Scientific Results

  • ID:
    publications-2567
  • Type:
    Peer reviewed articles
  • Year:
    2020
  • Authors:
    Gabriel C. Rau, Mark O. Cuthbert, Vincent E. A. Post, Daniel Schweizer, R. Ian Acworth, Martin S. Andersen, Philipp Blum, Elisabetta Carrara, Todd C. Rasmussen, Shemin Ge
  • Title:
    Future-proofing hydrogeology by revising groundwater monitoring practice
  • Venue/Journal:
    Hydrogeology Journal
  • DOI:
    10.1007/s10040-020-02242-7
  • Research type:
    AI & Machine Learning
  • Water System:
    Uncategorized
  • Technical Focus:
  • Abstract:
    AbstractGroundwater is an important global resource and its sustainable use faces major challenges. New methods and advances in computational science could lead to much improved understanding of groundwater processes and subsurface properties. A closer look at current groundwater monitoring practice reveals the need for updates with a special focus on the benefits of high-frequency and high-resolution datasets. To future-proof hydrogeology, this technical note raises awareness about the necessity for improvement, provides initial recommendations and advocates for the development of universal guidelines.
  • Link with Projects:
    835852
  • Link with Tools:
  • Related policies:
  • ID: