Worked Example: water supply security

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 Queensland. It shows how even with a relatively small observation dataset, sufficient information about hydraulic parameters, their distribution and uncertainty can be extracted during history matching. This is possible due […]

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On 22 September 2020, Jeremy White and Mike Fienen from the USGS presented a GMDSI sponsored webinar on PEST++ V5.  PEST++ V5 includes a wide range of tools for decision support modelling including global sensitivity analysis, data assimilation, uncertainty analysis, and management optimisation under uncertainty, with several new tools being actively developed to support increasingly

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3. Well Posed Inversion

This video shows how parameters can be estimated when model calibration constitutes a well-posed inverse problem. However, in groundwater modelling, well-posedness does not occur unless preceded by manual regularization. This is not recommended practice, for reasons discussed in the video. Nevertheless, the discussion is good preparation for other videos which focus on solution of ill-posed

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