Literature DB >> 28672697

Stratification of chlorinated ethenes natural attenuation in an alluvial aquifer assessed by hydrochemical and biomolecular tools.

Jan Němeček1, Iva Dolinová2, Jiřina Macháčková2, Roman Špánek2, Alena Ševců2, Tomáš Lederer2, Miroslav Černík2.   

Abstract

Biomolecular and hydrochemical tools were used to evaluate natural attenuation of chlorinated ethenes in a Quaternary alluvial aquifer located close to a historical source of large-scale tetrachloroethylene (PCE) contamination. Distinct stratification of redox zones was observed, despite the aquifer's small thickness (2.8 m). The uppermost zone of the target aquifer was characterised by oxygen- and nitrate-reducing conditions, with mixed iron- to sulphate-reducing conditions dominant in the lower zone, along with indications of methanogenesis. Natural attenuation of PCE was strongly influenced by redox heterogeneity, while higher levels of PCE degradation coincided with iron- to sulphate reducing conditions. Next generation sequencing of the middle and/or lower zones identified anaerobic bacteria (Firmicutes, Chloroflexi, Actinobacteria and Bacteroidetes) associated with reductive dechlorination. The relative abundance of dechlorinators (Dehalococcoides mccartyi, Dehalobacter sp.) identified by real-time PCR in soil from the lower levels supports the hypothesis that there is a significant potential for reductive dechlorination of PCE. Local conditions were insufficiently reducing for rapid complete dechlorination of PCE to harmless ethene. For reliable assessment of natural attenuation, or when designing monitoring or remedial systems, vertical stratification of key biological and hydrochemical markers should be analysed as standard, even in shallow aquifers.
Copyright © 2017 Elsevier Ltd. All rights reserved.

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Keywords:  Biological markers; Chlorinated solvents; Hydrochemical markers; Indigenous microorganisms; Natural attenuation

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Year:  2017        PMID: 28672697     DOI: 10.1016/j.chemosphere.2017.06.100

Source DB:  PubMed          Journal:  Chemosphere        ISSN: 0045-6535            Impact factor:   7.086


  1 in total

1.  Prediction of Dichloroethene Concentration in the Groundwater of a Contaminated Site Using XGBoost and LSTM.

Authors:  Feiyang Xia; Dengdeng Jiang; Lingya Kong; Yan Zhou; Jing Wei; Da Ding; Yun Chen; Guoqing Wang; Shaopo Deng
Journal:  Int J Environ Res Public Health       Date:  2022-07-30       Impact factor: 4.614

  1 in total

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