1 |
SARKODIE S A, OWUSU P A. Escalation effect of fossil-based CO2 emissions improves green energy innovation[J]. Science of the Total Environment, 2021, 785.DOI:10.1016/J.SCITOTENV.2021.147257
doi: 10.1016/J.SCITOTENV.2021.147257
|
2 |
PAN Jiahua, LI Meng, ZHANG Kun. China's plan to achieve carbon peak and carbon neutralization[N]. China Social Science Journal, 2021-11-26(006).
|
2 |
潘家华,李萌,张坤.实现碳达峰碳中和的中国方案[N].中国社会科学报,2021-11-26(006).
|
3 |
WANG Shaohong. Current situation, challenges and breakthroughs of China's energy transformation under the goal of carbon peak[J]. Price Theory and Practice,2021,1-5[2021-12-07].
doi: 10.19851/j.cnki.CN111010/F.2021.08.246
|
3 |
DOI:10.19851/j.cnki.CN111010/F.2021.08.246.王少洪.碳达峰目标下我国能源转型的现状、挑战与突破[J]. 价格理论与实践,2021:1-5[2021-12-07].DOI:10.19851/j.cnki.CN111010/F.2021.08.246 .
doi: 10.19851/j.cnki.CN111010/F.2021.08.246
|
4 |
CHEN Jizhen, ZHANG Jun, XUE Liang. Analysis of the spatio-temporal differences of relative poverty levels in Shaanxi Province based on night light data[J]. Remote SensingTechnology and Applications,2022,37(4):908-918.
|
4 |
陈吉臻,张君,薛亮. 基于夜间灯光数据的陕西省县域相对贫困水平时空差异分析[J].遥感技术与应用,2022,37(4):908-918.
|
5 |
WANG Han, HU Ziyuan, LI Fuquan, et al. Research on the spatial-temporal process of urbanization in Chengdu-Chongqing region based on nighttime light from 2000 to 2018[J]. Remote Sensing Technology and Applications,2022,37(4):897-907.
|
5 |
王晗,胡自远,李付全,等.基于夜间灯光的2000-2018年成渝地区城市化过程研究[J].遥感技术与应用, 2022, 37(4):897-907.
|
6 |
ZOU Dan, ZHOU Yuke, LIN Jingtang, et al. Analysis of inequality of socioeconomic development on both sides of Hu Huanyong line using nighttime light[J]. Remote Sensing Technology and Applications,2022,37(4):929-937.
|
6 |
邹丹,周玉科,林金堂,等.利用夜间灯光分析胡焕庸线两侧社会经济发展不均衡状况[J].遥感技术与应用,2022,37(4):929-937.
|
7 |
MA Zhongyu, XIAO Hongwei. Spatiotemporal simulation of carbon emissions in different provinces of China based on satellite night light data[J]. China's Population,Resources and Environment, 2017, 27(9):143-150.
|
7 |
马忠玉,肖宏伟.基于卫星夜间灯光数据的中国分省碳排放时空模拟[J].中国人口·资源与环境, 2017, 27(9):143-150.
|
8 |
XU Yanyan, ZHOU Yangang, LI Hongzhong, et al. Study on temporal and spatial dynamic characteristics of carbon emission in Chengdu Chongqing Urban Agglomeration based on DMSP/OLS night light data[J]. Environmental Pollution and Prevention,2019,41(12):1504-1511.
|
8 |
许燕燕,周廷刚,李洪忠,等.基于DMSP/OLS夜间灯光数据的成渝城市群碳排放时空动态特征研究[J].环境污染与防治, 2019, 41(12):1504-1511.
|
9 |
GUO Xinyi, YAN Qingwu, TAN Xiaoyue, et al. Simulation of spatial distribution of carbon emissions in Jiangsu Province based on DMSP/OLS and NDVI[J]. Research on World Geography, 2016, 25(4):102-110.
|
9 |
郭忻怡,闫庆武,谭晓悦, 等.基于DMSP/OLS与NDVI的江苏省碳排放空间分布模拟[J].世界地理研究, 2016, 25(4):102-110.
|
10 |
YU Bailang, WANG Congxiao, GONG Wenkang,et al. Research on night light remote sensing and urban problems: Data, methods, applications and Prospects[J]. Journal of Remote Sensing, 2021, 25(1):342-364.
|
10 |
余柏蒗,王丛笑,宫文康,等.夜间灯光遥感与城市问题研究:数据、方法、应用和展望[J].遥感学报, 2021, 25(1):342-364.
|
11 |
LI Feng, LIU Jun, LIU Wenlong, et al. Temporal and spatial dynamic analysis of carbon emission from night light data in Beijing Tianjin Hebei County[J]. Journal of Xinyang Normal University(Natual Science Edition),2021,34(2):230-236.
