融合多源遥感数据的长株潭城市群碳排放时空差异分析

Spatio-temporal difference analysis of carbon emissions in Chang-Zhu-Tan urban agglomeration based on multi-source remote sensing data

碳排放时空分布监测与评估是城市可持续发展的重点研究课题之一。面向长株潭城市群碳排放的时空分布和差异分析,本文基于NPP-VIIRS夜间灯光影像和不透水面数据,结合县级碳排放数据,构建长株潭城市群碳排放估算模型,并定量分析了长株潭城市群碳排放时空分布特征及变化趋势。结果表明:(1)不透水面、夜间灯光均值和总值数据能够反映长株潭城市群区域碳排放水平;(2)2013—2017年长株潭城市群碳排放具有聚集性,主要分布在长株潭城市群北部的中间区域,碳排放区域逐年扩大但强度减弱;(3)2013—2017年长株潭城市群碳排放变化趋势为中心区域呈现负增长,城市扩张的边缘区域承接了部分碳排放量。本文融合多源遥感数据对2013—2017年长株潭城市群县级碳排放进行估算与监测分析,揭示了长株潭城市群碳排放时空分布变化规律,可为该区域碳减排和区域可持续发展提供科学参考。

The spatio-temporal distribution monitoring and evaluation of carbon emissions is one of the key research topics for sustainable urban development.For the analysis of the differences in the spatio-temporal distribution of carbon emissions in the Chang-Zhu-Tan urban agglomeration,this paper applies the NPP-VIIRS nighttime light images and impervious surface data,combined with county-level carbon emissions data to construct the carbon emission estimation model for the Chang-Zhu-Tan urban agglomeration,and analyzes the spatial and temporal distribution characteristics and changing trends of carbon emissions in this urban agglomeration.The results show that:(1) The average and total value of nighttime lights and impervious surfaces data can better reflect the regional carbon emission level of the Chang-Zhu-Tan urban agglomeration.(2)From 2013 to 2017,the carbon emissions of the Chang-Zhu-Tan urban agglomeration were concentrated,mainly distributed in the middle area of the northern part.The carbon emissions areas expand year by year but the intensity weakened.(3) From 2013 to 2017,the changing trend of carbon emissions in the Chang-Zhu-Tan urban agglomeration was that the central area mainly has negative carbon emissions growth,while the peripheral areas have undertaken some carbon emissions.This study monitors the county-level carbon emissions of the Chang-Zhu-Tan urban agglomeration from 2013 to 2017 based on multi-source remote sensing data,and reveals the changes in the spatio-temporal distribution of carbon emissions,which can provide a scientific reference for carbon emission reduction and regional sustainable development.