Construction of a decision support groundwater model requires that parameters be adjustable, stochastic and representative of geological conditions. This can be difficult to achieve in
The worked example theme provides the opportunity for GMDSI to ‘think aloud’. Over the course of the GMDSI project we hope to undertake up to 10 worked examples.
GMDSI will work alongside industry and government modellers, aiming to add value to existing modelling work by applying high-end data assimilation and uncertainty quantification methods to real life projects. Our work will be documented, and shared, so that others can follow.
With worked examples, we aim to:
- demonstrate and explain new data assimilation and uncertainty analysis methodologies that are available through public domain model partner software
- explain the benefits of using these methodologies
- suggest ways in which decision-support models can be designed to take advantage of these methodologies
- lower the barriers to everyday use of model-partner software by the groundwater industry.
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Locating sources of groundwater contamination is an inverse problem on steroids. It is, in fact, two inverse problems. Source locations must be back-calculated from field
Management of coastal aquifers is unforgiving. If too much fresh water is extracted, salt water takes its place. Depending on the location, measurements of historical
For this worked example, we rebuild an old USGS model. The focus of the original model was protection of water supply wells that serve a
Simultaneous fitting of drawdowns induced by pumping at multiple sites in an area of complex geology revealed important patterns of connected permeability Over a six
Any groundwater model is riddled with imperfections. Do these compromise its decision-support utility? Linear analysis can answer this question.
Our first worked example report describes design and development of a predictive model built to examine water supply security of a small town in South Eastern