A Bayesian modeling approach for estimation of a shape-free groundwater age distribution using multiple tracers
- Submitting institution
-
The University of Birmingham
- Unit of assessment
- 12 - Engineering
- Output identifier
- 30332900
- Type
- D - Journal article
- DOI
-
10.1016/j.apgeochem.2013.10.004
- Title of journal
- Applied Geochemistry
- Article number
- -
- First page
- 252
- Volume
- 50
- Issue
- -
- ISSN
- 0883-2927
- Open access status
- Out of scope for open access requirements
- Month of publication
- November
- Year of publication
- 2014
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
3
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The originality of the novel Bayesian groundwater age model presented in this paper lies in the consideration of complex and uncertain heterogeneous isotope tracer samples with varying spatial and temporal boundary conditions. The resulting probabilistic estimations of groundwater age is significant as it leads to accurate assessments of groundwater recharge and contamination dynamics, which is vital for protecting the groundwater ecosystem. The findings have been used to estimate groundwater recharge in France (doi:10.1016/j.apgeochem.2013.10.006) and assess Nitrate vulnerability in the USA (http://dx.doi.org/10.1016/j.jhydrol.2016.04.028). The paper has resulted in major collaboration with Lawrence Livermore National Laboratory.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -