用于决策支持的地下水建模实践:瑞典的启示。

IF 5.8 2区 环境科学与生态学 Q2 ENGINEERING, ENVIRONMENTAL
Ambio Pub Date : 2024-10-14 DOI:10.1007/s13280-024-02068-7
Nikolas Benavides Höglund, Charlotte Sparrenbom, Roland Barthel, Emil Haraldsson
{"title":"用于决策支持的地下水建模实践:瑞典的启示。","authors":"Nikolas Benavides Höglund, Charlotte Sparrenbom, Roland Barthel, Emil Haraldsson","doi":"10.1007/s13280-024-02068-7","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":461,"journal":{"name":"Ambio","volume":" ","pages":""},"PeriodicalIF":5.8000,"publicationDate":"2024-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Groundwater modelling for decision-support in practice: Insights from Sweden.\",\"authors\":\"Nikolas Benavides Höglund, Charlotte Sparrenbom, Roland Barthel, Emil Haraldsson\",\"doi\":\"10.1007/s13280-024-02068-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":461,\"journal\":{\"name\":\"Ambio\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":5.8000,\"publicationDate\":\"2024-10-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ambio\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.1007/s13280-024-02068-7\",\"RegionNum\":2,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, ENVIRONMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ambio","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1007/s13280-024-02068-7","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
引用次数: 0

摘要

地下水是全世界饮用水、食品生产和工业应用的重要资源。过度开采和污染对地下水的可持续性构成了重大风险。地下水模型是优化利用、管理风险和辅助决策的有力工具。为此,模型应吸收相关数据并量化结果的不确定性。我们研究了 2010 年至 2023 年瑞典用于特征描述和决策支持的应用模型。我们还审查了瑞典高等教育中与水相关课程的教学大纲,以评估地下水建模教育的内容和程度。我们发现,在过去二十年中,地下水建模在学术上取得的重要进展并未转化为瑞典工业界的实际应用,不确定性量化很少开展,地下水建模在高等教育中的优先级仍然很低。基于这些研究结果,我们提出了一些建议,这些建议虽然是根据瑞典的国情提出的,但对国际上的教育机构、工业界和决策者都有借鉴意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Groundwater modelling for decision-support in practice: Insights from Sweden.

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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Ambio
Ambio 环境科学-工程:环境
CiteScore
14.30
自引率
3.10%
发文量
123
审稿时长
6 months
期刊介绍: Explores the link between anthropogenic activities and the environment, Ambio encourages multi- or interdisciplinary submissions with explicit management or policy recommendations. Ambio addresses the scientific, social, economic, and cultural factors that influence the condition of the human environment. Ambio particularly encourages multi- or inter-disciplinary submissions with explicit management or policy recommendations. For more than 45 years Ambio has brought international perspective to important developments in environmental research, policy and related activities for an international readership of specialists, generalists, students, decision-makers and interested laymen.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信