Hydrograph Separation Using EMMA Model for the Coniferous Forest Catchment in Gwangneung Gyeonggido, Republic of Korea (I) - Determination of the End Members and Tracers -

  • Kim, Kyongha (Department of Forest Environment, Korea Forest Research Institute) ;
  • Yoo, Jae-Yun (Department of Forest Environment, Korea Forest Research Institute) ;
  • Jun, Jae-Hong (Department of Forest Environment, Korea Forest Research Institute) ;
  • Choi, Hyung Tae (Department of Forest Environment, Korea Forest Research Institute) ;
  • Jeong, Yong-Ho (Department of Forest Environment, Korea Forest Research Institute)
  • Received : 2006.05.17
  • Accepted : 2006.07.10
  • Published : 2006.10.30

Abstract

This study was conducted to choose end-members and tracers for application of End Member Mixing Analysis (EMMA) model for the coniferous forest catchment, Gwangneung Gyeongi-do near Seoul metropolitan of South Korea (N $37^{\circ}$ 45', E $127^{\circ}$ 09'). This coniferous forest of Pinus Korainensis and Abies holophylla was planted at stocking rate of $3.0stems\;ha^{-1}$ in 1976. Thinning and pruning were carried out two times in the spring of 1996 and 2004 respectively. We monitored two successive rainfall events during ten days from June 26, 205 to July 5, 2005. Two storm events were selected to determine the end members and natural traces for hydrograph separation. The event 1 amounts to 161.9 m for two days from June 26 to 27, 2005. The event 2 precipitates to 139.2 mm for one day of July 1, 205. Throughfall, groundwater, soil water and stream water of the two events above were sampled through the bulk and automatic sampler. Their chemical properties were analyzed for prediction of the main tracer. The end members that contribute to the stream runoff were identified from the three components including groundwater, soil water and throughfall. Each component and stream water in the two events formed the suitable mixing diagram in case of chloride-nitrate ion and sulfate-potassium ion. Especially, chloride-nitrate ion was found to be the most suitable tracers for EMMA model in the two events.

Keywords

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