Field performance of the radon-deficit technique to detect and delineate a complex DNAPL accumulation in a multi-layer soil profile.

Environ Pollut

Prospecting & Environment Laboratory (PROMEDIAM), Universidad Politécnica de Madrid, Alenza 4, 28003, Madrid, Spain.

Published: January 2021

The performance of the radon (Rn)-deficit technique has been evaluated at a site in which a complex DNAPL mixture (mostly hexachlorocyclohexanes and chlorobenzenes) has contaminated all four layers (from top to bottom: anthropic backfill, silt, gravel and marl) of the soil profile. Soil gas samples were collected at two depths (0.8 m and 1.7 m) in seven field campaigns and a total of 186 Rn measurements were performed with a pulse ionization detector. A statistical assessment of the influence of field parameters on the results revealed that sampling depth and atmospheric pressure did not significantly affect the measurements, while the location of the sampling point and ground-level atmospheric temperature did. In order to remove the bias introduced by varying field temperatures and hence to be able to jointly interpret Rn measurements from different campaigns, Rn concentrations were rescaled by dividing each individual datum by the mean Rn concentration of its corresponding field campaign. Rescaled Rn maps showed a high spatial correlation between Rn minima and maximum contaminant concentrations in the top two layers of the soil profile, successfully delineating the surface trace of DNAPL accumulation in the anthropic backfill and silt layers. However, no correlation could be established between Rn concentrations in superficial soil gas and contaminant concentration in the deeper two layers of the soil profile. These results indicate that the Rn-deficit technique is unable to describe the vertical variation of contamination processes with depth but can be an effective tool for the preliminary characterization of sites in which the distance between the inlet point of the sampling probe and the contaminant accumulation falls within the effective diffusion length of Rn in the affected soil profile.

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Source
http://dx.doi.org/10.1016/j.envpol.2020.116200DOI Listing

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