Groundwater modelling for decision-support in practice: Insights from Sweden
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| Title: | Groundwater modelling for decision-support in practice: Insights from Sweden |
|---|---|
| Authors: | Benavides Höglund, Nikolas, Sparrenbom, Charlotte J., Barthel, Roland, Haraldsson, Emil |
| Contributors: | Lund University, Faculty of Science, Department of Geology, Quaternary Sciences, Lunds universitet, Naturvetenskapliga fakulteten, Geologiska institutionen, Kvartärgeologi, Originator |
| Source: | Ambio: a Journal of Environment and Society. |
| Subject Terms: | Natural Sciences, Earth and Related Environmental Sciences, Oceanography, Hydrology and Water Resources, Naturvetenskap, Geovetenskap och relaterad miljövetenskap, Oceanografi, hydrologi och vattenresurser, Engineering and Technology, Environmental Engineering, Environmental Management, Teknik, Naturresursteknik, Miljöteknik och miljöledning, Mathematical Sciences, Computational Mathematics, Matematik, Beräkningsmatematik, Civil Engineering, Geotechnical Engineering and Engineering Geology, Samhällsbyggnadsteknik, Geoteknik och teknisk geologi, Water Engineering, Vattenteknik, Environmental Sciences, Miljövetenskap |
| Description: | Groundwater is an essential resource for drinking water, food production, and industrial applications worldwide. Over-exploitation and pollution pose significant risks to groundwater sustainability. Groundwater models can be powerful tools for optimizing use, managing risks, and aiding decision making. For this purpose, models should assimilate pertinent data and quantify uncertainties in outcomes. We examine applied modelling for characterization and decision support in Sweden from 2010 to 2023. We also review syllabi of water related courses in Swedish higher education to assess the inclusion and extent of groundwater modelling education. We find that important academic advances in groundwater modelling over the past two decades have not translated into practical application within Sweden’s industry, that uncertainty quantification is rarely undertaken, and that groundwater modelling remains a low priority in higher education. Based on these findings, we offer recommendations that, while informed by the Swedish context, hold relevance for educational institutions, industry, and decision-makers internationally. |
| Access URL: | https://doi.org/10.1007/s13280-024-02068-7 |
| Database: | SwePub |
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