Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 363, P. 121315 - 121315
Published: June 7, 2024
Language: Английский
Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 363, P. 121315 - 121315
Published: June 7, 2024
Language: Английский
Biochemical Engineering Journal, Journal Year: 2025, Volume and Issue: unknown, P. 109664 - 109664
Published: Feb. 1, 2025
Language: Английский
Citations
1Environmental Technology, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 17
Published: May 31, 2024
This study aimed to create a comprehensive evaluation method for sewage sludge (SS) treatment and disposal technologies, considering carbon emission environmental impacts. Life cycle assessment (LCA) were conducted on six SS technologies in China. The assessments used the IPCC factor approach calculate emissions CML2001 determine impact factors. Additionally, colour-coded was implemented quantify results. found that S1 (anaerobic digestion + land application) had lowest impact, making it optimal technology. scenario of 669 kg CO2(t DS)−1 impacts 5.20E-10. A sensitivity analysis show each unit total results showed landfilling has high Therefore, controlling greenhouse gases toxic substances landfills is crucial reducing pollution.
Language: Английский
Citations
4Environmental Science & Technology, Journal Year: 2025, Volume and Issue: unknown
Published: March 27, 2025
Life cycle assessment (LCA) has been widely used to evaluate the carbon negativity and environmental impacts of dioxide removal (CDR) pathways. Various monitoring, reporting, verification (MRV) protocols have developed assess credits CDR projects within voluntary compliant markets. Many MRV incorporate life thinking, LCA methods, data. This perspective examined recent studies published by main registries, focusing on four critical land-based methods: bioenergy combined with capture storage, biochar, enhanced rock weathering, afforestation reforestation. We compared accounting impact methods employed in these identify their methodological similarities differences. Our analysis reveals that community can support providing insights into baselines, additionality, uncertainty, multifunctionality, safeguards, holistic emission factors, overlooked pools. recommend future research prioritize timing, permanence, scaling, dynamic modeling for CDR. Addressing co-benefit land use change will further benefit both development. Collaboration between communities is essential developing robust frameworks markets policymaking.
Language: Английский
Citations
0Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135808 - 135808
Published: April 1, 2025
Language: Английский
Citations
0Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 363, P. 121315 - 121315
Published: June 7, 2024
Language: Английский
Citations
2