Methods for exploring uncertainty in groundwater management predictions
Links
- More information: Publisher Index Page (via DOI)
- Download citation as: RIS | Dublin Core
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.
Publication type | Book chapter |
---|---|
Publication Subtype | Book Chapter |
Title | Methods for exploring uncertainty in groundwater management predictions |
ISBN | 978-3-319-23575-2 |
DOI | 10.1007/978-3-319-23576-9_28 |
Year Published | 2016 |
Language | English |
Publisher | Springer |
Contributing office(s) | Wisconsin Water Science Center |
Description | 27 p. |
Larger Work Type | Book |
Larger Work Subtype | Monograph |
Larger Work Title | Integrated groundwater management |
First page | 711 |
Last page | 737 |
Online Only (Y/N) | N |
Additional Online Files (Y/N) | N |
Google Analytic Metrics | Metrics page |