基于GWR模型的温室气体和大气污染排放空间差异性研究  

Spatial Differences of Greenhouse Gas and Air Pollution Emissions Based on GWR Model

作　　者：张国会 杜莹[1] 刘轩铭 易攀 Zhang Guohui;Du Ying;Liu Xuanming;Yi Pan(Shenyang Institute of Technology,Fushun 113122,China)

机构地区：[1]沈阳工学院,辽宁抚顺113122

出　　处：《黑龙江科学》2022年第20期30-32,共3页Heilongjiang Science

基　　金：国家级大学生创新训练项目“基于GWR模型的温室气体和大气污染排放空间差异性研究”(202113201005S)。

摘　　要：通过地理加权回归模型(GWR)对部分省份CO_(2)的排放、空气污染物排放进行研究,探讨人口规模、汽车保有量、产业结构、GDP水平对其产生的影响,揭示各因素在不同地区的空间分布差异性。结果表明,GDP水平对空间碳排放具有聚集效应,能源强度的改善对碳排放和空气质量改善都有正向增益。空气污染物各因素中,颗粒物和氮氧化物的排放具有较强的正相关,可根据经济带制定减排政策,调整产业结构,制定行业调整方向,同时加速新能源研发和应用,实现减排和空气质量改善。This paper studies the CO_(2) emission and air pollutant emission of some provinces in China by using geographical weighted regression model(GWR);explores the influencing of population scale,car ownership,industrial structure and GDP level;and reveals the difference of spatial distribution of each factor in different areas.The results show that the GDP level has an aggregate effect on spatial carbon emissions,and the improvement of energy intensity has positive effect on carbon emissions and air quality.There is strong positive correlation between particulate matter and nitrogen oxide emissions.Therefore,it is suggested to formulate emission reduction policies according to the economic belt,adjust the industrial structure,formulate the direction of industry adjustment,accelerate the development and application of new energy,realize emission reduction,and improve air quality.

关 键 词：碳排放 大气污染 GWR 空间差异 

分 类 号：X51[环境科学与工程—环境工程]