Data di Pubblicazione:
2016
Citazione:
Methods for exploring uncertainty in groundwater management predictions / J. Guillaume, R. Hunt, A. Comunian, R. Blakers, B. Fu - In: Integrated groundwater management : concepts, approaches and challenges / [a cura di] A.J. Jakeman, O. Barreteau, R.J. Hunt, J.D. Rinaudo, A. Ross. - Prima edizione. - [s.l] : Springer, 2016 Jun 20. - ISBN 9783319235752. - pp. 711-737 [10.1007/978-3-319-23576-9_28]
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.
Tipologia IRIS:
03 - Contributo in volume
Elenco autori:
J. Guillaume, R. Hunt, A. Comunian, R. Blakers, B. Fu
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Link al Full Text:
Titolo del libro:
Integrated groundwater management : concepts, approaches and challenges