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DMSP/OLS夜光数据的珠三角碳排放时空差异性分析
引用本文:王艳军,王孟杰,柳林,李少春,林云浩.DMSP/OLS夜光数据的珠三角碳排放时空差异性分析[J].遥感学报,2022,26(9):1824-1837.
作者姓名:王艳军  王孟杰  柳林  李少春  林云浩
作者单位:1.湖南科技大学 测绘遥感信息工程湖南省重点实验室, 湘潭 411201;2.湖南科技大学 地理空间信息技术国家地方联合工程实验室, 湘潭 411201;3.湖南科技大学 资源环境与安全工程学院, 湘潭 411201;4.广州大学地理科学与遥感学院 公共安全地理信息分析中心, 广州 510006;5.辛辛那提大学地理系 ,美国辛辛那提, OH 45221-0131
基金项目:国家自然科学基金(编号:41971423,31972951,41771462);湖南省自然科学基金优青项目(编号:2020JJ3020);湖南省科技计划项目(编号:2019RS2043,2019GK2132);湖南省教育厅优秀青年项目(编号:18B224);湖南省自然科学基金创新研究群体项目(编号:2020JJ1003)
摘    要:碳排放时空分布及其异质性是生态环境保护和气候变化监测研究的重要课题。本文针对珠三角城市群碳排放空间分布的精细分析,基于DMSP/OLS夜间灯光影像与土地利用数据,研究了2000年—2013年珠三角城市群碳排放时空差异性,揭示了不同地市不同用地类型的碳排放时空分布特征、碳排放增长趋势和强度趋势。结果表明:(1)2000年—2013年珠三角城市群碳排放总量一直处于增长阶段,但受2008年金融危机影响由高速增长转为缓慢增长阶段;(2)人均碳排放强度在2008年金融危机后增长速度减缓;(3)单位GDP碳排放强度在经历了2005年—2008年小幅增长阶段之后,整体呈现降低趋势;(4)地均碳排放强度方面,工矿用地的地均碳排放强度由2008年金融危机前的增长阶段过渡到危机后的降低阶段,而城镇用地的地均碳排放强度一直处于持续增长阶段。研究发现,珠三角城市群碳排放在2008年金融危机前后具有明显的时空差异性,城镇用地碳排放持续增长将成为碳减排的关键问题,本研究可为碳排放估算预测、节能减排及生态环境保护提供科学参考。

关 键 词:碳排放  时空分布  DMSP/OLS夜间灯光影像  土地利用数据  精细化
收稿时间:2020/12/13 0:00:00

Analyzing the spatiotemporal differences of carbon emission in the Pearl River Delta using DMSP/OLS nighttime light images
WANG Yanjun,WANG Mengjie,LIU Lin,LI Shaochun,LIN Yunhao.Analyzing the spatiotemporal differences of carbon emission in the Pearl River Delta using DMSP/OLS nighttime light images[J].Journal of Remote Sensing,2022,26(9):1824-1837.
Authors:WANG Yanjun  WANG Mengjie  LIU Lin  LI Shaochun  LIN Yunhao
Institution:1.Hunan Provincial Key Laboratory of Geo-Information Engineering in Surveying, Mapping and Remote Sensing, Hunan University of Science and Technology, Xiangtan 411201, China;2.National-local Joint Engineering Laboratory of Geo-spatial Information Technology, Hunan University of Science and Technology, Xiangtan 411201, China;3.School of Resource Environment and Safety Engineering, Hunan University of Science and Technology, Xiangtan 411201, China;4.School of Geography Science and Remote Sensing, Center of GeoInformatics for Public Security, Guangzhou University, Guangzhou 510275, China;5.Department of Geography, University of Cincinnati, Cincinnati, OH45221-0131, USA
Abstract:The temporal and spatial distribution of carbon emissions and their heterogeneity are important topics in the study of ecological environment protection and climate change monitoring.Based on the fine analysis of the spatial distribution of carbon emissions in the Pearl River Delta urban agglomeration, this paper studies the spatial-temporal differences of carbon emissions in the area from 2000 to 2013 based on DMSP/OLS nighttime light images and land use data. This paper also reveals the spatial-temporal distribution characteristics, growth trend, and intensity trend of carbon emissions in different cities and land types.Results show the following. (1) The total carbon emissions of the Pearl River Delta urban agglomerations from 2000 to 2013 have been in the growth stage, but due to the 2008 financial crisis, the growth has turned from a high-speed growth stage to a slow growth stage. (2) The growth rate of per capita carbon emission intensity slowed down after the 2008 financial crisis. (3) The carbon emission intensity per unit of GDP experienced a small growth stage from 2005 to 2008, and then the overall trend is decreasing. (4) In terms of carbon emission intensity per square kilometer, the average carbon emission intensity of industrial and mining land transited from the growth stage before the 2008 financial crisis to the post-crisis reduction phase, while the average carbon emission intensity of urban land has been in a continuous growth phase. The carbon emissions of the Pearl River Delta urban agglomeration have obvious temporal and spatial differences before and after the 2008 financial crisis, and the continuous growth of carbon emissions from urban land will become a key issue for carbon emission reduction.This study can provide a scientific reference for carbon emission estimation and prediction, energy conservation and emission reduction, and ecological environment protection.
Keywords:carbon emission  spatial and temporal distribution  DMSP/OLS nighttime light image  land use data  refinement
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