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http://dx.doi.org/10.5532/KJAFM.2007.9.4.247

Evaluation of a Hydro-ecologic Model, RHESSys (Regional Hydro-Ecologic Simulation System): Parameterization and Application at two Complex Terrain Watersheds  

Lee, Bo-Ra (Department of Environmental Science, Kangwon National University)
Kang, Sin-Kyu (Department of Environmental Science, Kangwon National University)
Kim, Eun-Sook (Department of Environmental Planning, Graduate School of Environmental Studies, Seoul National University)
Hwang, Tae-Hee (Department of Geography, University of North Carolina)
Lim, Jong-Hwan (Division of Forest Environment, Korea Forest Research Institute)
Kim, Joon ( Global Environment Laboratory & Department of Atmospheric Sciences, Yonsei University)
Publication Information
Korean Journal of Agricultural and Forest Meteorology / v.9, no.4, 2007 , pp. 247-259 More about this Journal
Abstract
In this study, we examined the flux of carbon and water using an eco-hydrological model, Regional Hydro-Ecologic Simulation System (RHESSys). Our purposes were to develop a set of parameters optimized for a well-designed experimental watershed (Gwangneung Research Watershed, GN) and then, to test suitability of the parameters for predicting carbon and water fluxes of other watershed with different regimes of climate, topography, and vegetation structure (i.e Gangseonry Watershed in Mt. Jumbong, GS). Field datasets of stream flow, soil water content (SWC), and wood biomass product (WBP) were utilized for model parameterization and validation. After laborious parameterization processes, RHESSys was validated with the field observations from the GN watershed. The parameter set identified at the GN watershed was then applied to the GS watershed in Mt. Jumbong, which resulted in good agreement for SWC but poor predictability for WBP. Our study showed that RHESSys simulated reliable SWC at the GS by adjusting site-specific porosity only. In contrast, vegetation productivity would require more rigorous site-specific parameterization and hence, further study is necessary to identify primary field ecophysiological variables for enhancing model parameterization and application to multiple watersheds.
Keywords
RHESSys; Parameterization; Application; Multi-watershed;
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