Methods for Exploring Uncertainty in Groundwater Management Predictions

Joseph H. A. Guillaume, Randall J. Hunt, Alessandro Comunian, Rachel S. Blakers, Baihua Fu

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

18 Citations (Scopus)
91 Downloads (Pure)

Abstract

Models of groundwater systems help to integrate knowledge about the natural and human system covering different spatial and temporal scales, often from multiple disciplines, in order to address a range of issues of concern to various stakeholders. A model is simply a tool to express what we think we know. Uncertainty, due to lack of knowledge or natural variability, means that there are always alternative models that may need to be considered. This chapter provides an overview of uncertainty in models and in the definition of a problem to model, highlights approaches to communicating and using predictions of uncertain outcomes and summarises commonly used methods to explore uncertainty in groundwater management predictions. It is intended to raise awareness of how alternative models and hence uncertainty can be explored in order to facilitate the integration of these techniques with groundwater management.
Original languageEnglish
Title of host publicationIntegrated Groundwater Management
EditorsAnthony J. Jakeman, Olivier Barreteau, Randall J. Hunt, Jean-Daniel Rinaudo, Andrew Ross
Place of PublicationCham
Pages711-737
Number of pages27
ISBN (Electronic)978-3-319-23576-9
DOIs
Publication statusPublished - 2016
MoE publication typeA3 Part of a book or another research book

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