Abstract

Wastewater treatment plants (WWTPs) alleviate water pollution but also induce resource consumption and environmental impacts especially greenhouse gas (GHG) emissions. Mitigating GHG emissions of WWTPs can contribute to achieving carbon neutrality in China. But there is still a lack of a high-resolution and time-series GHG emission inventories of WWTPs in China. In this study, we construct a firm-level emission inventory of WWTPs for CH4, N2O and CO2 emissions from different wastewater treatment processes, energy consumption and effluent discharge for the time-period from 2006 to 2019. We aim to develop a transparent, verifiable and comparable WWTP GHG emission inventory to support GHG mitigation of WWTPs in China.

Measurement(s)

methane, nitrous oxide and carbon dioxide emissions from municipal wastewater treatment facilities

Technology Type(s)

computational modeling technique

Factor Type(s)

influent and effluent chemical oxygen demand (COD) mass • influent and effluent total nitrogen (TN) mass • removed COD • electricity consumption • emisison factors • wastewater treatment technology

Sample Characteristic - Organism

None

Sample Characteristic - Environment

wastewater treatment facilities • physical treatment process • chemical treatment process • physicochemical treatment process • conventional activated sludge • enhanced activated sludge process • biofilm treatment process • anaerobic biological treatment process • stabilization pond, constructed wetland and land treatment • membrane bioreactor

Sample Characteristic - Location

China

Details

Title
Greenhouse gas emissions from municipal wastewater treatment facilities in China from 2006 to 2019
Author
Wang, Dan 1   VIAFID ORCID Logo  ; Ye, Weili 2 ; Wu, Guangxue 3   VIAFID ORCID Logo  ; Li, Ruoqi 4 ; Guan, Yuru 1   VIAFID ORCID Logo  ; Zhang, Wei 5   VIAFID ORCID Logo  ; Wang, Junxia 6 ; Shan, Yuli 1   VIAFID ORCID Logo  ; Hubacek, Klaus 1   VIAFID ORCID Logo 

1  University of Groningen, Integrated Research on Energy, Environment and Society (IREES), Energy Sustainability Research Institute Groningen (ESRIG), Groningen, The Netherlands (GRID:grid.4830.f) (ISNI:0000 0004 0407 1981) 
2  Chinese Academy of Environmental Planning, The Center for Beijing-Tianjin-Hebei Regional Environment and Ecology, Beijing, China (GRID:grid.464275.6) (ISNI:0000 0001 1998 1150) 
3  National University of Ireland, Galway, Civil Engineering, School of Engineering, College of Science and Engineering, Galway, Ireland (GRID:grid.6142.1) (ISNI:0000 0004 0488 0789) 
4  University of Groningen, Integrated Research on Energy, Environment and Society (IREES), Energy Sustainability Research Institute Groningen (ESRIG), Groningen, The Netherlands (GRID:grid.4830.f) (ISNI:0000 0004 0407 1981); Nanjing University, State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing, China (GRID:grid.41156.37) (ISNI:0000 0001 2314 964X) 
5  Chinese Academy of Environmental Planning, The Center for Beijing-Tianjin-Hebei Regional Environment and Ecology, Beijing, China (GRID:grid.464275.6) (ISNI:0000 0001 1998 1150); Chinese Academy of Environmental Planning, State Environmental Protection Key Laboratory of Environmental Planning and Policy Simulation, Beijing, China (GRID:grid.464275.6) (ISNI:0000 0001 1998 1150) 
6  China National Environmental Monitoring Centre, State Environmental Protection Key Laboratory of Quality Control in Environmental Monitoring, Beijing, China (GRID:grid.464219.c) (ISNI:0000 0004 0574 7605) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20524463
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.1038/s41597-022-01439-7
ProQuest document ID
2677227068
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.