The analysis of the dynamic response of a karst aquifer to precipitations, due to its complex structure, is not simple, given the non-linear response of the groundwater table. This work presents the analysis of the dynamic response of Murgia large karst aquifer, central Apulia, south Italy, based on a data-driven approach, namely Evolutionary Polynomial Regression. This is applied to the monthly average levels measured in three wells for about 15 years. Groundwater levels are predicted as a function of the previous groundwater levels and monthly rainfall data. Results show the complex behavior of this aquifer.
Data-driven modeling of the dynamic response of a large deep karst aquifer / Doglioni, A; Simeone, V.. - In: PROCEDIA ENGINEERING. - ISSN 1877-7058. - ELETTRONICO. - 89:(2014), pp. 1254-1259. [10.1016/j.proeng.2014.11.430]
Data-driven modeling of the dynamic response of a large deep karst aquifer
Doglioni, A;Simeone, V.
2014-01-01
Abstract
The analysis of the dynamic response of a karst aquifer to precipitations, due to its complex structure, is not simple, given the non-linear response of the groundwater table. This work presents the analysis of the dynamic response of Murgia large karst aquifer, central Apulia, south Italy, based on a data-driven approach, namely Evolutionary Polynomial Regression. This is applied to the monthly average levels measured in three wells for about 15 years. Groundwater levels are predicted as a function of the previous groundwater levels and monthly rainfall data. Results show the complex behavior of this aquifer.| File | Dimensione | Formato | |
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