http://www.cnr.it/ontology/cnr/individuo/prodotto/ID42181
PUMPING-WELL DATA FOR CONDITIONING THE REALIZATION OF THE FRACTURE APERTURE FIELD IN GROUNDWATER FLOW MODELS (Articolo in rivista)
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- Label
- PUMPING-WELL DATA FOR CONDITIONING THE REALIZATION OF THE FRACTURE APERTURE FIELD IN GROUNDWATER FLOW MODELS (Articolo in rivista) (literal)
- Anno
- 2005-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1016/j.jhydrol.2004.12.002 (literal)
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
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- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Consiglio Nazionale delle Ricerche, Istituto di Ricerca sulle Acque, Reparto de Chimica e Tecnologia delle Acque,
Via Francesco De Blasio, 5, 70123 Bari, Italy (literal)
- Titolo
- PUMPING-WELL DATA FOR CONDITIONING THE REALIZATION OF THE FRACTURE APERTURE FIELD IN GROUNDWATER FLOW MODELS (literal)
- Abstract
- Stochastic methods were used in a new mathematical modeling approach on a regional scale in order to study the Idume Spring discharge (Salento region, Southern Italy). The groundwater flow was addressed in a set of horizontal fractures with variable apertures in each fracture plane since the aquifer is characterized by a discrete number of poorly interconnected fractures. The new approach uses the fracture conductivity field of the aquifer, derived from field estimations in 49 pumpingwells, for the site characterization of the system. These fracture conductivities were expressed using the mean aperture values of the overall fractures, by directly inverting the groundwater radial flow equation under steady-state conditions. The regional covariance of the mean fracture aperture was considered as input in the proposed stochastic computational method to generate the aperture values in each fracture plane. The continuity equation, on the basis of the solution of Navier-Stokes' equation, was integrated into each fracture by using the finite difference method. A computational code performed the evaluation of the outflow in every single fracture of the idealized set. The computed (1071G2.1 L/s) and measured (1068 L/s) Idume Spring discharge were compared, demonstrating positive performances of both the proposed stochastic approach and computational procedures. (literal)
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