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IN SITU MONITORING OF LNAPL-CONTAMINATED AQUIFER REMEDIATION USING ULTRAVIOLET LIGHT-INDUCED FLUORESCENCE IMAGING
Bewi, R., A. Rodriguez de Castro, and O. Atteia.
Journal of Hazardous Materials 501:140841(2026)
Filed Under: Cleanup News
Filed Under: Cleanup News
A project proposed and validated an innovative implementation of an in situ monitoring technique for LNAPL remediation treatments, based on ultraviolet light-induced fluorescence imaging (UVIF) combined with automated image post-treatment, to enable in situ and real-time monitoring of decontamination processes. A mini-camera integrated into a set of transparent wells embedded in the subsurface of LNAPL-contaminated zones was used to monitor a surfactant injection remediation process and a skimming operation involving groundwater drawdown. The technique was first calibrated and validated through lab and pilot-scale experiments, then used at a diesel-contaminated site. The pilot test revealed differences of <5% between recovery factors obtained via gas chromatography of soil samples and those measured with the proposed imaging technique. Site-specific calibration correlated fluorescence intensity from endoscopic images in transparent tubes with GC-analyzed LNAPL content, showing a strong correlation and relative errors below 10%. This enabled accurate in situ estimation of LNAPL variations: content remained mostly unchanged without treatment, decreased moderately during pumping and skimming, and dropped substantially during surfactant injection. The capability supports immediate treatment adjustments, thereby optimizing contaminant recovery rates. Results demonstrate that UVIF can effectively guide remediation operations by providing rapid feedback on contaminant removal dynamics. This near real-time capability enables optimization of treatment parameters, such as surfactant dosage, injection timing, or pumping duration, thereby improving hydrocarbon recovery efficiency. UVIF offers an alternative to conventional drilling-based methods, while improving measurement reproducibility and eliminating the need for destructive sampling. https://www.sciencedirect.com/science/article/pii/S0304389425037628/pdfft?md5=d149b96654aec43eca56fa4b224c9d30&pid=1-s2.0-S0304389425037628-main.pdf
Journal of Hazardous Materials 501:140841(2026)
Filed Under: Cleanup News
Filed Under: Cleanup News
A project proposed and validated an innovative implementation of an in situ monitoring technique for LNAPL remediation treatments, based on ultraviolet light-induced fluorescence imaging (UVIF) combined with automated image post-treatment, to enable in situ and real-time monitoring of decontamination processes. A mini-camera integrated into a set of transparent wells embedded in the subsurface of LNAPL-contaminated zones was used to monitor a surfactant injection remediation process and a skimming operation involving groundwater drawdown. The technique was first calibrated and validated through lab and pilot-scale experiments, then used at a diesel-contaminated site. The pilot test revealed differences of <5% between recovery factors obtained via gas chromatography of soil samples and those measured with the proposed imaging technique. Site-specific calibration correlated fluorescence intensity from endoscopic images in transparent tubes with GC-analyzed LNAPL content, showing a strong correlation and relative errors below 10%. This enabled accurate in situ estimation of LNAPL variations: content remained mostly unchanged without treatment, decreased moderately during pumping and skimming, and dropped substantially during surfactant injection. The capability supports immediate treatment adjustments, thereby optimizing contaminant recovery rates. Results demonstrate that UVIF can effectively guide remediation operations by providing rapid feedback on contaminant removal dynamics. This near real-time capability enables optimization of treatment parameters, such as surfactant dosage, injection timing, or pumping duration, thereby improving hydrocarbon recovery efficiency. UVIF offers an alternative to conventional drilling-based methods, while improving measurement reproducibility and eliminating the need for destructive sampling. https://www.sciencedirect.com/science/article/pii/S0304389425037628/pdff
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