Wavelet analysis of Fuenmayor karst spring, San Julián de Banzo, Huesca, Spain

Fuenmayor spring has been monitored continuously for identification purposes to study the behavior of a karst groundwater system. This paper initially deals with linear methods employing system engineering techniques for the analysis and identification of a hydrological system, considered as a black box model, which disregards information on the internal structure of the aquifer. Under a linear time invariant hypothesis, the application of the simple correlation of spectral analysis and parametric identification of transfer function generated some interesting results in the monitored spring. These tools have historically been successful in studying a large number of karst springs and continue to be practical approximations in initial attempts to obtain a draft model. Because of the nonlinear and nonstationary nature of karst, more effective systemic techniques are required to cover certain aspects of analysis that the linear system cannot reveal adequately. This paper presents interesting results using Fuenmayor spring data, collected over almost 10 years, to show the ability of wavelet techniques in the identification of a karst spring system.