基于城市土地利用碳排放源识别的国土空间规划支撑研究——以南京市为例

Study on Supporting Territorial Spatial Planning through Identification Carbon Emission Sources in Urban Land Use:A Case Study of Nanjing

文章以南京市为例,探索基于多源空间大数据“自上而下”与“自下而上”相结合的方法识别城市土地利用的碳排放源。通过自上而下地从宏观层面分析统计数据,将碳排放总量分配到城市不同区域,进而自下而上地从居民建筑、产业活动和交通等排放活动出发,计算出具体地块的碳排放。研究旨在为南京的生态空间、紧凑用地、绿色行为、结构优化、产业新城等方面提供国土空间规划支持,促进碳达峰、碳中和目标的实现。

This research takes Nanjing as a case study,investigates a method that synergizes“top-down”and“bottom-up”approaches with multi-source spatial big data to identify sources of carbon emissions from urban land use.The“top-down”approach involves macro-level analysis of statistical data to allocate the total carbon emissions to different urban regions.The“bottom-up”approach then focuses on emission activities from residential buildings,industrial activities,and transportation,enabling the calculation of carbon emissions for specific land parcels.Crucially,the study extends beyond identification,providing insights for ecological space management,promoting compact land use,encouraging green behaviors,and guiding structural optimization and industrial urban development.This method is instrumental in supporting Nanjing to achieve its carbon peak and carbon neutrality goals,offering a model for territorial spatial planning that balances development with environmental stewardship.