基于灰色关联的交通碳排放与能耗空间分析  

Spatial Analysis on Traffic Carbon Emissions and Energy Consumption Based on Grey Relational Model

作　　者：袁长伟[1] 刘珂 芮晓丽[1] YUAN Changwei;LIU Ke;RUI Xiaoli(School of Economics and Management, Chang' an University, Xi an 710064, China)

机构地区：[1]长安大学经济与管理学院,陕西西安710064

出　　处：《环境科学与技术》2019年第3期158-164,共7页Environmental Science & Technology

基　　金：国家自然科学基金(51278057);霍英东青年教师基金(151075);中央高校基本科研业务费专项资金(310823151006;310823170105;310823160103;2013G6234065)

摘　　要：为明晰中国省域交通碳排放强度与综合能耗结构之间的关联关系,为差异化碳减排政策的设计提供依据,文章基于灰色关联理论,构建了交通碳排放强度与综合能耗结构之间的灰色关联模型,并对其结果进行空间差异化分析。结果表明:各省交通碳排放强度与综合能耗结构间的绝对关联度数值差异较小,相对关联度的跨度差异较大,综合关联度大的地区分布在云南、黑龙江以及东南沿海等地。对于关联程度较高的省份,可通过调整能耗量、优化能耗结构等途径控制碳排放。To identify the correlates between transport carbon emissions with comprehensive energy consumption structure of Chinese provinces and provide the basis for the differential design of low-cost carbon-abatement policies, the gray correlation model has been built. The result shows that the absolute correlation degrees of transport carbon emissions and comprehensive energy consumption structure of Chinese provinces have few differences, but relative correlation degree does. Provinces of Yunnan, Heilongjiang and south-east littoral have higher synthetic correlation degree. For the region of high correlation degrees, controlling energy consumption and optimizing energy structure are the useful method to curb carbon emissions.

关 键 词：交通运输 碳排放 灰色关联理论 关联度 

分 类 号：X73[环境科学与工程—环境工程]