摘要
首先,本文利用灰色关联分析探究内蒙古工业领域碳排放及大气污染物排放的关联度;其次,运用Kaya恒等式和拓展的LMDI分解研究CO_(2)及其主要大气污染物排放的驱动效应。结果表明:NO_(X)排放的相关系数为0.6967,表明在2017—2022年大气污染物中NO_(X)排放的变化对CO_(2)排放的影响最为显著;再次,能源消费总量的相关系数为0.8975,说明能源消费对CO_(2)排放也有较强的驱动,其余影响因素的关联度依次是原煤产量、工业生产总值、SO_(2)排放量、颗粒物排放量。各个因素之间的关联度都大于0.6,具有显著的相关性。
This study first employs grey relational analysis to explore the correlation between carbon emissions and air pollutant emissions in the industrial sector of Inner Mongolia.Subsequently,the Kaya identity and an extended LMDI decomposition model are applied to investigate the driving effects of carbon dioxide and major air pollutant emissions.The results indicate that the correlation coefficient of nitrogen oxide emissions is 0.6967,suggesting that changes in nitrogen oxide emissions from 2017 to 2022 had the most significant impact on carbon dioxide emissions among air pollutants.Additionally,the correlation coefficient of total energy consumption is 0.8975,indicating a strong driving effect of energy consumption on carbon dioxide emissions.The remaining influencing factors,ranked by their correlation degrees,include raw coal production,industrial output value,sulfur dioxide emissions,and particulate matter emissions.The correlation coefficients between various factors are all greater than 0.6,indicating statistically significant correlations.
作者
陈强
郭玉明
李海兵
Chen Qiang;Guo Yuming;Li Haibing(Inner Mongolia Autonomous Region Institute of Ecology and Environmental Sciences,Hohhot Inner Mongolia 010011,China;Comprehensive Support Center,Department of Ecology and Environment of Inner Mongolia Autonomous Region(Inner Mongolia Autonomous Region Environmental Online Moni-toring Center),Hohhot Inner Mongolia 010011,China)
出处
《环境与发展》
2025年第2期104-108,共5页
Environment & Development
关键词
Kaya恒等式和拓展的LMDI分解模型
减污降碳协同机制
Kaya identity and extended LMDI decomposition model
Synergistic mechanism of pollution reduc-tion and carbon reduction
