湖北农业科学 ›› 2023, Vol. 62 ›› Issue (5): 8-13.doi: 10.14088/j.cnki.issn0439-8114.2023.05.003

• 资源·环境 • 上一篇    下一篇

基于土地利用变化的贵阳市碳排放时空演变和空间关联

周伟婷   

  1. 河海大学公共管理学院,南京 211100
  • 收稿日期:2023-02-22 出版日期:2023-05-25 发布日期:2023-06-12
  • 作者简介:周伟婷(1998-),女,安徽芜湖人,在读硕士研究生,研究方向为土地利用与规划,(电话)17730123889(电子信箱)waitingzhou@126.com。

Spatio-temporal evolution and spatial correlation of carbon emissions in Guiyang City based on land use change

ZHOU Wei-ting   

  1. School of Public Administration, Hohai University, Nanjing 211100, China
  • Received:2023-02-22 Online:2023-05-25 Published:2023-06-12

摘要: 以贵阳市为例,基于2000—2020年30 m地表覆盖遥感数据,利用土地利用转移矩阵、碳排放计算模型和空间自相关分析贵阳市土地利用类型和碳排放时空演变及空间关联,为区域“双碳”目标的实现与绿色低碳经济模式的发展提供参考。结果表明,2000—2020年贵阳市土地利用碳排放总量整体上增速较快,碳源呈增长趋势,主要构成为建设用地,碳汇仅有轻微波动,主要构成为林地。2000—2020年碳排放空间差异上,重度碳排放区主要集中在云岩区和南明区且有向西扩张的趋势,中度碳排放区主要集中于贵阳市西南和东北“两翼”且呈向东北转移的趋势;空间关联上,贵阳市土地利用碳排放在2000年呈空间正相关,在2005—2020年呈空间负相关且相关性不断上升。由此可知,贵阳市土地利用碳排放格局不容乐观,土地利用结构和强度亟待调整,应结合贵阳市实际情况制定切实可行的低碳减排政策,促进区域土地资源低碳高效可持续利用。

关键词: 土地利用, 碳排放, 时空演变, 空间关联, 贵阳市

Abstract: Taking Guiyang City as an example, based on the 30 m land cover remote sensing data from 2000 to 2020, the land use transfer matrix, carbon emission calculation model and spatial auto-correlation were used to analyze the spatio-temporal evolution and spatial correlation of land use types and carbon emissions in Guiyang City, to provide reference for the realization of regional “dual carbon” goal and the development of the green and low-carbon economic model. The results showed that from 2000 to 2020, the total carbon emission of land use in Guiyang City had a rapid growth rate on the whole, and the carbon source showed an increasing trend. The carbon source mainly consisted of construction land, and the carbon sink mainly consisted of forest land with only slight fluctuation. In terms of the spatial differences of carbon emissions from 2000 to 2020, the heavy carbon emission areas were mainly concentrated in Yunyan District and Nanming District, and showed a westward expansion trend; the moderate carbon emission areas were mainly concentrated in the southwest and northeast wings of Guiyang City, and showed a northeast shift trend. In terms of spatial correlation, the carbon emission of land use in Guiyang City showed a positive spatial correlation in 2000, and a negative spatial correlation with increasing correlation from 2005 to 2020. The pattern of land use carbon emission in Guiyang City was not optimistic, and the structure and intensity of land use were in urgent need of adjustment. Therefore, feasible low-carbon emission reduction policies should be formulated according to the actual situation of Guiyang City to promote the low-carbon, efficient and sustainable utilization of regional land resources.

Key words: land use, carbon emissions, spatio-temporal evolution, spatial correlation, Guiyang City

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