基于碳平衡分区的多目标土地利用格局优化——以长株潭城市群为例  

Multi-objective land use pattern optimization based on carbon balance zoning——A case study of Changsha-Zhuzhou-Xiangtan uban agglomeration

作　　者：谭德明[1,3] 谭卓成 李家裕 吴大维 张彩平 Tan Deming;Tan Zhuocheng;Li Jiayu;Wu Dawei;Zhang Caiping(Solux College of Architecture and Design,University of South China,Hengyang,Hunan 421200,China;School of Resources Environment and Safety Engineering,University of South China,Hengyang,Hunan 421200,China;Institute for Carbon Neutrality and Nuclear Energy Development Innovation,Hengyang,Hunan 421200,China;School of Economics,Management and Law,University of South China,Hengyang,Hunan 421200,China)

机构地区：[1]南华大学松霖建筑与设计艺术学院,湖南衡阳421200 [2]南华大学资源环境与安全工程学院,湖南衡阳421200 [3]南华碳中和与核能发展创新研究院,湖南衡阳421200 [4]南华大学经济管理与法学学院,湖南衡阳421200

出　　处：《水土保持通报》2025年第1期276-285,共10页Bulletin of Soil and Water Conservation

基　　金：国家社会科学基金项目“‘双碳’目标导向的企业碳资产管理研究”(23FGLB011);湖南省自然科学基金项目(2024JJ5328)。

摘　　要：[目的]从碳平衡的视角对长株潭城市群进行土地利用资源的空间优化,为该地区社会和经济的可持续发展提供理论支持。[方法]从土地利用角度计算长株潭城市群的碳汇与碳排量,依据碳生态承载力系数与碳经济贡献系数进行碳平衡分区并针对每类市县提出土地利用优化策略,设置经济效益、碳汇效益、紧凑度和转换成本作为多目标算法的优化函数,再通过CoMOLA模型得到较为科学的土地利用空间结构优化。[结果](1)2000-2020年,长株潭城市群碳排放总量呈逐年上升趋势,各区县的碳汇水平较为稳定,但总体上呈现轻微下降的趋势;(2)依据碳生态承载力系数与碳经济贡献系数将长株潭城市群分为碳汇发展区、经济发展区、综合优化区、绿色发展区;(3)优化后的土地利用经济效益增加了28.5%,碳汇量增加了4.2%,紧凑度提升了3.6%。[结论]优化后的土地资源能够较好满足长株潭城市群的经济与生态可持续发展,土地空间布局更加合理,为未来的土地资源配置提供决策依据。[Objective]The spatial land use resources of Changsha-Zhuzhou-Xiangtan urban agglomeration were optimized from the perspective of carbon balance,in order to provide theoretical support for the sustainable development of the region’s society and economy.[Methods]The carbon sinks and carbon emissions of the Chang-Zhu-Tan urban agglomeration were calculated from a land use perspective.Using the carbon ecological carrying capacity coefficient and the carbon economic contribution coefficient,carbon balance zoning was conducted,and land use optimization strategies were proposed for each type of city and county.Economic benefits,carbon sink benefits,compactness,and conversion costs were set as optimization functions for a multi-objective algorithm,achieving a more scientific optimization of land use spatial structure using the CoMOLA model.[Results]①From 2000 to 2020,the total carbon emissions of the Chang-Zhu-Tan urban agglomeration increased annually,while the carbon sink levels in various districts and counties remained relatively stable,with an overall slight decline.②Based on the carbon ecological carrying capacity coefficient and the carbon economic contribution coefficient,the Chang-Zhu-Tan urban agglomeration was classified into carbon sink development zones,economic development zones,comprehensive optimization zones,and green development zones.③The optimized land use increased economic benefits by 28.5%,carbon sink volume by 4.2%,and compactness by 3.6%.[Conclusion]The optimized land resources effectively meet the needs for economic and ecological sustainable development in the Chang-Zhu-Tan urban agglomeration,with a more rational spatial arrangement of land.This provides a decision-making basis for future land resource allocation.

关 键 词：碳平衡分区 城市群 碳汇量 分区优化 多目标优化 

分 类 号：F301.2[经济管理—产业经济]