USE OF FOURIER HARMONICS IN GROUND-WATER MODELING WITH APPLICATION TO PALEOHYDROLOGICAL SPRING DISCHARGE
Numerical experiments on paleo-precipitation data with low-frequency filters were performed. As part of these experiments, regression statistics were calculated, and ANOVA values determined. The outputs of each of these numerical experiments were subjected to Fourier harmonic expansion through five cycles. Resultant F-values and t-statistics for the sine and cosine variable pairs were evaluated against appropriate F-critical and t-critical values for specific degrees of freedom. Additionally, the multiple-R regression statistic for each of the 25 numerical experiments performed was compared for strength of linear relationship.
Results indicate that the 6.25-year and 12.5-year paleo-precipitation harmonics are observed for both of the two springs analyzed. The 6.25-year cycle curves display more variability than the 12.5-year cycle curves. Also, in comparing Fourier expansions to modeled spring discharge rates, both the 6.25 and 12.5-year cycles accurately simulated the Sand Canyon and Yellow Jacket Pueblo spring discharge. This result suggests a direct correlation between climatic variability on a frequency comparable to the North American Monsoon with inferred recharge functions and simulated paleohydrologic system response. The Fourier harmonics technique adds validity and confidence for using surrogate recharge parameter values to derive paleohydrological model spring output.