1 |
Zhao Rongqin, Huang Xianjin, Zhong Taiyang. Research on carbon emission intensity and carbon footprint of different industrial spaces in China [J]. Acta Geographica Sinica, 2010, 65(9): 1048–1057.
|
1 |
赵荣钦, 黄贤金, 钟太洋. 中国不同产业空间的碳排放强度与碳足迹分析[J]. 地理学报,2010, 65(9): 1048–1057.
|
2 |
Wang Xingmin, Wu Jing, Wang Zheng, et al. An accounting of CO2 emission in Chinese cities and spatial pattern analysis[J]. Urban and Environmental Studies, 2020, 1: 67–80.
|
2 |
王兴民, 吴静, 王铮, 等. 中国城市CO2排放核算及其特征分析[J]. 城市与环境研究, 2020,1: 67–80.
|
3 |
Bao Sen, Tian Lixin, Wang Junshuai. Trend forecast of energy production and consumption in China and research of carbon emissions[J]. Journal of Natural Resources,2010,25(8): 1248-1254.
|
3 |
包森, 田立新, 王军帅. 中国能源生产与消费趋势预测和碳排放研究[J]. 自然资源学报, 2010, 25(8): 1248–1254.
|
4 |
Lai L, Huang X J, Yang H, et al. Carbon emissions from land-use change and management in China between 1990 and 2010 [J]. Science Advances, 2016, 2 (11): e1601063. DOI: 10.1126/sciadv.1601063 .
doi: 10.1126/sciadv.1601063
|
5 |
Liu Z, Guan D, Wei W, et al. Reduced carbon emission estimates from fossil fuel combustion and cement production in China[J]. Nature,2015,524(7565):335-338. DOI:10.1038/nature14677 .
doi: 10.1038/nature14677
|
6 |
Duan F M, Wang Y, Wang Y, et al. Estimation of marginal abatement costs of CO2 in Chinese provinces under 2020 carbon emission rights allocation: 2005–2020[J]. Environmental Science and Pollution Research, 2018, 25: 24445–24468. DOI:10.1007/s11356-018-2497-x .
doi: 10.1007/s11356-018-2497-x
|
7 |
Wang G Z, Han Q, Bauke D V. Assessment of the relation between land use and carbon emission in Eindhoven, the Netherlands [J]. Journal of Environmental Management, 2019, 247: 413–424. DOI: 10.1016/j.jenvman.2019.06.064
doi: 10.1016/j.jenvman.2019.06.064
|
8 |
Cui YF, Li L, Chen LQ, et al. Land-use carbon emissions estimation for the Yangtze River Delta urban agglomeration using,1994-2016 Landsat image data[J].Remote Sensing,2018,10(9):1–21. DOI: 10.3390/rs10091334 .
doi: 10.3390/rs10091334
|
9 |
Liu Chang, Su Yun, Li Lingling. The estimatiom and spatial distribution of the carbon emissions of county units in China[J].Environmental Pollution and Prevention,2020,42(1):113-119.
|
9 |
刘畅, 苏筠, 黎玲玲. 中国县域能源消费碳排放估算及其空间分布[J]. 环境污染与防治,2020,42(1):113-119.
|
10 |
Jing Qiaonan, Hou Huimin, Bai Hongtao, et al. A top-bottom estimation method for city-level energy-related CO2 emissions[J].China Environmental Science,2019,39(1):420-427.
|
10 |
景侨楠, 侯慧敏, 白宏涛,等. 自上而下的城市能源消耗碳排放估算方法[J]. 中国环境科学, 2019, 39(1): 420-427.
|
11 |
Zhu S L. Comparison and analysis of CO2 emissions data for China [J]. Advances in Climate Change Research, 2014, 5(1): 17–27. DOI: 10.3724/SP.J.1248.2014.017 .
doi: 10.3724/SP.J.1248.2014.017
|
12 |
Li Qingqing, Su Ying, Shang Li, et al. Comparison analysis of China’s emissions accounting by typical international carbon databases[J]. Climate Change Research, 2018, 14(3): 275–280.
|
12 |
李青青, 苏颖, 尚丽, 等. 国际典型碳数据库对中国碳排放核算的对比分析[J]. 气候变化研究进展, 2018, 14(3): 275–280.
|
13 |
Abdul W S A, Charabi Y, Al-Maamari R, et al. CO2 greenhouse emissions in oman over the last forty-two years: review[J]. Renewable and Sustainable Energy Reviews, 2015, 52: 1702–1712. DOI:10.1016/j.rser.2015.07.193 .
doi: 10.1016/j.rser.2015.07.193
|
14 |
Aslan A, Destek M A, Okumus I. Sectoral carbon emissions and economic growth in the US: further evidence from rolling window estimation method[J]. Journal of Cleaner Production,2018,200:402-411. DOI: 10.1016/j.jclepro.2018.07.237 .
