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EnglishIt has become increasingly necessary to optimise mountain groundwater resource management and comprehend resourcerecharging systems from a hydrogeological perspective to formulate adequate resource protection strategies. Analysing mountain spring behaviour and aquifer characteristics can be time-consuming, so new automated techniques and software tools are needed to estimate hydrogeological parameters and understand the exhaustion dynamics of groundwater resources. This paper introduces SOURCE, a new semi-automatic tool that automates the hydrogeological characterisation of water springs and provides proper estimations of the vulnerability index, as well as autocorrelation and cross-correlation statistical coefficients. SOURCE rapidly processed input data from the Mascognaz 1 spring (Aosta Valley) water probes and meteorological station to provide graphical outputs and values for the main hydrodynamic parameters. Having a single software package that contains all the main methods of water spring analysis could potentially reduce analysis times from a few days to a few hours.
SOURCE: a semi-automatic tool for spring-monitoring data analysis and aquifer characterisation / Lo Russo, Stefano; Suozzi, Enrico; Gizzi, Martina; Taddia, Glenda. - In: ENVIRONMENTAL EARTH SCIENCES. - ISSN 1866-6280. - ELETTRONICO. - 80:21(2021). [10.1007/s12665-021-10027-8]
| Titolo: | SOURCE: a semi-automatic tool for spring-monitoring data analysis and aquifer characterisation | |
| Autori: | ||
| Data di pubblicazione: | 2021 | |
| Rivista: | ||
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1007/s12665-021-10027-8 | |
| Appare nelle tipologie: | 1.1 Articolo in rivista |
File in questo prodotto:
| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| Lo Russo et al., 2021_SOURCE.pdf | Articolo principale | 2a Post-print versione editoriale / Version of Record | PUBBLICO - Tutti i diritti riservati | Visibile a tuttiVisualizza/Apri |
http://hdl.handle.net/11583/2933234
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