N2O and CH4 Emission from Wastewater Collection and Treatment Systems: State of the Science Report and Technical Report

Foley, Jeffrey

doi:10.2166/9781780407340

Cited by 14 publications

(19 citation statements)

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“…There is also considerable variability in the reported N 2 O emissions from well-controlled laboratory scale systems (Table 2). Such variability widely agrees with the range of reported N 2 O emissions summarized elsewhere (Foley et al, 2011;Kampschreur et al, 2009). Nitrous oxide emissions estimates can be affected by reactor operating conditions (e.g., DO, pH), the measurement technique (Ye et al, 2014), and reactor design (Hynes and Knowles, 1984;Sun et al, 2014;Tallec et al, 2006).…”

Section: Introductionsupporting

confidence: 80%

“…This assumption is consistent with measurements that have been made for biologically observed phenomena (Dowd and Riggs, 1965). Second, the distributions were constructed so that the value used by Ni et al (2011) (Sun et al, 2015) 1.37-2.69 SBR and MLE France (Foley et al, 2011) 0-0.3 Completely mixed, plug flow, membrane bioreactor Germany (Wicht and Beier, 1995) 0-14.6 (0.6 average) 25 activated sludge plants Japan (Kimochi et al, 1998) 0.01-0.08 Intermittent activated sludge plant USA (Ahn et al, 2010) 0.003-2.59 12 BNR plants Batch test (10 hours) denitrifying activated sludge-real wastewater (Von Schulthess et al, 1994) 0-6 Batch test (1 day) nitrifying biofilter-real wastewater (Tallec et al, 2008) 0.2-1 (0.4 average) Continuous and batch tests denitrifying activated Sludge-artificial wastewater (Hanaki et al, 1992) 0-8 Continuous nitrifying and denitrifying activated Sludge-real wastewater (Park et al, 2000) 0.2-4.5 Continuous oxic-anoxic activated sludge-artificial wastewater (30-300 days) (Tsuneda et al, 2005) 0.7-13 Continuous nitrifying activated sludge-artificial wastewater (Burgess et al, 2002) 0.08-1.17 distribution functions that generated frequency distributions that were similar to the width and shape of measured distributions of Michaelis-Menten parameters discussed previously (Dowd and Riggs, 1965).…”

Section: Methodsmentioning

confidence: 99%

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Effect of Biological and Mass Transfer Parameter Uncertainty on N₂O Emission Estimates from WRRFs

Song

Harper

Takeuchi

et al. 2017

Water Environment Research

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This research used the detailed activated sludge model (ASM) to investigate the effect of parameter uncertainty on nitrous oxide (N2O) emissions from biological wastewater treatment systems. Monte Carlo simulations accounted for uncertainty in the values of the microbial growth parameters and in the volumetric mass transfer coefficient for dissolved oxygen (kLaDO), and the results show that the detailed ASM predicted N2O emission of less than 4% (typically 1%) of the total influent loading. Uncertainties in kLaDO were further investigated in experiments, which showed that lower values of kLaDO generated higher soluble N2O levels. The detailed ASM likely requires revision to account for abiotic reactions and other factors that cause higher levels of N2O emission.

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Section: Introductionsupporting

confidence: 80%

Section: Methodsmentioning

confidence: 99%

Effect of Biological and Mass Transfer Parameter Uncertainty on N₂O Emission Estimates from WRRFs

Song

Harper

Takeuchi

et al. 2017

Water Environment Research

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“…The simultaneously increasing pattern of sulfide and methane in the pilot rising main ( Figure S1.3) was also similar to that in real sewers. [43][44][45][46] In contrast, sulfide or methane production was detected to be negligible or even negative in the pilot gravity sewer, which could be explained by the faster sulfide oxidation than the concurrent sulfate reduction and/or the emission of sulfide and methane gas into the air phase.…”

Section: Wastewater Compositions and Biological Activitiesmentioning

confidence: 89%

Experimental Investigation and Modeling of the Transformation of Illicit Drugs in a Pilot-Scale Sewer System

Gao

Thai

Shypanski

et al. 2019

Environ. Sci. Technol.

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In-sewer stability of illicit drug biomarkers has been evaluated by several reactorbased studies but less has been done in sewer pipes. Experiments conducted in sewer pipes have advantages over lab-scale reactors in providing more realistic biomarker stability due to the flow and biological dynamics. This study assessed the transportation and transformation of seven illicit drug biomarker compounds in a pilot-scale rising main and a gravity sewer pipe. Biomarkers presented diverse stability patterns in the pilot sewers, based on which a drug transformation model was calibrated. This model was subsequently validated using transformation datasets from literature, aiming to demonstrate the predictability of the pilot-based transformation coefficients under varying sewer conditions. Furthermore, transformation coefficients for five investigated biomarkers were generated from four studies and their prediction capabilities under the pilot sewer conditions were jointly assessed using performance statistics. The transformation model was successful in simulating the in-sewer stability for most illicit drugs. However, further study is required to delineate the sources and pathways for those compounds with potential formations to be simulated in the transformation model. Overall, the transformation model calibrated using the pilotsewer data is a credible tool for the application of wastewater-based epidemiology.