doi: 10.1016/j.jclepro.2018.07.237
|
15 |
Wang J, Cai B F, Zhang L X, et al. High resolution carbon dioxide emission gridded data for China derived from point sources[J]. Environmental Science & Technology, 2014, 48(12): 7085–7093. DOI: 10.1021/es405369r .
doi: 10.1021/es405369r
|
16 |
Singh P, Kansal A, Carliell M C. Energy and carbon footprints of sewage treatment methods[J]. Journal of Environmental Management,2016,165:22-30. DOI:10.1016/j.jenvman.2015.09.017 .
doi: 10.1016/j.jenvman.2015.09.017
|
17 |
Shan Y L, Guan D B, Zheng H R, et al. China CO2 emission accounts 1997-2015[J]. Scientific Data,2018,5:170201. DOI:10.1038/sdata.2017.201 .
doi: 10.1038/sdata.2017.201
|
18 |
Lin J Y, Jacoby J, Cui S H, et al. A model for developing a target integrated low carbon city indicator system: The case of Xiamen, China[J]. Ecological Indicators, 2014, 40: 51–57. DOI: 10.1016/j.ecolind.2014.01.001 .
doi: 10.1016/j.ecolind.2014.01.001
|
19 |
Ray J, Yadav V, Michalak A M. A multi-resolution spatial parameterization for the estimation of fossil-fuel carbon dioxide emissions via atmospheric inversions[J]. Geoscientific Model Development,2014,7:1901-1918.DOI:10.5194/gmd-7-1901-2014 .
doi: 10.5194/gmd-7-1901-2014
|
20 |
Chevallier F. On the statistical optimality of CO2 atmospheric inversions assimilating CO2 column retrievals[J]. Atmospheric Chemistry and Physics,2015,15(8):11889-11923. DOI: 10.5194/acp-15-11133-2015 .
doi: 10.5194/acp-15-11133-2015
|
21 |
Wang H, Zhang R, Liu M, et al. The carbon emissions of chinese cities[J].Atmospheric Chemistry and Physics,2012, 12(14):6197-6206. DOI:10.5194/acp-12-6197-2012 .
doi: 10.5194/acp-12-6197-2012
|
22 |
Elvidge C D, Cinzano P, Pettit D, et al. Overview of the nightsat mission concept[J]. International Journal of Remote Sensing,2007,28(12):2645-2670.DOI:10.1109/URS. 2007. 371851 .
doi: 10.1109/URS. 2007. 371851
|
23 |
Yang Yang, Huang Qingxu, Zhang Liling. The spatial-temporal measurement on the land urbanization level using DMSP/OLS nighttime light data—A case study of Bohai Rim[J]. Economic Geography,2015,35(2):141-148.
|
23 |
杨洋, 黄庆旭, 章立玲. 基于DMSP/OLS夜间灯光数据的土地城镇化水平时空测度研究: 以环渤海地区为例[J]. 经济地理, 2015,35(2):141-148.
|
24 |
Zhang Q, Seto K C. Mapping urbanization dynamics at regional and global scales using multi-temporal DMSP/OLS nighttime light data[J]. Remote Sensing of Environment, 2011, 115(9): 2320-2329. DOI:10.1016/j.rse.2011.04.032 .
doi: 10.1016/j.rse.2011.04.032
|
25 |
Doll C N, Pachauri S. Estimating rural populations without access to electricity in developing countries through night-time light satellite imagery[J]. Energy policy,2010,38(10):5661-5670. DOI:10.1016/j.enpol.2010.05.014 .
doi: 10.1016/j.enpol.2010.05.014
|
26 |
Elvidge C D, Imhoff M L, Baugh K E, et al. Night-time lights of the world: 1994–1995[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2001, 56(2): 81–99. DOI: 10.1016/S0924-2716(01)00040-5 .
doi: 10.1016/S0924-2716(01)00040-5
|
27 |
Doll C H, Muller J P, Elvidge C D. Night-time imagery as a tool for global mapping of socioeconomic parameters and gre-enhouse gas emissions[J]. AMBIO,2000,29(3):157-162. DOI:10.1579/0044-7447-29.3.157 .
doi: 10.1579/0044-7447-29.3.157
|
28 |
Meng L, Graus W, Worrell E, et al. Estimating CO2 emissions at urban scales by DMSP/OLS nighttime light imagery: methodological challenges and a case study for China[J]. Energy,2014,71:468-478. DOI:10.1016/j.energy.2014.04.103 .
doi: 10.1016/j.energy.2014.04.103
|
29 |
Guo Xinyi, Yan Qingwu, Tan Xiaoyue, et al. Spatial distribution of carbon emissions based on DMSP/OLS nighttime light data and NDVI in Jiangsu Province[J]. World Regional Studies, 2016, 25(4): 102–110.
|
29 |
郭忻怡, 闫庆武, 谭晓悦, 等. 基于DMSP/OLS与NDVI的江苏省碳排放的空间分布模拟[J]. 世界地理研究, 2016, 25(4): 102–110.
