peaks of more or less magnitude even within the same day, increasing
substantially the overall account of emissions. For example, the average
N2O emissions from Site 3 (aerated zone 1) would decrease from
approximately 0.45 ± 0.42 kg N2O–N/d (~58% of the total N2O emissions),
to 0.11 ± 0.08 kg N2O–N/d (~25% of the total N2O emissions),
if the N2O peak event described in Section 3.3.3 (Fig. 4) is not taken
into consideration. Similarly, the N2O emission factor of the bioreactor
would decrease from 0.116 to 0.064% of the influent TKN. From this
perspective, even isolated peak emissions at any of the aerated zones
in a bioreactor can have a significant impact on the global emissions of
a WWTP which highlights the importance of online monitoring. The design of mitigation strategies should aim at avoiding the main process
scenarios that lead to peak N2O emissions.
The N2O peak emissions registered during the monitoring campaign
at GranollersWWTP were found to be correlated with different process
perturbations occurring along the experimental period, implying different
N2O production pathways and sources, as discussed below(Sections 4.3.1
and 4.3.2).
peaks of more or less magnitude even within the same day, increasing
substantially the overall account of emissions. For example, the average
N2O emissions from Site 3 (aerated zone 1) would decrease from
approximately 0.45 ± 0.42 kg N2O–N/d (~58% of the total N2O emissions),
to 0.11 ± 0.08 kg N2O–N/d (~25% of the total N2O emissions),
if the N2O peak event described in Section 3.3.3 (Fig. 4) is not taken
into consideration. Similarly, the N2O emission factor of the bioreactor
would decrease from 0.116 to 0.064% of the influent TKN. From this
perspective, even isolated peak emissions at any of the aerated zones
in a bioreactor can have a significant impact on the global emissions of
a WWTP which highlights the importance of online monitoring. The design of mitigation strategies should aim at avoiding the main process
scenarios that lead to peak N2O emissions.
The N2O peak emissions registered during the monitoring campaign
at GranollersWWTP were found to be correlated with different process
perturbations occurring along the experimental period, implying different
N2O production pathways and sources, as discussed below(Sections 4.3.1
and 4.3.2).
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