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中国的经济增长和碳排放减少的协同作用:将MFLP和PLUS模型结合起来,以优化领土空间功能模式的途径

Jing Qin¹, Dinghua Ou², Ziheng Yang¹

¹College of Resources, Sichuan Agricultural University, Chengdu 611130, Sichuan, China.

The Science of the total environment

|March 28, 2024

概括

优化领土空间功能模式 (TSFP) 有助于中国实现经济增长,同时减少碳排放. 这种方法为可持续发展和缓解全球变暖提供了新的途径.

科学领域:

环境科学与政策
城市和区域规划城市和区域规划
可持续发展可持续发展可持续发展

背景情况:

中国的经济增长与碳排放增加有关,这对全球变暖减缓努力构成了挑战.
为了满足中国的发展需求,控制经济增长以减少排放是不可行的.
领地空间功能模式 (TSFP) 被认为是平衡经济发展和减少碳排放的空间工具,但其优化仍然是一个悬而未决的问题.

研究的目的:

制定和验证一个优化TSFP的决策框架,以促进中国的经济增长和减少碳排放.
提供一种新的方法来解决经济发展与环境可持续性之间的冲突.
为面临类似挑战的类似发展中国家提供政策影响.

主要方法:

提出了一个结合多目标模糊线性编程和补丁生成土地利用模拟模型的决策框架.
该框架被应用于谷市,作为一个案例研究,以证明其可靠性和有效性.
用时空合分析来评估TSFP与经济增长和碳排放减少的协同状态之间的关系.

主要成果:

在TSFP和协同状态之间发现了显著的时空合 (q ≥ 0.8220),证实了该方法的理论基础.
针对2025年和2030年来市的优化TSFP显示了城市,农村和生态区域的不同空间分布.
优化的TSFP导致碳排放强度降低 (0.7至4.7/百万元),并实现了经济增长与碳排放的脱 (脱指数为0.25和0.21).

结论:

优化TSFP是一种已被证明有效的战略,用于促进经济增长和减少碳排放.
制定的决策框架为实现中国可持续发展提供了切实可行的途径.
这些发现为协调发展中国家的经济增长和碳排放提供了宝贵的政策见解.

关键词:

减少碳排放减少碳排放多目标模糊线性编程多目标模糊线性编程协同发展路径协同发展路径领地空间优化领地空间优化补丁生成的土地使用模拟模型模型.

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