Prediction of biopore- and matrix-dominated flow from X-ray CT-derived
macropore network characteristics
- Submitting institution
-
The University of West London
- Unit of assessment
- 12 - Engineering
- Output identifier
- 12036
- Type
- D - Journal article
- DOI
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10.5194/hess-20-4017-2016
- Title of journal
- Hydrology and Earth System Sciences
- Article number
- -
- First page
- 4017
- Volume
- 20
- Issue
- -
- ISSN
- 1607-7938
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2016
- 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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6
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Prediction and modeling of subsurface localized flow processes in macropores are of crucial importance for sustaining both soil and water quality. Existing predictive models for subsurface macropore flow showed poor performance. Rigorously at the field scale, we suggested and verified that Ahuja et al. (1984) model for saturated hydraulic conductivity, air permeability, and gas diffusivity performed reasonably well when parameterized with novel X-ray Computed Tomography derived parameters such as effective percolating macroporosity for biopore-dominated flow and total macroporosity for matrix-dominated flow.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -