Опубликована: Янв. 1, 2024
Язык: Английский
Опубликована: Янв. 1, 2024
Язык: Английский
Energy Economics, Год журнала: 2024, Номер 138, С. 107829 - 107829
Опубликована: Авг. 12, 2024
Язык: Английский
Процитировано
32The Science of The Total Environment, Год журнала: 2024, Номер 917, С. 170430 - 170430
Опубликована: Янв. 27, 2024
Язык: Английский
Процитировано
28Sustainable Cities and Society, Год журнала: 2024, Номер 104, С. 105296 - 105296
Опубликована: Фев. 22, 2024
Язык: Английский
Процитировано
13Environmental Science & Technology, Год журнала: 2024, Номер 58(32), С. 14193 - 14202
Опубликована: Авг. 1, 2024
China's advancements in addressing air pollution and reducing CO2 emissions offer valuable lessons for collaborative strategies to achieve diverse environmental objectives. Previous studies have assessed the mutual benefits of climate policies control measures on one another, lacking an integrated assessment synergistic attributed refined measures. Here, we comprehensively used coupled emission inventory response models evaluate synergy degrees various pollutants China during 2013–2021. Results indicated that implemented yielded value at 6.7 (2.4–12.6) trillion Chinese Yuan. The top five contributors, accounting 55%, included promoting non-thermal power, implementing end-of-pipe technologies power plants iron steel industry, replacing residential scattered coal, saving building energy. Measures demonstrating high synergies per unit reduction (e.g., green traffic promotion) low mainly due their application, which are expected gain greater implementation prioritization future. Our findings provide insights into effectiveness limitations aimed joint control. By ranking these based synergy, guidance policy development other nations with similar needs.
Язык: Английский
Процитировано
11Journal of Environmental Management, Год журнала: 2025, Номер 380, С. 124730 - 124730
Опубликована: Март 17, 2025
Язык: Английский
Процитировано
2Sustainability, Год журнала: 2025, Номер 17(7), С. 3095 - 3095
Опубликована: Март 31, 2025
The goal of “double carbon” puts forward higher requirements for the control transport carbon emissions, and exploration emission modelling driven by big data is an important attempt to reduce accurately. Based on land Vehicle Miles Traveled (VMT) sea Automatic Identification System (AIS) data, this study establishes a refined, high-resolution measurement model that incorporates use motor vehicles ships from bottom-up approach analyzes spatial distribution characteristics emissions in Tianjin using geospatial analysis. results show (1) transportation mainly come road traffic, with small passenger cars contributing most emissions; (2) high zones are concentrated economically developed, densely populated, network density areas, such as urban center Binhai New Area, marine functional zone Tianjin; (3) values generally segments where ports, airports, interchanges connected. developed provides practical, replicable, scalable insights other coastal cities.
Язык: Английский
Процитировано
1Energy Sustainable Development/Energy for sustainable development, Год журнала: 2025, Номер 86, С. 101721 - 101721
Опубликована: Апрель 2, 2025
Язык: Английский
Процитировано
1Environmental Science & Technology, Год журнала: 2024, Номер 58(35), С. 15381 - 15394
Опубликована: Авг. 13, 2024
China is confronting the dual challenges of air pollution and climate change, mandating co-control pollutants CO
Язык: Английский
Процитировано
4Environmental Science & Technology, Год журнала: 2024, Номер unknown
Опубликована: Окт. 1, 2024
Decarbonizing road transportation is an important task in achieving China's climate goals. Illustrating the mitigation potentials of announced policies and identifying additional strategies for various vehicle fleets are fundamental optimizing future control pathways. Herein, we developed a comprehensive analysis carbon dioxide (CO
Язык: Английский
Процитировано
4Resources Conservation and Recycling, Год журнала: 2024, Номер 212, С. 107973 - 107973
Опубликована: Окт. 17, 2024
Язык: Английский
Процитировано
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