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Dipole Flow Tracer Test Models for Identifying Skin Properties and Ambient Groundwater Flow Effects
1Hubei Key Laboratory of Yangtze Catchment Environmental Aquatic Science, School of Environmental studies, China University of Geosciences, Wuhan, 430074, Hubei, People's Republic of China.
Ground Water
|October 17, 2022
Summary
Dipole flow tests with a tracer (DFTT) effectively interpret aquifer parameters. This study introduces a model accounting for skin and ambient groundwater flow (AGF) to improve DFTT accuracy and avoid misinterpreting reactions.
Area of Science:
- Hydrogeology
- Environmental Science
- Geochemistry
Background:
- Dipole flow tests with a tracer (DFTT) are valuable for aquifer characterization.
- Previous studies have not comprehensively addressed skin and ambient groundwater flow (AGF) effects on DFTT.
- Understanding these effects is crucial for accurate solute transport interpretation.
Purpose of the Study:
- To develop a mathematical model for DFTT that incorporates skin and AGF effects.
- To investigate DFTT's potential for identifying skin properties.
- To establish methods for mitigating AGF impacts on DFTT.
Main Methods:
- Development of a mathematical model for DFTT including skin and AGF.
- Analysis of solute transport under various skin conditions and AGF influences.
- Categorization of breakthrough curves (BTCs) based on skin effects.
- Definition of a dimensionless parameter to quantify AGF impact.
Main Results:
- Negative skin enhances tracer transport, acting as a preferential pathway.
- AGF effects on BTCs can be erroneously interpreted as reactions.
- Four distinct BTC types were identified, each indicative of specific skin properties.
- A dimensionless parameter quantifies AGF's overestimation of reaction rates.
Conclusions:
- The developed model accurately accounts for skin and AGF in DFTT.
- DFTT can identify skin properties, and AGF effects can be managed.
- Adjusting field parameters to maintain a dimensionless parameter below 3.7% minimizes reaction rate overestimation to under 50%.
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