大气与环境光学学报2024，Vol.19Issue(4)：440-455,16.DOI:10.3969/j.issn.1673-6141.2024.04.005
2000―2019年中国能源消费碳排放时空特征研究
Spatio-temporal characteristics of carbon emission from energy consumption in China during 2000-2019
摘要
Abstract
To accurately grasp the changes of the temporal and spatial pattern of carbon emissions and formulate regional differential emission reduction policies according to local conditions is a widely concerned in current society.Based on the night lighting data from 2000 to 2019 and the estimation of national energy carbon emissions,a fitting model is established to deduce the carbon emission data of prefecture-level cities,and then the spatial dependence of carbon emissions under the background of the rapid development of urbanization is studied from three aspects:carbon emission type,spatial aggregation and center of gravity transfer.The results show that the total carbon emission in China shows an upward trend from 2000 to 2019,with the growth rate and carbon emission intensity gradually slowing down as a whole.In the five inversion models for total night lighting data and provincial carbon emission data from 2000 to 2019,the quadratic model has the highest fitting degree,with R2 reaching 0.8261.Energy carbon emissions in China show an uneven distribution in space,with a basic pattern of high in the east and low in the west,and high in the north and low in the south.From 2000 to 2019,the regional differencesand spatial accumulation of carbon emissions is becoming more and more obvious,and the spatial distribution of carbon emission center has generally shifted from west to east.关键词
夜间灯光/碳排放/时空特征/重心转移Key words
nighttime light data/CO2 emissions/spatio-temporal characteristics/center of gravity transfer分类
管理科学引用本文复制引用
廖聪聪,郝泷,崔玉环,李鹏飞,许亚洲,盛亮亮..2000―2019年中国能源消费碳排放时空特征研究[J].大气与环境光学学报,2024,19(4):440-455,16.基金项目
国家自然科学基金项目(41801332),国家级大学生创新创业训练项目(202210364036),安徽省高校自然科学研究重点项目(KJ2021A0178) （41801332）
