Groundwater modelling for decision-support in practice: Insights from Sweden
Benavides Höglund, Nikolas LU
; Sparrenbom, Charlotte J.
LU
; Barthel, Roland
and Haraldsson, Emil
(2024)
In Ambio: a Journal of Environment and Society
- Abstract
- 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... (More) - 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. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/99b765b7-4480-4d0b-892a-64d7ae157ddd
- author
- Benavides Höglund, Nikolas
LU
; Sparrenbom, Charlotte J.
LU
; Barthel, Roland
and Haraldsson, Emil
- organization
- publishing date
- 2024-10-14
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Data assimilation, Decision support, Groundwater, Groundwater model, Uncertainty analysis
- in
- Ambio: a Journal of Environment and Society
- publisher
- Springer
- external identifiers
-
- pmid:39400882
- scopus:85206815135
- ISSN
- 0044-7447
- DOI
- 10.1007/s13280-024-02068-7
- language
- English
- LU publication?
- yes
- id
- 99b765b7-4480-4d0b-892a-64d7ae157ddd
- date added to LUP
- 2024-10-15 13:21:08
- date last changed
- 2024-12-11 04:05:05
@article{99b765b7-4480-4d0b-892a-64d7ae157ddd,
abstract = {{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<br/>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<br/>by the Swedish context, hold relevance for educational institutions, industry, and decision-makers internationally.}},
author = {{Benavides Höglund, Nikolas and Sparrenbom, Charlotte J. and Barthel, Roland and Haraldsson, Emil}},
issn = {{0044-7447}},
keywords = {{Data assimilation; Decision support; Groundwater; Groundwater model; Uncertainty analysis}},
language = {{eng}},
month = {{10}},
publisher = {{Springer}},
series = {{Ambio: a Journal of Environment and Society}},
title = {{Groundwater modelling for decision-support in practice: Insights from Sweden}},
url = {{http://dx.doi.org/10.1007/s13280-024-02068-7}},
doi = {{10.1007/s13280-024-02068-7}},
year = {{2024}},
}