Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2017WR020919 |
Reconnecting Stochastic Methods With Hydrogeological Applications: A Utilitarian Uncertainty Analysis and Risk Assessment Approach for the Design of Optimal Monitoring Networks | |
Bode, Felix1; Ferre, Ty2; Zigelli, Niklas3; Emmert, Martin4; Nowak, Wolfgang1 | |
2018-03-01 | |
发表期刊 | WATER RESOURCES RESEARCH
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ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2018 |
卷号 | 54期号:3页码:2270-2287 |
文章类型 | Article |
语种 | 英语 |
国家 | Germany; USA |
英文摘要 | Collaboration between academics and practitioners promotes knowledge transfer between research and industry, with both sides benefiting greatly. However, academic approaches are often not feasible given real-world limits on time, cost and data availability, especially for risk and uncertainty analyses. Although the need for uncertainty quantification and risk assessment are clear, there are few published studies examining how scientific methods can be used in practice. In this work, we introduce possible strategies for transferring and communicating academic approaches to real-world applications, countering the current disconnect between increasingly sophisticated academic methods and methods that work and are accepted in practice. We analyze a collaboration between academics and water suppliers in Germany who wanted to design optimal groundwater monitoring networks for drinking-water well catchments. Our key conclusions are: to prefer multiobjective over single-objective optimization; to replace Monte-Carlo analyses by scenario methods; and to replace data-hungry quantitative risk assessment by easy-to-communicate qualitative methods. For improved communication, it is critical to set up common glossaries of terms to avoid misunderstandings, use striking visualization to communicate key concepts, and jointly and continually revisit the project objectives. Ultimately, these approaches and recommendations are simple and utilitarian enough to be transferred directly to other practical water resource related problems. |
英文关键词 | Optimal groundwater monitoring reconnecting science and practice communication strategies risk assessment uncertainty analysis multiobjective optimization |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000430364900047 |
WOS关键词 | GROUNDWATER-FLOW SYSTEM ; VULNERABILITY CRITERIA ; WELL VULNERABILITY ; MODEL PREDICTIONS ; POROUS-MEDIA ; MANAGEMENT ; OPTIMIZATION ; TRANSPORT ; SIMULATIONS ; CALIBRATION |
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/19955 |
专题 | 资源环境科学 |
作者单位 | 1.Univ Stuttgart, Dept Stochast Simulat & Safety Res Hydrosyst, Stuttgart, Germany; 2.Univ Arizona, Dept Hydrol & Atmospher Sci, Tucson, AZ USA; 3.Deutscher Verein Gas & Wasserfaches eV, Tech Wissensch Verein, Landesgrp Baden Wurttemberg, Stuttgart, Germany; 4.Zweckverband Landeswasserversorgung, Stuttgart, Germany |
推荐引用方式 GB/T 7714 | Bode, Felix,Ferre, Ty,Zigelli, Niklas,et al. Reconnecting Stochastic Methods With Hydrogeological Applications: A Utilitarian Uncertainty Analysis and Risk Assessment Approach for the Design of Optimal Monitoring Networks[J]. WATER RESOURCES RESEARCH,2018,54(3):2270-2287. |
APA | Bode, Felix,Ferre, Ty,Zigelli, Niklas,Emmert, Martin,&Nowak, Wolfgang.(2018).Reconnecting Stochastic Methods With Hydrogeological Applications: A Utilitarian Uncertainty Analysis and Risk Assessment Approach for the Design of Optimal Monitoring Networks.WATER RESOURCES RESEARCH,54(3),2270-2287. |
MLA | Bode, Felix,et al."Reconnecting Stochastic Methods With Hydrogeological Applications: A Utilitarian Uncertainty Analysis and Risk Assessment Approach for the Design of Optimal Monitoring Networks".WATER RESOURCES RESEARCH 54.3(2018):2270-2287. |
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