Zhang Ya-Ping, Zhang Jian-Jun, Su Jia-Jia, Dai Yi-Xin, Liang Sen, Chen Tian-Yi
School of Land Science and Technology, China University of Geosciences (Beijing), Beijing 100083, China.
Key Laboratory of Land Consolidation and Rehabilitation, Ministry of Natural Resources, Beijing 100035, China.
Huan Jing Ke Xue. 2025 Jul 8;46(7):4110-4118. doi: 10.13227/j.hjkx.202407017.
Resource-based cities， as an important strategic support base for energy resources in China， are currently in a critical period of transformation and development. Reasonable control of carbon emissions is conducive to achieving regional sustainable development. Taking Wuan， a typical resource-based city in Hebei Province， as an example， the differences in urban functional areas were identified based on the combination of multi-source data. Three-dimensional spatial surface interpolation method was used to identify the spatial characteristics of urban carbon emissions. Random forest （RF） model was used to determine the impact of different functional areas on carbon emissions. The differences in carbon emissions within the land structure were determined using a non-parametric testing method. The results showed that： ① All types of construction land in Wu'an showed a multi-center irregular distribution， and the land use for transportation facilities， public management and public service， and commercial-residential mixed land accounted for the largest proportion， with contributions of 35.3%， 24.57%， and 20.46%， respectively. ② The spatial pattern of carbon emissions was higher in the middle and lower areas in the west of the city， as a "mountain-like" spatial distribution. The areas with high carbon emissions were mainly concentrated in the areas with diverse types of construction land and wide distribution of industrial land. ③ Industrial land was an important source of carbon emissions， with the importance as high as 66.4%. The carbon emissions of chimneys and smelting areas in industrial land were significantly higher than those in other areas， and green space played a role in carbon emission reduction. To effectively reduce the carbon emission of resource-based cities， long-term and effective carbon emission reduction policies should include reasonable planning of transportation land， paying attention to urban space layout around industrial land， avoiding the concentration of high-carbon emission projects， and focusing on reasonable optimization of the proportion of land used in industrial land and real-time dynamic monitoring of corporate carbon emissions.
资源型城市作为我国能源资源的重要战略支撑基地，目前正处于转型发展的关键时期。合理控制碳排放有利于实现区域可持续发展。以河北省典型资源型城市武安为例，基于多源数据的结合识别城市功能区差异。采用三维空间表面插值法识别城市碳排放的空间特征。利用随机森林（RF）模型确定不同功能区对碳排放的影响。采用非参数检验方法确定土地结构内碳排放的差异。结果表明：①武安各类建设用地呈多中心不规则分布，交通设施、公共管理与公共服务、商住混合用地占比最大，分别占35.3%、24.57%和20.46%。②碳排放空间格局为城市西部中下部较高，呈“山状”空间分布。碳排放高值区主要集中在建设用地类型多样、工业用地分布广泛的区域。③工业用地是碳排放的重要来源，重要性高达66.4%。工业用地中的烟囱和冶炼区碳排放明显高于其他区域，绿地起到了碳排放削减作用。为有效降低资源型城市的碳排放，长期有效的碳排放政策应包括合理规划交通用地，关注工业用地周边城市空间布局，避免高碳排放项目集中，注重合理优化工业用地占比及企业碳排放实时动态监测。
