摘要
为使推行的碳减排政策切实有效地满足城市的实际需求,对其内部碳排放的分布格局形成清晰认知是必要条件。文章采用“自上而下”与“自下而上”相结合的碳排放核算方法,结合遥感与统计数据,以乡镇街道作为分析单元,利用地统计学方法分析了北京市碳排放格局与驱动因素。结果表明:2000—2019年,北京市碳排放量呈先急后缓的增长趋势,高碳排放街道主要分布在中南部,具有明显的集聚现象;碳排放驱动因素存在显著的时空异质性,人口规模、经济发展水平和工矿业发展对北京市街道碳排放总体呈正向影响,影响程度依次减弱,技术水平的提升对碳排放具有抑制作用。
To make the carbon emission reduction policies implemented effectively meet the actual needs of the city,it is necessary to understand the distribution patterns of its internal carbon emissions.Considering the carbon emissions accounting method combining“top-down”and“bottom-up”,this study uses the township and street as the unit,and analyzes the spatial-temporal patterns and driving factors of carbon emission in Beijing by using geographic statistical analysis method based on remote sensing and statistical data.The results show that the carbon emission of Beijing shows a trend of first rapid growth and then slow growth from 2000 to 2019.The streets with high carbon emissions are mainly distributed in the central and southern parts of Beijing,showing an obvious agglomeration phenomenon.The population size,economic development level,and industrial and mining development have positive impacts on street carbon emissions in Beijing,and the impact degree weakens in turn.The improvement of technology level has an inhibitory effect on carbon emissions.
作者
丰显康
匡文慧
窦银银
汪东川
薛金铭
FENG Xiankang;KUANG Wenhui;DOU Yinyin;WANG Dongchuan;XUE Jinming(School of Geology and Mapping,Tianjin Chengjian University,Tianjin 300384,China;Key Laboratory of Land Surface Pattern and Simulation,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China)
出处
《遥感信息》
CSCD
北大核心
2023年第6期82-87,共6页
Remote Sensing Information
基金
中国科学院A类战略性先导科技专项(XDA23100201)。
关键词
碳排放
乡镇街道尺度
时空格局
驱动因素
carbon emission
township and street scale
spatial-temporal pattern
driving factor
作者简介
丰显康(2000-),男,硕士研究生,主要研究方向为城市生态遥感与测量。E-mail:fak0602@163.com;通信作者:匡文慧(1978-),男,研究员,主要研究方向为土地利用/覆盖变化、城市生态学。E-mail:kuangwh@igsnrr.ac.cn。
