摘要
Abstract
To address the strong spatiotemporal heterogeneity of carbon emissions in the Yangtze River Delta region,this study constructed a high-resolution(0.02°)monitoring grid of column-averaged carbon dioxide concentration(XCO2)based on OCO-2 satellite data combined with the Kriging interpolation method,in order to reveal the spatiotemporal evolution patterns of XCO2 in the Yangtze River Delta region.The contribution of 17 land use types to XCO2 was evaluated using a geographic weighted regression(GWR)model.The results showed that from 2015 to 2023,the annual average XCO2 in the Yangtze River Delta region increased by 4.63 mg/m3,and the growth rate decreased per year after 2017.This change was closely related to the implementation of regional low-carbon policies and industrial transformation.Spatially,the distribution exhibited a dynamic migration pattern:the high-value areas shifted from the Taihu Lake basin to the Huainan mining area in Anhui Province and the northern Jiangsu industrial corridor,while the ecological zone in southwestern Zhejiang maintained consistently low values due to high forest coverage;land use types had significant effects on XCO2,with urban and built-up land and cropland showing significant positive correlations(r=0.58 and 0.62,respectively),whereas evergreen broadleaf forest and mixed forest showed significant negative correlations(r=-0.41 and-0.47,respectively).Based on these findings,seasonal regulation measures were designed from the temporal dimension,and three-level control zones were delineated from the spatial dimension,providing a spatial collaborative optimization pathway for carbon neutrality in high-density urban agglomerations.关键词
柱状平均二氧化碳浓度/长三角地区/土地利用/碳调控Key words
XCO2/Yangtze River Delta region/land use/carbon regulation分类
资源环境
