摘要
在国家推进长三角一体化高质量发展的背景下,对该地区CO_(2)排放的时空特征及其影响因素进行系统研究,对于制定碳减排行动方案具有重要参考价值。基于多尺度排放清单模型(MEIC)数据,分别从工业、电力、交通运输、民用四个部门分析2005-2020年长三角地区CO_(2)排放的时空分布,采用灰色关联度与LMDI相结合的方法,分析研究区CO_(2)排放的影响因素。结果表明:长三角地区CO_(2)排放量呈上升趋势,CO_(2)排放的平均值由3151 g/(m^(2)∙a)增至5374 g/(m^(2)∙a),增加了70%;但CO_(2)排放的最大值却呈下降趋势,由84726 g/(m^(2)∙a)减至75169 g/(m^(2)∙a),下降了11%,其中工业部门CO_(2)排放量最高。CO_(2)排放的空间分布差异明显,总体呈现出“西低东高”的空间特征。经济发展是长三角地区CO_(2)排放增长的主导因素,其平均贡献值为14108.8×10^(4)t,能源强度是抑制CO_(2)排放增长的关键因素,其平均贡献值为-9586.4×10^(4)t。研究显示,长三角地区减排重点在于能源结构优化和能源效率提升,同时发挥上海、苏州、杭州等地区在长三角地区发展中的带动作用,构建跨区域的协同减排机制,推动长三角产业链的绿色转型与低碳化发展。
In the context of promoting high-quality integrated development of the Yangtze River Delta,systematic research on the temporal and spatial characteristics and influencing factors of CO_(2)emissions in the region is of great value for formulating carbon emission reduction action plans.Based on the modeling data of Multi-Resolution Emission Inventory for China(MEIC),we analyzed the spatiotemporal distribution of CO_(2)emissions in four sectors of industry,power generation,transportation,and residential affairs in the Yangtze River Delta Region from 2005 to 2020.In addition,we used a combination of grey correlation and Logarithmic Mean Divisia Index(LMDI)to explore the influencing factors of regional CO_(2)emissions.The results show that CO_(2)emissions in the Yangtze River Delta Region exhibited an increasing trend.The average CO_(2)emissions per unit area increased from 3,151 g/(m^(2)∙a)to 5,374 g/(m^(2)∙a)representing a 70%increase.However,the maximum value of CO_(2)emissions per unit area showed a decreasing trend,from 84,726 g/(m^(2)∙a)to 75,169 g/(m^(2)∙a),reflecting an 11%decrease.It is worth noting that the industrial sector had the highest CO_(2)emissions.The spatial distribution of CO_(2)emissions exhibits notable variations,showing a pattern of‘low in the west and high in the east’.Economic development has become the predominant factor affecting the increase in CO_(2)emissions in the Yangtze River Delta Region,with an average contribution of 14,108.8 t.On the contrary,energy intensity plays a crucial role in slowing down the growth of CO_(2)emission,with an average contribution of approximately-9,586.4 t.The research has shown that the importance of emission reduction strategies lies in optimizing energy structure and improving energy efficiency.Notably,Shanghai,Suzhou,Hangzhou,and other regions play a leading role in the development of the Yangtze River Delta Region.Establishing a cross-regional collaborative emission reduction mechanism is crucial for promoting the green transformation of the Yangtze River Delta industrial chain and promoting low-carbon development.
作者
赵强
李迎迎
刘嵩
易明建
方潜生
ZHAO Qiang;LI Yingying;LIU Song;YI Mingjian;FANG Qiansheng(School of Environment and Energy Engineering,Anhui Jianzhu University,Hefei 230601,China;Anhui Province Key Laboratory of Intelligent Building and Building Energy-Saving,Anhui Jianzhu University,Hefei 230601,China;China State Construction Engineering Corporation,Hefei 230000,China;Anhui Institute of Carbon Emission Peak and Carbon Neutrality in Urban-Rural Development,Hefei 230601,China)
出处
《环境科学研究》
CAS
CSCD
北大核心
2024年第8期1666-1679,共14页
Research of Environmental Sciences
基金
国家重点研发计划项目(No.2023YFC3807704)
安徽省高校优秀科研创新团队(No.2022AH010018)
环境污染控制与废弃物资源化利用安徽省重点实验室开放课题(No.2022EPC07)。
作者简介
赵强(1981-),男,安徽合肥人,博士,教授,主要从事环境遥感与城市空间信息技术研究,rommel99@163.com。
