| 基于社会网络分析法的土地利用碳收支空间关联关系演变：以重庆主城都市区为例 |
| 摘要点击 2823 全文点击 468 投稿时间：2023-08-17 修订日期：2023-11-28 |
| 查看HTML全文
查看全文 查看/发表评论 下载PDF阅读器 |
| 中文关键词 土地利用碳收支 社会网络分析法 核心-边缘结构 空间关联关系 重庆主城都市区 |
| 英文关键词 land use carbon budget social network analysis core-edge structure spatial correlation Chongqing metropolitan area |
| 作者 | 单位 | E-mail | | 罗泓然 | 重庆工商大学环境与资源学院, 重庆 400067 | 783029926@qq.com | | 周启刚 | 重庆工商大学公共管理学院, 重庆 400067 | zqg1050@126.com | | 李辉 | 重庆财经学院公共管理学院, 重庆 401320
生态环境空间信息数据挖掘与大数据集成重庆市重点实验室, 重庆 401320 | | | 伍龙江 | 重庆工商大学环境与资源学院, 重庆 400067
生态环境空间信息数据挖掘与大数据集成重庆市重点实验室, 重庆 401320 | | | 毛永发 | 重庆工商大学环境与资源学院, 重庆 400067
生态环境空间信息数据挖掘与大数据集成重庆市重点实验室, 重庆 401320 | | | 夏玉松 | 重庆工商大学环境与资源学院, 重庆 400067
生态环境空间信息数据挖掘与大数据集成重庆市重点实验室, 重庆 401320 | | | 陈芳焱 | 重庆工商大学环境与资源学院, 重庆 400067
生态环境空间信息数据挖掘与大数据集成重庆市重点实验室, 重庆 401320 | |
|
| 中文摘要 |
| 明确重庆都市区的碳收支量的时空变化,探究土地利用碳收支的空间关联关系,对实现区域“双碳”目标意义重大. 以重庆市主城都市区21个区县为研究尺度,运用IPCC清单法、 碳排放系数法、 基尼系数、 引力模型和社会网络分析法,测算了2000~2020年的重庆主城都市区的土地利用净碳排放量,得到碳收支空间关联关系. 结果表明：①20年间,重庆市主城都市区的碳收支量总体呈上升趋势,年均增长率达2.83%,空间分布呈“南北高,东西较高,中部低”的特征. ②20年间,重庆主城都市区的净碳排放空间差异状态变为高度平均,总体基尼系数降低11.42%,而重点开发区的组内差异最大. ③20年间,重庆主城都市区的土地利用碳收支空间关联网络整体结构变得稳定且复杂,网络密度和网络关联数分别上升了0.43和180,网络关联度提升为1,网络健康度提升. ④在重庆主城都市区的土地利用碳收支个体网络结构中,各个区县的度数中心度均有所增加,中心城区增加最为显著,增加了81,而中介中心度和接近中心度的下降促进了都市区内的区域协同发展和一体化进程. ⑤20年间,重庆主城都市区的净碳排放的紧密程度整体上升,核心区密度增加了0.35,核心区-边缘区的密度增加了0.34. 研究通过探索重庆市主城都市区土地利用碳收支变化及空间关联关系,明确碳收支的空间分布差异,为区域的绿色发展提供支撑. |
| 英文摘要 |
| Clarifying the temporal and spatial changes in the carbon budget in the Chongqing metropolitan area and exploring the spatial correlation of land use carbon budget are of great significance for realizing the regional “double carbon” goal. Using 21 districts and counties in Chongqing metropolitan area as the research scale, the IPCC inventory method, carbon emission coefficient method, Gini coefficient, gravity model, and social network analysis were used to estimate the net carbon emissions from land use in Chongqing metropolitan area from 2000 to 2020, and the spatial correlation of the carbon budget was obtained. The results revealed that： ① In the past 20 years, the carbon budget of the Chongqing metropolitan area showed an overall upward trend, with an average annual growth rate of 2.83%, and the spatial distribution was “higher in the north and south, higher in the east and west, and lower in the middle.” ② During the past 20 years, the spatial difference of net carbon emissions in the Chongqing metropolitan area became highly average, and the overall Gini coefficient decreased by 11.42%, whereas the intra-group difference was the largest in key development zones. ③ In the past 20 years, the overall structure of the spatial correlation network of land use carbon budget in the Chongqing metropolitan area has become stable and complex, and the network density and network correlation number have increased by 0.43 and 180, respectively, the network correlation degree has increased to 1, and the network health degree has improved. ④ In the individual network structure of land use carbon budget in the Chongqing metropolitan area, the degree centrality of each district and county has increased, and the increase in the central urban area was the most significant, with an increase of 81, whereas the decline in intermediate centrality and proximity centrality has promoted the regional coordinated development and integration process in the metropolitan area. ⑤ In the past 20 years, the density of net carbon emissions in the Chongqing metropolitan area has increased as a whole, with the density of the core area increasing by 0.35 and the density of the core-edge area increasing by 0.34. By exploring the change and spatial correlation of land use carbon budget in the Chongqing metropolitan area, this study clarified the spatial distribution difference of carbon budget and provided support for regional green development. |
|
|
|
