Estimating Tidal Effects in Spring Discharge: A Multiscale Method Using Correlated Phenomena
نویسندگان
چکیده
A new method is proposed to remove accurately one signal’s influence from another. In particular, tidal influence on discharge from a natural artesian spring in the Woodville Karst Plain is quantified and is separated from that portion of the discharge due to other factors such as rainfall. Statistical correlation between the signals is used as a thresholding parameter in this new wavelet method. Variants of the estimator are developed for differing assumptions on the relations of the signals. This new method is shown to be effective at identifying and separating tidal signals, both regular (luni-solar forcing) and irregular (storms and hurricanes), from the discharge signal.
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