Abstract
The Fuenmayor spring has continuously been monitored for identification purposes, to study the behavior, and optimize the management of a karst system. Previous studies have examined the model through classical spectral analysis and system identification techniques under a linearity hypothesis. Since a karst area is generally accepted as a non-linear and dynamic system, different approaches, from wavelet paradigmto high order statistically stable wavelet techniques, are discussed. The results obtained from spectral and polyspectral wavelet analysis shed light on karst system non-linearity, to better understand its behavior.
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Chinarro, D., CuchÃ, J., Villarroel, J. (2010). Application of Wavelet Correlation Analysis to the Karst Spring of Fuenmayor. San Julian de Banzo, Huesca, Spain. In: Andreo, B., Carrasco, F., Durán, J., LaMoreaux, J. (eds) Advances in Research in Karst Media. Environmental Earth Sciences. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12486-0_12
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DOI: https://doi.org/10.1007/978-3-642-12486-0_12
Publisher Name: Springer, Berlin, Heidelberg
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