长江科学院院报 ›› 2023, Vol. 40 ›› Issue (12): 65-72.DOI: 10.11988/ckyyb.20221203

• 水土保持与生态修复 • 上一篇    下一篇

2000—2017年江苏省县域尺度碳平衡时空变化特征分析

彭瑞1, 吴丹2, 高洁1, 呼和涛力2   

  1. 1.常州大学 环境科学与工程学院, 江苏 常州 213164;
    2.常州大学 城乡矿山研究院, 江苏 常州 213164
  • 收稿日期:2022-09-15 修回日期:2022-11-04 出版日期:2023-12-01 发布日期:2023-12-11
  • 通讯作者: 吴 丹(1988-),女,江苏常州人,副研究员,博士,主要从事能源发展战略研究。E-mail: cumtwudan@163.com
  • 作者简介:彭 瑞(1993-),女,江苏徐州人,硕士研究生,研究方向为资源与环境。E-mail: 18896729260@163.com
  • 基金资助:
    中国工程院战略研究与咨询项目(2022-XZ-33-04);常州大学科技项目(ZMF20020441)

Temporal and Spatial Characteristics of Carbon Balance at County Scale in Jiangsu Province from 2000 to 2017

PENG Rui1, WU Dan2, GAO Jie1, HUHE Tao-li2   

  1. 1. School of Environmental Science and Engineering, Changzhou University, Changzhou 213164, China;
    2. Institute of Urban & Rural Mining Research, Changzhou University, Changzhou 213164, China
  • Received:2022-09-15 Revised:2022-11-04 Published:2023-12-01 Online:2023-12-11

摘要: 县域碳平衡时空变化特征研究在理论上不仅有助于构建县域尺度碳平衡评价体系,在现实意义上也有助于县域空间规划和低碳发展策略制定。以县域碳排放和固碳量数据为基础,通过构建碳平衡系数对江苏省2000—2017年县域碳平衡进行时空特征分析。结果表明:江苏省碳排放量在2001—2011年增长速度较快,而后呈现小幅度浮动。空间上呈现“南高北低”的分布格局,高碳排放区主要集中在经济发达的苏南地区。植被固碳量总体增长起伏变化不大。空间上呈现“四周高中心低”的分布格局,高碳汇区主要分布在自然资源丰富和植被覆盖率高的区县。碳失衡县域个数由2000年的53个增长到2017年的93个,可见碳失衡严重区域增幅明显。碳失衡严重的区县与高碳排放量空间分布格局相似,主要分布在南京市中心、苏州姑苏区、扬州广陵区、徐州泉山区。建议从减碳和增汇两方面推进“双碳”目标实现进程。

关键词: 碳排放, 固碳量, 碳平衡, 碳失衡, 县域尺度

Abstract: The research on temporal and spatial characteristics of carbon balance at county scale is valuable not only for the theoretical construction of a county-scale carbon balance evaluation system but also for practical applications such as spatial planning and the formulation of low-carbon development strategies. By constructing the carbon balance coefficient, we analyzed the temporal and spatial characteristics of carbon balance in Jiangsu Province from 2000 to 2017 based on data of carbon emission and carbon sequestration at county level. The study reveals that, first, carbon emissions in Jiangsu Province experienced rapid growth from 2001 to 2011, followed by a small fluctuation. In terms of spatial pattern, higher carbon emissions were observed in the economically developed southern region of the province, while the northern region exhibited lower emissions. Second, vegetation carbon sequestration displayed a consistent overall growth with minimal fluctuations. The spatial pattern of carbon sequestration revealed a characteristic distribution of higher values around the periphery and lower values towards the center. Counties with abundant natural resources and high vegetation coverage accounted for the majority of high carbon sink areas. Finally, the number of counties with carbon imbalance increased from 53 in 2000 to 93 in 2017, indicating a significant rise in areas experiencing severe carbon imbalance. Districts and counties with severe carbon imbalance exhibit a similar spatial distribution pattern to those with high carbon emissions, primarily located in the central regions of Nanjing, Gusu District of Suzhou, Guangling District of Yangzhou, and Quanshan District of Xuzhou. Based on these findings, we recommended to promote carbon reduction and increased carbon sink capabilities to achieve the goal of “double carbon” (simultaneous reduction of carbon emissions and enhancement of carbon sequestration).

Key words: carbon emission, carbon sequestration, carbon balance, carbon imbalance, county scale

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