Evolutionary Modeling of Response of Water Table to Precipitations
Publication: Journal of Hydrologic Engineering
Volume 22, Issue 2
Abstract
The 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 the equations and at the variables identified by the software model.
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Acknowledgments
This work was partly founded by the Apulian Regional Government as part of the project Future in Research, Data Driven Models for Groundwater Management and the Geomorphic Analysis of Landscape, project number 4A46U38.
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Information & Authors
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Published In
Journal of Hydrologic Engineering
Volume 22 • Issue 2 • February 2017
Copyright
© 2016 American Society of Civil Engineers.
History
Received: Feb 23, 2016
Accepted: Jul 27, 2016
Published online: Sep 2, 2016
Published in print: Feb 1, 2017
Discussion open until: Feb 2, 2017
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