Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2019WR025227 |
Hydrogeological Modeling and Water Resources Management: Improving the Link Between Data, Prediction, and Decision Making | |
Harken, Bradley1; Chang, Ching-Fu1; Dietrich, Peter2; Kalbacher, Thomas3; Rubin, Yoram1 | |
2019-12-01 | |
发表期刊 | WATER RESOURCES RESEARCH
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ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2019 |
卷号 | 55期号:12页码:10340-10357 |
文章类型 | Article |
语种 | 英语 |
国家 | USA; Germany |
英文摘要 | A risk-based decision-making mechanism capable of accounting for uncertainty regarding local conditions is crucial to water resources management, regulation, and policy making. Despite the great potential of hydrogeological models in supporting water resources decisions, challenges remain due to the many sources of uncertainty as well as making and communicating decisions mindful of this uncertainty. This paper presents a framework that utilizes statistical hypothesis testing and an integrated approach to the planning of site characterization, modeling prediction, and decision making. Benefits of this framework include aggregated uncertainty quantification and risk evaluation, simplified communication of risk between stakeholders, and improved defensibility of decisions. The framework acknowledges that obtaining absolute certainty in decision making is impossible; rather, the framework provides a systematic way to make decisions in light of uncertainty and determine the amount of information required. In this manner, quantitative evaluation of a field campaign design is possible before data are collected, beginning from any knowledge state, which can be updated as more information becomes available. We discuss the limitations of this approach by the types of uncertainty that can be recognized and make suggestions for addressing the rest. This paper presents the framework in general and then demonstrates its application in a synthetic case study. Results indicate that the effectiveness of field campaigns depends not only on the environmental performance metric being predicted but also on the threshold value in decision-making processes. The findings also demonstrate that improved parameter estimation does not necessarily lead to better decision making, thus reemphasizing the need for goal-oriented characterization. |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000509943100016 |
WOS关键词 | SITE CHARACTERIZATION ; PARAMETER-ESTIMATION ; WELL VULNERABILITY ; GEOPHYSICAL-DATA ; RISK-ASSESSMENT ; UNCERTAINTY ; DISTRIBUTIONS ; HEALTH ; IMPACT |
WOS类目 | Environmental Sciences ; Limnology ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/223942 |
专题 | 资源环境科学 |
作者单位 | 1.Univ Calif Berkeley, Dept Civil & Environm Engn, Berkeley, CA 94720 USA; 2.Helmholtz Ctr Environm Res GmbH UFZ, Dept Monitoring & Explorat Technol, Leipzig, Germany; 3.Helmholtz Ctr Environm Res GmbH UFZ, Dept Environm Informat, Leipzig, Germany |
推荐引用方式 GB/T 7714 | Harken, Bradley,Chang, Ching-Fu,Dietrich, Peter,et al. Hydrogeological Modeling and Water Resources Management: Improving the Link Between Data, Prediction, and Decision Making[J]. WATER RESOURCES RESEARCH,2019,55(12):10340-10357. |
APA | Harken, Bradley,Chang, Ching-Fu,Dietrich, Peter,Kalbacher, Thomas,&Rubin, Yoram.(2019).Hydrogeological Modeling and Water Resources Management: Improving the Link Between Data, Prediction, and Decision Making.WATER RESOURCES RESEARCH,55(12),10340-10357. |
MLA | Harken, Bradley,et al."Hydrogeological Modeling and Water Resources Management: Improving the Link Between Data, Prediction, and Decision Making".WATER RESOURCES RESEARCH 55.12(2019):10340-10357. |
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