优化城市绿地利用碳捕获和生态连接的决策支持模型来优化城市绿地
Hyemee Hwang1, Daseul Kim1, Sanghyuck Kim2
1Department of Landscape Architecture and Rural Systems Engineering, College of Agriculture and Life Sciences, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea.
Journal of environmental management
|May 4, 2025
概括
优化城市绿地 (UGS) 需要平衡多个目标. 本研究提出了一个模型,可以将生态连接性提高7.57%,同时达到碳和预算目标,帮助可持续的城市规划.
科学领域:
- 城市生态学 城市生态学
- 环境规划 环境规划
- 决策科学科学 决策科学
背景情况:
- 城市绿地 (UGS) 对城市的生态健康和人类福祉至关重要.
- 由于空间限制和利益相关者的需求,平衡UGS的多种功能是具有挑战性的.
- 综合规划对于最大限度地利用UGS的好处至关重要.
研究的目的:
- 引入一个多目标决策支持模型,以优化UGS规划.
- 同时解决碳封存,生态连接和UGS开发中的成本限制.
- 提供一个框架,在城市绿色空间战略中平衡竞争目标.
主要方法:
- 开发一个结合多个目标的决策支持模型.
- 应用非主导排序基因算法II (NSGA-II) 来识别帕雷托最佳解决方案.
- 模拟和验证用于UGS规划的最佳场景.
主要成果:
- 该模型在生态连接方面实现了7.57%的改进.
- 碳减排和预算目标与连接性改进同时实现.
- 该研究表明,在UGS数量和战略配置之间有效平衡权衡.
结论:
- 决策支持框架可以快速模拟和验证UGS规划场景.
- 它为平衡UGS开发中的竞争目标提供了科学基础.
- 该方法通过优化UGS的好处来促进可持续的城市环境.
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