地理科学进展 ›› 2023, Vol. 42 ›› Issue (7): 1406-1419.doi: 10.18306/dlkxjz.2023.07.014

• 研究综述 • 上一篇    下一篇

市—县尺度能源消费碳排放核算方法研究进展

王正1,2(), 周侃1,2, 樊杰1,2,3,*(), 赵浩1,2   

  1. 1.中国科学院地理科学与资源研究所,北京 100101
    2.中国科学院大学,北京 100049
    3.中国科学院科技战略咨询研究院,北京 100190
  • 收稿日期:2023-02-22 修回日期:2023-05-22 出版日期:2023-07-28 发布日期:2023-07-25
  • 通讯作者: *樊杰(1961— ),男,陕西西安人,博士,研究员,博士生导师,研究方向为区域可持续发展与主体功能区划。E-mail: fanj@igsnrr.ac.cn
  • 作者简介:王正(1991— ),男,安徽凤阳人,博士生,主要研究方向为双碳背景下国土空间可持续发展。E-mail: wangz.19b@igsnrr.ac.cn
  • 基金资助:
    国家自然科学基金重点项目(42230510)

Progress of research on energy-related carbon emission accounting methods at the prefectural and county levels

WANG Zheng1,2(), ZHOU Kan1,2, FAN Jie1,2,3,*(), ZHAO Hao1,2   

  1. 1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
    2. University of Chinese Academy of Sciences, Beijing 100049, China
    3. Institutes of Science and Development, CAS, Beijing 100190, China
  • Received:2023-02-22 Revised:2023-05-22 Online:2023-07-28 Published:2023-07-25
  • Supported by:
    National Key Natural Science Foundation of China(42230510)

摘要:

市—县单元碳排放核算是空间降尺度开展碳减排研究的基础性工作。因市、县级能源数据缺失,国内外学者对市—县尺度碳排放核算方法提出各自见解,但不同核算方法优缺点和适用范围未有归纳和总结,不利于研究人员选用。论文基于文献综述,梳理国内外文献,系统归纳市级和县级尺度碳排放核算方法,发现:市—县尺度形成了清单算法和夜间灯光反演两大类核算方法。① 清单算法包括:“自上而下”分解法,按照市/县各部门产值占省级对应部门的比重,将能源消费量分配到目标单元;“自下而上”调查法,逐部门调研获取能源数据并核算碳排放;“自上而下”与“自下而上”结合法,将可获取的部门能源数据和能源数据分解结合使用。② 夜间灯光反演法包括:方程参数降尺度传导法,假定省级单元内部灯光亮度与碳排放函数方程关系一致,沿用省级拟合方程参数、构建省内不同尺度单元灯光亮度和碳排放总量回归模型;降尺度分解法,以夜间灯光亮度总量占省级比重作为权重,将省级能源消费(或碳排放量)分解至下层级行政单元。从空间尺度和研究内容两方面,归纳了不同核算方法的适用范围。立足当下研究需求和核算方法难点,提出在全域范围内基于市—县单元开展碳排放核算,调查典型单元能源消费量并以之为样本,构建灯光亮度和碳排放量反演方程模型,是未来碳核算方法的重要发展方向。

关键词: 能源消费碳排放, 市—县尺度, 核算方法, 研究进展

Abstract:

Carbon emission accounting of prefectural and county units is the basic work of emission reduction research. Due to the lack of energy data, scholars in China and abroad have proposed many carbon emission accounting methods at the prefectural and county levels. Existing accounting methods lack comparative analysis and systematic summary. To provide a scientific reference for researchers to choose appropriate accounting methods, this study reviewed relevant literature in China and internationally from 2000 to 2022, classified prefectural and county scale carbon emission accounting methods, and discussed the advantages and disadvantages of these methods and their scope of application. The main results and conclusions are as follows: 1) There are two types of accounting methods for the prefectural and county units—inventory and nighttime light data inversion. 2) The inventory methods include the top-down decomposition method, which allocates energy consumption to target units according to the proportion of the output value of each sector in the corresponding sector at the provincial level; the bottom-up method, obtaining energy data and carbon emission accounting by sector; and the combination of the top-down and bottom-up methods, which combines the available sectoral energy data with the decomposition of energy data, taking into account the feasibility of accounting work. 3) Nighttime light inversion methods include the equation parameter downscaling conduction method, which was used to construct the regression model of light brightness and total carbon emissions of different scale units in a province; and downscaling decomposition method, which takes the proportion of total nighttime light brightness in the provincial unit as the weight to decompose the provincial carbon emissions into the administrative unit at the lower level. 4) The scope of application of different methods was discussed from the aspects of spatial scale and research content. An important future development direction of carbon accounting methods is to conduct carbon emission accounting at the prefectural and county levels, investigate the energy consumption of typical prefectural/county units, and use them as samples to construct inversion equation models of nightlight brightness and carbon emissions.

Key words: energy-related carbon emissions, prefectural and county levels, accounting method, research progress