It 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|
|Data di pubblicazione:||2021|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1007/s12665-021-10027-8|
|Appare nelle tipologie:||1.1 Articolo in rivista|