Spatialization of saturated hydraulic conductivity using the Bayesian Maximum Entropy method: Application to...

Area of Science:

• Environmental Engineering
• Soil Science
• Hydrology

Background:

• Wastewater treatment is crucial for European water quality and sustainability.
• Soil infiltration is a key practice for wastewater management, especially in rural areas.
• Designing effective soil infiltration systems is hindered by the difficulty in measuring soil properties.

Purpose of the Study:

• To develop a more efficient method for characterizing heterogeneous soils for wastewater infiltration.
• To overcome the challenges associated with traditional methods of measuring saturated hydraulic conductivity (Ks).
• To facilitate the design of infiltration areas in complex soil environments.

Main Methods:

• Integration of 2D electrical resistivity tomography (ERT) with infiltration tests.
• Application of the Bayesian Maximum Entropy (BME) method for data processing.
• Development of a technique for vertical mapping of soil heterogeneities at a metric scale.

Main Results:

• The proposed method provides a detailed vertical map of soil heterogeneities.
• It overcomes the limitations of costly and time-consuming traditional Ks measurements.
• The technique offers a more accurate understanding of soil properties relevant to infiltration.

Conclusions:

• The integrated ERT-infiltration-BME method significantly enhances the design process for soil infiltration areas.
• This approach is particularly valuable for heterogeneous soil conditions.
• It contributes to more sustainable and effective wastewater management strategies.