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  4. <sup>222</sup>Rn as a Partitioning Tracer To Detect Diesel Fuel Contamination in Aquifers: Laboratory Study and Field Observations
 
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<sup>222</sup>Rn as a Partitioning Tracer To Detect Diesel Fuel Contamination in Aquifers: Laboratory Study and Field Observations

Auteur(s)
Hunkeler, Daniel 
Centre d'hydrogéologie et de géothermie 
Hoehn, E
Höhener, P
Zeyer, J
Date de parution
1997
In
Environmental Science & Technology, American Chemical Society, 1997/31/11/3180-3187
Résumé
The use of <sup>222</sup>Rn, a naturally occurring radioactive isotope, was investigated as a partitioning tracer to detect and quantify the amount of non-aqueous-phase liquids (NAPLs) in contaminated aquifers. Diesel fuel was chosen as a model NAPL. The diesel fuel-water partition coefficient for <sup>222</sup>Rn was 40 ± 2.3, in bottles containing diesel fuel and water at 12 °C. In water-saturated quartz sand contaminated with diesel fuel, the <sup>222</sup>Rn emanating from the sand partitioned between diesel fuel and water as expected based on this partition coefficient. In a column containing uncontaminated quartz sand, the <sup>222</sup>Rn activity in infiltrated water increased from <0.2 to 4.9 kBq m<sup>-3</sup>, and in a subsequent column containing diesel fuel-contaminated quartz sand, the <sup>222</sup>Rn activity in the water phase decreased to 3.3 kBq m<sup>-3</sup>. This decrease corresponds to what has been predicted using a mathematical model. At a contaminated field site, the <sup>222</sup>Rn activity of groundwater decreased by about 40% between monitoring wells upgradient of the contaminated zone and monitoring wells within the contaminated zone. On the basis of this decrease, the average diesel fuel saturation was estimated using the mathematical model. The calculated diesel fuel saturation was in the range of that found in excavated aquifer material.
Identifiants
https://libra.unine.ch/handle/123456789/4271
_
10.1021/es970163w
Type de publication
journal article
Dossier(s) à télécharger
 main article: Hunkeler_D-222Rn_as_a_partitioning_tracer-20170914.pdf (795.29 KB)
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