Zhejiang Provincial Key Laboratory of Organic Pollution Process and Control, Ministry of Education Key Laboratory of Environment Remediation and Ecological Health, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
Zhengning Xu
Zhejiang Provincial Key Laboratory of Organic Pollution Process and Control, Ministry of Education Key Laboratory of Environment Remediation and Ecological Health, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
Zheng Xia
Ecological and Environmental Monitoring Center of Zhejiang Province, Hangzhou 310012, China
Zhejiang Key Laboratory of Modern Ecological and Environmental Monitoring, Hangzhou 310012, China
Xiangyu Pei
Zhejiang Provincial Key Laboratory of Organic Pollution Process and Control, Ministry of Education Key Laboratory of Environment Remediation and Ecological Health, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
Yunye Yang
Zhejiang Provincial Key Laboratory of Organic Pollution Process and Control, Ministry of Education Key Laboratory of Environment Remediation and Ecological Health, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
Botian Qiu
Key Laboratory of Coastal Environment and Resources of Zhejiang Province, School of Engineering, Westlake University, Hangzhou 310030, China
Institute of Advanced Technology, Westlake Institute for Advanced Study, Hangzhou 310024, China
Shuang Zhao
Key Laboratory of Coastal Environment and Resources of Zhejiang Province, School of Engineering, Westlake University, Hangzhou 310030, China
Institute of Advanced Technology, Westlake Institute for Advanced Study, Hangzhou 310024, China
Zhejiang Provincial Key Laboratory of Organic Pollution Process and Control, Ministry of Education Key Laboratory of Environment Remediation and Ecological Health, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 311200, China
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Mobile CH4 measurements were conducted at a wastewater treatment plant in Hangzhou in the summer and winter of 2023. A multi-source Gaussian plume model, combined with a genetic algorithm inversion framework, was used to locate major CH4 sources at the plant and quantify emissions. Results indicate that the summer CH4 emissions (603.33 ± 152.66 t a-1) were 2.8 times as high as inventory values, and winter values (418.95 ± 187.59 t a-1) were twice as high. The main sources were the screen and primary clarifier.
Mobile CH4 measurements were conducted at a wastewater treatment plant in Hangzhou in the summer...