Analysis on carbon emissions spatiotemporal variations and characteristic factors： a county-level carbon accounting case in Jiangxi Province

Utilizing data analogous to NPP/VIIRS in conjunction with MOD17A3HGF v061 Net Primary Productivity （NPP） data， this study calculated county-level carbon emissions and carbon sequestration in Jiangxi Province from 2007 to 2022. It further investigated the spatiotemporal variations in carbon emissions and identified the characteristic factors， while also analyzed the impact of geographical location， economic status， and industrial structure on the spatiotemporal patterns and characteristic elements of carbon emissions across districts， counties， and cities. The research findings were as follows： 1） A strong correlation （R2=0.8477） was found between nighttime light data and carbon emissions， enabling county-level estimation through inversion. Additionally， a high correlation （R2=0.9423） was observed between the simulated carbon emissions and statistical values. When compared with the China Emission Accounts and Datasets （CEADs）， the variation rate of carbon sequestration was within ±0.5%， meeting the accuracy requirements. 2） County-level carbon emissions in Jiangxi Province exhibited an overall increasing trend， radiating outward from prefectural-level cities with decreasing intensity. Carbon sequestration， on the other hand， showed a fluctuating growth trend. The annual growth rate of carbon emissions was 5.05%， while the annual growth rate of carbon sequestration was only 0.06%. However， the overall trend still indicated a significant net carbon sequestration area， with consistent and stable trends in net carbon emissions and carbon sequestration. 3） The findings demonstrate that rational planning of Jiangxi Province's integrated development and industrial layout， coupled with industrial upgrading and low-carbon transition， crucially accelerates the attainment of its dual carbon objectives.