Estimating groundwater mixing ratios and their uncertainties using a statistical multi parameter approach

2005 ◽  
Vol 305 (1-4) ◽  
pp. 1-14 ◽  
Author(s):  
Joerg Rueedi ◽  
Roland Purtschert ◽  
Urs Beyerle ◽  
Carmen Alberich ◽  
Rolf Kipfer
2020 ◽  
Author(s):  
Andrea L. Popp ◽  
Álvaro Pardo-Álvarez ◽  
Oliver S. Schilling ◽  
Stéphanie Musy ◽  
Andreas Scheidegger ◽  
...  

<p class="western"><span lang="en-US">The quality and quantity of alluvial groundwater in mountainous areas are particularly susceptible to the effects of climate change, as well as increasing pollution from agriculture and urbanization. Understanding mixing between surface water and groundwater as well as groundwater travel times in such systems is thus crucial to sustain a safe and sufficient water supply. We used a novel combination of real-time, in-situ noble gas analysis to quantify groundwater mixing of recently infiltrated river water (<em>F<sub>rw</sub></em><!-- Please note that everything in “$$” will look differently once submitted -->) and regional groundwater, as well as travel times of <em>F<sub>rw</sub></em> during a two-month groundwater pumping test carried out at a drinking water wellfield in a prealpine valley in Switzerland. Transient groundwater mixing ratios were calculated using helium-4 concentrations combined with a Bayesian end-member mixing model. Having identified the groundwater fraction of <em>F<sub>rw</sub></em> consequently allowed us to infer the travel times from the stream to the wellfield, estimated based on radon-222 activities of <em>F<sub>rw</sub></em>. Additionally, we compared and validated our tracer-based estimates of <em>F<sub>rw</sub></em> using a calibrated surface water-groundwater model. Our findings show that (i) mean travel times of <em>F<sub>rw</sub></em> are in the order of two weeks, (ii) during most of the experiment, <em>F<sub>rw</sub></em> is substantially high (~70\%), and (iii) increased groundwater pumping only has a marginal effect on groundwater mixing ratios and travel times. The high fraction of <em>F<sub>rw</sub></em> in the abstracted groundwater and its short travel times emphasize the vulnerability of mountainous regions to present and predicted environmental changes.</span></p>


2013 ◽  
Vol 8 (3-4) ◽  
pp. 399-408
Author(s):  
Linhua Sun

Identification of groundwater mixing and calculation of the mixing ratios between aquifers are important work for hydrological studies and safety of coal mining. In this study, multivariate statistical methods including factor and cluster analysis have been presented for identification of groundwater mixing status in the Renlou coal mine, northern Anhui Province, China. The methods include three steps: identification of hydraulic connection between aquifers by using factor score plots in combination with Q-mode cluster analysis, selection of end members and mass balance calculation for revealing mixing ratios. The hydraulic connection between loose layer and limestone aquifers have been identified in the Renlou coal mine, and three representative end member water samples, as well as mixed samples have been identified. Moreover, the mixing ratios for mixed samples are also calculated. The results indicate that the methods can be used for identification of mixing and quantification of mixing ratios in groundwater systems.


2018 ◽  
Author(s):  
Amelia R. Nelson ◽  
◽  
Michael J. Wilkins ◽  
Casey M. Saup ◽  
Savannah R. Bryant ◽  
...  
Keyword(s):  

2005 ◽  
Vol 78 (17) ◽  
pp. 1412-1436 ◽  
Author(s):  
N. L. C. Chui ◽  
J. M. Maciejowski

Sign in / Sign up

Export Citation Format

Share Document