Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2019WR025677 |
Integrating Bayesian Groundwater Mixing Modeling With On-Site Helium Analysis to Identify Unknown Water Sources | |
Popp, Andrea L.1,2; Scheidegger, Andreas3; Moeck, Christian1; Brennwald, Matthias S.1; Kipfer, Rolf1,2,4 | |
2019-12-11 | |
发表期刊 | WATER RESOURCES RESEARCH |
ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2019 |
卷号 | 55期号:12页码:10602-10615 |
文章类型 | Article |
语种 | 英语 |
国家 | Switzerland |
英文摘要 | Analyzing groundwater mixing ratios is crucial for many groundwater management tasks such as assessing sources of groundwater recharge and flow paths. However, estimating groundwater mixing ratios is affected by various uncertainties, which are related to analytical and measurement errors of tracers, the selection of end-members, and finding the most suitable set of tracers. Although these uncertainties are well recognized, it is still not common practice to account for them. We address this issue by using a new set of tracers in combination with a Bayesian modeling approach, which explicitly considers the possibility of unknown end-members while fully accounting for tracer uncertainties. We apply the Bayesian model we developed to a tracer set, which includes helium (He-4) analyzed on site to determine mixing ratios in groundwater. Thereby, we identify an unknown end-member that contributes up to 84 +/- 9% to the water mixture observed at our study site. For the He-4 analysis, we use a newly developed Gas Equilibrium Membrane Inlet Mass Spectrometer (GE-MIMS), operated in the field. To test the reliability of on-site He-4 analysis, we compare results obtained with the GE-MIMS to the conventional lab-based method, which is comparatively expensive and labor intensive. Our work demonstrates that (i) tracer-aided Bayesian mixing modeling can detect unknown water sources, thereby revealing valuable insights into the conceptual understanding of the groundwater system studied, and (ii) on-site He-4 analysis with the GE-MIMS system is an accurate and reliable alternative to the lab-based analysis. |
英文关键词 | groundwater mixing Baysian mixing modeling new tracer methods end-member mixing helium conceptual model |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000502311100001 |
WOS关键词 | SOILWATER END-MEMBERS ; HYDROCHEMICAL EVOLUTION ; STREAMWATER CHEMISTRY ; STABLE-ISOTOPE ; UNCERTAINTY ; AQUIFER ; FLOW ; COMPONENTS ; CATCHMENT ; SALINITY |
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/223975 |
专题 | 资源环境科学 |
作者单位 | 1.Swiss Fed Inst Aquat Sci & Technol, Dept Water Resources & Drinking Water, Eawag, Dubendorf, Switzerland; 2.Swiss Fed Inst Technol, Dept Environm Syst Sci, Zurich, Switzerland; 3.Eawag, Dept Syst Anal Integrated Assessment & Modelling, Dubendorf, Switzerland; 4.Swiss Fed Inst Technol, Dept Earth Sci, Zurich, Switzerland |
推荐引用方式 GB/T 7714 | Popp, Andrea L.,Scheidegger, Andreas,Moeck, Christian,et al. Integrating Bayesian Groundwater Mixing Modeling With On-Site Helium Analysis to Identify Unknown Water Sources[J]. WATER RESOURCES RESEARCH,2019,55(12):10602-10615. |
APA | Popp, Andrea L.,Scheidegger, Andreas,Moeck, Christian,Brennwald, Matthias S.,&Kipfer, Rolf.(2019).Integrating Bayesian Groundwater Mixing Modeling With On-Site Helium Analysis to Identify Unknown Water Sources.WATER RESOURCES RESEARCH,55(12),10602-10615. |
MLA | Popp, Andrea L.,et al."Integrating Bayesian Groundwater Mixing Modeling With On-Site Helium Analysis to Identify Unknown Water Sources".WATER RESOURCES RESEARCH 55.12(2019):10602-10615. |
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