Data-driven techniques are among the most powerful approaches to model environmental phenomena. Evolutionary modelling constitutes and interesting approach able to combine the regressive feature of data-driven modelling with the power of evolutionary optimization. Here an evolutionary data-driven paradigm is used in order to model aquifer response to rainfall. The aquifer is shallow and located in south-east Apulia, south Italy, for which a long and reliable time series of monthly water table levels, measured in monitoring wells, are available. The identified models are consistent with past studies and with the hydrogeological characteristics of the aquifer, allowing for explicating the main rainfall components influencing the water table and the lag between rainfall and water table oscillations.

Evolutionary data-driven modeling of Salento shallow aquifer response to rainfall / Doglioni, Angelo; Galeandro, Annalisa; Simeone, Vincenzo - In: Engineering Geology for Society and Territory. Volume 3: River Basins, Reservoir Sedimentation and Water Resources / [a cura di] Giorgio Lollino; Massimo Arattano; Massimo Rinaldi; Orazio Giustolisi; Jean-Christophe Marechal; Gordon E. Grant. - STAMPA. - Cham, CH : Springer, 2015. - ISBN 978-3-319-09053-5. - pp. 281-285 [10.1007/978-3-319-09054-2_58]

Evolutionary data-driven modeling of Salento shallow aquifer response to rainfall

Angelo Doglioni;Annalisa Galeandro;Vincenzo Simeone
2015-01-01

Abstract

Data-driven techniques are among the most powerful approaches to model environmental phenomena. Evolutionary modelling constitutes and interesting approach able to combine the regressive feature of data-driven modelling with the power of evolutionary optimization. Here an evolutionary data-driven paradigm is used in order to model aquifer response to rainfall. The aquifer is shallow and located in south-east Apulia, south Italy, for which a long and reliable time series of monthly water table levels, measured in monitoring wells, are available. The identified models are consistent with past studies and with the hydrogeological characteristics of the aquifer, allowing for explicating the main rainfall components influencing the water table and the lag between rainfall and water table oscillations.
2015
Engineering Geology for Society and Territory. Volume 3: River Basins, Reservoir Sedimentation and Water Resources
978-3-319-09053-5
Springer
Evolutionary data-driven modeling of Salento shallow aquifer response to rainfall / Doglioni, Angelo; Galeandro, Annalisa; Simeone, Vincenzo - In: Engineering Geology for Society and Territory. Volume 3: River Basins, Reservoir Sedimentation and Water Resources / [a cura di] Giorgio Lollino; Massimo Arattano; Massimo Rinaldi; Orazio Giustolisi; Jean-Christophe Marechal; Gordon E. Grant. - STAMPA. - Cham, CH : Springer, 2015. - ISBN 978-3-319-09053-5. - pp. 281-285 [10.1007/978-3-319-09054-2_58]
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/13266
Citazioni
  • Scopus 3
  • ???jsp.display-item.citation.isi??? 1
social impact