Symple

Symple Our Mission is to promote and facilitate the understanding, use and evaluation of groundwater models. Such courses are comparatively rare and urgently needed.

SYMPLE offers a School of Hydrogeological Modelling hosted by professionals and academics from all over the world. The courses blend theory with practice in ways that our unique industry requires. he traditional workflow begins with field investigations, proceeds to the building of a conceptual model, and then seeks to build an often too complex numerical model on that basis. The underlying princi

ple of this approach is that we can deterministically simulate what happens under the ground. This is a demonstrably erroneous premise. The “traditional” method has been leading us to widespread distrust of what modelling can achieve. SYMPLE intends to teach an emerging paradigm supported by the latest ideas and software for data assimilation: "Starting from the problem and working backwards“. Turning into practice this paradigm requires to:
- clearly identify the groundwater management problem to be solved, avoiding the "better understanding" as principal aim of the model;
- identify the type of data that has the greatest capacity to reduce the uncertainties associated with decision-critical predictions of system behaviour;
- design a simulation strategy that serves the decision-support imperative of quantifying and reducing those uncertainties. Development of better strategies to address existing and pressing problems requires the same data and software mostly already available (PEST and PEST++ suites), but a new mindset. The modelling approach proposed by SYMPLE is quicker and less expensive because it is:
- management targeted;
- only as complex as it needs to be to serve the decision-support demands;
- supported by project-related strategies through specific software or workflows. That is, modelling should be complex enough to assimilate data and reduce uncertainty, but strategically simple because it is decision-focused.

"The public has a right to be sceptical about predictions made by a groundwater model. This should not be seen as a bad ...
14/01/2023

"The public has a right to be sceptical about predictions made by a groundwater model. This should not be seen as a bad thing; after all, scepticism is the cradle of science. Groundwater modelling can characterise itself as a scientific enterprise only if it can justify its methods and practices using logic that is beyond refutation by its critics. We contend that this is possible if a groundwater model is fashioned as a component of a scientific instrument that is deployed by individuals whose intellects are humbled by the complexities of natural systems, and whose minds are open to what may be revealed by the scientific inquiries that are facilitated by their instrument."

From "Decision Support Modelling Viewed through the Lens of Model Complexity". Doherty, J. and Moore C., (2021).

What should decision-support groundwater modelling seek to accomplish? Should it try to build a digital replica of what happens underground? Obviously not, because this is impossible. Not nearly enough is known about the subsurface and its hydraulic properties to do this. This monograph (written by....

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