Effects of Landuse Change on Spatial and Temporal Patterns of Carbon Sources/Sinks in Huainan Mining Area from 2000 to 2020

Zhan Shaoqi; Zhang Xuyang; Chen Xiaoyang; Zhou Yuzhi; Long Linli; Xu Yanfei

doi:10.13961/j.cnki.stbctb.2023.03.035

您当前的位置：

首页 >

文章列表页 >

Effects of Landuse Change on Spatial and Temporal Patterns of Carbon Sources/Sinks in Huainan Mining Area from 2000 to 2020

- Effects of Landuse Change on Spatial and Temporal Patterns of Carbon Sources/Sinks in Huainan Mining Area from 2000 to 2020
- Bulletin of Soiland Water Conservation Vol. 43, Issue 3, Pages: 310-319(2023)
- 作者机构：
  
  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
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2023.03.035
  CLC： X32;X171;S157.4
- Published：2023
- 稿件说明：
移动端阅览
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：

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.

摘要

[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

t，碳汇年增加量仅为130 t，碳排放年增加量为2.76×10

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。

Abstract

[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.

关键词

Keywords

references

刘祥宏,阎永军,刘伟,等.碳中和战略下煤矿区生态碳汇体系构建及功能提升展望[J].环境科学,2022,43(4):2237-2240+2242-2250.

韩骥,周翔,象伟宁.土地利用碳排放效应及其低碳管理研究进展[J].生态学报,2016,36(4):1152-1161.

Churkina G, Organschi A, Reyer C P O, et al. Buildings as a global carbon sink[J]. Nature Sustainability, 2020,3(4):269-276.

Masson-Delmotte Valérie, Zhai Panmao, Pirani Anna, et al. Climate Change 2021:The physical science basis//Contribution of working group Ⅰ to the sixth assessment report of the intergovernmental panel on climate change[C]. IPCC:Geneva, Switzerland, 2021.

马远,刘真真.黄河流域土地利用碳排放的时空演变及影响因素研究[J].生态经济,2021,37(7):35-43.

马海良,丁元卿,庞庆华.武汉市湖泊水域利用转变及其碳排放影响[J].长江流域资源与环境,2020,29(2):369-375.

Bryan Brett A, Gao Lei, Ye Yanqiong, et al. China's response to a national land-system sustainability emergency[J]. Nature, 2018,559(7713):193-204.

Tian Shiqi, Wang Shijie, Bai Xiaoyong, et al. Global patterns and changes of carbon emissions from land use during 1992-2015[J]. Environmental Science and Ecotechnology, 2021,7:100108.

Lai Li, Huang Xianjin, Yang Hong, et al. Carbon emissions from land-use change and management in China between 1990 and 2010[J]. Science Advances, 2016,2(11):e1601063.

Zhu Enyan, Deng Jingsong, Zhou Mengmeng, et al. Carbon emissions induced by land-use and land-cover change from 1970 to 2010 in Zhejiang, China[J]. Science of the Total Environment, 2019,646:930-939.

Jin Gui, Guo Baishu, Deng Xiangzheng. Is there a decoupling relationship between CO

emission reduction and poverty alleviation in China?[J]. Technological Forecasting and Social Change, 2020,151:119856.

Chuai Xiaowei, Yuan Ye, Zhang Xiuying, et al. Multiangle land use-linked carbon balance examination in Nanjing City, China[J]. Land Use Policy, 2019,84:305-315.

阿依吐尔逊·沙木西,艾力西尔·亚力坤,刘晓曼,等.乌鲁木齐土地利用碳排放强度时空演变研究[J].中国农业资源与区划,2020,41(2):139-146.

Li Jianbao, Huang Xianjin, Yang Hong, et al. Convergence of carbon intensity in the Yangtze River Delta, China[J]. Habitat International, 2017,60:58-68.

李玉玲,李世平,祁静静.陕西省土地利用碳排放影响因素及脱钩效应分析[J].水土保持研究,2018,25(1):382-390.

黄鑫,邢秀为,程文仕.土地利用碳排放与GDP含金量的脱钩关系及驱动因素[J].地域研究与开发,2020,39(3):156-161.

Cheng Zhonghua, Li Lianshui, Liu Jun. Industrial structure, technical progress and carbon intensity in China's Provinces[J]. Renewable and Sustainable Energy Reviews, 2018,81:2935-2946.

黄雨生,曲建升,刘莉娜.中国各省份碳足迹与碳承载力差异研究[J].生态经济,2016,32(6):38-43.

