生活污水管
甲烷
环境科学
污水
温室气体
甲烷排放
甲烷厌氧氧化
环境工程
沉积物
生态学
地质学
生物
古生物学
作者
Yuqing Yan,Jun‐Jie Zhu,Harold D. May,Cuihong Song,Jinyue Jiang,Lin Du,Zhiyong Jason Ren
标识
DOI:10.1021/acs.est.4c04005
摘要
The sewer system, despite being a significant source of methane emissions, has often been overlooked in current greenhouse gas inventories due to the limited availability of quantitative data. Direct monitoring in sewers can be expensive or biased due to access limitations and internal heterogeneity of sewer networks. Fortunately, since methane is almost exclusively biogenic in sewers, we demonstrate in this study that the methanogenic potential can be estimated using known sewer microbiome data. By combining data mining techniques and bioinformatics databases, we developed the first data-driven method to analyze methanogenic potentials using a data set containing 633 observations of 53 variables obtained from literature mining. The methanogenic potential in the sewer sediment was around 250-870% higher than that in the wet biofilm on the pipe and sewage water. Additionally,
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