Time‐Lapsed Hydraulic Tomography for Monitoring Hydraulic Conductivity Field Evolution Caused by Pore‐Clogging

Abstract In situ chemical oxidation (ISCO) is widely used for soil and groundwater remediation. However, reagents often cause pore clogging due to metal ion precipitation, reducing hydraulic conductivity (K) and altering flow paths. This study investigates the impact of pore‐clogging on three‐dimensional K and flow fields during Fenton's reagent injection in a sandbox experiment. Time‐lapsed, steady‐state hydraulic tomography (HT) was employed to quantify the spatial evolution of the K field. Soil cores from low‐K regions were analyzed using inductively coupled plasma‐optical emission spectrometry for total iron (TI) concentration. Experimental results reveal a negative correlation between K and TI, with a maximum 56.5% decrease in K corresponding to a 30.8% increase in TI. This finding supports the use of HT to monitor K evolution due to pore clogging. We also found that pore‐clogging primarily occurred in high‐K zones near injection points. Solute transport simulation results based on the original and pore‐clogged K fields indicate that pore‐clogging impedes reagent transport, as evidenced by a larger high‐concentration region in the original K field. These results demonstrate that pore‐clogging from Fenton's reagent injection significantly affects K and reagent transport. Therefore, time‐lapsed HT is essential for updating K and flow fields to optimize reagent injection strategies. These findings provide valuable insights for hydraulic–geochemical studies, particularly in contaminated site remediation.

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Publication Details

Journal
Water Resources Research
Published
2025-02-27
DOI
https://doi.org/10.1029/2023wr036786
Citations
2
Primary Topic
Geophysical and Geoelectrical Methods
Type
article
Field-Weighted Citation Impact
3.73

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article

Time‐Lapsed Hydraulic Tomography for Monitoring Hydraulic Conductivity Field Evolution Caused by Pore‐Clogging

B.‐W. KE, Yo‐Jin Shiau, Chia‐Hao Chang, Jui‐Pin Tsai et al.
2 citations
Water Resources Research
Geophysical and Geoelectrical Methods
3.73
article

Time‐Lapsed Hydraulic Tomography for Monitoring Hydraulic Conductivity Field Evolution Caused by Pore‐Clogging

B.‐W. KE, Yo‐Jin Shiau, Chia‐Hao Chang, Jui‐Pin Tsai, Tian‐Chyi Jim Yeh, Bo‐Tsen Wang
article en
2 citations

Abstract

Abstract In situ chemical oxidation (ISCO) is widely used for soil and groundwater remediation. However, reagents often cause pore clogging due to metal ion precipitation, reducing hydraulic conductivity (K) and altering flow paths. This study investigates the impact of pore‐clogging on three‐dimensional K and flow fields during Fenton's reagent injection in a sandbox experiment. Time‐lapsed, steady‐state hydraulic tomography (HT) was employed to quantify the spatial evolution of the K field. Soil cores from low‐K regions were analyzed using inductively coupled plasma‐optical emission spectrometry for total iron (TI) concentration. Experimental results reveal a negative correlation between K and TI, with a maximum 56.5% decrease in K corresponding to a 30.8% increase in TI. This finding supports the use of HT to monitor K evolution due to pore clogging. We also found that pore‐clogging primarily occurred in high‐K zones near injection points. Solute transport simulation results based on the original and pore‐clogged K fields indicate that pore‐clogging impedes reagent transport, as evidenced by a larger high‐concentration region in the original K field. These results demonstrate that pore‐clogging from Fenton's reagent injection significantly affects K and reagent transport. Therefore, time‐lapsed HT is essential for updating K and flow fields to optimize reagent injection strategies. These findings provide valuable insights for hydraulic–geochemical studies, particularly in contaminated site remediation.

Water Resources ResearchVol. 61(3)
University of Arizona (US), National Taiwan University (TW)
National Science Foundation, National Science and Technology Council
Openalex Percentile: Top 10%
Geophysical and Geoelectrical Methods
3.73
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