Groundwater constitutes a key resource and the most relevant reservoir of drinking water at global scale. Despite the recognized resilience of groundwater bodies to climate variations, the fifth IPPC report identifies climate change as the main stressor impacting groundwater resource. For this reason, it is necessary to focus the attention on groundwater availability, considering the main input and output of different aquifers. This exploratory analysis intends to present a first approach for the definition of the groundwater level temporal pattern in the province of Brescia (Lombardy, Italy). To do so, a statistical analysis of groundwater level time series from 17 ARPA wells and meteorological data from 11 ARPA stations was conducted. Further in-depth analyses will allow to identify possible mitigation actions for a sustainable use of this resource.
Redaelli, A., Rotiroti, M., Bonomi, T., Fumagalli, L., Caschetto, M., Esposto, F., et al. (2022). Exploratory groundwater time series analysis to support climate change vulnerability assessment, a case study in northern Italy. Intervento presentato a: Convegno Nazionale delle Sezioni “GIT – Geosciences and Information Technologies” e “SI – Sezione di Idrogeologia”, Fondi (Lt), Italy.
Exploratory groundwater time series analysis to support climate change vulnerability assessment, a case study in northern Italy
Redaelli, APrimo
;Rotiroti, MSecondo
;Bonomi, T;Fumagalli, L;Caschetto, M;Zanotti, CUltimo
2022
Abstract
Groundwater constitutes a key resource and the most relevant reservoir of drinking water at global scale. Despite the recognized resilience of groundwater bodies to climate variations, the fifth IPPC report identifies climate change as the main stressor impacting groundwater resource. For this reason, it is necessary to focus the attention on groundwater availability, considering the main input and output of different aquifers. This exploratory analysis intends to present a first approach for the definition of the groundwater level temporal pattern in the province of Brescia (Lombardy, Italy). To do so, a statistical analysis of groundwater level time series from 17 ARPA wells and meteorological data from 11 ARPA stations was conducted. Further in-depth analyses will allow to identify possible mitigation actions for a sustainable use of this resource.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.