陈中督,徐春春,纪龙,等.2004-2014年南方稻区双季稻生产碳足迹动态及其构成[J].应用生态学报,2018,29(11):3669-3676.

彭文甫,周介铭,徐新良,等.基于土地利用变化的四川省碳排放与碳足迹效应及时空格局[J].生态学报,2016,36(22):7244-7259.

秦岩,於冉,於忠祥,等.2000-2018年长三角中心区土地利用碳排放强度的时空特征[J].河南农业大学学报,2021,55(1):132-140.

牛亚文,赵先超,胡艺觉.基于NPP-VIIRS夜间灯光的长株潭地区县域土地利用碳排放空间分异研究[J].环境科学学报,2021,41(9):3847-3856.

He Tingting, Xiao Wu, Zhao Yanling, et al. Identification of waterlogging in Eastern China induced by mining subsidence:A case study of Google Earth Engine time-series analysis applied to the Huainan coal field[J]. Remote Sensing of Environment, 2020,242:111742.

刘璐.淮南市矿山地质环境问题及防治技术研究[J].资源环境与工程,2021,35(2):200-205.

刘衡秋,刘钦甫,张景飞.淮南煤田开采条件及其综采适应性评价研究[J].煤炭科学技术,2004,32(4):50-54.

Cai Zucong, Tsuruta Haruo, Gao Ming, et al. Options for mitigating methane emission from a permanently flooded rice field[J]. Global Change Biology, 2003,9(1):37-45.

方精云,郭兆迪,朴世龙,等.1981-2000年中国陆地植被碳汇的估算[J].中国科学(D辑:地球科学),2007,37(6):804-812.

Shan Yuli, Guan Dabo, Liu Jianghua, et al. Methodology and applications of city level CO

emission accounts in China[J]. Journal of Cleaner Production, 2017,161:1215-1225.

Getis Arthur, Ord J K. The analysis of spatial association by use of distance statistics[J]. Geographical Analysis, 1992,24(3):189-206.

赵筱青,石小倩,李驭豪,等.滇东南喀斯特山区生态系统服务时空格局及功能分区[J].地理学报,2022,77(3):736-756.

Yang Jie, Huang Xin. The 30 m annual land cover dataset and its dynamics in China from 1990 to 2019[J]. Earth System Science Data, 2021,13(8):3907-3925.

程苗苗,王辉,马刚,等.基于遥感影像的平朔矿区碳汇变化及预测研究[J].中国矿业,2020,29(3):80-87.

陈永春,袁亮,徐翀.淮南矿区利用采煤塌陷区建设平原水库研究[J].煤炭学报,2016,41(11):2830-2835.

Xiao Wu, Hu Zhenqi, Chugh Yoginder P, et al. Dynamic subsidence simulation and topsoil removal strategy in high groundwater table and underground coal mining area:A case study in Shandong Province[J]. International Journal of Mining, Reclamation and Environment, 2014,28(4):250-263.

赵艳玲,丁宝亮,何厅厅,等.基于Google Earth Engine的采煤沉陷水体方向变化自动识别[J].煤炭学报,2022,47(7):2745-2755.

李国煜,王嘉怡,曹宇,等.碳排放约束下的福建省城镇建设用地利用效率动态变化与影响因素[J].中国土地科学,2020,34(4):69-77.

李彦旻,沈育生,王世航.基于土地利用变化的安徽省陆地碳排放时空特征及效应[J].水土保持学报,2022,36(1):182-188.

Views

579

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Spatio-temporal Variation and Influencing Factors of CO2 Emission at County Scale in Shaanxi Province Based on Land Use Change

Carbon Emission Risk from Land Use in Typical Regions of Middle and Lower Yangtze River—A Case Study at Jiujiang City, Jianxi Province

Spatiotemporal evolution of productive-living-ecological space at county level of Qinling-Daba Mountains area under background of urban-rural integration

Soil erosion characteristics and assessment of their differences in typical regions of Fujian Province in 2024 based on CSLE model

Measurement and zoning of carbon balance in full life cycle of grain production in Gansu section of Yellow River basin

Related Author

Cao Zhouliang

Zhang Xinrong

Yuan Xuefeng

Chen Jinhong

Liu Chunying

Tan Siyuan

WangJunbo

Liu Li

Related Institution

School of Land Engineering, Changan University, Xian

School of Earth Science and Resources, Changan University, Xian

Shaanxi Key Laboratory of Land Consolidation, Xian

Institute of Rural Revitalization, Changan University, Xian

School of Tourism and Urban Management, Jiangxi University of Finance and Economics

⁰