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基于植被碳吸收功能的宁夏能源消费碳足迹研究
引用本文:李媛,齐拓野,谢应忠. 基于植被碳吸收功能的宁夏能源消费碳足迹研究[J]. 宁夏大学学报(自然科学版), 2011, 0(3): 266-270
作者姓名:李媛  齐拓野  谢应忠
作者单位:宁夏大学农学院;宁夏大学资源环境学院
基金项目:国家自然科学基金资助项目(30860200);国家“973”计划前期研究资助项目(2010CB434805)
摘    要:在对宁夏2000-2009年能源消费CO2排放量及植被碳吸收量计算的基础上,得到各年份碳足迹状况.运用LMDI分解法对影响碳足迹的5种因素进行了分析.结果显示,宁夏碳足迹呈现逐年上升趋势,并经历了先缓慢增加,再快速增长,后增速放缓3个阶段,10 a间,碳足迹增加了174.16%.就累积效应而言,在各影响因素中,经济规模...

关 键 词:宁夏  能源消费  碳足迹  对数平均迪氏指数法

A Study on Energy-related Carbon Footprint of Ningxia Based on the Carbon Sequestration Function of Vegetation
Li Yuan,Qi Tuoye,Xie Yingzhong. A Study on Energy-related Carbon Footprint of Ningxia Based on the Carbon Sequestration Function of Vegetation[J]. Journal of Ningxia University(Natural Science Edition), 2011, 0(3): 266-270
Authors:Li Yuan  Qi Tuoye  Xie Yingzhong
Affiliation:1 (1.School of Agriculture,Ningxia University,Yinchuan 750021,China; 2.School of Resources and Environment,Ningxia University,Yinchuan 750021,China)
Abstract:Carbon footprint(CFP) of Ningxia from 2000 to 2009 is estimated by working out the amount of CO2 emission from energy consumption and the amount of CO2 adsorption from vegetation.Then,logarithmic mean Divisia index(LMDI) method is selected to analyze the influences of five factors on carbon footprint.Result shows: 1)The CFP of Ningxia is rising year by year.It can be divided into three stages——rise slowly,rapidly and in a middle speed.During the 10 years,the CFP has increased by 174.16 percent.2)Among all factors,the scale of economy and amount of population help to increase CFP.On the contrary,energy structure and carbon sequestration function of vegetation lead to decrease CFP,but their effects are limited.The influence of energy intensity is complex.Firstly,it plays a suppressive role,then,it becomes a promoter.The law of short-term fluctuation of CFP is similar with energy intensity.In the future,some measures should be taken to reduce ecological pressure resulted by energy consumption,such as adjusting energy and industrial structure,accelerating technology progress and so on.
Keywords:Ningxia  energy consumption  carbon footprint  logarithmic mean Divisia index
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