中国城市林业2026，Vol.24Issue(1)：165-175,11.DOI:10.12169/zgcsly.2026.01.04.0001
从平面到立体:景观格局对风灾的影响
From Planar to Three-Dimensional:Analyzing the Impact of Landscape Patterns on Wind Disasters via Machine Learning
摘要
Abstract
[Objective]To compare the explanatory differences between two-dimensional and three-dimensional landscape patterns for urban windstorm damage,identify key drivers and scale effects,and provide quantitative evidence for wind-disaster mitigation in dense coastal cities.[Method]Taking Shanghai as the study area,this study developed a landscape pattern indicator system integrating two-dimensional and three-dimensional characteristics.Multi-scale comparative analysis,Pearson correlation analysis,and random forest models were used to identify the key landscape pattern indicators affecting windstorm damage and clarify their scale dependence and spatial differentiation.[Result]Three-dimensional indicators showed stronger overall explanatory power for windstorm damage than two-dimensional indicators.Volumetric density(VD)contributed the most,while building density(BD)was the most important two-dimensional indicator.High VD combined with high BD corresponded to higher marginal contributions,and elevation moderated the effect of VD.The optimal analysis scale was 4 km,and VD>0.45 and BD>0.35 were identified as key risk thresholds.[Conclusion]The spatial differentiation of windstorm damage is mainly shaped by the urban three-dimensional landscape pattern,with effects showing scale dependence,nonlinear characteristics,and synergistic interactions among key factors.This study clarifies the main role of three-dimensional landscape patterns in windstorm risk,supports the shift of urban disaster-prevention planning from a planar to a volumetric perspective,and provides direct scientific support for resilience-oriented spatial planning in high-density coastal cities.关键词
三维景观格局/机器学习/大风灾情/尺度效应Key words
three-dimensional landscape pattern/machine learning/windstorm damage/scale effect引用本文复制引用
戴代新,刘欣妍..从平面到立体:景观格局对风灾的影响[J].中国城市林业,2026,24(1):165-175,11.基金项目
2025年度国家外国专家个人类项目(面向生态防灾减灾的城市绿色基础设施灾害韧性评价方法国际经验借鉴) （面向生态防灾减灾的城市绿色基础设施灾害韧性评价方法国际经验借鉴）
