2018
DOI: 10.1016/j.scitotenv.2018.01.158
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Influence of environmental changes on the biogeochemistry of arsenic in a soil polluted by the destruction of chemical weapons: A mesocosm study

Abstract: Thermal destruction of chemical munitions from World War I led to the formation of a heavily contaminated residue that contains an unexpected mineral association in which a microbial As transformation has been observed. A mesocosm study was conducted to assess the impact of water saturation episodes and input of bioavailable organic matter (OM) on pollutant behavior in relation to biogeochemical parameters. Over a period of about eight (8) months, the contaminated soil was subjected to cycles of dry and wet pe… Show more

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Cited by 10 publications
(11 citation statements)
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“…Each core was separated into four samples, H1 0-12.5 cm, H2 12.5-6 28 cm, H3 28-42 cm, and H4 42-75 cm. Sub-samples were dried and dedicated to soil characterization presented in Thouin et al (2018) and 2 g were immediately placed in sterile tubes, and stored at -20 °C until DNA extraction.…”
Section: Mesocosm Experiments and Sample Collectionmentioning
confidence: 99%
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“…Each core was separated into four samples, H1 0-12.5 cm, H2 12.5-6 28 cm, H3 28-42 cm, and H4 42-75 cm. Sub-samples were dried and dedicated to soil characterization presented in Thouin et al (2018) and 2 g were immediately placed in sterile tubes, and stored at -20 °C until DNA extraction.…”
Section: Mesocosm Experiments and Sample Collectionmentioning
confidence: 99%
“…To evaluate a possible relationship between environmental parameters and bacterial composition during the experiment, bath data sets were analyzed by co-inertia analysis (COIA: Dray et al, 2003). Environmental parameter data are from Thouin et al (2017Thouin et al ( , 2018 and only the 15 dominant bacterial OTUs present in the overall samples were used in alaysis.The RV-coefficient, representing the strength of the co-variation, was calculated and statistically tested using the Monte Carlo randomization test with 999 random permutations.…”
Section: Statistical Analysesmentioning
confidence: 99%
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