• 关键词：NPP-VIIRS  碳排放  中部地区  碳达峰  碳中和  时空演变

• 基金项目：国家自然科学基金项目（No.41005016）； 安徽省自然科学基金项目 （No.1508085SQD208）；安徽省高校优秀青年人才支持计划重点项目（No.gxyqZD2020036）； 安徽省住房城乡建设科学技术计划项目（No.2022-RK034）

• 赵强
• 安徽建筑大学环境与能源工程学院，合肥 230601;安徽省建设领域碳达峰碳中和战略研究院，合肥 230601;安徽省智慧城市工程技术研究中心，合肥 230601

• 周月凌
• 安徽建筑大学环境与能源工程学院，合肥 230601

• 方潜生
• 安徽建筑大学环境与能源工程学院，合肥 230601;安徽省建设领域碳达峰碳中和战略研究院，合肥 230601

• 易明建
• 安徽建筑大学环境与能源工程学院，合肥 230601;安徽省智慧城市工程技术研究中心，合肥 230601

• 摘要：为实现碳达峰、碳中和目标，研究我国中部地区的碳排放时空演变及其影响因素有着重要的意义.使用2012—2019年NPP-VIIRS夜光遥感数据计算中部地区的碳排放量，结合地理探测器对碳排放时空变化及其影响因子进行分析.分析结果显示：①山西省碳排放量居中部地区首位，河南省次之，安徽省碳排放量位居第三，后为湖北省和湖南省，江西省碳排放最低；②2012—2019年在中部地区碳排放量聚集程度逐年减弱，高高聚集面积从210742.9 km²减少到153999.3 km²，低低聚集面积由148249.2 km²减少到103804.0 km²；③通过地理探测器分析的结果得到：对中部地区各省份碳排放影响因子解释力较大的为经济要素：地区生产总值和第二生产总值；中部地区各省份碳排放因子解释力较高的双因子交互多为经济要素.研究显示，中部地区各个省份碳排放分布及影响因素存在一定的差异，在制定碳达峰、碳中和行动方案时应考虑到不同地区碳排放的差异，本研究为中部地区制定节能减排政策提供数据支撑.

• Abstract：In order to achieve the goal of carbon emission peak and carbon neutrality， it is of great importance to study the spatial-temporal evolution of carbon emissions and its influencing factors in central China. The carbon emissions in central China were calculated using NPP-VIIRS noctilucent remote sensing data from 2012 to 2019. The spatial-temporal changes of carbon emissions and their influencing factors were analyzed combined with geographical detectors. The analysis results show that： ① The carbon emissions of Shanxi Province ranked first in the central region， followed by Henan Province， Anhui Province， Hubei Province and Hunan Province， and Jiangxi Province had the lowest carbon emissions. ② From 2012 to 2019， the degree of carbon emissions aggregation in the central region decreased yearly. The high-high aggregation area decreased from 210742.9 km² to 153999.3 km²， and low-low aggregation area decreased from 148249.2 km² to 103804.0 km²； ③ The geographical detector analysis results showed that， the economic factors that explain the influencing factors of carbon emission in central China are the regional GDP and the second industry product. Most of the two-factor interactions with the higher explanatory power of carbon emission factors in central China are economic factors. The research shows that there are certain differences in the distribution and influencing factors of carbon emissions between different provinces in the central region， which should be considered in the formulating policies and measures of carbon emission peak and carbon neutrality. This study provides data support for formulating energy conservation and emission reduction policies in the central region.

• Key words：NPP-VIIRS  carbon emissions  China central region  carbon peak  carbon neutrality  temporal and spatial evolution

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