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Advanced Reduction Processes: A New Class of Treatment Processes

Open access
Vellanki, Bhanu Prakash, Batchelor, Bill, Abdel-Wahab, Ahmed·2013·Environmental Engineering Science

Abstract

A new class of treatment processes called advanced reduction processes (ARPs) is proposed. ARPs combine activation methods and reducing agents to form highly reactive reducing radicals that degrade oxidized contaminants. Batch screening experiments were conducted to identify effective ARPs by applying several combinations of activation methods (ultraviolet light, ultrasound, electron beam, and microwaves) and reducing agents (dithionite, sulfite, ferrous iron, and sulfide) to degradation of four target contaminants (perchlorate, nitrate, perfluorooctanoic acid, and 2,4 dichlorophenol) at three pH-levels (2.4, 7.0, and 11.2). These experiments identified the combination of sulfite activated by ultraviolet light produced by a low-pressure mercury vapor lamp (UV-L) as an effective ARP. More detailed kinetic experiments were conducted with nitrate and perchlorate as target compounds, and nitrate was found to degrade more rapidly than perchlorate. Effectiveness of the UV-L/sulfite treatment process improved with increasing pH for both perchlorate and nitrate. We present the theory behind ARPs, identify potential ARPs, demonstrate their effectiveness against a wide range of contaminants, and provide basic experimental evidence in support of the fundamental hypothesis for ARP, namely, that activation methods can be applied to reductants to form reducing radicals that degrade oxidized contaminants. This article provides an introduction to ARPs along with sufficient data to identify potentially effective ARPs and the target compounds these ARPs will be most effective in destroying. Further research will provide a detailed analysis of degradation kinetics and the mechanisms of contaminant destruction in an ARP.

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Crossref · 10.1089/ees.2012.0273

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Metadata

Authors
Vellanki, B. P., Batchelor, B., & Abdel-Wahab, A.
Venue
Environmental Engineering Science
Published
2013-05
Volume
30
Issue
5
Pages
264-271
ISSN
  • 1092-8758 (ISSN-L)
  • 1557-9018
OpenAlex
W1971600558
Cited by
221
References
1
FWCI
6.30
Type
journal article
Language
en
Open access
hybrid

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