Reports, Working and Technical Papers

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Browsing Reports, Working and Technical Papers by Subject "Aquifers"
Now showing 1 - 3 of 3
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    Decision-Support Modelling viewed through the lens of Model Complexity
    (National Centre for Groundwater Research and Training, Flinders University, 2021-08) Doherty, John ; Moore, Catherine
    A report on decision-support for groundwater modelling and management. The authors’ perspectives on decision-support modelling are shown pictorially using a “roadmap”. This is intended to provide modellers with scientifically-based guidance for selection of a level of structural and parameterisation complexity that is appropriate for the decision-support context in which they are working. It may also assist modelling stakeholders to understand how groundwater modelling can best respond to the decision support imperatives that it is meant to serve.
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    Exploring Model Defects Using Linear Analysis: A GMDSI worked example report
    (National Centre for Groundwater Research and Training, Flinders University, 2021-02) Nicol, Chris ; Doherty, John
    The Groundwater Modelling Decision Support Initiative (GMDSI) is an industry-funded and industry-aligned project focused on improving the role that groundwater modelling plays in supporting environmental management and decision-making. Over the life of the project, it will document a number of examples of decision-support groundwater modelling. These documented worked examples will attempt to demonstrate that by following the scientific method, and by employing modern, computer-based approaches to data assimilation, the uncertainties associated with groundwater model predictions can be both quantified and reduced. With realistic confidence intervals associated with predictions of management interest, the risks associated with different courses of management action can be properly assessed before critical decisions are made. In this GMDSI worked example report, we demonstrate how linear analysis can be used to explore whether a groundwater model can indeed be useful while being wrong, and under what circumstances it can actually be described as being "fit for purpose". However, before doing this, we explore the metrics on which these descriptions must rest.
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    Rapid Data Assimilation Using an Appropriately Complex Model: a GMDSI worked example report
    (National Centre for Groundwater Research and Training, Flinders University, 2021) Manewell, Neil ; Doherty, John
    The Groundwater Modelling Decision Support Initiative (GMDSI) is an industry-funded and industry-aligned project focused on improving the role that groundwater modelling plays in supporting environmental management and decision-making. This GMDSI report addresses a number of related issues. They include: appropriate model complexity; appropriate parameterisation complexity; efficient model-based assimilation of information-rich data; and linear analysis. The focus of modelling work that is reported herein is BHP’s Orebody 31 (OB31) situated in the Pilbara region of Western Australia. The environs of this mine have been the focus of a number of generations of modelling, some of which is described in the present report. Mining of OB31 commenced in 2016; however data collection and modelling took place for a number of years prior to that.