| 资源型城市不同功能区的碳排放差异及影响因素识别 |
| 摘要点击 112 全文点击 13 投稿时间：2024-07-02 修订日期：2024-08-28 |
| 查看HTML全文
查看全文 查看/发表评论 下载PDF阅读器 |
| 中文关键词 资源型城市 城市功能区 工矿用地 碳排放 随机森林（RF）模型 非参数检验 |
| 英文关键词 resource-based city urban functional area industrial land carbon emissions random forest （RF） model non-parametric testing method |
|
| 中文摘要 |
| 资源型城市作为中国重要的能源资源战略保障基地，当前正处于转型发展的关键期，合理控制碳排放有助于实现区域可持续性发展. 以河北省典型资源型城市武安市为例，基于多源数据融合方法识别了城市功能区差异，运用三维空间曲面插值法绘制城市碳排放空间特征，并通过随机森林（RF）模型确定不同功能区对碳排放的影响，运用非参数检验方法检验用地结构内部的碳排放差异. 结果表明：①武安市各类用地呈现多中心不规则分布，交通设施用地、公共管理和公共服务用地以及商业-居住混合用地占比最大，分别为35.3%、24.57%和20.46%；②碳排放量呈现中部高西部低的“山峰状”空间格局，碳排放高值区主要集中在建设用地类型多样，工矿用地分布广泛的区域；③工矿用地是碳排放的重要影响源，重要性程度高达66.4%，其内部烟囱和冶炼区的碳排放显著高于其他区域，同时绿色空间的减排作用已初显成效. 为能有效降低资源型城市的碳排放，长期有效的碳减排政策应包括对交通用地的合理规划，关注工矿用地周边的城市空间布局，避免高碳排放项目的集中，并且重点关注工矿用地内部用地比例合理优化和企业碳排放的实时动态监督. |
| 英文摘要 |
| 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. |
