Journal of Environmental Management, Год журнала: 2024, Номер 363, С. 121315 - 121315
Опубликована: Июнь 7, 2024
Язык: Английский
Journal of Environmental Management, Год журнала: 2024, Номер 363, С. 121315 - 121315
Опубликована: Июнь 7, 2024
Язык: Английский
Biochemical Engineering Journal, Год журнала: 2025, Номер unknown, С. 109664 - 109664
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
1Environmental Technology, Год журнала: 2024, Номер unknown, С. 1 - 17
Опубликована: Май 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.
Язык: Английский
Процитировано
4Environmental Science & Technology, Год журнала: 2025, Номер unknown
Опубликована: Март 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.
Язык: Английский
Процитировано
0Energy, Год журнала: 2025, Номер unknown, С. 135808 - 135808
Опубликована: Апрель 1, 2025
Язык: Английский
Процитировано
0Journal of Environmental Management, Год журнала: 2024, Номер 363, С. 121315 - 121315
Опубликована: Июнь 7, 2024
Язык: Английский
Процитировано
2