The analysis of the dynamic response of shallow aquifers to rainfall is a hot topic for groundwater resources management. A data-driven methodology namely Evolutionary Polynomial Regression is here undertaken to perform this kind of analysis. The introduced methodology is an evolutionary modeling approach, , based on the multiobjective evolution of a population of explicit models. The methodology is here applied to a particular case study involving a shallow porous aquifer located in south Italy, showing some peculiar characters. A discussion of the obtained model in the light of the aquifer hydrogeological structure made it possible an hydrogeological based interpretation of the results. The obtained mod-el is consistent with past studies on the same aquifer by other authors based on different methodologies.
|Autori interni:||SIMEONE, Vincenzo|
|Titolo:||A data-driven model of the shallow porous aquifer of south Basilicata – Italy|
|Titolo del libro:||Advances in the Research of Aquatic Environment|
|Data di pubblicazione:||2011|
|Digital Object Identifier (DOI):||10.1007/978-3-642-19902-8_27|
|Appare nelle tipologie:||2.1 Contributo in volume (Capitolo o Saggio)|