How Can I Effectively Integrate Multi-scale, High-resolution Conductivity-depth Imaging And Hydraulic Tomography To Identify Discrete Fracture Networks And Preferential Flow Paths In A Heterogeneous Aquifer Contaminated With Perchlorates From Nearby Agricultural Activities, And What Are The Implications For Optimizing Remediation Strategies And Predicting Long-term Plume Migration?

by ADMIN 385 views

To effectively integrate multi-scale, high-resolution conductivity-depth imaging and hydraulic tomography for identifying discrete fracture networks (DFN) and preferential flow paths in a contaminated aquifer, the following approach is proposed:

Approach

  1. Data Collection and Integration:

    • Conductivity-Depth Imaging: Use Electrical Resistivity Tomography (ERT) to gather high-resolution data on subsurface electrical properties. This helps identify fractures and geological layers.
    • Hydraulic Tomography: Conduct controlled hydraulic tests (e.g., pumping tests) to measure hydraulic responses across the aquifer, providing data on hydraulic conductivity and storage.

  2. Joint Inversion and Data Fusion:

    • Integrate ERT and hydraulic data through joint inversion, using conductivity data as a prior to constrain hydraulic models. This enhances the accuracy of hydraulic property estimates.
    • Apply geostatistical or machine learning techniques to fuse datasets, creating a comprehensive model that accounts for both electrical and hydraulic properties.

  3. Model Development:

    • Develop a detailed, multi-scale model of the aquifer using integrated data. This model will highlight DFNs and preferential flow paths by correlating high conductivity zones with hydraulic properties.

  4. Remediation Strategy Optimization:

    • Target identified pathways with focused remediation efforts such as pumping or chemical treatment to intercept contaminant plumes effectively.
    • Design efficient injection systems for remediation fluids based on the model's insights.

  5. Long-Term Plume Migration Prediction:

    • Utilize numerical models incorporating DFN and preferential paths to simulate contaminant transport under various scenarios, aiding in long-term planning and monitoring.

Implications

  • Efficient Remediation: Detailed understanding of aquifer structure allows for targeted, cost-effective remediation strategies.
  • Accurate Predictions: Enhanced models provide reliable forecasts of contaminant migration, supporting sustainable long-term management.
  • Resource Optimization: Focused efforts reduce costs and time, ensuring resources are used where most needed.

Conclusion

Integrating ERT and hydraulic tomography offers a powerful approach to mapping contamination pathways, optimizing remediation, and predicting plume behavior. This method ensures precise, efficient, and sustainable management of contaminated aquifers.