| 近20年重庆市主城区碳排放的时空动态演进及其重心迁移 |
| 摘要点击 2046 全文点击 462 投稿时间：2022-03-18 修订日期：2022-04-20 |
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| 中文关键词 碳排放|LISA时间路径|时空跃迁|重心迁移|重庆市主城区 |
| 英文关键词 carbon emissions|LISA time path|spatiotemporal transition|migration of gravity center|main urban area of Chongqing |
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| 中文摘要 |
| 碳排放引起全球气候变暖是各界十分关注的环境问题,对城市碳排放时空演进的动态监测是实现区域"双碳"目标的重要环节.以重庆市主城区为例,基于土地利用和能源消耗数据,在采用碳排放系数法估算出2000~2020年主城区153个乡镇街道碳排放量的基础上,运用ESTDA框架,通过LISA时间路径、时空跃迁以及标准差椭圆模型等方法,从时空交互视角分析了近20年主城区碳排放的时空动态演进及重心迁移.结果表明:①近20年主城区乡域碳排放具有显著的空间正相关性,空间趋同性呈先降后升的趋势.②近20年低、中等相对长度的乡镇街道数共计126个(占比82%),表明主城区乡域碳排放的局部空间结构具有较强的稳定性;低、中等弯曲度的乡镇街道数共计138个(占比90%),说明主城区乡域碳排放在空间依赖方向上的波动性较为稳定;协同增长类型的乡镇街道数共计113个(占比74%),表明主城区乡域碳排放格局具有较强的空间整合性.③近20年时空凝聚指数均大于70%,说明主城区乡域碳排放的局部空间关联模式和集聚特征具有较强的稳定性.④近20年主城区碳排放重心分布于106°30'43″~106°32'42″E,29°33'34″~29°35'56″N之间,重心整体上向东北方向迁移,空间分布由"西北-东南"格局转变为"东北-西南"格局.研究结果可为重庆市绿色低碳可持续发展和制定差异化减排政策提供参考,并为西部其他同类型山地城市提供借鉴. |
| 英文摘要 |
| Global warming caused by carbon emissions is an environmental issue that is of great concern to all walks of life. Dynamic monitoring of the spatiotemporal evolution of urban carbon emissions is an important part of achieving the regional double-carbon goals. Taking the main urban area of Chongqing as an example, based on the data of land use and energy consumption, this study estimated the carbon emissions of 153 townships and streets in the main urban area of Chongqing from 2000 to 2020 by using the carbon emission coefficient method. Additionally, using the ESTDA framework to pass the LISA time path, spatiotemporal transition, and the standard deviation ellipse model from the perspective of spatiotemporal interaction, the spatiotemporal dynamic evolution of carbon emissions in the main urban area and the shift in the center of gravity over the past 20 years were analyzed. The results showed that: ① in the past 20 years, the carbon emissions in the main urban and rural areas have had a significant positive spatial correlation, and the spatial convergence showed a trend of first decreasing and then increasing. ② In the past 20 years, there were 126 township streets with low and medium relative lengths (accounting for 82%), indicating that the local spatial structure of township carbon emissions in the main urban area had strong stability; the total number of township streets with low and medium curvatures was 138 (accounting for 90%), indicating that the volatility of the main urban and rural carbon emissions in the direction of spatial dependence was relatively stable; there were 113 township streets (accounting for 74%) of the synergistic growth type, indicating that the main urban and rural carbon emissions were relatively stable. The emission pattern had strong spatial integration. ③ In the past 20 years, the spatiotemporal agglomeration index was greater than 70%, indicating that the local spatial correlation pattern and agglomeration characteristics of carbon emissions in the main urban and rural areas had strong stability. 4 In the past 20 years, the center of carbon emission in the main urban area had been distributed between 106°30'43″-106°32'42″E, 29°33'34″-29°35'56″N, and the center of gravity shifted to the northeast as a whole. The spatial distribution changed from the "northwest-southeast" pattern to the "northeast-southwest" pattern. These results can provide reference for the green and low-carbon sustainable development of Chongqing and the formulation of differentiated emission reduction policies, as well as provide reference for other similar mountain cities in western China. |
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