.org/10.1002/(SICI)1099-1085(20000228)14:3<369::AID-HYP943>3.0.CO;2-P
  32. Sidle, R.C., Kim, K., Tsuboyama, Y., and Hosoda, I., 2011, Development and application of simple hydrogeomorphic model for headwater catchment, Water Resour. Res., 47(3), W00H13.
  33. VanSickle, J. and Beschta, R.L., 1983, Supply-based models suspended sediment transport in streams, Water Resour. Res., 19(3), 768-778. https://doi.org/10.1029/WR019i003p00768
  34. Vorosmarty, C.J., Green, P., Salisbury, J., and Lammers, R.B., 2000, Global water resources: vulnerability from climate change and population growth. Science, 289(5477), 284-288. https://doi.org/10.1126/science.289.5477.284
  35. Ward, R.C., 1984, On the response to precipitation of headwater streams in humid areas, J. Hydrol., 74(1), 171-189. https://doi.org/10.1016/0022-1694(84)90147-1
  36. Western, A. W. and Grayson, R. B., 1998, The Tarrawarra data set: soil moisture patterns, soil characteristics and hydrological flux measurements, Water Resour. Res., 34(10), 2765-2768. https://doi.org/10.1029/98WR01833