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◆ Water research2026-09-10

Gas clogging in porous media driven by dissolved-gas disequilibrium: a mechanistic study based on experiments and process-based modeling.

Yalin Song, Xiaofeng Ma, Xueyan Ye, Wei Fan, Xinqiang Du, Xinwang Li, Suying Ma, Yinhuan Fu

原始摘要(英文原文)· Original abstract
Gas clogging can reduce the efficiency of managed aquifer recharge (MAR), yet its controlling mechanisms remain insufficiently quantified. Using sand-column experiments combined with a process-based model, we investigated whether hydraulic-conductivity decline in clean sand is primarily associated with externally supplied micro-nano bubbles or with dissolved-gas transfer and growth of pre-existing trapped gas. The measured influent micro-nano bubble population was dominated by submicron sizes and represented a very small detectable gas volume, making direct pore filling by this resolved fraction alone unlikely to account for the observed hydraulic decline. Inlet-outlet dissolved oxygen measurements indicate non-conservative dissolved-gas behavior within the sand column, consistent with gas exchange between the flowing water and an immobile trapped gas phase. Across the six experiments, relative hydraulic conductivity decreased by 53.7-85.3% during micro-nano bubble-water recharge, whereas substantially smaller changes occurred in the pure water controls. Clogging intensity increased with recharge rate and higher initial DO conditions, consistent with coupled effects of dissolved-gas condition and advective gas supply. The coupled model reproduced both hydraulic and DO responses, with K/K0 RMSEs of 0.070 and 0.045 and outlet-DO RMSEs of 0.145 and 0.126 mg L-1 for E4 and E2, respectively. Overall, the results suggest that gas clogging under clean-sand conditions is more consistent with dissolved-gas transfer and growth of pre-existing trapped bubbles than with direct pore blockage by the measured influent bubble population.
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Gas clogging in porous media driven by dissolved-gas disequilibrium: a mechanistic study based on experiments and process-based modeling. — 科研速览 Science Skim