基于夜间灯光数据的关中平原城市群碳排放时空演变多尺度分析

Multi Scale Analysis of Temporal and Spatial Evolution of Carbon Emissions in Guanzhong Plain Urban Agglomeration Based on Night Light Data

选取关中平原城市群为研究对象,线性反演2001—2020年关中平原城市群市域的碳排放量,并探究不同尺度上碳排放时空分布的动态规律,结果表明:碳排放增速较快的地区主要集中在陕西省中、南部;2001—2020年市域碳排放均表现为显著的空间正相关;2001—2020年市域碳排放的显著性空间关联类型基本一致,表现为高碳排放区集中在山西省和陕西省,低碳排放区集中在甘肃省。本研究能为关中平原城市群区域化、差异化碳减排政策的制定与实施提供一定的支撑。

Taking the Guanzhong Plain Urban Agglomeration as the research object,the carbon emissions of the Guanzhong Plain urban agglomeration from 2001 to 2020 were inversed linearly,and the dynamic laws of the temporal and spatial distribution of carbon emissions at different scales were explored.The results showed that the regions with rapid growth of carbon emissions were mainly concentrated in the middle and south of Shaanxi Province;from 2001 to 2020,the regional carbon emissions showed a significant positive spatial correlation;the significant spatial correlation types of urban carbon emissions from 2001 to 2020 are basically the same,showing that the high carbon emission areas were concentrated in Shanxi and Shaanxi provinces,and the low carbon emission areas were concentrated in Gansu Province.This study can provide certain support for the formulation and implementation of regionalization and differentiated carbon emission reduction policies in Guanzhong Plain urban agglomeration.