榆林市工业二氧化碳与大气污染物排放控制协同效应研究
Study on the synergistic effect of industrial carbon dioxide and atmospheric pollutant emission control in Yulin City
石涵笑 1韦安磊 1朱娅绮 1徐晓珍 1胡浩 1马俊杰1
作者信息
- 1. 西北大学城市与环境学院,陕西西安 710127;陕西省地表系统与环境承载力重点实验室,陕西西安 710127
- 折叠
摘要
在"双碳"背景下,了解工业二氧化碳与大气污染物排放之间的协同效应对于实现减污降碳具有重要意义.该研究以榆林市2015-2021年二氧化碳与大气污染物排放量为例.首先,利用灰色相关分析对榆林市工业碳排放影响因素的相关度进行计算.其次,对Kaya恒等式和LMDI模型进行拓展,分析影响二氧化碳及主要大气污染物排放的驱动效应.最后,对榆林市重点行业火力发电行业和镁冶炼行业进行协同性分析并对榆林市减污降碳提出建议.结果表明,协同减排效应是驱动大气污染物排放减少的第一大驱动效应.二氧化碳的排放与氮氧化物的排放相关性最强,且LMDI模型分析表明氮氧化物与二氧化碳协同减排具有显著的协同效应.研究结果可为榆林市减污降碳协同增效以及高质量发展提供科学依据,为政府在制定一系列更为有效且切实可行的环境保护政策提供理论基础.
Abstract
Under the background of"double carbon"policy,it is of great significance to understand the syn-ergistic effect of industrial carbon dioxide and air pollutant emission to realize pollution reduction and carbon reduction.This study takes the carbon dioxide and air pollutant emissions in Yulin City from 2015 to 2021 as an example.Firstly,the correlation degree of the influencing factors of industrial carbon emissions in Yulin City is calculated by using gray correlation analysis.Secondly,the Kaya constant equation and LMDI model are expanded to analyze the driving effects affecting carbon dioxide and major air pollutant emissions.Finally,a synergistic analysis of the thermal power generation industry and the magnesium smelting industry,which are the key industries in Yulin City,was conducted,and recommendations were made for the reduction of pollu-tion and carbon emissions.The results show that the synergistic emission reduction effect is the first major driving effect driving the reduction of air pollutant emissions.Carbon dioxide emissions have the strongest corre-lation with nitrogen oxide emissions,and the LMDI model analysis shows that nitrogen oxide and carbon dioxide have significant synergistic effect.The results of this study can provide a scientific basis for the synergistic effect and high-quality prevention of pollution and carbon reduction in Yulin City and provide theoretical support for the government to formulate more practical and feasible strategies for pollution and carbon reduction.
关键词
减污降碳/灰色相关分析/对数平均权重迪氏指数法/碳排放/协同发展Key words
pollution and carbon reduction/gray correlation analysis/LMDI/carbon emissions/synergistic development引用本文复制引用
基金项目
国家自然科学基金(51208424)
陕西省环境介质痕量污染物监测预警重点实验室开放基金(SHJKFJJ202307)
出版年
2024
NETL
NSTL
万方数据