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探索基于资源的城市的低碳发展道路,基于场景模拟
1School of Architecture and Civil Engineering, Xihua University, Chengdu, 610039, Sichuan, China. Caoliyong_1116@163.com.
Scientific reports
|February 18, 2025
概括
基于资源的城市因其本质而面临脱碳挑战. 这项研究预测了碳排放,并探索了中国西南部18个城市的低碳发展道路,突出了定制政策需求.
科学领域:
- 环境科学 环境科学
- 城市规划 城市规划
- 能源政策 能源政策
背景情况:
- 基于资源的城市 (RBC) 具有固有的特征,阻碍了能源消耗转变和区域脱碳.
- 中国西南地区的RBC面临着巨大的压力,需要减少碳排放,同时保持经济稳定.
研究的目的:
- 为以资源为基础的城市生态系统和社会经济系统构建一个弹性指数系统.
- 使用GA-DBN-KDE算法开发一个RBC中碳排放的间隔预测模型.
- 探索差异化,城市特定的低碳发展途径,并预测中国西南地区的RBC的碳峰值时间.
主要方法:
- 开发一个弹性指数系统的资源生态系统和社会经济系统在RBCs.
- 优化突变水平算法的应用来测量城市弹性.
- 建立基于GA-DBN-KDE的碳排放间隔预测模型.
- 模拟16种场景,预测碳排放范围和"碳峰值"时间 (2023-2040年).
主要成果:
- 碳排放量和城市弹性水平在中国西南研究的RBC中都在增加.
- 该GA-DBN-KDE模型在预测碳排放间隔方面表现出很高的准确性.
- 场景模拟显示了18个城市实现碳峰值的各种途径,需要个性化策略.
结论:
- 已经建立了一个新的分析框架,用于RBC的低碳转化.
- 调查结果强调了为每个城市独特的脱碳旅程量身定制政策制定的关键需求.
- 该研究为决策者提供了科学基础,以便在RBC中实施有效的碳减排措施.
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