| 碳中和视角下甘肃省县域碳收支时空分异与国土空间分区优化 |
| 摘要点击 875 全文点击 233 投稿时间：2023-06-14 修订日期：2023-09-20 |
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| 中文关键词 碳中和 网络空间关联 低碳优化 国土空间分区 甘肃省 |
| 英文关键词 carbon neutrality social network spatial relevance low-carbon optimization territorial spatial zoning Gansu Province |
| 作者 | 单位 | E-mail | | 王丽蓉 | 西北师范大学地理与环境科学学院, 兰州 730070 | 2022212977@nwnu.edu.cn | | 石培基 | 西北师范大学地理与环境科学学院, 兰州 730070
甘肃省绿洲资源环境与可持续发展重点实验室, 兰州 730070
甘肃省土地利用与综合整治工程研究中心, 兰州 730070 | shipj@nwnu.edu.cn | | 尹君锋 | 北京师范大学地理科学学部, 北京 100875
北京师范大学地表过程与资源生态国家重点实验室, 北京 100875 | 1627815859@qq.com | | 张韦萍 | 西北师范大学地理与环境科学学院, 兰州 730070 | | | 石晶 | 西北师范大学地理与环境科学学院, 兰州 730070 | | | 李雪红 | 西北师范大学地理与环境科学学院, 兰州 730070 | | | 程番苑 | 西北师范大学地理与环境科学学院, 兰州 730070 | |
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| 中文摘要 |
| 在新时代全面践行“生命共同体”整体系统观背景下,将碳中和发展目标纳入国土空间规划建设中,优化符合甘肃实际省情的国土空间格局及提出相应发展策略,对于推动区域经济社会绿色低碳转型与高质量发展具有重要意义. 以甘肃省县域为例,基于碳中和研究视角,测算分析2010年、2015年和2021年全省87个县域土地利用碳收支量,运用GIS空间分析法、社会网络分析法等方法进一步探究其时空分异特征及碳排放空间关联网络整体特征. 最后结合主体功能区划进行低碳发展导向下的国土空间优化分区,提出差异化的低碳发展策略. 结果表明： ①碳排放量呈上升趋势但增幅相对较小,空间上呈现“中部和东部高,西南低”的分布态势,建设用地是主要的碳源. 碳吸收量在空间上呈现“南高北低,西高东低”的分布特征,林地是主要的碳汇. 净碳排量呈增加趋势,省内约58.62%的县域处于碳失衡状况. ②2021年县域碳排放空间网络关系紧密且规模较大,呈现“核心-边缘”形态,城关区和七里河区处于网络核心地位,在网络中接受较多关联关系. 陇中地区网络联系频繁,陇东南地区联系次之. ③以碳排放量、碳吸收量和生态承载系数为依据,以社会网络空间关联性结果为角色定位,将全省划分为4种碳中和分区. 同时,叠加分析主体功能区划,将全省县域重构为7个国土空间分区并对各分区提出差别化区域低碳优化发展策略. |
| 英文摘要 |
| Under the background of comprehensively practicing the overall system concept of the “living community” in the new era, incorporating the carbon neutral development goal into the territorial spatial planning and construction and establishing the territorial spatial pattern and optimization strategy in line with the actual development of Gansu Province are of great significance for promoting the comprehensive green low-carbon transformation and high-quality development of regional economy and society. Taking counties in Gansu Province as an example, based on the perspective of carbon neutrality research, the land use carbon budget of 87 counties in Gansu Province in 2010, 2015, and 2021 was calculated and analyzed. GIS spatial analysis and social network analysis were used to further explore their spatial differentiation characteristics and the overall characteristics of the carbon emission spatial correlation network. At last, combined with the main function zoning, the low-carbon oriented land space optimization zoning was carried out, and differentiated low-carbon development strategies were proposed. The results were as follows： ① Carbon emissions in Gansu Province showed an upward trend, but the increase rate decreased, showing a spatial distribution of “high in the central and eastern part of the country, low in the southwest.” Construction land was the main carbon source. The carbon uptake showed a spatial distribution of “high in the south and low in the north, high in the west and low in the east.” Woodlands were the main carbon sinks. The net carbon emissions showed an increasing trend, and approximately 58.62% of the counties in the province were in a carbon imbalance situation. ② In 2021, the spatial network of county carbon emissions was closely related, showing a “core-edge” pattern. The Chenguan District and Qilihe District were in the core position of the network and received more correlation relationships in the network. The network contacts in Longzhong area were frequent, followed by the contacts in Longdongnan area. ③ Based on carbon emissions, carbon sequestration, and ecological carrying capacity coefficients and using the results of spatial correlation of social networks as role positions, the province was divided into four carbon-neutral sub-districts. At the same time, superimposed analysis of the main function zoning, the county area of the province was reconstructed into seven territorial space zones, and the differentiated regional low-carbon optimization development strategy was proposed for each zone. |
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