Abstract
AbstractThe analysis of the dynamic response of aquifers to rainfall is a key issue for groundwater resource management. A data-driven evolutionary modeling approach, evolutionary polynomial regression, based on multiobjective optimization is used here in order to identify explicit equations that forecast groundwater piezometric levels as a function of past rainfall values and past measured values of groundwater table levels. This methodology is applied here to two aquifers located in the same climatic area of southeast Italy, representative of two completely different hydrogeological scenarios: a deep coastal karst aquifer and a shallow porous aquifer. An evolutionary polynomial regression approach using commercially available software returns highly reliable model that allow for describing the different hydrogeological behaviors of the two aquifers. These models can be used both for planning the management of groundwater resources and for obtaining new scientific insight about the aquifers, looking at t...
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call