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Geological and Hydrogeological Characterization of Springs in a DSGSD Context (Rodoretto Valley – NW Italian Alps)

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  • معلومة اضافية
    • Contributors:
      Marina De Maio, Ashwani Kumar Tiwari; Martina Gizzi, Stefano Lo Russo, Maria Gabriella Forno, Elena Cerino Abdin, Glenda Taddia
    • بيانات النشر:
      Springer
      DEU
      Francoforte
    • الموضوع:
      2020
    • Collection:
      Università degli studi di Torino: AperTo (Archivio Istituzionale ad Accesso Aperto)
    • نبذة مختصرة :
      As continuous groundwater monitoring in the upper sector of Rodoretto Valley (Germanasca Valley, Italian Western Alps) is hampered by logistical problem of data collection during winter and spring months, the only tools currently available to derive hydrogeological information are non-continuous and non-long-term dataset of spring discharge (Q), temperature (T) and electrical conductivity (EC). In order to quantity aquifer groundwater reserve, available Q dataset of a small mountain spring (Spring 1 CB) was investigated by applying the analytical solutions developed by Boussinesq (J Math Pure Appl 10:5–78, 1904) and Maillet (Essais dı’hydraulique souterraine et fluviale, vol 1. Herman et Cie, Paris, 1905); T and EC datasets were also used to provide qualitative information about the nature of the aquifer that supplies the spring. The outcomes of the elaborations highlighted the limits of applicability of these methods in the presence of a non-continuous Q dataset: both Boussinesq (J Math Pure Appl 10:5–78, 1904) and Maillet (Essais dı’hydraulique souterraine et fluviale, vol 1. Herman et Cie, Paris, 1905) estimated that discharge values as a function of recession time were found to be consistently lower than the available discharge ones and the estimated groundwater volumes stored over time above the spring level turned out to be underestimated. Continuous (hourly value) and long-term Q, EC and T values are, therefore, needful to correctly quantify and to make a proper management of groundwater resources in mountain areas.
    • Relation:
      ispartofbook:Applied Geology; firstpage:3; lastpage:19; numberofpages:17; alleditors:Marina De Maio, Ashwani Kumar Tiwari; http://hdl.handle.net/2318/1757815
    • الرقم المعرف:
      10.1007/978-3-030-43953-8
    • Rights:
      info:eu-repo/semantics/openAccess
    • الرقم المعرف:
      edsbas.A7F66F95