Abstract
Abstract
Soil and groundwater contamination are escalating due to anthropogenic activities, necessitating cost-effective remediation technologies. This study integrates laboratory experiments and numerical simulations to investigate extraction-injection circulation enhancing remediation agent transport in heterogeneous aquifers. A 2D irregular heterogeneous sandbox model was developed, with high-precision flow field inversion via hydraulic tomography using 20 tests ( R 2 > 0.89). Extraction-injection experiments varied well positions, injection modes, and agent concentrations. Remediation agent migration and distribution under flow were monitored through 36 sampling ports. Based on the advection-dispersion equation, the spatiotemporal agent distribution agreed with measurements ( R 2 > 0.71), validating reliability. Numerical modeling revealed that extraction-injection well elevation differences and pumping rates influence migration efficiency. Empirical equations quantified relationships between these factors and temporal/spatial agent distribution at extraction wells. This work elucidates recirculation-enhanced transport mechanisms, bridging high-precision groundwater modeling with remediation optimization. The findings provide a theoretical framework for designing efficient remediation systems at contaminated sites.
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@article{Qiu2026Enhanced,
title = {Enhanced remediation of contaminated aquifers by circulating flow field: Laboratory sandbox with quantitative analysis},
author = {Huiyang Qiu and Ziwen Zhou and L M Wang and Jing Hua and Chicgoua Noubactep and Yang Song and Yizhi Yuan and Rui Hu},
journal = {iScience},
year = {2026},
doi = {10.1016/j.isci.2026.116237},
url = {https://doi.org/10.1016/j.isci.2026.116237}
}
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