A Bayesian Assessment of an Approximate Model for Unconfined Water Flow in Sloping Layered Porous Media
- Submitting institution
-
University of Nottingham, The
- Unit of assessment
- 12 - Engineering
- Output identifier
- 1333255
- Type
- D - Journal article
- DOI
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10.1007/s11242-018-1094-2
- Title of journal
- Transport in Porous Media
- Article number
- -
- First page
- 177
- Volume
- 126
- Issue
- 1
- ISSN
- 0169-3913
- Open access status
- Compliant
- Month of publication
- June
- Year of publication
- 2018
- 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
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3
- Research group(s)
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U - Resilience Engineering
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The model to predict water table height in unconfined layered porous media presents the first opportunity to quickly, accurately and analytically predict water table height in railway ballast. This advancement is the critical step which enables the consideration of drainage performance, in response to extreme rainfall or climate change events, in railway asset management modelling, an important but previously problematic task for infrastructure engineers such as AECOM. Contact: Matthew Brough, Director, Rail Asset Management, Civil and Infrastructure, AECOM.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -