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http://dx.doi.org/10.5532/KJAFM.2007.9.2.088

Univariate Analysis of Soil Moisture Time Series for a Hillslope Located in the KoFlux Gwangneung Supersite  

Son, Mi-Na (Department of Environmental Engineering, Water resource and Environment Laboratory, Pusan National University)
Kim, Sang-Hyun (Department of Environmental Engineering, Water resource and Environment Laboratory, Pusan National University)
Kim, Do-Hoon (Department of Environmental Engineering, Water resource and Environment Laboratory, Pusan National University)
Lee, Dong-Ho (Department of Atmospheric Sciences / Global Environment Laboratory, Yonsei University)
Kim, Joon (Department of Atmospheric Sciences / Global Environment Laboratory, Yonsei University)
Publication Information
Korean Journal of Agricultural and Forest Meteorology / v.9, no.2, 2007 , pp. 88-99 More about this Journal
Abstract
Soil moisture is one of the essential components in determining surface hydrological processes such as infiltration, surface runoff as well as meteorological, ecological and water quality responses at watershed scale. This paper discusses soil moisture transfer processes measured at hillslope scale in the Gwangneung forest catchment to understand and provide the basis of stochastic structures of soil moisture variation. Measured soil moisture series were modelled based upon the developed univariate model platform. The modeling consists of a series of procedures: pre-treatment of data, model structure investigation, selection of candidate models, parameter estimation and diagnostic checking. The spatial distribution of model is associated with topographic characteristics of the hillslope. The upslope area computed by the multiple flow direction algorithm and the local slope are found to be effective parameters to explain the distribution of the model structure. This study enables us to identify the key factors affecting the soil moisture distribution and to ultimately construct a realistic soil moisture map in a complex landscape such as the Gwangneung Supersite.
Keywords
Soil moisture; Time series; Univariate analysis; ARMA model;
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