Spatiotemporal pattern of greenhouse gas emissions in China’s wastewater sector and pathways towards carbon neutrality

温室气体 废水 中立 环境科学 中国 碳中和 碳纤维 环境工程 温室 自然资源经济学 经济 地理 政治学 材料科学 海洋学 地质学 生物 考古 复合数 法学 园艺 复合材料
作者
Wenjie Du,Jia-Yuan Lu,Yi-Rong Hu,Juanxiu Xiao,Cheng Yang,Jie Wu,Bao‐Cheng Huang,Shuo Cui,Yang Wang,Wen‐Wei Li
出处
期刊: 卷期号:1 (2): 166-175 被引量:217
标识
DOI:10.1038/s44221-022-00021-0
摘要

Greenhouse gas (GHG) emissions from the wastewater sector are a major contributor to the overall GHG emissions of all countries, however, there is currently a lack of global, national-scale, detailed spatiotemporal emission data. In this study we elaborated dynamic plant-resolved emission factor values based on the case-specific operating parameters of each municipal wastewater treatment plant (WWTP) and the associated sewers and sludge disposal utilities in China, contrasting with previous estimations that typically focused on WWTP operation without differentiating their spatiotemporal discrepancies. We demonstrate here that China’s municipal wastewater industry generated 53.0 MtCO2e in total GHG emissions in 2019, with the northern and southern areas exhibiting noticeably higher GHG intensities. Due to improved wastewater treatment, the national average wastewater GHG intensity grew by 17.2% between 2009 and 2019, although it is anticipated that the intensity will begin to fall starting in 2020 at rates dependent on the chosen treatment methods. A net-zero emission by the entire sector may be achieved as early as 2044 with continually increasing decarbonized energy and a progressive shift to resource-oriented operations, compared with just a 23.7% decrease by 2050 under the baseline scenario. Joint efforts at the scientific, economic and policy level will be required to make this happen. This study may serve as a roadmap for developing carbon-neutral wastewater management policies and technologies in China and the rest of the globe. Based on case-specific operating parameters of each municipal wastewater treatment plant and the associated sewers and sludge disposal utilities, this study presents a detailed analysis of the current carbon footprint of the wastewater sector in China and scenarios for reducing future emissions.
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
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
超越梦想发布了新的文献求助10
1秒前
愉快的夏菡完成签到,获得积分10
1秒前
2秒前
2秒前
2秒前
打打应助star采纳,获得10
2秒前
2秒前
小屁孩完成签到,获得积分10
2秒前
王志鹏发布了新的文献求助10
3秒前
molihuakai应助布拉德皮特厚采纳,获得10
4秒前
MJ发布了新的文献求助20
4秒前
4秒前
霸气的灵竹应助Loik采纳,获得10
4秒前
4秒前
七言山川完成签到,获得积分10
5秒前
卢博成发布了新的文献求助10
5秒前
Wish完成签到,获得积分10
5秒前
5秒前
快乐的朱朱完成签到,获得积分10
5秒前
小何发布了新的文献求助10
5秒前
单薄的钢笔完成签到,获得积分10
5秒前
Leo发布了新的文献求助10
6秒前
Lucas应助波西米亚之心采纳,获得10
6秒前
6秒前
6秒前
Yi发布了新的文献求助10
6秒前
科研通AI6.4应助毛毛采纳,获得10
7秒前
所所应助Galahad_14采纳,获得10
7秒前
足下慵才完成签到,获得积分10
7秒前
WW完成签到,获得积分10
8秒前
桐桐应助安静的果汁采纳,获得10
8秒前
Jasper应助咻咻采纳,获得10
8秒前
8秒前
qqq完成签到,获得积分20
9秒前
zhuzhu发布了新的文献求助10
9秒前
科研通AI6.4应助windli采纳,获得10
10秒前
神勇惜海发布了新的文献求助10
10秒前
10秒前
情怀应助香蕉沧海采纳,获得10
10秒前
共享精神应助Lucky采纳,获得10
10秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Resistance Spot Welding Dataset for Automobile Body-in-White Quality Analysis 748
日本現代怪異事典 副読本 700
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 650
Machine Learning for Asset Management and Pricing 600
Numerical analysis of the coupled atmosphere-ocean models (CAO II). II 600
Models for the coupled atmosphere and ocean 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7388169
求助须知:如何正确求助?哪些是违规求助? 8994634
关于积分的说明 19139318
捐赠科研通 7024881
什么是DOI,文献DOI怎么找? 3228290
关于科研通互助平台的介绍 2390794
邀请新用户注册赠送积分活动 2209343