Evaluating urban green infrastructure for runoff reduction: A flow-based approach

IF 6 2区环境科学与生态学 Q1 ENVIRONMENTAL STUDIES

Urban Forestry & Urban Greening Pub Date : 2025-03-31 DOI:10.1016/j.ufug.2025.128799

Xueying Zhuang , Fanhua Kong , Kejing Zhou , Haiwei Yin , Yulong Ban

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引用次数: 0

Abstract

Urban green infrastructure (UGI) is widely recognized as an effective strategy for mitigating urban flood risk by reducing rainfall runoff. However, the influence of UGI configurations on surface runoff reduction, especially concerning flow paths in two- and three-dimensional (2D/3D) environments, remains underexplored. Taking Kunshan City, China, as a case, this research developed a flow-based approach to estimate the runoff reduction performance of UGI. The airborne Light Detection and Ranging (LiDAR) point cloud data were used to measure the 3D built environment indicators, including terrain characteristics and vertical vegetation structures. The Soil Conservation Service Curve Number (SCS-CN) model and the Arc-Malstrøm tool were employed to simulate surface runoff and spillover volumes along flow paths at a high spatial resolution. Additionally, the XGBoost machine learning model and interpretability methods, including SHapely Additive exPlanations (SHAP) and Partial Dependence Plots (PDP), were applied to elucidate the relationships between various 2D/3D configurations and UGI’s runoff reduction performance during specific rainfall events. The findings indicate that UGI (including forests, open spaces, orchards, and croplands) can reduce total runoff by up to 28.2 % and spillover volume by up to 48.9 %. UGI coverage had the most significant positive impact on reducing runoff (22.74%), while impervious surfaces exerted the strongest negative influence on spillover mitigation (21.63%). 3D vegetation structure, green volume and canopy coverage, also impacted runoff reduction, contributing 16.3 % and 4.4 %, respectively. Optimal runoff reduction performance was observed when UGI coverage ≥ 35 % and green volume ≥ 0.4 m³/m². This study proposes a novel approach to evaluate the influence of 2D/3D environmental factors on runoff reduction and flow paths, offering valuable insights for urban planning and guiding the implementation of UGI to enhance urban stormwater management.

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评价城市绿色基础设施减少径流：基于流量的方法

城市绿色基础设施（UGI）被广泛认为是通过减少降雨径流来缓解城市洪水风险的有效策略。然而，UGI配置对地表径流减少的影响，特别是对二维和三维（2D/3D）环境下的流动路径的影响，仍未得到充分探讨。本研究以昆山市为例，建立了基于流量的地表生态一体化减流效果评价方法。利用机载激光雷达（LiDAR）点云数据测量三维建筑环境指标，包括地形特征和垂直植被结构。采用土壤保持服务曲线数（SCS-CN）模型和Arc-Malstrøm工具，在高空间分辨率下模拟了沿流道的地表径流和溢出体积。此外，XGBoost机器学习模型和可解释性方法，包括SHapely加性解释（SHAP）和部分依赖图（PDP），应用于阐明在特定降雨事件中各种2D/3D配置与UGI径流减少性能之间的关系。研究结果表明，UGI（包括森林、空地、果园和农田）可使总径流量减少28.2% %，溢出量减少48.9% %。地表覆盖对径流减少的正向影响最大（22.74%），而不透水地表对溢出缓解的负向影响最大（21.63%）。三维植被结构、绿地体积和冠层盖度也对径流减少有影响，分别贡献16.3 %和4.4 %。当UGI覆盖度≥ 35 %、绿化体积≥ 0.4 m3/m2时，径流减少效果最佳。本研究提出了一种新的方法来评估二维/三维环境因子对径流减少和流道的影响，为城市规划提供了有价值的见解，并指导UGI的实施，以加强城市雨水管理。

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来源期刊

Urban Forestry & Urban Greening FORESTRY-

CiteScore

11.70

自引率

12.50%

发文量

289

审稿时长

70 days

期刊介绍： Urban Forestry and Urban Greening is a refereed, international journal aimed at presenting high-quality research with urban and peri-urban woody and non-woody vegetation and its use, planning, design, establishment and management as its main topics. Urban Forestry and Urban Greening concentrates on all tree-dominated (as joint together in the urban forest) as well as other green resources in and around urban areas, such as woodlands, public and private urban parks and gardens, urban nature areas, street tree and square plantations, botanical gardens and cemeteries. The journal welcomes basic and applied research papers, as well as review papers and short communications. Contributions should focus on one or more of the following aspects: -Form and functions of urban forests and other vegetation, including aspects of urban ecology. -Policy-making, planning and design related to urban forests and other vegetation. -Selection and establishment of tree resources and other vegetation for urban environments. -Management of urban forests and other vegetation. Original contributions of a high academic standard are invited from a wide range of disciplines and fields, including forestry, biology, horticulture, arboriculture, landscape ecology, pathology, soil science, hydrology, landscape architecture, landscape planning, urban planning and design, economics, sociology, environmental psychology, public health, and education.