|
30 |
Chen J D, Gao M, Cheng S L, et al. County-level CO2 emissions and sequestration in China during 1997-2017[J]. Scientific Data,2020,7:391-402. DOI:10.1038/s41597-020-00736-3 .
doi: 10.1038/s41597-020-00736-3
|
31 |
Su Yongxian, Chen Xiuzhi, Ye Yuyao, et al. The characteristics and mechanisms of carbon emissions from energy consumption in China using DMSP/OLS night light imageries[J]. Acta Geographica Sinica, 2014, 68 (11): 1513–1526.
|
31 |
苏泳娴, 陈修治, 叶玉瑶, 等. 基于夜间灯光数据的中国能源消费碳排放特征及机理[J]. 地理学报, 2014, 68(11): 1513–1526.
|
32 |
He Wenju, Zhang Huafeng, Chen xiongchao, et al. An empirical study about population density, economic agglomeration and carbon emission state of Chinese Provinces: based on the perspective of agglomeration economy effects, congestion effects and spatial effects[J].Nankai Economic Studies,2019,2: 207-225.
|
32 |
何文举, 张华峰, 陈雄超, 等. 中国省域人口密度、产业集聚与碳排放的实证研究—基于集聚经济、拥挤效应及空间效应的视角[J]. 南开经济研究,2019,2:207-225.
|
33 |
Zhang Yongnian, Pan Jinghu. Spatio-temporal simulation and differentiation pattern of carbon emissions in China based on DMSP/OLS nighttime light data[J]. China Environmental Science,2019,39(4):1436-1446.
|
33 |
张永年, 潘竟虎. 基于DMSP/OLS数据的中国碳排放时空模拟与分异格局[J]. 中国环境科学, 2019, 39(4): 1436-1446.
|
34 |
Shi K F, Yu B L, Huang Y X, et al. Evaluating the ability of NPP-VIIRS nighttime light data to estimate the gross domestic product and the electric power consumption of China at multiple scales: A comparison with DMSP-OLS data[J]. Remote Sensing,2014,6(2):1705-1724.DOI:10.3390/rs 6021705 .
doi: 10.3390/rs 6021705
|
35 |
Zhou Yi, Chen Ying, Liu Yang, et al. Generation and verification of NPP-VIIRS annual nighttime light data[J]. Remote Sensing Information, 2019, 34(2): 62–68.
|
35 |
周翼, 陈英, 刘洋, 等. NPP-VIIRS年度夜间灯光数据的合成与验证[J]. 遥感信息,2019, 34(2): 62–68.
|
36 |
Henderson M, Yeh E T, Gong P, et al. Validation of urban boundaries derived from global night-time satellite imagery[J]. International Journal of Remote Sensing, 2003, 24(3): 595–609. DOI:10.1080/01431160304982 .
doi: 10.1080/01431160304982
|
37 |
Wang Yong, Cheng Yu, Yang Guangchun, et al. Provincial decomposition of China's carbon emission rights under the constraint of 2020 and 2030 carbon intensity targets[J]. China Environmental Science,2018,38(8):3180-3188.
|
37 |
王勇, 程瑜, 杨光春, 等. 2020和2030年碳强度目标约束下中国碳排放权的省区分解[J]. 中国环境科学,2018,38(8):3180-3188.
|
38 |
Ma Hailiang, Zhang Hongyan, Wu Fengping. Research on the prediction of carbon emissions distribution based on simulation analysis[J]. Soft Science, 2016, 30 (10): 75–78.
|
38 |
马海良, 张红艳, 吴凤平. 基于情景分析法的中国碳排放分配预测研究[J]. 软科学, 2016, 30(10): 75–78.
|
39 |
Li Haiping, Long Mi, Li Guangyi. Spatial-temporal dynamics of carbon dioxide emissions in China based on DMSP/OLS nighttime stable light data[J]. China Environmental Science, 2018,38(7):2777-2784.
|
39 |
李海萍,龙宓,李光一.基于DMSP/OLS数据的区域碳排放时空动态研究[J]. 中国环境科学,2018,38(7):2777-2784.
|
40 |
International Energy Agency (IEA). CO2 emissions from fuel combustion highlights 2016[R]. Paris,France,2016:1-166.
|
41 |
U.S. Energy Information Administration (EIA). U.S. Energy Information Administration [EB/OL]. 2017 [2017-06-09]. .
|
42 |
Jiang W B, Liu W D. Provincial-Level CO2 emissions intensity inequality in China: Regional source and explanatory factors of interregional and intraregional inequalities[J]. Sustainability,2020,12:2529. DOI:10.3390/su12062529 .
doi: 10.3390/su12062529
|
43 |
Wen L, Shao H Y. Analysis of influencing factors of the carbon dioxide emissions in China’s commercial department based on the STIRPAT model and ridge regression [J]. Environmental science and pollution research, 2019, 26:27138-27147. DOI:10.1007/s11356-019-05929-x .
doi: 10.1007/s11356-019-05929-x
|