GSTDTAP  > 气候变化
DOI10.1088/1748-9326/ab6edc
High-resolution spatiotemporal patterns of China's FFCO2 emissions under the impact of LUCC from 2000 to 2015
Zhao, Jing1,2; Cohen, Jason Blake3,4; Chen, Yating5; Cui, Weihong6,7; Cao, Qianqian1,2; Yang, Tengfei1,2; Li, Guoqing1,2
2020-04-01
发表期刊ENVIRONMENTAL RESEARCH LETTERS
ISSN1748-9326
出版年2020
卷号15期号:4
文章类型Article
语种英语
国家Peoples R China; USA
英文摘要

Fossil fuel carbon dioxide (FFCO2) emissions have become a principal driver behind the increase of atmospheric CO2 concentration and spatiotemporal variations of atmospheric CO2 in the urban surface layer. This study quantifies the 2000-2015 urban high-resolution spatiotemporal patterns of China's FFCO2 emissions under the impact of the land-use and land-cover change. Multi-source data were used together with various up-to-date geostatistics and spatial analysis methods. FFCO2 emissions were determined to rise over the 15 years in the highest emitting cities in the South and East of China. The high-value clusters inside of all cities expanded outward from their city centers and in some cases transferred to economic development zones or new city centers, while the expansion speeds and variation time were found to differ significantly. We found further that then FFCO2 emissions spatial distribution is interconnected with diverse factors: urbanization, and either croplands (rainfed, irrigated, and post-flooding) or native vegetation, being the two most important. As expected, the increase in urban areas was associated with increased FFCO2 emissions, while the wettability in croplands or the increase in native vegetation have an association with the decrease of FFCO2 emissions. Unlike previous studies, we have found no change associated with changes in water cover. Finally, while the primary source of FFCO2 emissions is still coal, there has been a gradual move to cleaner energy (natural gas in Beijing) or more efficient industrial processes (Wuxi and Dalian), although diverse industrial structures and energy efficiencies exist. Over time, the current spatial patterns of FFCO2 emissions in China will conflict with these trends at the macroscale.


英文关键词FFCO2 emissions LUCC spatiotemporal patterns multi-source data hotspots
领域气候变化
收录类别SCI-E
WOS记录号WOS:000521461700001
WOS关键词LEVEL CARBON EMISSIONS ; ANTHROPOGENIC EMISSIONS ; ATMOSPHERIC TRANSPORT ; METHANE EMISSIONS ; CO2 CONCENTRATION ; INVENTORY ; MODEL ; UNCERTAINTIES ; SIMULATIONS ; EUROPE
WOS类目Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/279303
专题气候变化
作者单位1.Natl Earth Observat Data Ctr, Beijing 100094, Peoples R China;
2.Chinese Acad Sci, Aerosp Informat Res Inst, China Remote Sensing Ground Stn, Beijing 100094, Peoples R China;
3.Sun Yat Sen Univ, Sch Atmospher Sci, Zhuhai 519082, Guangdong, Peoples R China;
4.Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai 519000, Peoples R China;
5.Iowa State Univ, Dept Geol & Atmospher Sci, Ames, IA 50014 USA;
6.Chinese Acad Sci, Aerosp Informat Res Inst, Natl Engn Ctr Geoinformat, Beijing 100094, Peoples R China;
7.IEAS, Beijing 100010, Peoples R China
推荐引用方式
GB/T 7714
Zhao, Jing,Cohen, Jason Blake,Chen, Yating,et al. High-resolution spatiotemporal patterns of China's FFCO2 emissions under the impact of LUCC from 2000 to 2015[J]. ENVIRONMENTAL RESEARCH LETTERS,2020,15(4).
APA Zhao, Jing.,Cohen, Jason Blake.,Chen, Yating.,Cui, Weihong.,Cao, Qianqian.,...&Li, Guoqing.(2020).High-resolution spatiotemporal patterns of China's FFCO2 emissions under the impact of LUCC from 2000 to 2015.ENVIRONMENTAL RESEARCH LETTERS,15(4).
MLA Zhao, Jing,et al."High-resolution spatiotemporal patterns of China's FFCO2 emissions under the impact of LUCC from 2000 to 2015".ENVIRONMENTAL RESEARCH LETTERS 15.4(2020).
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Zhao, Jing]的文章
[Cohen, Jason Blake]的文章
[Chen, Yating]的文章
百度学术
百度学术中相似的文章
[Zhao, Jing]的文章
[Cohen, Jason Blake]的文章
[Chen, Yating]的文章
必应学术
必应学术中相似的文章
[Zhao, Jing]的文章
[Cohen, Jason Blake]的文章
[Chen, Yating]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。