Role of Snowpack-Hydrometeorological Sensors for Hydrogeological System Comprehension inside an Alpine Closed-Basin.


Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
20 Sep 2022
Historique:
received: 03 08 2022
revised: 15 09 2022
accepted: 16 09 2022
entrez: 14 10 2022
pubmed: 15 10 2022
medline: 18 10 2022
Statut: epublish

Résumé

Groundwater resource assessment and forecasting in mountain areas requires the monitoring of two conditions, local meteorological conditions, and springs' groundwater parameters. The reliability of the monitoring data and conditions are linked to the technical instrumentation, multiparametric probes, and sensors. This paper presents a set of attractive tools and sensors for springs' groundwater resource monitoring and assessment in mountain basins. Data from the combination of weather station sensors with spring flow-rate instruments, installed in the alpine Mascognaz basin, can guarantee an entire understanding of how one set of parameters can affect other results, defining consequential cause-and-effect relationships. Since a large part of the Alpine groundwater bodies are exploited for drinking purposes, understanding the evolution of their rechange processes requires making the right economic and instrumental investments aimed at using them according to forecast predictions and sustainable development goals.

Identifiants

pubmed: 36236229
pii: s22197130
doi: 10.3390/s22197130
pmc: PMC9572276
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Références

Sci Total Environ. 2020 Dec 15;748:141363
pubmed: 32823224
Sci Data. 2020 Apr 3;7(1):109
pubmed: 32246091
Nat Commun. 2020 Jul 24;11(1):3710
pubmed: 32709871
Sensors (Basel). 2021 Jan 22;21(3):
pubmed: 33499172
Environ Int. 2018 Jun;115:325-333
pubmed: 29626694
Nature. 2005 Nov 17;438(7066):303-9
pubmed: 16292301

Auteurs

Michele Mondani (M)

Department of Environment, Land and Infrastructure Engineering (DIATI), Politecnico di Torino, 10129 Torino, Italy.

Martina Gizzi (M)

Department of Environment, Land and Infrastructure Engineering (DIATI), Politecnico di Torino, 10129 Torino, Italy.

Glenda Taddia (G)

Department of Environment, Land and Infrastructure Engineering (DIATI), Politecnico di Torino, 10129 Torino, Italy.

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Classifications MeSH