Matches in SemOpenAlex for { <https://semopenalex.org/work/W4377018042> ?p ?o ?g. }
- W4377018042 endingPage "115007" @default.
- W4377018042 startingPage "115007" @default.
- W4377018042 abstract "Wastewater treatment plants (WWTPs) are significant contributors to energy consumption and anthropogenic greenhouse gas (GHG) emissions. For achieving carbon reduction in the wastewater treatment industry, the direct and indirect GHG emissions generated by WWTPs need to be understood from a holistic perspective. This study estimated GHG emissions from WWTPs at the country scale by integrating process-based life cycle assessment and statistical data. On-site data were collected from 17 WWTPs of various regions in China. Uncertainty analysis based on Monte Carlo was also performed, so as to provide more reliable results. The results show that life cycle GHG emissions generated from the wastewater treatment process vary from 0.29 kg CO2 eq/m3 to 1.18 kg CO2 eq/m3 based on 17 sample WWTPs. The key factors contributing to overall GHG emissions are also identified as carbon dioxide (fossil) and methane (fossil) to air mainly generated from electricity generation, and methane (biogenic) and nitrous oxide (biogenic) to air mainly generated from wastewater treatment. National average GHG emissions was evaluated with the value of 0.88 kg CO2 eq/m3, with on-site GHG emissions and off-site electricity-based GHG emissions accounting for 32% and 34%, respectively. The total GHG emissions generated from wastewater treatment are 56.46 billion kg CO2 eq in 2020, with Guangdong province having the dominant contribution. Policy suggestions (e.g., further adjusting the electricity grid toward a low carbon structure, improving technology to promote treatment efficiency and energy recovery) were highly recommended so that national GHG emissions of WWTPs can be reduced. In order to achieve the synergy of pollutant removal and GHG emission reduction, policy-making on wastewater treatment should be tailored to specific local conditions." @default.
- W4377018042 created "2023-05-19" @default.
- W4377018042 creator A5013330353 @default.
- W4377018042 creator A5052441498 @default.
- W4377018042 creator A5073459047 @default.
- W4377018042 creator A5079063327 @default.
- W4377018042 creator A5089934202 @default.
- W4377018042 date "2023-07-01" @default.
- W4377018042 modified "2023-09-24" @default.
- W4377018042 title "Understanding the greenhouse gas emissions from China’s wastewater treatment plants: Based on life cycle assessment coupled with statistical data" @default.
- W4377018042 cites W1076193260 @default.
- W4377018042 cites W1964773729 @default.
- W4377018042 cites W1973067063 @default.
- W4377018042 cites W2004394344 @default.
- W4377018042 cites W2079747486 @default.
- W4377018042 cites W2157917273 @default.
- W4377018042 cites W2483252249 @default.
- W4377018042 cites W2564630286 @default.
- W4377018042 cites W2565058055 @default.
- W4377018042 cites W2566270097 @default.
- W4377018042 cites W2795483669 @default.
- W4377018042 cites W2804638826 @default.
- W4377018042 cites W2908805909 @default.
- W4377018042 cites W2921707100 @default.
- W4377018042 cites W2928906062 @default.
- W4377018042 cites W2945115801 @default.
- W4377018042 cites W2970428095 @default.
- W4377018042 cites W2979637133 @default.
- W4377018042 cites W3013731414 @default.
- W4377018042 cites W3014625753 @default.
- W4377018042 cites W3044802921 @default.
- W4377018042 cites W3085729430 @default.
- W4377018042 cites W3090922682 @default.
- W4377018042 cites W3120051772 @default.
- W4377018042 cites W3128521351 @default.
- W4377018042 cites W3153724389 @default.
- W4377018042 cites W3180601759 @default.
- W4377018042 cites W3183087299 @default.
- W4377018042 cites W3192714106 @default.
- W4377018042 cites W3194518228 @default.
- W4377018042 cites W3203986916 @default.
- W4377018042 cites W400047476 @default.
- W4377018042 cites W4211075390 @default.
- W4377018042 cites W4212975072 @default.
- W4377018042 cites W4223460179 @default.
- W4377018042 cites W4226076215 @default.
- W4377018042 cites W4281250346 @default.
- W4377018042 cites W4282963397 @default.
- W4377018042 doi "https://doi.org/10.1016/j.ecoenv.2023.115007" @default.
- W4377018042 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37209571" @default.
- W4377018042 hasPublicationYear "2023" @default.
- W4377018042 type Work @default.
- W4377018042 citedByCount "1" @default.
- W4377018042 countsByYear W43770180422023 @default.
- W4377018042 crossrefType "journal-article" @default.
- W4377018042 hasAuthorship W4377018042A5013330353 @default.
- W4377018042 hasAuthorship W4377018042A5052441498 @default.
- W4377018042 hasAuthorship W4377018042A5073459047 @default.
- W4377018042 hasAuthorship W4377018042A5079063327 @default.
- W4377018042 hasAuthorship W4377018042A5089934202 @default.
- W4377018042 hasBestOaLocation W43770180421 @default.
- W4377018042 hasConcept C127413603 @default.
- W4377018042 hasConcept C139719470 @default.
- W4377018042 hasConcept C162324750 @default.
- W4377018042 hasConcept C188818383 @default.
- W4377018042 hasConcept C18903297 @default.
- W4377018042 hasConcept C2778348673 @default.
- W4377018042 hasConcept C2778706760 @default.
- W4377018042 hasConcept C39432304 @default.
- W4377018042 hasConcept C47737302 @default.
- W4377018042 hasConcept C548081761 @default.
- W4377018042 hasConcept C57442070 @default.
- W4377018042 hasConcept C68189081 @default.
- W4377018042 hasConcept C86803240 @default.
- W4377018042 hasConcept C87717796 @default.
- W4377018042 hasConcept C94061648 @default.
- W4377018042 hasConceptScore W4377018042C127413603 @default.
- W4377018042 hasConceptScore W4377018042C139719470 @default.
- W4377018042 hasConceptScore W4377018042C162324750 @default.
- W4377018042 hasConceptScore W4377018042C188818383 @default.
- W4377018042 hasConceptScore W4377018042C18903297 @default.
- W4377018042 hasConceptScore W4377018042C2778348673 @default.
- W4377018042 hasConceptScore W4377018042C2778706760 @default.
- W4377018042 hasConceptScore W4377018042C39432304 @default.
- W4377018042 hasConceptScore W4377018042C47737302 @default.
- W4377018042 hasConceptScore W4377018042C548081761 @default.
- W4377018042 hasConceptScore W4377018042C57442070 @default.
- W4377018042 hasConceptScore W4377018042C68189081 @default.
- W4377018042 hasConceptScore W4377018042C86803240 @default.
- W4377018042 hasConceptScore W4377018042C87717796 @default.
- W4377018042 hasConceptScore W4377018042C94061648 @default.
- W4377018042 hasLocation W43770180421 @default.
- W4377018042 hasLocation W43770180422 @default.
- W4377018042 hasOpenAccess W4377018042 @default.
- W4377018042 hasPrimaryLocation W43770180421 @default.
- W4377018042 hasRelatedWork W2031775373 @default.
- W4377018042 hasRelatedWork W2109734398 @default.
- W4377018042 hasRelatedWork W2344002002 @default.