基于夜间灯光数据的中国能源消费碳排放特征及机理
The characteristics and mechanisms of carbon emissions from energy consumption in China using DMSP/OLS night light imageries
查看参考文献39篇
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文摘
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本研究基于DMSP/OLS夜间灯光影像实现了1992-2010年以市级为基础单元的我国碳排放估算,弥补了统计数据不全、统计口径不一的缺点。从全国、4个经济区和6大城市群3个层面的碳排放分析结果显示,我国CO2排放总量持续增长,各地区、省市增速各不相同,空间聚集程度越来越明显,基本形成了"东部沿海城市高高集聚,西部欠发达城市低低集聚"的格局。人均碳排放强度基本呈现为"东部>东北部>西部>中部",单位GDP碳排放强度则呈现为"东北部和西部较高"、"东部和中部较低"。GDP增长是决定CO2排放总量增长的主导因素,而能源结构、能源利用效率、产业结构是影响碳排放强度的主要原因。对于西部和东北部等以能源和重工业为主导产业的城市,其减排策略应着重能源结构优化和能源利用效率的提高。对于东部和中部等以技术、劳动密集型和轻工业为主导产业的城市,其减排策略应侧重于产业结构调整和转型升级。 |
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其他语种文摘
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It is critical for China to make the emission reduction targets and development of the scientific emission reduction planning in the future. On the basis of the DMSP/OLS night light imageries, this research estimates the China's city-level carbon emissions from 1992 to 2010. This makes up the vacancies of statistical carbon emission data and overcomes the inconsistence of statistical carbon emission methods. Analysis results from three scales (the whole mainland of China, 4 economic regions and 6 urban agglomerations) show that the national CO2 emissions grew continually, but varied from place to place. What is more, the spatial agglomeration of China's CO2 emissions has become more and more obvious, which have led to the current CO2 emission pattern—"high-high concentration in eastern coastal cities and low-low concentration in western undeveloped cities". The carbon emission intensity of per capita basically maintains as the "Eastern >Northeastern >Western >Central" pattern. The carbon emission intensity of per GDP shows the "Higher in Northeastern and Western China" and "Lower in Eastern and Central China" pattern. Growth rate of GDP is the major factor affecting the increasing speed of carbon emissions. Energy structures, energy efficiencies, industrial structures are the three main factors influencing the carbon intensities. As for the Western and Northeastern regions, whose industries are mainly energy-related and heavy ones, their best mitigation policies should be optimizing the energy structure and increasing energy use efficiently. |
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来源
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地理学报
,2013,68(11):1513-1526 【核心库】
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DOI
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10.11821/dlxb201311007
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关键词
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碳排放
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时空变化
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机理
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DMSP/OLS夜间灯光影像
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遥感
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地址
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1.
广州地理研究所, 广州, 510070
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中国科学院华南植物园, 广州, 510650
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中国科学院广州地球化学研究所, 广州, 510640
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语种
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中文 |
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文献类型
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研究性论文 |
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ISSN
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0375-5444 |
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学科
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环境污染及其防治 |
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基金
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国家“十二五”科技支撑计划项目
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国家自然科学基金项目
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广东省科技计划项目
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文献收藏号
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CSCD:4984008
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