摘要
探究广西土地利用碳排放量与不同用地类型的关联度大小,找出影响碳排放较大的用地类型,为2060年中国实现碳中和目标和区域高质量发展提供参考。研究方法为灰色关联度模型。结果表明:单位GDP碳排放强度与土地利用变化关联度排序结果是:园地>草地>耕地>水域>林地>建设用地。人均碳排放强度与土地利用变化关联度排序结果是:建设用地>林地>耕地>水域>草地>园地。提出了2009~2019年广西土地利用变化与人均碳排放强度、单位GDP碳排放强度的灰色关联度数值都处于较高水平,这表明它们之间具有强烈的相关性,因此广西可以通过合理配置土地利用结构来减少碳排放,尽量避免因土地资源配置不合理造成更多能源消耗,争取早日达到碳中和目标。
This paper is to explore the correlation degree between land use carbon emission and different land types in Guangxi Province,and to find out the land types that have a large impact on carbon emission,so as to provide reference for China to achieve carbon neutrality and regional high-quality development in 2060.Grey relational degree model is adopted.The results show that the correlation between carbon emission intensity per unit GDP and land use change was as follows garden > grassland > arable land > water area > woodland > construction land.The correlation between carbon emission intensity per capita and land use change was as follows construction land > forest land > arable land > water area > grassland > garden land.It is concluded that from 2009 to 2019,the land use changes and the per capita carbon emission intensity of grey correlation degree,per unit of GDP carbon emission intensity values are at a higher level,which indicates that there is a strong correlation between them.Therefore,Guangxi Province can reduce carbon emission by rational allocation of land use structures and try to avoid more energy consumption caused by unreasonable allocation of land resources to achieve carbon neutrality as soon as possible.
作者
曹丹娜
杨小雄
黎虹鑫
唐令东
Cao Danna;Yang Xiaoxiong;Li Hongxin;Tang Lingdong(School of Natural Resources and Geomatics,Nanning Normal University,Nanning,Guangxi 530001,China)
出处
《绿色科技》
2022年第15期231-235,共5页
Journal of Green Science and Technology
关键词
碳排放
土地利用
灰色关联度模型
广西
carbon emission
land use
grey relational degree model
Guangxi Province