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“…In addition to being explosive at low concentrations, CH 4 is a major greenhouse gas with a life span of ϳ12 years and a global warming potential roughly 21 to 23 times higher than that of carbon dioxide (11). Recent reports suggest that CH 4 emissions from sewers contribute significantly to the total greenhouse gas footprint of wastewater systems (12,13). Accordingly, different mitigation strategies have been used to reduce H 2 S and CH 4 production in sewers (14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24).…”

mentioning

confidence: 99%

Changes in Microbial Biofilm Communities during Colonization of Sewer Systems

Auguet

Pijuan

Batista

et al. 2015

Appl Environ Microbiol

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bThe coexistence of sulfate-reducing bacteria (SRB) and methanogenic archaea (MA) in anaerobic biofilms developed in sewer inner pipe surfaces favors the accumulation of sulfide (H 2 S) and methane (CH 4 ) as metabolic end products, causing severe impacts on sewerage systems. In this study, we investigated the time course of H 2 S and CH 4 production and emission rates during different stages of biofilm development in relation to changes in the composition of microbial biofilm communities. The study was carried out in a laboratory sewer pilot plant that mimics a full-scale anaerobic rising sewer using a combination of process data and ). This contrasting trend coincided with a stable SRB community and an archaeal community composed solely of methanogens derived from the human gut (i.e., Methanobrevibacter and Methanosphaera). In turn, CH 4 emissions increased after 1 year of biofilm growth (327.6 ؎ 16.6 mg COD-CH 4 liter ؊1 day ؊1 ), coinciding with the replacement of methanogenic colonizers by species more adapted to sewer conditions (i.e., Methanosaeta spp.). Our study provides data that confirm the capacity of our laboratory experimental system to mimic the functioning of full-scale sewers both microbiologically and operationally in terms of sulfide and methane production, gaining insight into the complex dynamics of key microbial groups during biofilm development. W astewater collection systems, or sewers, consist of an underground network of physical structures-installations composed of pipelines, pumping stations, manholes, and channels that convey wastewaters from their source to the discharge point, usually a wastewater treatment plant (WWTP). Sewer systems thus prevent the direct contact of urban populations to fecal material and potential microbial pathogens, greatly reducing the spread of infectious diseases. Sewers have traditionally been considered only hydraulic transport systems for sewage, although they are in fact "reactors" where complex physicochemical and microbial processes take place. Wastewater microorganisms are diverse and abundant, and they are exposed to a wide range of both inorganic and organic substrates as well as changing conditions along their transport through sewers (1). In this regard, wastewater transport through the pipes facilitates the formation of microbial biofilms that grow attached to the inner surface of sewer pipes (2). Different factors, such as large surface area, low flow velocity near pipe walls, and nutrient availability, may favor microbial colonization of pipe surfaces and biofilm growth. Formation of fully functional biofilms occurs in different steps, from surface conditioning, adhesion of microbial "colonizers," initial growth, and glycocalyx formation, followed by secondary colonization and growth (3).Anaerobic conditions in sewer pipes favor the accumulation of both sulfide (H 2 S) and methane (CH 4 ) as end products of different microbial metabolisms, i.e., anaerobic respiration of organic matter by sulfate-reducing bacteria (SRB) and methanogenic archae...

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N2O and CH4 Emission from Wastewater Collection and Treatment Systems: State of the Science Report and Technical Report

Cited by 14 publications

References 0 publications

Effect of Biological and Mass Transfer Parameter Uncertainty on N₂O Emission Estimates from WRRFs

Effect of Biological and Mass Transfer Parameter Uncertainty on N₂O Emission Estimates from WRRFs

Experimental Investigation and Modeling of the Transformation of Illicit Drugs in a Pilot-Scale Sewer System

Changes in Microbial Biofilm Communities during Colonization of Sewer Systems

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N2O and CH4 Emission from Wastewater Collection and Treatment Systems: State of the Science Report and Technical Report

Cited by 14 publications

References 0 publications

Effect of Biological and Mass Transfer Parameter Uncertainty on N2O Emission Estimates from WRRFs

Effect of Biological and Mass Transfer Parameter Uncertainty on N2O Emission Estimates from WRRFs

Experimental Investigation and Modeling of the Transformation of Illicit Drugs in a Pilot-Scale Sewer System

Changes in Microbial Biofilm Communities during Colonization of Sewer Systems

Contact Info

Product

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Effect of Biological and Mass Transfer Parameter Uncertainty on N₂O Emission Estimates from WRRFs

Effect of Biological and Mass Transfer Parameter Uncertainty on N₂O Emission Estimates from WRRFs