| 基于多源遥感数据的中国县域土地利用碳排放时空演变与影响因素分析 |
| 摘要点击 864 全文点击 39 投稿时间：2025-07-07 修订日期：2025-09-15 |
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| 中文关键词 多源遥感数据 土地利用碳排放 时空演变 影响因素 县域 |
| 英文关键词 multi-source remote sensing data land use carbon emission spatiotemporal evolution influencing factor county level |
| DOI 10.13227/j.hjkx.202507092 |
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| 中文摘要 |
| 准确估算县域尺度土地利用碳排放，是合理制定碳减排措施的重要前提. 受能源统计数据获取的限制，以往县域尺度土地利用碳排放研究主要采用夜间灯光数据估算能源消耗碳排放，集成多源遥感数据估算土地利用碳排放有待进一步探索. 因此，基于能源统计数据、夜间灯光数据和XCO2数据等多源遥感数据，采用能源消耗碳排放模型、标准差椭圆分析和探索性时空数据分析等方法，刻画了2010~2020年中国县域土地利用碳排放时空特征，进而采用地理探测器模型探讨了中国县域土地利用碳排放影响因素. 结果表明：①2010~2020年，中国县域土地利用碳排放量有所降低，区域差异明显，东部最高，其次是中部和东北部，西部地区碳排放量较低. ②中国县域土地利用碳排放呈现沿“东北-西南”方向分散，沿“西北-东南”方向聚集的趋势，方向性明显，重心向东北方向迁移. 其空间分布显著正相关，有明显的空间异质性和集聚性，空间相关性较稳定. ③中国县域土地利用碳排放主要受城镇化和经济发展的影响，二者交互作用强度高于单影响因素. 研究结果可为县域土地利用碳排放估算与减排措施制定提供参考. |
| 英文摘要 |
| Accurately estimating the carbon emissions from land use at the county scale is an important prerequisite for rationally formulating carbon reduction measures. Limited by the acquisition of energy statistics， previous studies on land use carbon emissions at the county scale mainly estimated energy consumption carbon emissions using night light data. The integration of multi-source remote sensing data to estimate land use carbon emissions remains to be further explored. Therefore， based on multi-source remote sensing data such as energy statistics， nighttime light data， and XCO2 data， this study adopted methods such as the energy consumption carbon emission model， standard deviation ellipse analysis， and exploratory spatiotemporal data analysis to depict the spatiotemporal characteristics of carbon emissions from county land use in China from 2010 to 2020. Furthermore， the geographic detector model was adopted to explore the influencing factors of carbon emissions from land use in counties of China. The results show that： ① From 2010 to 2020， the carbon emissions from land use in China's counties decreased， with significant regional differences. The carbon emissions in the eastern region were the highest， followed by the central and northeastern regions， and the carbon emissions in the western region were relatively low. ② The carbon emissions from land use in China's counties showed a trend of dispersion along the “northeast-southwest” direction and aggregation along the “northwest-southeast” direction， with obvious directionality and the center of gravity shifting towards the northeast. Its spatial distribution was significantly positively correlated， with obvious spatial heterogeneity and agglomeration， and the spatial correlation was relatively stable. ③ The carbon emissions from land use in counties of China were mainly affected by urbanization and economic development， and the intensity of the interaction between the two was higher than that of a single influencing factor. The results of this study can provide a reference for the formulation of carbon emission reduction targets in China. |
