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- W2313590277 abstract "In recent years, the agricultural community has reduced flow of nitrogen from farmed landscapes to stream networks through the use of woodchip denitrification bioreactors. Although deployment of this practice is becoming more common to treat high-nitrate water from agricultural drainage pipes, information about bioreactor management strategies is sparse. This study focuses on the use of water monitoring, and especially the use of alkalinity monitoring, in five Iowa woodchip bioreactors to provide insights into and to help manage bioreactor chemistry in ways that will produce desirable outcomes. Results reported here for the five bioreactors show average annual nitrate load reductions between 50 and 80%, which is acceptable according to established practice standards. Alkalinity data, however, imply that nitrous oxide formation may have regularly occurred in at least three of the bioreactors that are considered to be closed systems. Nitrous oxide measurements of influent and effluent water provide evidence that alkalinity may be an important indicator of bioreactor performance. Bioreactor chemistry can be managed by manipulation of water throughput in ways that produce adequate nitrate removal while preventing undesirable side effects. We conclude that (i) water should be retained for longer periods of time in bioreactors where nitrous oxide formation is indicated, (ii) measuring only nitrate and sulfate concentrations is insufficient for proper bioreactor operation, and (iii) alkalinity monitoring should be implemented into protocols for bioreactor management. Core Ideas Use alkalinity monitoring to inform denitrification processes in woodchip bioreactors. Use denitrification stoichiometry and alkalinity results to indicate N2O formation. We deduce inorganic and organic carbon flux across denitrification bioreactor." @default.
- W2313590277 created "2016-06-24" @default.
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- W2313590277 date "2016-05-01" @default.
- W2313590277 modified "2023-10-18" @default.
- W2313590277 title "Use Alkalinity Monitoring to Optimize Bioreactor Performance" @default.
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- W2313590277 doi "https://doi.org/10.2134/jeq2015.06.0309" @default.
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