中文版 | English
题名

Northward shift of historical methane emission hotspots from the livestock sector in China and assessment of potential mitigation options

作者
通讯作者Zheng, Yi
发表日期
2019-07-15
DOI
发表期刊
ISSN
0168-1923
EISSN
1873-2240
卷号272页码:1-11
摘要

China contributes approximately 10% of the total global methane (CH4) emissions from its livestock sector. However, existing inventories of CH4 emissions from the livestock sector involve significant uncertainty, and the reduction potentials and spatially varying efficiencies of different technical options (adding lipid to diets, acidification, composting, anaerobic digestion, and the combination of composting and anaerobic digestion) have not been systematically assessed at the provincial level. Here, we used a bottom-up approach to compile an up-to-date high-resolution CH4 emission inventory for the livestock sector in China using provincial condition specific emission factors by considering the gross energy intake and the ambient temperature at the provincial level. A 1-km x 1-km gridded map was produced for 2014, and the temporal trends of the CH4 emissions from 1978 to 2013 were re-visited. The effects of the technical mitigation options that could have been used on CH4 emissions were further evaluated in five different scenarios. Livestock sector CH4 emissions decreased by 1.2 Tg CH4 per year from the period of 1999-2006 to the period of 2007-2014, and this rate was approximately 17-28% lower than previous estimates. During the period of 1978-2014, spatial-temporal emission trends indicated a possible relationship between the Chinese government policies and emissions to some extent and a northward shift of emission hotspots induced by economic and policy incentives. Hotspots with high mitigation potential and efficiency (the achieved reduction under a specific mitigation scenario divided by the baseline emissions from the species affected by the respective technical option) were also identified. The combination of composting and anaerobic digestion is a recommended policy, which can simultaneously address slurry and solid manure and significantly mitigated of CH4 emissions. Overall, this study provides insights into the region-dependent implementation of technical options used to reduce CH4 emissions from the livestock sector in China.

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相关链接[来源记录]
收录类别
语种
英语
学校署名
第一 ; 通讯
资助项目
Southern University of Science and Technology[G01296001]
WOS研究方向
Agriculture ; Forestry ; Meteorology & Atmospheric Sciences
WOS类目
Agronomy ; Forestry ; Meteorology & Atmospheric Sciences
WOS记录号
WOS:000469158400001
出版者
ESI学科分类
AGRICULTURAL SCIENCES
来源库
Web of Science
引用统计
被引频次[WOS]:28
成果类型期刊论文
条目标识符http://sustech.caswiz.com/handle/2SGJ60CL/25510
专题工学院_环境科学与工程学院
作者单位
1.Southern Univ Sci & Technol, Sch Environm Sci & Engn, Shenzhen 518055, Guangdong, Peoples R China
2.Wuhan Univ, Sch Water Resources & Hydropower Engn, Wuhan 430072, Hubei, Peoples R China
3.Peking Univ, Sch Environm & Energy, Shenzhen Grad Sch, Shenzhen 518055, Peoples R China
4.Southern Univ Sci & Technol, Shenzhen Municipal Engn Lab Environm IoT Technol, Shenzhen 518055, Guangdong, Peoples R China
5.Sichuan Agr Univ, Anim Nutr Inst, Key Lab Bovine Low Carbon Farming & Safe Prod, Chengdu 611130, Sichuan, Peoples R China
6.Univ Illinois, Dept Civil & Environm Engn, 205 North Mathews Ave, Urbana, IL 61801 USA
第一作者单位环境科学与工程学院
通讯作者单位环境科学与工程学院;  南方科技大学
第一作者的第一单位环境科学与工程学院
推荐引用方式
GB/T 7714
Xu, Peng,Liao, Yajun,Zheng, Yi,et al. Northward shift of historical methane emission hotspots from the livestock sector in China and assessment of potential mitigation options[J]. AGRICULTURAL AND FOREST METEOROLOGY,2019,272:1-11.
APA
Xu, Peng.,Liao, Yajun.,Zheng, Yi.,Zhao, Chenxu.,Zhang, Xiangfei.,...&Luan, Shengji.(2019).Northward shift of historical methane emission hotspots from the livestock sector in China and assessment of potential mitigation options.AGRICULTURAL AND FOREST METEOROLOGY,272,1-11.
MLA
Xu, Peng,et al."Northward shift of historical methane emission hotspots from the livestock sector in China and assessment of potential mitigation options".AGRICULTURAL AND FOREST METEOROLOGY 272(2019):1-11.
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