摘要
针对传统基于行政区域的能源碳排放估算方法难以提供行政区域内部的碳排放空间分布信息的问题,该文在已有研究的基础上,根据依托数据、空间尺度和空间化方式的不同,总结出了三种能源碳排放的空间估算方法和其相关应用,并对不同数据和方法的优缺点进行了比较分析。现有研究的不足主要体现在碳排放数据的缺失和估算方法的有效性上,该文针对这些不足进行了讨论,并对这一领域的未来发展进行了思考和展望。
Traditional district-based energy carbon emission estimation methods cannot provide the spatial information of carbon emission within the district.Therefore,based on exiting research,this paper summarizes three spatial estimation methods of energy carbon emissions and their related applications,according to the differences of data,spatial scale and spatialization methods.The pros and cons of these different data and methods are compared and analyzed.The shortcomings of existing research are mainly reflected in the lack of carbon emission data and the validity of estimation methods.This paper discusses the deficiencies,and provides reflections and prospects for the future development of this field.
作者
孔潇扬
李琦
KONG Xiaoyang;LI Qi(School of Earth and Space Science,Peking University,Beijing 100871,China)
出处
《测绘科学》
CSCD
北大核心
2022年第8期146-156,185,共12页
Science of Surveying and Mapping
关键词
能源碳排放
空间估算
地理大数据
energy carbon emissions
spatial estimation
geographic big data
作者简介
孔潇扬(1990—),男,山东济南人,博士研究生,主要研究方向为制图学与地理信息系统。E-mail:xiaoyangkong@pku.edu.cn;通信作者:李琦,教授,E-mail:liqi@pku.edu.cn
