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: