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Review
. 2023 Feb 14;57(6):2248-2261.
doi: 10.1021/acs.est.2c04388. Epub 2023 Feb 3.

Methane Emissions from Municipal Wastewater Collection and Treatment Systems

Affiliations
Review

Methane Emissions from Municipal Wastewater Collection and Treatment Systems

Cuihong Song et al. Environ Sci Technol. .

Abstract

Municipal wastewater collection and treatment systems are critical infrastructures, and they are also identified as major sources of anthropogenic CH4 emissions that contribute to climate change. The actual CH4 emissions at the plant- or regional level vary greatly due to site-specific conditions as well as high seasonal and diurnal variations. Here, we conducted the first quantitative analysis of CH4 emissions from different types of sewers and water resource recovery facilities (WRRFs). We examined variations in CH4 emissions associated with methods applied in different monitoring campaigns, and identified main CH4 sources and sinks to facilitate carbon emission reduction efforts in the wastewater sector. We found plant-wide CH4 emissions vary by orders of magnitude, from 0.01 to 110 g CH4/m3 with high emissions associated with plants equipped with anaerobic digestion or stabilization ponds. Rising mains show higher dissolved CH4 concentrations than gravity sewers when transporting similar raw sewage under similar environmental conditions, but the latter dominates most collection systems around the world. Using the updated data sets, we estimated annual CH4 emission from the U.S. centralized, municipal wastewater treatment to be approximately 10.9 ± 7.0 MMT CO2-eq/year, which is about twice as the IPCC (2019) Tier 2 estimates (4.3-6.1 MMT CO2-eq/year). Given CH4 emission control will play a crucial role in achieving net zero carbon goals by the midcentury, more studies are needed to profile and mitigate CH4 emissions from the wastewater sector.

Keywords: IPCC; Literature text mining; Methane; Mitigation strategies; Monitoring campaigns; Monte Carlo analysis; Wastewater treatment.

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Conflict of interest statement

The authors declare no competing financial interest.

Figures

Figure 1
Figure 1
Typical wastewater collection and treatment trains with various biological treatment and sludge management processes.
Figure 2
Figure 2
CH4 monitoring campaigns for sewer networks (A) and WRRFs (B–D). (A) Sewer networks are shown in different types of sewer systems grouped by hydraulic retention time (HRT). WRRF data are shown for (B) the year of publication and applied measurement techniques, (C) plant configurations differentiated by main biological treatment processes, and (D) spatial scales of the studies. TDM: tracer gas dispersion method; IR: optical gas imaging infrared video camera; MGD: million gallon per day (1 MGD = 3785 m3/day); pond refers stabilization pond; W, S, and AD are CH4 emissions from wastewater line, sludge line (without anaerobic digestion), and anaerobic digestion, respectively.
Figure 3
Figure 3
A summary of plant-wide CH4 emissions with respect to different biological treatment processes for WRRFs with and without anaerobic digestion. The inset in (B) highlights those with relatively low CH4 emissions. Boxplots show 25th, 50th, and 75th percentiles and outlier-bounds are based on 1.5 × IQR (interquartile range, equaling 75th percentile minus 25th percentile) of CH4 emissions. Red dots represent the arithmetic mean. n: the number of monitoring data.
Figure 4
Figure 4
Plant-wide CH4 emissions with respect to measurement techniques (IR: optical gas imaging infrared video camera, TDM: tracer gas dispersion method), the length of the monitoring period (short: less than one month, intermediate: a few months without capturing the whole spectrum of temperature changes, long: at least one year), and monitoring mode of gaseous sampling for WRRFs with AD (A–C) and those without AD (D–F). Boxplots show 25th, 50th, and 75th percentiles and outlier-bounds are based on 1.5 × IQR of CH4 emissions. Red dots represent the arithmetic mean. n: the number of monitoring data. Data in the shaded areas in panels A and D are used to further analyze impacts of duration and mode on CH4 emissions to avoid bias caused by various measurement techniques.
Figure 5
Figure 5
Mean CH4 emissions of different process units in WRRFs. Error bars indicate upper 95% CI values.
Figure 6
Figure 6
Dissolved CH4 concentrations in different types of sewer networks with respect to wastewater temperature, geographical regions, and hydraulic retention time (HRT).
Figure 7
Figure 7
Nationwide CH4 emissions from the U.S. wastewater sector. (A) Estimated annual mean (±s.d.) CH4 flux of each group and (B) accumulative probability of CH4 emissions from the whole wastewater sector.

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