大气与环境光学学报 ›› 2025, Vol. 20 ›› Issue (5): 652-665.doi: 10.3969/j.issn.1673-6141.2025.05.008

• 光学遥感 • 上一篇    下一篇

基于夜光遥感数据的合肥市碳排放时空分布特征研究

赵强 1,2,3, 谭璐 4*, 方潜生 1,2, 刘常瑜 1,2,3, 易明建 1,2,3   

  1. 1 安徽建筑大学环境与能源工程学院, 安徽 合肥 230601; 2 安徽省建设领域碳达峰碳中和战略研究院, 安徽 合肥 230601; 3 安徽省智慧城市工程技术研究中心, 安徽 合肥 230601; 4 安徽省皖能能源交易有限公司, 安徽 合肥 230011
  • 收稿日期:2022-07-06 修回日期:2022-08-19 出版日期:2025-09-28 发布日期:2025-09-24
  • 通讯作者: E-mail: 18605654950@163.com E-mail:rommel99@163.com
  • 作者简介:赵强 (1981- ), 安徽合肥人, 博士, 教授, 硕士生导师, 主要从事环境遥感技术以及城市空间信息技术应用方面的研究。 E-mail: rommel99@163.com
  • 基金资助:
    国家自然科学基金 (41005016), 安徽省高校优秀青年人才支持计划重点项目 (gxyqZD2020036)

Research on spatiotemporal characteristics of carbon emissions in Hefei City based on night light remote sensing data

ZHAO Qiang 1,2,3, TAN Lu 4*, FANG Qiansheng 1,2, LIU Changyu 1,2,3, YI Mingjian 1,2,3   

  1. 1 School of Environment and Energy Engineering, Anhui Jianzhu University, Hefei 230601, China; 2 Anhui Institute of Carbon Emission Peak and Carbon Neutrality in Urban-Rural Development, Hefei 230601, China; 3 Anhui Engineering and Technology Research Center of Smart City, Hefei 230601, China; 4 Anhui Wanneng Energy Trading Co., Ltd, Hefei 230011, China
  • Received:2022-07-06 Revised:2022-08-19 Online:2025-09-28 Published:2025-09-24
  • Contact: Qiang ZHAO E-mail:rommel99@163.com

摘要: 以合肥市为研究区域, 对合肥市碳排放量进行核算, 结合夜间灯光遥感数据建立灯光总灰度值与碳排放总量 的数学模型, 得到合肥市近8 年的碳排放时空分布特征图。综合运用标准差椭圆等方法对合肥市碳排放时空特征进 行相关分析, 得出以下结论: (1) 从直接碳排放量看, 净碳排放量与各土地利用类型的碳源和碳汇密切相关, 其中, 林 地的碳汇量占碳汇总量70%以上。(2) 从间接碳排放量看, 建筑碳排放量从2010 年的1765.96 万t 增加到2019 年的 3716.58 万t, 增长了110.5%。(3) 从合肥市碳排放时空分布特征来看, 在合肥市东西方向上, 存在明显的峰谷, 具有较 强的倒“U”型趋势; 在南北方向上, 则呈现出由北到南线性增加的分布趋势, 南部的碳排放量明显高于北部。

关键词: 夜光遥感, 土地利用, 碳排放, 时空演变

Abstract: Taking Hefei City, China, as the research area, the carbon emissions of the city were calculated, and then on the basis of the establishment of the mathematical model of the total gray value of lights and the total carbon emissions based on the nighttime light remote sensing data, the spatiotemporal distribution characteristic map of carbon emissions in Hefei City in the past eight years was obtained. to the spatial and temporal characteristics of carbon emissions in Hefei City was analyzed comprehensively using standard deviation ellipse and other methods. The following conclusions are drawn: (1) From the perspective of direct carbon emissions, net carbon emissions are closely related to the carbon sources and carbon sinks of various land use types. Among them, the carbon sink of forest land accounts for more than 70% of the total carbon sink. (2) In terms of indirect carbon emissions, the carbon emissions from building increased from 17, 659, 600 tons in 2010 to 37, 165, 800 tons in 2019, with an increase of 110.5%. (3) Regarding to the spatiotemporal distribution characteristics of carbon emissions in Hefei City, there are obvious peaks and valleys in the east-west direction of Hefei City, with a strong inverted "U"-shaped trend. While in the northsouth direction, it shows a linearly increasing distribution trend from north to south, and the carbon emissions in the south are significantly higher than those in the north.

Key words: night light remote sensing, land use, carbon emissions, temporal and spatial evolution

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