Spatiotemporal patterns of industrial carbon emissions at the city level

被引:91
作者
Chen, Lei [1 ,2 ]
Xu, Linyu [3 ]
Cai, Yanpeng [1 ,2 ]
Yang, Zhifeng [1 ,2 ]
机构
[1] Guangdong Univ Technol, Minist Educ, Inst Environm & Ecol Engn, Key Lab City Cluster Environm Safety & Green Dev, Guangzhou 510006, Peoples R China
[2] Southern Marine Sci & Engn Guangdong Lab, Guangzhou 511458, Peoples R China
[3] Beijing Normal Univ, Sch Environm, State Key Lab Water Environm Simulat, Beijing 100875, Peoples R China
关键词
Spatiotemporal pattern; Standard deviational ellipse; Industrial carbon emissions; Guangdong; CHINA CEMENT INDUSTRY; LONG-TERM TRENDS; CO2; EMISSIONS; URBAN AGGLOMERATION; SPATIAL-PATTERNS; SOUTHEAST-ASIA; CITIES; CONSUMPTION; DYNAMICS; IMPACT;
D O I
10.1016/j.resconrec.2021.105499
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Research on the dynamic distribution characteristics of carbon emissions and their evolution patterns is of importance to unify carbon reduction targets. This study aimed to measure the industrial carbon emissions by energy consumption and the cement production process in Guangdong from 2005-2015, and it empirically analyzed the distribution dynamics and evolution of the inter-regional carbon emissions. It concludes that, there was significant spatial non-equilibrium in the industrial carbon emissions, the carbon intensity in the Pearl River Delta (PRD) was less than that of the peripheral cities, and the results showed that the overall gap in the spatial distribution of the industrial carbon emissions showed an expanding trend with its evolution to the east. Among them, Northern Guangdong showed a downward trend. The carbon emissions of the PRD were greatly reduced with the external strong radiation. The carbon emission reduction policies should be tailored to local conditions according to the development levels.
引用
收藏
页数:9
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共 46 条
[1]   Globalization and the shifting centers of gravity of world's human dynamics: Implications for sustainability [J].
Balsa-Barreiro, Jose ;
Li, Yingcheng ;
Morales, Alfredo ;
Pentland, Alex Sandy .
JOURNAL OF CLEANER PRODUCTION, 2019, 239
[2]   A benchmark city-level carbon dioxide emission inventory for China in 2005 [J].
Cai, Bofeng ;
Lu, Jun ;
Wang, Jinnan ;
Dong, Huijuan ;
Liu, Xiaoman ;
Chen, Yang ;
Chen, Zhanming ;
Cong, Jianhui ;
Cui, Zhipeng ;
Dai, Chunyan ;
Fang, Kai ;
Feng, Tong ;
Guo, Jie ;
Li, Fen ;
Meng, Fanxin ;
Tang, Wei ;
Wang, Gengzhe ;
Xie, Yunsheng ;
Zhang, Jianjun .
APPLIED ENERGY, 2019, 233 :659-673
[3]   Toward a better practice for estimating the CO2 emission factors of cement production: An experience from China [J].
Cao, Zhi ;
Shen, Lei ;
Zhao, Jianan ;
Liu, Litao ;
Zhong, Shuai ;
Sun, Yanzhi ;
Yang, Yan .
JOURNAL OF CLEANER PRODUCTION, 2016, 139 :527-539
[4]   Spatiotemporal dynamics of ecosystem fires and biomass burning-induced carbon emissions in China over the past two decades [J].
Chen, Anping ;
Tang, Rongyun ;
Mao, Jiafu ;
Yue, Chao ;
Li, Xiran ;
Gao, Mengdi ;
Shi, Xiaoying ;
Jin, Mingzhou ;
Ricciuto, Daniel ;
Rabin, Sam ;
Ciais, Phillippe ;
Piao, Shilong .
GEOGRAPHY AND SUSTAINABILITY, 2020, 1 (01) :47-58
[5]   A gravity model and exploratory spatial data analysis of prefecture-scale pollutant and CO2 emissions in China [J].
Chen, Jiandong ;
Xu, Chong ;
Li, Ke ;
Song, Malin .
ECOLOGICAL INDICATORS, 2018, 90 :554-563
[6]   Inequality of industrial carbon emissions of the urban agglomeration and its peripheral cities: A case in the Pearl River Delta, China [J].
Chen, Lei ;
Xu, Linyu ;
Yang, Zhifeng .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2019, 109 :438-447
[7]   Accounting carbon emission changes under regional industrial transfer in an urban agglomeration in China's Pearl River Delta [J].
Chen, Lei ;
Xu, Linyu ;
Yang, Zhifeng .
JOURNAL OF CLEANER PRODUCTION, 2017, 167 :110-119
[8]   Optimization of urban industrial structure under the low-carbon goal and the water constraints: a case in Dalian, China [J].
Chen, Lei ;
Xu, Linyu ;
Xu, Qiao ;
Yang, Zhifeng .
JOURNAL OF CLEANER PRODUCTION, 2016, 114 :323-333
[9]   Mapping spatiotemporal variations of CO2 (carbon dioxide) emissions using nighttime light data in Guangdong Province [J].
Cui, Xiaolin ;
Lei, Yutong ;
Zhang, Fan ;
Zhang, Xueyan ;
Wu, Feng .
PHYSICS AND CHEMISTRY OF THE EARTH, 2019, 110 :89-98
[10]   Spatiotemporal characteristics of China's carbon emissions and driving forces: A Five-Year Plan perspective from 2001 to 2015 [J].
Gao, Chaochao ;
Ge, Haoqing .
JOURNAL OF CLEANER PRODUCTION, 2020, 248