|
11 |
李峰,刘军,刘文龙,等.京津冀县域夜间灯光数据碳排放时空动态分析[J].信阳师范学院学报(自然科学版), 2021, 34(2):230-236.
|
12 |
SUN Guiyan, WANG Sheng, XIAO Lei. Study on carbon emission and influencing factors of energy consumption in the upper reaches of the Yangtze River based on night light data[J].Regional Research and Development,2020,39(4):159-162,174.
|
12 |
孙贵艳,王胜,肖磊.基于夜间灯光数据的长江上游地区能源消费碳排放及影响因素研究[J].地域研究与开发, 2020, 39(4):159-162,174.
|
13 |
LI Xiang, ZHU Jiang, YIN Xiangdong, et al. Spatialization of GDP in Guangdong Province using night light data of Luojia-01[J]. Remote Sensing Information, 2021, 36(2):40-45.
|
13 |
李翔,朱江,尹向东,等.利用珞珈一号夜间灯光数据的广东省GDP空间化[J].遥感信息, 2021, 36(2):40-45.
|
14 |
LOU Ge, CHEN Qiuxiao. Research on rural population spatialization method based on "Luojia-01" luminous remote sensing data fusion[J].Architecture and Culture, 2021(1):74-75.
|
14 |
娄格,陈秋晓.基于“珞珈一号”夜光遥感数据融合的乡村人口空间化方法研究[J].建筑与文化, 2021(1):74-75.
|
15 |
WANG Meiling, ZHANG Hesheng. Study on population spatialization based on night light data of Luojia-01[J]. Geospatial Information, 2021, 19(9):53-56,7.
|
15 |
王美玲,张和生.基于珞珈一号夜间灯光数据的人口空间化研究[J].地理空间信息, 2021, 19(9):53-56,7.
|
16 |
YU Tingting. Study on population spatialization in Ganjingzi District of Dalian based on night light data of Luojia-01[J]. Scientific and Technological Innovation,2021(1): 91-92.
|
16 |
于婷婷.基于珞珈一号夜间灯光数据的大连市甘井子区人口空间化研究[J].科学技术创新, 2021(1):91-92.
|
17 |
LU Yifan, LIANG Yingran, LU Siyan, et al. Simulation of spatial distribution of carbon emissions in Guangzhou and analysis of its influencing factors based on "Luojia-01" night lights and urban functional zoning[J]. Journal of Geoinformation Science, 2022, 24(6):1176-1188.
|
17 |
卢奕帆,梁颖然,卢思言,等.结合“珞珈一号”夜间灯光与城市功能分区的广州市碳排放空间分布模拟及其影响因素分析[J].地球信息科学学报, 2022, 24(6):1176-1188.
|
18 |
WANG Jian, XUE Dongqian, MA Beibei. Research on decomposition of carbon emission factors of energy consumption in Xi'an based on GFI model[J]. Geography of Arid Areas, 2018, 41(6):1388-1395.
|
18 |
王剑,薛东前,马蓓蓓.基于GFI模型的西安市能源消费碳排放因素分解研究[J].干旱区地理, 2018, 41(6):1388-1395.
|
19 |
KANG Mingmin. Research on peak value prediction and control strategy of carbon emission in Xi'an[D].Xi'an:Xi'an University of Architecture and Technology,2020.
|
19 |
康铭敏.西安市碳排放峰值预测及控制策略研究[D].西安:西安建筑科技大学, 2020.
|
20 |
ZHONG Liang, LIU Xiaosheng. Application potential analysis of new night light data of Luojia-01[J]. Bulletin of Surveying and Mapping, 2019(7):132-137.
|
20 |
钟亮,刘小生.珞珈一号新型夜间灯光数据应用潜力分析[J]. 测绘通报, 2019(7):132-137.
|
21 |
Luojia-01 satellite data and application service [J]. Satellite Application, 2019(5): 26-29.
|
21 |
珞珈一号 01 星数据与应用服务[J].卫星应用, 2019(5):26-29.
|
22 |
HONG Yeying, XIANG Sijie, CHEN Jingxin. An empirical study on the impact of population size and structure on carbon emissions in Chongqing: An analysis based on STIRPAT model[J]. Northwest Population, 2015, 36(3):13-17.
|
22 |
洪业应,向思洁,陈景信.重庆市人口规模、结构对碳排放影响的实证研究——基于STIRPAT模型的分析[J].西北人口, 2015,36(3):13-17.
|
23 |
LI Guozhi, ZHOU Ming. Dynamic effects of population and consumption on carbon dioxide emissions: An empirical analysis based on variable parameter model[J]. Population Studies, 2012, 36(1):63-72.
