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中国农村生物能源利用的CO2排放量估算与空间分析
引用本文:杨静,张培栋.中国农村生物能源利用的CO2排放量估算与空间分析[J].可再生能源,2012(10):67-72.
作者姓名:杨静  张培栋
作者单位:中国科学院青岛生物能源与过程研究所;中国科学院研究生院;青岛科技大学环境与安全工程学院
基金项目:国家自然科学基金项目(0906131109)
摘    要:中国作为世界能源消费大国,同时也是农业大国,其生物质能源利用在农村能源消费构成中占据很大比重。文章采用排放因子法对2010年中国各省(市\区)农村生物质能源利用的CO2排放量进行了估算,利用ArcGIS对估算结果进行空间分析,运用空间统计方法,在Geoda平台上分析各地区碳排放量的空间自相关性。结果表明:秸秆和薪柴的利用对农村生物能源利用的CO2排放量有重要贡献,沼气所占比例较小。在空间分布特征上,生物质能源利用的CO2排放量呈现出中西高、东南偏低的分布特征。

关 键 词:生物能源  CO2  空间分析  空间自相关性

Estimation and spatial analysis of CO2 emissions from rural bioenergy use
YANG Jing,ZHANG Pei-dong.Estimation and spatial analysis of CO2 emissions from rural bioenergy use[J].Renewable Energy,2012(10):67-72.
Authors:YANG Jing  ZHANG Pei-dong
Affiliation:1,3(1.Qingdao Institute of Bioenergy and Bioprocess Technology,Chinese Academy of Science,Qingdao 266100,China;2.Gradute University of Chinese Academy of Science,Beijing 100049,China;3.Qingdao University of Science and Technology,College of Environment and Safety Engineering,Qingdao 266100,China)
Abstract:As one of the biggest energy consumers of the world,China is also a large agricultural country,whose bioenergy occupies a larger proportion in rural energy system.Emission factor method is applied in this study to estimate CO2 emission by rural bioenergy utilization of each province(municipality/autonomous region) in 2010.Tool of Arc GIS is used to make spatial analysis of the estimation results.By the method of spatial statistics,researches on the spatial autocorrelations of regional carbon emission are conducted with application of Geoda software.It is concluded that CO2 emissions by bioenergy utilization are mainly contributed by straw and firewood,with a smaller proportion in biogas aspects.The total emissions show the distribution characteristic is high in the central and southwest area,and low in the southern and southeastern areas.
Keywords:bioenergy  CO2  spatial distribution  autocorrelation analysis
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