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广东省交通碳排放核算及影响因素分析
Estimation of CO_2 Emissions from the Transport Sector in Guangdong Province, China and Analysis of Factors Affecting Emissions

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庄颖 1   夏斌 2  
文摘 交通领域是二氧化碳排放的重要领域,为研究广东省的交通碳排放及影响因素,利用IPCC(联合国政府间气候变化专门委员会)在温室气体清单指南中提供的方法估算了广东交通碳排放量,并应用LMDI分解法(对数平均指数法)对广东交通碳排放进行因素分解分析. 结果表明: ①2001—2010年广东交通碳排放量从1 950.98 × 10~4 t增至6 068.41 × 10~4 t,其中交通运输业碳排放是广东交通碳排放的主体,私人交通碳排放已成为广东交通碳排放不可忽视的组成部分. ②交通运输业中的公路碳排放量占比最大,占56% ~ 64%; 铁路的碳排放量占比最小,占0.6% ~ 1.6%; 水运具有较大的节能优势; 民航单位周转量碳排放量最高. ③交通运输业发展水平、运输结构、私人汽车数量规模对广东交通碳排放增加的贡献率分别为68.79%、36.14%、18.66%,是拉动广东交通碳排放增长的主要因素; 运输强度与能源强度的贡献率分别为- 18.1%、- 6.46%,是抑制交通碳排放增长的因素. 广东可以通过采取优化交通运输结构、使用替代清洁能源等措施减少交通碳排放.
其他语种文摘 The transport sector is a major contributor of CO_2 emissions. The emissions from the transport sector in Guangdong province were estimated in accordance with the IPCC Guidelines for National Greenhouse Gas Inventories. The logarithmic mean Divisia index was used to measure the influence of commercial transport sector development,transport modal shift,private vehicle number,energy consumption per private vehicle,carbon emission coefficient,transport intensity and energy intensity on the CO_2 emissions of the Guangdong transport sector. The results showed that: (1) CO_2 emissions of the transport sector in Guangdong province increased from 19.51 million tons in 2001 to 60.68 million tons in 2010. The commercial transport sector was the major contributor of emissions,and private vehicle CO_2 emissions were indispensable. (2) CO_2 emissions from highways presented the largest share at 56%-64%,whereas the smallest share was from railways,which accounted for only 0.6%-1.6% of commercial transport sector CO_2 emissions. Aviation presented the highest CO_2 emissions per unit turnover, while waterways showed the lowest. (3) Commercial transport sector development,transport modal shift and private vehicle number positively affected the growth of emissions, with contributions of 68.79%,36.13% and 18.66% respectively. By contrast,transport and energy intensities contributed negatively,with - 18.1% and - 6.46%,respectively. Therefore,the development of commercial transport industry,deterioration of transport modes and growing demand for private vehicles were responsible for the increasing CO_2 emissions of the transport sector,whereas transport and energy efficiencies limited the increase in emissions. Transport sector CO_2 emissions can be reduced through transport mode improvement and clean energy utilization.
来源 环境科学研究 ,2017,30(7):1154-1162 【核心库】
DOI 10.13198/j.issn.1001-6929.2017.02.43
关键词 交通碳排放 ; 影响因素 ; LMDI模型 ; 广东
地址

1. 中国科学院广州地球化学研究所, 广东, 广州, 510640  

2. 中国科学院广州地球化学研究所, 广东省海洋资源与近岸工程重点实验室;;海洋石油勘探与开发广东高校重点实验室, 广东, 广州, 510640

语种 中文
文献类型 研究性论文
ISSN 1001-6929
学科 环境保护管理
基金 国家自然科学基金项目
文献收藏号 CSCD:6033682

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引证文献 20

1 马金玲 基于主成分分析法的城市客运交通碳排放影响因素研究 环境污染与防治,2018,40(10):1188-1192,1202
CSCD被引 2

2 李健 产业转移视角下京津冀石化产业碳排放因素分解与减排潜力分析 环境科学研究,2020,33(2):324-332
CSCD被引 10

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