城市固体废物
社会经济地位
中立
碳纤维
废物管理
碳中和
自然资源经济学
业务
环境科学
经济
工程类
温室气体
环境卫生
计算机科学
政治学
复合数
生态学
生物
医学
法学
算法
人口
作者
Chenyi Zhang,Huijuan Dong,Yong Geng,Xiaoqian Song,Tianyu Zhang,Mufan Zhuang
标识
DOI:10.1016/j.resconrec.2022.106528
摘要
• GHG emissions from China's waste treatment are estimated from 2010 to 2060. • A two-layer scenario framework was designed for carbon neutrality projection. • Economic development was the primary driving force of GHG emissions. • The highest GHG emissions appear under the fossil-fueled development pathway. • Only scenarios with MSW sorting and recycling can realize carbon neutrality by 2060. To mitigate greenhouse gas (GHG) emissions from municipal solid waste (MSW) sector, it is crucial to describe its GHG emission patterns and propose suitable mitigation measures. Therefore, this study forecasts GHG emissions from MSW treatment by combining IPCC, logarithmic mean divisia index and machine learning models. Carbon neutrality potentials of China towards 2060 are analyzed under assumed policy scenarios and shared socioeconomic pathways (SSPs). Results showed that GHG emissions from China's MSW treatment increased nearly 37 megatons in the past decade, with incineration emissions increasing fast. Economic development was the dominant and positive driving force of MSW GHG emissions. Scenario analysis revealed that carbon neutrality from MSW treatment could be achieved only after implementing MSW classification, reducing approximately 125 megatons GHG emissions. Fossil-fueled development pathway (SSP5) will generate the most GHG emissions among SSPs. Finally, policy recommendations on priority regions, MSW treatment transition and circular economy schemes are proposed.
科研通智能强力驱动
Strongly Powered by AbleSci AI