School of Architecture and Planning, Hunan University, Changsha 410000, China.
School of Architecture, Southwest Minzu University, Chengdu 610000, China.
Ying Yong Sheng Tai Xue Bao. 2024 Feb;35(2):533-542. doi: 10.13287/j.1001-9332.202402.022.
Under the background of frequent flood disasters and stock planning challenges, clarifying the relationship and mechanism of urban green space landscape patterns and flood retention efficiency at multiple spatial scales has become a critical scientific issue in realizing the maximum flood retention efficiency of limited urban green spaces and improving the capabilities of urban flood control. We reviewed and summarized the factors, mechanisms, and scale differences in the influence of green space landscape patterns on flood retention efficacy at the urban and block scales. Based on the causes for differences in conclusions and research deficiencies, we suggested that future studies should focus on watershed-scale research and expand the investigation into three-dimensional green space landscape patterns. Additionally, attention should be paid to urban and suburban areas separately, and a set of research indices with indicative significance for the flooding process should be established for different flood-sensitive areas and block structures. These measures will help quantitatively reveal how green space landscape patterns of urban and block scales affect flooding process, providing theoretical guidance for urban planning and establishing urban flood safety patterns.
在洪涝灾害频发和水库规划挑战的背景下,明确城市绿地景观格局与滞洪效率之间的关系和作用机制,对于实现有限城市绿地的最大滞洪效率和提高城市防洪能力至关重要。本文综述和总结了城市和街区尺度上绿地景观格局对滞洪效率影响的因素、机制和尺度差异。基于结论差异的原因和研究的不足,提出未来的研究应侧重于流域尺度的研究,并扩展对三维绿地景观格局的研究。此外,应分别关注城市和郊区,并为不同的洪水敏感区域和街区结构建立一套对洪水过程具有指示意义的研究指标。这些措施将有助于定量揭示城市和街区尺度的绿地景观格局如何影响洪水过程,为城市规划和建立城市洪水安全模式提供理论指导。