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@ARTICLE{Masy:281429,
author = {Masy, Thibaut and Caterina, David and Tromme, Olivier and
Lavigne, Benoît and Thonart, Philippe and Hiligsmann, Serge
and Nguyen, Frédéric},
title = {{E}lectrical resistivity tomography to monitor enhanced
biodegradation of hydrocarbons with {R}hodococcus
erythropolis {T}902.1 at a pilot scale},
journal = {Journal of contaminant hydrology},
volume = {184},
issn = {0169-7722},
address = {Amsterdam [u.a.]},
publisher = {Elsevier Science},
reportid = {FZJ-2016-01122},
pages = {1 - 13},
year = {2016},
abstract = {Petroleum hydrocarbons (HC) represent the most widespread
contaminants and in-situ bioremediation remains a
competitive treatment in terms of cost and environmental
concerns. However, the efficiency of such a technique (by
biostimulation or bioaugmentation) strongly depends on the
environment affected and is still difficult to predict a
priori. In order to overcome these uncertainties, Electrical
Resistivity Tomography (ERT) appears as a valuable
non-invasive tool to detect soil heterogeneities and to
monitor biodegradation. The main objective of this study was
to isolate an electrical signal linked to an enhanced
bacterial activity with ERT, in an aged HC-contaminated clay
loam soil. To achieve this, a pilot tank was built to mimic
field conditions. Compared to a first insufficient
biostimulation phase, bioaugmentation with Rhodococcus
erythropolis T902.1 led to a HC depletion of almost $80\%$
(6900 to 1600 ppm) in 3 months in the center of the
contaminated zone, where pollutants were less bioavailable.
In the meantime, lithological heterogeneities and microbial
activities (growth and biosurfactant production) were
successively discriminated by ERT images. In the future,
this cost-effective technique should be more and more
transferred to the field in order to monitor biodegradation
processes and assist in selecting the most appropriate
remediation technique.},
cin = {IBG-3},
ddc = {550},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {255 - Terrestrial Systems: From Observation to Prediction
(POF3-255)},
pid = {G:(DE-HGF)POF3-255},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000370768400001},
pubmed = {pmid:26697744},
doi = {10.1016/j.jconhyd.2015.11.001},
url = {https://juser.fz-juelich.de/record/281429},
}