基于NPP/VIIRS夜间灯光数据的华北地区碳排放时空分布模拟研究

Simulation of Spatiotemporal Distribution of Carbon Emissions in North China Based on NPP/VIIRS Nighttime Light Data

获取准确的碳排放空间分布信息,能够为推进碳达峰碳中和工作提供重要数据支撑。研究基于NPP/VIIRS夜间灯光及统计年鉴数据,对华北地区2013年和2018年碳排放时空分布开展监测。在城市尺度构建了碳排放量和夜间灯光亮度及GDP等辅助信息的拟合模型,估算了2013年和2018年华北地区碳排放量,并分析了碳排放空间分布及影响因素。结果表明:2018年华北地区碳排放量明显高于2013年,华北地区碳排放量由东部向西部和北部减少。北京和天津碳排放量高于其它城市,而内蒙古自治区大部分城市碳排放量较低。

Accurate spatial distribution information of carbon emissions can provide important data support for promoting carbon neutrality work of carbon peaking.This study is based on NPP/VIIRS nighttime lighting data and statistical yearbook data to monitor the spatiotemporal distribution of carbon emissions in North China in 2013 and 2018.A fitting model was constructed at the urban scale to estimate the spatial distribution of carbon emissions,NPP/VIIRS nighttime lighting brightness,GDP,and other auxiliary information in North China in 2013 and 2018.The spatial distribution and influencing factors of carbon emissions were analyzed.The results show that the carbon emissions in North China in 2018 were significantly higher than in 2013,and the carbon emissions in North China decreased from the east to the west and north.Beijing and Tianjin have higher carbon emissions than other cities,and the high-value areas are expanding to the surrounding areas with Tianjin and Beijing as the core.Most cities in Inner Mongolia Autonomous Region have lower carbon emissions,and the changes from 2013 to 2018 were relatively small.