[1]张智扬,尹海魁,李新旺,等.河北省县域土地利用碳排放空间格局及协调分区[J].江苏农业学报,2024,(02):281-292.[doi:doi:10.3969/j.issn.1000-4440.2024.02.010]
　ZHANG Zhi-yang,YIN Hai-kui,LI Xin-wang,et al.Spatial pattern and coordination division of carbon emissions of county land use in Hebei province[J].,2024,(02):281-292.[doi:doi:10.3969/j.issn.1000-4440.2024.02.010]
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河北省县域土地利用碳排放空间格局及协调分区()
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江苏农业学报[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2024年02期
页码:
281-292
栏目:
耕作栽培·资源环境
出版日期:
2024-02-25

文章信息/Info

Title:
Spatial pattern and coordination division of carbon emissions of county land use in Hebei province
作者:
张智扬1; 尹海魁2; 3; 李新旺4; 陈亚恒1; 5; 刘微6; 王树涛1; 5
（1.河北农业大学国土资源学院，河北保定071000；2.河北农业大学资源与环境科学学院，河北保定071000；3.河北工程大学水利水电学院，河北邯郸056038；4.河北省水利科学研究院，河北石家庄050011；5.河北省农田生态环境重点实验室，河北保定071000；6.河北大学化学与环境科学学院，河北保定071000）
Author(s):
ZHANG Zhi-yang1; YIN Hai-kui2; 3; LI Xin-wang4; CHEN Ya-heng1; 5; LIU Wei6; WANG Shu-tao1; 5
(1.School of Land and Resources, Hebei Agricultural University, Baoding 071000，China;2.School of Resources and Environmental Science, Hebei Agricultural University, Baoding 071000，China;3.School of Water Resources and Hydropower, Hebei University of Engineering, Handan 056038，China;4.Hebei Institute of Water Resources, Shijiazhuang 050011，China;5.Key Laboratory for Farmland Eco-Environment of Hebei Province, Baoding 071000，China;6.School of Chemistry and Environmental Sciences, Hebei University, Baoding 071000，China)
关键词:
土地利用; 碳排放; 碳生态承载; 平衡分区
Keywords:
land use; carbon emission; carbon ecological carrying capacity; balanced partition
分类号:
F301.2;X32
DOI:
doi:10.3969/j.issn.1000-4440.2024.02.010
摘要:
土地利用变化是区域碳排放变化的主要驱动力，研究土地利用变化对碳排放的影响有助于制定碳排放政策。基于土地利用现状数据和能源消耗数据，构建碳排放评价模型，测算河北省2000-2020年土地利用碳排放量，利用标准差椭圆模型探究研究区碳排放空间格局分布特征，依据碳排放经济贡献系数和碳生态承载系数提出碳平衡分区方案及优化对策。结果表明，①2000-2020年河北省碳排放总量整体上呈现明显的上涨趋势，从9.01×107 t上升到2.75×108 t，2000-2010年碳排放量增长速率快速提升，2010-2020年碳排放量增长相对缓慢。②河北省碳排放强度呈现多圈层结构空间分布特征，主要以资源型城市为中心向外呈圈层结构扩散，石家庄和沧州核心市区次圈层结构逐渐显现。③河北省县域碳排放经济贡献系数空间特征呈四周低中间高，碳生态承载系数呈现西北高东南低的空间分布规律。④基于碳平衡分析将河北省划分为碳汇功能区、低碳保持区、经济发展区、碳汇发展区和高碳优化区，并提出了相应的发展策略。
Abstract:
Land use change is the main driving force of regional carbon emissions change. Studying the impact of land use change on carbon emissions will help to formulate carbon emission policies. Based on the current land use data and energy consumption data, a carbon emission evaluation model was built to calculate the land use carbon emissions of Hebei province from 2000 to 2020. The standard deviation ellipse model was used to explore the spatial pattern distribution characteristics of carbon emissions in the study area. Based on the economic contribution coefficient of carbon emissions and the carbon ecological carrying coefficient, the carbon balanced zoning scheme and optimization countermeasures were proposed. The results showed that, from 2000 to 2020, the total carbon emissions of Hebei province showed an obvious upward trend, rised from 9.01×107 t to 2.75×108 t, the growth rate of carbon emissions from 2000 to 2010 improved rapidly, and the growth of carbon emissions from 2010 to 2020 was relatively slow. The carbon emission intensity of Hebei province presented a spatial distribution characteristic with multi-circle structure, mainly centered around the resource-based cities and spreaded outward in a circle structure, and the sub circle structure of Shijiazhuang and Cangzhou core urban areas gradually became apparent. The spatial characteristics of the economic contribution coefficient of carbon emissions of counties in Hebei province were low in four directions and were high in the middle, and the carbon ecological carrying coefficient was high in the northwest and was low in the southeast. Based on the carbon balance analysis, Hebei province was divided into carbon sink functional area, low carbon conservation area, economic development area, carbon sink development area and high carbon optimization area, and corresponding development strategies were proposed.

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备注/Memo

备注/Memo:
收稿日期：2022-11-08基金项目：河北省重点研发计划项目（22327301D、21373807D）作者简介：张智扬（1998-），男，河北唐山人，硕士研究生，研究方向为土地资源利用。（E-mail）531383124@qq.com通讯作者：王树涛，（E-mail）55381040@qq.com
更新日期/Last Update: 2024-03-17