1. 平安煤炭开采工程技术研究院有限责任公司,安徽,淮南,232033
2. 安徽省煤矿绿色低碳发展工程研究中心,安徽,淮南,232000
3. 淮南矿业(集团)有限责任公司,安徽,淮南,232001
4. 安徽理工大学 地球与环境学院,安徽,淮南,232001
5. 安徽省高潜水位矿区水土资源综合利用与生态保护工程实验室,安徽,淮南,232001
纸质出版:2023
移动端阅览
詹绍奇, 张旭阳, 陈孝杨, 等. 2000-2020年淮南矿区土地利用变化对碳源/碳汇时空格局的影响[J]. 水土保持通报, 2023,43(3):310-319.
Zhan Shaoqi, Zhang Xuyang, Chen Xiaoyang, et al. Effects of Landuse Change on Spatial and Temporal Patterns of Carbon Sources/Sinks in Huainan Mining Area from 2000 to 2020[J]. Bulletin of Soiland Water Conservation, 2023, 43(3): 310-319.
詹绍奇, 张旭阳, 陈孝杨, 等. 2000-2020年淮南矿区土地利用变化对碳源/碳汇时空格局的影响[J]. 水土保持通报, 2023,43(3):310-319. DOI: 10.13961/j.cnki.stbctb.2023.03.035.
Zhan Shaoqi, Zhang Xuyang, Chen Xiaoyang, et al. Effects of Landuse Change on Spatial and Temporal Patterns of Carbon Sources/Sinks in Huainan Mining Area from 2000 to 2020[J]. Bulletin of Soiland Water Conservation, 2023, 43(3): 310-319. DOI: 10.13961/j.cnki.stbctb.2023.03.035.
[目的
]
分析淮南矿区2000—2020年土地利用碳源/碳汇时空格局分布特征,为淮南市国土空间规划及未来低碳调控政策制定提供依据。[方法
]
以淮南矿区为研究对象,选取2000,2010,2020年3期土地利用数据,以格网尺度量化不同土地利用变化发展阶段下碳源/碳汇/碳排放的时空格局,基于冷热点分析碳源/碳汇/碳排放的空间格局。[结果
]
①2000—2020年,土地利用类型由单一用地为主转换多种土地利用类型同时发生,其中,建设用地面积增大,导致碳源效应增强,碳汇效应相对减弱,碳排放量持续增加,碳源年增加量为2.76×10
6
t,碳汇年增加量仅为130 t,碳排放年增加量为2.76×10
6
t; ②碳源和碳排放空间分布特征基本一致,中部建成区和西北矿区是碳源和碳排放的主要集中区,碳汇主要聚集在东部、西部边缘区和西部部分矿区; ③中部建成区是碳源和碳排放的显著热点、热点区域,以显著热点变化特征为主;显著冷点和冷点主要分布在研究区东部、西部边缘区域和西北部分矿区。[结论
]
淮南矿区的碳减排和低碳效应需要着重关注北部大面积的平原耕地区域,控制该区域矿区煤炭资源开采和建设用地开发,应加快塌陷水域修复工作;南部城市化进程快速增加的同时需适度增加林地和草地等生产性碳吸收能力区域面积,避免建设用地无限制扩张。
[Objective] The spatial and temporal distribution characteristics of land use carbon sources/sinks in the Huainan mining area from 2000 to 2020 were analyzed
in order to provide a basis for Huainan City's territorial spatial planning and future low-carbon regulation policy formulation.[Methods] The study was conducted in the Huainan mining area. Grid-scale land use data in 2000
2010
and 2020 were used to quantify the spatial and temporal patterns of carbon sources/sinks/emissions under different stages of land use change development. The spatial patterns of carbon sources/sinks/emissions were determined based on coldspots and hotspots.[Results] ① From 2000 to 2020
the land use type shifted from a single land use type to multiple land use types at the same time. The area of construction land increased
leading to an enhanced carbon source effect
a relatively weaker carbon sink effect
and a continuous increase in carbon emissions
with an annual increase in carbon sources of 2.76×106 t
an annual increase in carbon sinks of only 130 t
and an annual increase in carbon emissions of 2.76×106 t. ② The spatial distribution characteristics of carbon sources and emissions were basically the same
with the central built-up area and the northwest mining area being the main concentration areas of carbon sources and emissions. Carbon sinks were mainly concentrated in the eastern and western fringe areas and the western mining area. ③ The central built-up area of the study area was a significant hotspot area for carbon sources and emissions
dominated by significant hotspot change characteristics. Significant coldspots were mainly located in the eastern and western marginal areas of the study area and in the northwest part of the mining area.[Conclusion] Greater attention should be given to the carbon emission reduction and low carbon effect of the Huainan mining area in the large plain area of farm land in the north
as well as to controlling the mining of coal resources
to the development of construction land
and to rapid restoration of subsidized water areas. With the rapid increase of urbanization in Southern China
the area of productive carbon absorption capacity from forest land and grassland should be moderately increased to avoid unlimited expansion of construction land.
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