生活污水管
生产(经济)
机制(生物学)
环境科学
控制(管理)
环境工程
生化工程
工程类
经济
哲学
管理
微观经济学
认识论
作者
Feng Hou,Shuai Liu,Wan-Xin Yin,Lili Gan,Hong-Tao Pang,Jia-Qiang Lv,Ying Liu,Ai-Jie Wang,Hong‐Cheng Wang
出处
期刊:Water
[Multidisciplinary Digital Publishing Institute]
日期:2024-12-16
卷期号:16 (24): 3618-3618
被引量:1
摘要
Methane (CH4) emissions from urban sewer systems represent a significant contributor to greenhouse gases, driven by anaerobic decomposition processes. This review elucidates the mechanisms underlying CH4 production in sewers, which are influenced by environmental factors such as the COD/SO42− ratio, temperature, dissolved oxygen, pH, flow rate, and hydraulic retention time. We critically evaluated the effectiveness of empirical, mechanistic, and machine learning (ML) models in predicting CH4 emissions, highlighting the limitations of each. This review further examines control strategies, including oxygen injection, iron salt dosing, and nitrate application, emphasizing the importance of balancing CH4 reduction with the operational efficiency of wastewater treatment plants (WWTPs). An integrated approach combining mechanistic and data-driven models is advocated to enhance prediction accuracy and optimize CH4 management across urban sewer systems.
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