A data-driven model of the dynamic response to rainfall of a shallow porous aquifer of south Basilicata - Italy

Abstract

The analysis of the dynamic response of a shallow aquifer 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. The outcome of this approach is here discussed focusing on the hydrogeology of the aqui-fer. Then some hydrological considerations on the results are presented. Finally, the obtained model is consistent with past studies on the same aquifer by other authors and based on different methodologies.