摘要
对2006—2020年上海闵行区工业能源碳排放量进行估算,采用可拓展的随机性的环境影响评估模型(STIRPAT)分析了工业能源碳排放的影响因素。结果表明:2006—2020年闵行区工业能源碳排放总量、碳排放强度与工业能源消耗量均呈逐步下降的趋势;煤炭所占工业能源消费比重、人均工业产值、工业化率和工业能源强度与闵行区工业能源碳排放呈正相关关系,其中煤炭所占工业能源消费比重对闵行区工业碳排放影响最大,工业增加值、电力所占工业能源消费比重对闵行区工业能源碳排放影响不显著。基于因素分析结果,提出闵行区可通过调整工业能源消费结构、优化产业结构、提高工业能源利用效率等措施降低工业碳排放。
The paper estimated the carbon emissions of industrial energy in Shanghai Minhang District from^(2)006 to 2020.It analyzed the influencing factors of industrial energy carbon emissions by using STIRPAT model.The results show thatthe total carbon emission,carbon emission intensity and industrial energy consumption of Minhang District show a gradual downward trend from^(2)006 to 2020.The proportion of coal in industrial energy consumption,per capita industrial output value,industrialization rate and industrial energy intensity contribute to the increase of industrial energy carbon emissions in Minhang District.And the proportion of coal in industrial energy consumption has the greatest impact on industrial carbon emissions in Minhang District,while the industrial added value and the proportion of electricity in industrial energy consumption have little impact on industrial energy carbon emissions in Minhang District.According to the research conclusions,the suggestions on adjusting industrial energy consumption structure,optimizing industrial structure and improving industrial energy utilization efficiency are proposed to reduce the carbon emissions.
作者
黎彬
黄俊梅
LI Bin;HUANG Junmei(Minhang District Environmental Monitoring Station,Shanghai 201199,China)
出处
《环境监控与预警》
2023年第5期106-111,共6页
Environmental Monitoring and Forewarning
基金
上海市生态环境局青年科研项目(沪环青科〔2022〕第9号)。
关键词
STIRPAT模型
工业能源
碳排放
影响因素
闵行区
STIRPAT model
Industrial energy
Carbon emissions
Impacting factors
Minhang district
