China's changing city-level greenhouse gas emissions from municipal solid waste treatment and driving factors

温室气体 除数指数 城市固体废物 环境科学 中国 人口 环境工程 二氧化碳当量 农业经济学 自然资源经济学 环境保护 废物管理 能源消耗 工程类 经济 地理 能量强度 考古 生物 人口学 社会学 电气工程 生态学
作者
Yating Kang,Qing Yang,Liang Wang,Yingquan Chen,Guiying Lin,Junling Huang,Haiping Yang,Hanping Chen
出处
期刊:Resources Conservation and Recycling [Elsevier BV]
卷期号:180: 106168-106168 被引量:48
标识
DOI:10.1016/j.resconrec.2022.106168
摘要

With cities’ intertwined challenges of garbage siege and climate change, it is imperative to explore the greenhouse gas (GHG) emissions from municipal solid waste (MSW) treatment and the determinants of the emissions change. However, related quantitative analysis with high spatial resolution in China has been lacking, which hinder tailored policymaking. To fill the gap, this study develops a long time-series inventory of GHG emissions (including CH4, CO2 and N2O) from MSW for 294 Chinese prefecture-level cities. The temporal and spatial logarithmic mean divisia index (LMDI) model is further used to reveal the drivers behind the emissions change and difference. Results showed that domestic GHG emissions from MSW treatment increased from 39.24 Mt CO2e in 2006 to 128.81 Mt CO2e in 2019, 63.41%-88.95% of which were CH4 emissions accounting for 8.13%-10.22% of China's total CH4 emissions. First-tier cities and new first-tier cities (6.44%) contributed 35.44% to the national emissions in 2019. Furthermore, the national increased emissions were primarily driven by economic output (66.09%), while the MSW treatment intensity per GDP caused emissions reduction by 5.23%. The spatial decomposition verified that the population size was the dominant driving factor for differences between the national average and city-level emissions. Improvements in MSW treatment structure may be the effective abatement strategy for cities in Northwestern China (e.g., Yinchuan, Xining and Lanzhou). These findings could provide insights into the GHG emission mitigation of cities’ MSW sector for a future carbon-neutral society.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
CodeCraft应助科研通管家采纳,获得10
刚刚
李健应助科研通管家采纳,获得10
1秒前
悦耳如彤应助科研通管家采纳,获得10
1秒前
星辰大海应助科研通管家采纳,获得30
1秒前
科研通AI5应助科研通管家采纳,获得10
1秒前
桐桐应助科研通管家采纳,获得10
1秒前
顾矜应助科研通管家采纳,获得10
1秒前
ding应助科研通管家采纳,获得10
1秒前
科研通AI5应助科研通管家采纳,获得10
1秒前
1秒前
1秒前
1秒前
Lucas应助科研通管家采纳,获得20
1秒前
wanci应助科研通管家采纳,获得10
1秒前
小蘑菇应助科研通管家采纳,获得10
1秒前
2秒前
2秒前
大个应助科研通管家采纳,获得10
2秒前
淡定秀发完成签到,获得积分10
2秒前
爆米花应助科研通管家采纳,获得10
2秒前
上官若男应助科研通管家采纳,获得10
2秒前
糖糖发布了新的文献求助10
2秒前
Hello应助科研通管家采纳,获得10
2秒前
香蕉觅云应助科研通管家采纳,获得10
2秒前
2秒前
2秒前
hh完成签到,获得积分10
2秒前
平旺完成签到,获得积分10
3秒前
4秒前
黄梦娇完成签到,获得积分10
4秒前
严俊东发布了新的文献求助10
4秒前
生命科学的第一推动力完成签到 ,获得积分10
4秒前
5秒前
李沐唅发布了新的文献求助10
6秒前
6秒前
香蕉觅云应助芝士采纳,获得10
7秒前
小青龙完成签到,获得积分10
7秒前
小A同学发布了新的文献求助10
7秒前
刘鑫发布了新的文献求助10
8秒前
科研通AI5应助鲜艳的三毒采纳,获得10
8秒前
高分求助中
Pipeline and riser loss of containment 2001 - 2020 (PARLOC 2020) 1000
哈工大泛函分析教案课件、“72小时速成泛函分析:从入门到入土.PDF”等 660
Theory of Dislocations (3rd ed.) 500
Comparing natural with chemical additive production 500
The Leucovorin Guide for Parents: Understanding Autism’s Folate 500
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 500
A Manual for the Identification of Plant Seeds and Fruits : Second revised edition 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 5213290
求助须知:如何正确求助?哪些是违规求助? 4389206
关于积分的说明 13666238
捐赠科研通 4250143
什么是DOI,文献DOI怎么找? 2331945
邀请新用户注册赠送积分活动 1329645
关于科研通互助平台的介绍 1283189