Tang Mingfang, Rong Yuejing, Zheng Lifu, Luo Yue, Li Kai, Fan Xin
State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.
University of Chinese Academy of Sciences, Beijing, 100049, China.
Carbon Balance Manag. 2024 Nov 30;19(1):39. doi: 10.1186/s13021-024-00285-x.
Given the increasing commitment of numerous nations to achieving future carbon neutrality, urban development planning that integrating carbon storage considerations plays a crucial role in enhancing urban carbon efficiency and promoting regional sustainable development. Previous studies have indicated that optimizing land use structure and quality is essential for regional carbon storage management. Taking the core area of Taihu Bay as study area, this study innovatively combined high-precision urban 3D data to account for the whole urban carbon pools of buildings, vegetation, soils, water. Then, multi-objective linear programming model and PLUS (Patch-generating Land Use Simulation) model were applied at patch scale to assess and compare carbon storage in various scenarios, considering both carbon storage maximization and urban development requirements.
The results were presented as follows. (1) Urban woodland carbon pool accounts for only a fraction of total carbon pool, and the role of soil and building carbon pools cannot be ignored. (2) Compared with the current situation, the carbon-growth optimized scenario will lead to the increase of total carbon storage by 38,568.31 tons. (3) Carbon-growth optimized scenario has reduced carbon storage in Woodland, Cropland, Village, Water compared to the Natural growth scenario, but has increased carbon storage in Garden plots, Street, Urban district, Town and other areas.
Therefore, we find that for fast-growing cities, rationally planning built-up areas and woodland areas can achieve the twin goals of economic development and maximizing regional carbon storage. Furthermore, the implementation of new energy policies and projects such as green roofs can help to achieve regional carbon neutrality. The study provides new insights into the accounting of carbon pools within cities and the simulation of fine-grained land use planning based on the dual objectives of carbon stock maximization and urban development.
鉴于众多国家日益致力于实现未来的碳中和，将碳储存考虑因素纳入其中的城市发展规划对于提高城市碳效率和促进区域可持续发展起着至关重要的作用。先前的研究表明，优化土地利用结构和质量对于区域碳储存管理至关重要。本研究以太湖湾核心区域为研究对象，创新性地结合高精度城市三维数据，对建筑物、植被、土壤、水体的城市碳库进行整体核算。然后，在斑块尺度上应用多目标线性规划模型和PLUS（斑块生成土地利用模拟）模型，在兼顾碳储存最大化和城市发展需求的情况下，评估和比较不同情景下的碳储存情况。
结果如下。（1）城市林地碳库仅占总碳库的一小部分，土壤和建筑碳库的作用不可忽视。（2）与现状相比，碳增长优化情景将使总碳储量增加38568.31吨。（3）与自然增长情景相比，碳增长优化情景减少了林地、农田、村庄、水体的碳储存，但增加了园地、街道、城区、城镇等区域的碳储存。
因此，我们发现对于快速发展的城市，合理规划建成区和林地可以实现经济发展和区域碳储存最大化的双重目标。此外，实施绿色屋顶等新能源政策和项目有助于实现区域碳中和。该研究为城市碳库核算以及基于碳储量最大化和城市发展双重目标的精细土地利用规划模拟提供了新的见解。
