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Stress Distribution During Cold Compression of Rocks and Mineral Aggregates Using Synchrotron-based X-Ray Diffraction
Published on: May 20, 2018
Field-scale effective matrix diffusion coefficient for fractured rock: results from literature survey
Quanlin Zhou1, Hui-Hai Liu, Fred J Molz
1Earth Sciences Division, Lawrence Berkeley National Laboratory, University of California, Berkeley, CA 94720, USA. QZhou@lbl.gov
Field studies reveal that the effective matrix diffusion coefficient in fractured rock is larger than lab measurements, suggesting scale-dependent transport. This impacts contaminant and radionuclide movement assessments.
Area of Science:
- Geosciences
- Hydrogeology
- Environmental Engineering
Background:
- Matrix diffusion is a critical solute transport mechanism in fractured rock formations.
- The effective matrix diffusion coefficient (D(m)(e)) is key for field-scale transport modeling.
- Understanding scale-dependent transport is crucial for environmental assessments.
Purpose of the Study:
- To survey and analyze field-scale effective matrix diffusion coefficients (D(m)(e)) from existing tracer tests.
- To investigate the relationship between D(m)(e) and observation scale in fractured rock.
- To assess the implications of scale-dependent transport for contaminant and radionuclide movement.
Main Methods:
- Literature survey of 40 field tracer tests at 15 fractured geologic sites.
- Calculation of field-scale D(m)(e) values from reported data or reanalysis.
- Application of analytic or semi-analytic solutions for tracer transport modeling.
Main Results:
- Field-scale D(m)(e) values are generally larger than lab-scale D(m) values (scale factor > 1).
- A trend of increasing scale factor with observation scale indicates statistical scale-dependency.
- Scale factor ranges from 0.5 to 884 across observation scales of 5 to 2000 m, with significant heterogeneity influence.
Conclusions:
- The effective matrix diffusion coefficient is statistically scale-dependent in fractured rock.
- Field-scale dispersivity also shows scale-dependency, consistent with prior research.
- Scale-dependent parameters are vital for accurate long-term transport predictions in nuclear waste disposal and remediation.
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