双碳目标下城市空间碳固存与增汇路径研究

Research on the Path of Carbon Fixation and Carbon Sink in Urban Space under Dual Carbon Target

目的 以城市空间碳增汇为目标,探索城市复合碳汇空间综合固碳机制,提出相应的空间优化方法,构建低碳城市空间规划方法体系。方法 依托多源数据,构建城市碳源碳汇时空数据库,运用熵权-TOPSIS模型,对当前城市空间固碳效能进行评价,揭示城市复合碳汇空间固碳效能格局;运用耦合协调模型结合回归分析,识别人工-自然碳汇空间固碳效能耦合协调关键空间驱动因子,探明城市复合碳汇空间固碳效能空间影响机制;利用OLS-GWR模型,明确各环境因素影响程度的空间差异,探明城市复合碳汇空间固碳效能环境影响机制。结果 最终根据机制研究结果,探讨增汇目标下的多尺度空间优化方法,从而引导城市空间的合理布局。结论 研究能够形成空间评价-机制研究-空间优化的系统规划方法,为城市低碳发展和碳中和目标的实现提供科学依据。

How to effectively utilize the carbon sequestration capacity of urban space and improve the carbon sequestration efficiency of urban composite carbon sink space has become an urgent problem that needs to be solved.Exploring the comprehensive carbon sequestration mechanism of urban composite carbon sinks with the goal of increasing carbon sequestration in urban space,proposing corresponding spatial optimization methods,and constructing a low-carbon urban spatial planning method system.The method relies on multi-source data to construct a spatiotemporal database of urban carbon sources and carbon sinks.The entropy weight TOPSIS model is used to evaluate the current urban spatial carbon sequestration efficiency and reveal the pattern of urban composite carbon sink spatial carbon sequestration efficiency;Using a coupling coordination model combined with regression analysis,identify the key spatial driving factors for the coupling coordination of carbon sequestration efficiency between artificial and natural carbon sinks,and explore the spatial impact mechanism of carbon sequestration efficiency in urban composite carbon sinks;Using the OLS-GWR model,clarify the spatial differences in the degree of influence of various environmental factors,and explore the environmental impact mechanism of carbon sequestration efficiency in urban composite carbon sinks.Based on the research results of the mechanism,the multi-scale spatial optimization methods under the goal of increasing sinks were explored to guide the rational layout of urban space.Research can form a systematic planning method of spatial evaluation mechanism research spatial optimization,providing scientific basis for the achievement of urban low-carbon development and carbon neutrality goals.