[Carbon Emission Difference and Influencing Factors Identification in Different Functional Areas of Resource-based...

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.