The analysis of the dynamic response of a karst aquifer to precipitations, due to its complex structure, is not simple, given the non-linear response of the groundwater table. This work presents the analysis of the dynamic response of Murgia large karst aquifer, central Apulia, south Italy, based on a data-driven approach, namely Evolutionary Polynomial Regression. This is applied to the monthly average levels measured in three wells for about 15 years. Groundwater levels are predicted as a function of the previous groundwater levels and monthly rainfall data. Results show the complex behavior of this aquifer.
|Titolo:||Data-driven modeling of the dynamic response of a large deep karst aquifer|
|Data di pubblicazione:||2014|
|Digital Object Identifier (DOI):||10.1016/j.proeng.2014.11.430|
|Appare nelle tipologie:||1.1 Articolo in rivista|