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Denitrification in a low carbon environment of a constructed wetland incorporating a microbial electrolysis cell
journal contribution
posted on 2023-05-19, 20:55 authored by Srivastava, P, Yadav, AK, Abbassi, R, Vikrambhai GaraniyaVikrambhai Garaniya, Trevor LewisTrevor LewisThe main aim of this study was to explore the possibility of denitrification under low carbon conditions in a microbial electrolysis cell (MEC) integrated into a constructed wetland (CW). To our knowledge, this is the first systematic study of the incorporation of an MEC into a CW for enhancing denitrification. CWs are an efficient and low-cost technology for wastewater treatment facing problems in denitrification under low carbon conditions. Two CW-microcosms were fabricated: one included an MEC arrangement with granular graphite electrodes attached to a power source and the other with a microcosm fabricated with normal stone gravel as a control. These microcosms were fed with synthetic wastewater containing 50 mg/l of nitrate-nitrogen (NO3-N) with different ratios of organic carbon. Carbon to nitrogen ratio (C: N) were kept to 2:1, 1:1 and 0.5:1. The maximum concentration of organic carbon was 100 mg/l, subsequently decreased to 50 mg/l to 25 mg/l. The highest percentage removal achieved from CW-MEC in C: N ratios of 2:1 were 69.3% on 0.583 mA applied current, whereas the control microcosm’s removal efficiency on the same C:N was 66.2%. The outcomes of this study show that the NO3-N removal was always higher in the MEC integrated CW compared to the normal CW. The study concludes that the higher denitrification is possible by incorporation of an MEC into a constructed wetland under low carbon condition. This approach can provide a new direction for denitrification enhancement in a CW.
Funding
Tasmanian Community Fund
History
Publication title
Journal of Environmental Chemical EngineeringVolume
6Issue
4Pagination
5602-5607ISSN
2213-3437Department/School
Australian Maritime CollegePublisher
Elsevier BVPlace of publication
NetherlandsRights statement
© 2018 Elsevier Ltd.Repository Status
- Restricted