The Presence of Chaotic Behavior in Monthly Soil Temperature Time Series by Correlation Dimension Method

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The Presence of Chaotic Behavior in Monthly Soil Temperature Time Series by Correlation Dimension Method

Original Article, B37
Aalami M.T.
Journal. Civil Eng. Urban. 2(6): 207-213. 2012.

ABSTRACT:Soil temperature can fluctuate dynamically, suggesting a possible chaotic behavior in such time series, as this can have a significant bearing on hydrological models, solar energy and other agricultural applications. Hence, this paper reports an investigation into the detection of a possible existence of chaotic behavior in the monthly soil temperature time series at five depths (5, 10, 20, 50 and 100 cm) below the ground level in a recorded data (an observation station in Adana, Turkey). For this purpose, the correlation dimension method, as a customary indicator of chaotic behavior, was derived from the data record over a period of 8 years (January 2000 - December 2007). The low correlation dimensions at five depths suggest the presence of low-dimensional chaotic behavior in the soil temperature dynamics.

Keywords:Chaos theory, Correlation dimension, Time series, Soil temperature

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