|
23 |
李国志,周明.人口与消费对二氧化碳排放的动态影响——基于变参数模型的实证分析[J].人口研究, 2012, 36(1):63-72.
|
24 |
YANG Zhen, LI Zehao. Study on carbon emission measurement and dynamic characteristics of its driving factors in Central China[J]. Ecological Economy, 2022, 38(5):13-20.
|
24 |
杨振,李泽浩.中部地区碳排放测度及其驱动因素动态特征研究[J].生态经济, 2022, 38(5):13-20.
|
25 |
ZHONG Yusheng. The impact of population change on carbon emissions in Jiangxi Province-Based on STIRPAT extended model[J]. Journal of Fujian Business College, 2017(4):14-21.
|
25 |
钟宇声.江西省人口变动对碳排放的影响——基于STIRPAT扩展模型[J].福建商学院学报, 2017(4):14-21.
|
26 |
CHUAI X W, FENG J X. High resolution carbon emissions simulation and spatial heterogeneity analysis based on big data in Nanjing City, China[J]. Science of the Total Environment,2019, 686:828-837.DOI:10.1016/j.scitotenv.2019.05.138
doi: 10.1016/j.scitotenv.2019.05.138
|
27 |
LIU Chang, SU Yun, LI Lingling. Estimation and spatial distribution of carbon emissions from county energy consumption in China[J]. Environmental Pollution and Prevention, 2020, 42(1):113-119.
|
27 |
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.
|
28 |
MURA M, LONGO M, TOSCHI L, et al. Industrial carbon emission intensity: A comprehensive dataset of European regions[J].Data in Brief,2021,36. DOI:10.1016/J.DIB.2021. 107046
doi: 10.1016/J.DIB.2021. 107046
|
29 |
YIN J L, DING Q, FAN X H. Direct and indirect contributions of energy consumption structure to carbon emission intensity[J]. International Journal of Energy Sector Management, 2021, 15(3).DOI:10.1108/IJESM-08-2020-0009
doi: 10.1108/IJESM-08-2020-0009
|
30 |
XU Huan, FU Bihong, GUO Qiang, et al. Study on the integration process of Xi'an and Xianyang and urban expansion[J]. Journal of Remote Sensing, 2018, 22(2):347-359.
|
30 |
徐焕,付碧宏,郭强,等.西咸一体化过程与城市扩展研究[J].遥感学报, 2018, 22(2):347-359.
|
31 |
GUAN Mingjie, YUAN Yanhong, RAN Muxi, et al.Influencing factors and peak value prediction of energy carbon emission in Shanxi Province based on STIRPAT model[J]. Chinese Coal,2021,47(9):48-55.
|
31 |
关敏捷,袁艳红,冉木希,等.基于STIRPAT模型的山西省能源碳排放影响因素及峰值预测[J].中国煤炭, 2021, 47(9):48-55.
|
32 |
ZHANG M M, YANG Z K, LIU L Y, et al. Impact of renewable energy investment on carbon emissions in China - An empirical study using a nonparametric additive regression model[J]. Science of the Total Environment, 2021, 785.DOI:10.1016/J.SCITOTENV.2021.147109
doi: 10.1016/J.SCITOTENV.2021.147109
|
33 |
GAO C X, TAO S M, HE Y Y, et al. Effect of population migration on spatial carbon emission transfers in China[J]. Energy Policy,2021,156. DOI:10.1016/J.ENPOL.2021. 112450
doi: 10.1016/J.ENPOL.2021. 112450
|
34 |
LI J B, HUANG X J, CHUAI X W, et al. The impact of land urbanization on carbon dioxide emissions in the Yangtze River Delta, China: A multiscale perspective[J]. Cities, 2021, 116.DOI:10.1016/J.CITIES.2021.103275
doi: 10.1016/J.CITIES.2021.103275
|
35 |
Building characteristic industrial clusters, building a modern aviation new city, national Shaanxi aviation economic and technological development zone, Xi'an Yanliang National Aviation high tech industrial base [J]. Electronic technology, 2012, 25(3):127.打造特色产业集群建设现代航空新城国家级陕西航空经济技术开发区西安阎良国家航空高技术产业基地[J].电子科技, 2012, 25(3):127.
|
36 |
LI Ni. "Made in Gaoling" to "intelligent made in Gaoling"[N]. Shaanxi Daily, 2020-12-02(011).
|
36 |
李妮.“高陵制造”驶向“高陵智造”[N]. 陕西日报, 2020-12-02(011).
|
37 |
MA Jingfu. Empirical study on environmental Kuznets curve of carbon emission in Liaoning Province[J]. Energy Conservation, 2021, 40(5):58-62.
|
37 |
马景富.辽宁省碳排放的环境库兹涅茨曲线实证研究[J].节能, 2021, 40(5):58-62.
|