3D geological models to groundwater flow models: data integration between GSI3D and groundwater flow modelling software GMS and FeFlow®
Published:January 01, 2017
A. H. Pasanen, J. S. Okkonen, 2017. "3D geological models to groundwater flow models: data integration between GSI3D and groundwater flow modelling software GMS and FeFlow®", Integrated Environmental Modelling to Solve Real World Problems: Methods, Vision and Challenges, A. T. Riddick, H. Kessler, J. R. A. Giles
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Data integration between different software is routinely needed in order to create suitable data formats or necessary data manipulation prior to importing the data. The procedures and workflows are not usually published. This paper presents the data integration between GSI3D (Geological Surveying and Investigation in 3 Dimensions) and groundwater flow modelling software GMS version 7.0 (Groundwater Modelling Systems) and FeFlow®. Geological models for two sites in Finland, an esker aquifer at Patamäki and a mine site in Luikonlahti, were constructed using dedicated 3D geological modelling software GSI3D.
The data from the GSI3D model in Patamäki was exported as ASCII grid files directly to GMS in order to delineate hydrogeological features prior to groundwater flow modelling. The data from the GSI3D model in Luikonlahti was first manipulated in ArcGIS to make it amenable in FeFlow®.
In both modelling locations, the detailed geological modelling greatly helped to discern different hydraulic conductivity zones that are based on different geological materials. This, in addition, eases the development of conceptual groundwater flow models, the model calibration process and potentially improves the simulation results.
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Integrated Environmental Modelling to Solve Real World Problems: Methods, Vision and Challenges
The discipline of Integrated Environmental Modelling (IEM) has developed in order to solve complex environmental problems, for example understanding the impacts of climate change on the physical environment. IEM provides methods to fuse or link models together, this in turn requires facilities to make models discoverable and also to make the outputs of modelling easily visualized.
The vision and challenges for IEM going forward are summarized by leading proponents. Several case studies describe the application of model fusion to a range of real-world problems including integrating groundwater and recharge models within the UK Environment Agency, and the development of ‘catastrophe’ models to predict better the impact of natural hazards. Communicating modelling results to end users who are often not specialist modellers is also an emerging area of research addressed within the volume. Also included are papers that highlight current developments of the technology platforms underpinning model fusion.