区县层级温室气体清单核算方法及排放特征分析——以北京市怀柔区为例  

Calculation method and emission characteristics analysis of greenhouse gas inventory at district and county level——A case study of Huairou district,Beijing

作　　者：靳晓婷 赵明阳 杨洁 余志晟 JIN Xiaoting;ZHAO Mingyang;YANG Jie;YU Zhisheng(School of Chemistry and Chemical Engineering,Beijing Institute of Technology,Beijing 102401,China;Eco�Environmental Bureau of Huairou District,Beijing 101400,China;College of Resources and Environment,University of Chinese Academy of Sciences,Beijing 100049,China;Binzhou Weiqiao National Science Advanced Technology Institute,Binzhou 256606,China;RCEES-IMCAS-UCAS Joint-Lab of Microbial Technology for Environmental Science,Beijing 100085,China)

机构地区：[1]北京理工大学化学与化工学院,北京102401 [2]北京市怀柔区生态环境局,北京101400 [3]中国科学院大学资源与环境学院,北京100049 [4]滨州魏桥国科高等技术研究院,滨州256606 [5]RCEES-IMCAS-UCAS环境微生物技术联合实验室,北京100085

出　　处：《环境保护科学》2024年第6期44-51,共8页Environmental Protection Science

基　　金：山东滨州魏桥国科高等技术研究院资助项目(GYY-DTFZ-2022-025)。

摘　　要：在应对全球气候变化和对温室气体日益关注的背景下,温室气体排放核算(也称碳核算)已成为量化这类气体排放量的重要工具。文章以北京市怀柔区为研究对象,深入分析和探讨了温室气体排放清单的特征。同时,采用LMDI分解法探讨了能源领域碳排放变化的主要驱动因素,并对清单结果进行了不确定性分析。结果表明:在北京是怀柔区,能源活动和电力排放是排放构成的主要部分;2015—2019年,总排放年均下降6.38%,碳吸收量年均增长10.22%,人均碳排放、单位土地面积排放、单位GDP排放均呈下降趋势;能源活动碳排放主要驱动因素为单位GDP能源强度和人均GDP。该研究结果为该区制定有效的气候变化应对策略和政策提供了科学依据。In the context of global climate change issues and the increasing focus on greenhouse gases,greenhouse gas emission accounting,also known as carbon accounting,has emerged as a vital tool for quantifying emissions of such gases.Taking Huairou District of Beijing as the research object,the characteristics of greenhouse gas emission inventory were deeply analyzed.Simultaneously,the main driving factors of carbon emission change in energy sector were discussed by using LMDI decomposition method,and the uncertainty analysis of inventory results was carried out.The results showed that in Huairou District of Beijing,energy activities and electric power emissions were the main components of emissions.From 2015 to 2019,total emissions experienced an annual average decrease of 6.38%,while carbon absorption demonstrated an annual average increase of 10.22%.Per capita carbon emissions,emissions per unit of land area,and emissions per unit of GDP all exhibited a declining trend.The primary causal factors behind carbon emissions from energy activities were identified as per unit GDP energy intensity and per capita GDP.The results of this study provided a scientific basis for the formulation of effective climate change strategies and policies in the region.

关 键 词：气候变化 区县层级 温室气体清单 LMDI分解法 驱动因素 

分 类 号：X515[环境科学与工程—环境工程]