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Exploration of technical models for assessing wind-induced damage risk to urban trees
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Boyang Zhou1, 2, 3, Qian Yao1, 2, 3, Jianghao Zhang1, 2, 3, Chen Lin1, 2, 3, Jian Wen1, 2, 3, *
Tree Health | 2026, 3(2) : 49 - 59
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Tree Health | 2026, 3(2): 49-59
Research paper
Exploration of technical models for assessing wind-induced damage risk to urban trees
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Boyang Zhou1, 2, 3, Qian Yao1, 2, 3, Jianghao Zhang1, 2, 3, Chen Lin1, 2, 3, Jian Wen1, 2, 3, *
Affiliations
  • School of Technology,Beijing Forestry University,Beijing 100083,China
  • State Key Laboratory of Efficient Production of Forest Resources,Beijing Forestry University,Beijing 100083,China
  • Key Laboratory of National Forestry and Grassland Administration on Forestry Equipment and Automation,Beijing Forestry University,Beijing 100083,China
Published: 2026-04-25 doi: 10.27035/j.cnki.issn2097-5279.20260206
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Wind-induced damage to urban trees during extreme weather events poses severe challenges to ecological systems, socioeconomic stability, and public safety. This study integrates Computational Fluid Dynamics (CFD), Ground Penetrating Radar (GPR), Finite Element Analysis (FEA), and a modified GALES model to propose a tree risk assessment framework combining non-destructive testing, wind field simulation, and mechanical stability assessment. By quantifying internal trunk structures and root system distributions using GPR non-destructive testing technology, combined with FEA, we proposed stability influencing factors to optimize the critical wind speed prediction model. Meanwhile, a rapid prediction model for urban micro-wind fields and wind directions was developed based on real-time meteorological data and campus geospatial information, enabling dynamic risk assessment of standing tree safety. The feasibility of this approach was validated using the Beijing Forestry University campus, a typical urban campus setting, as a case study. Results indicate that the parameterized individual tree model can accurately identify vulnerable parts of trees, thereby enhancing the accuracy of risk assessments. Tree morphological characteristics, soil parameters, and trunk defects combined with root distribution are significantly influenced by varying wind speeds and directions, which in turn affect trunk strength and root-soil anchorage capacity, ultimately impacting tree stability and safety. This research provides intuitive visualization of predictive outcomes, offering a data foundation and interdisciplinary theoretical basis for resilient urban tree management.

urban trees  /  wind-induced damage risk  /  computational fluid dynamics  /  ground penetrating radar  /  biomechanical model  /  critical wind speed
Boyang Zhou, Qian Yao, Jianghao Zhang, Chen Lin, Jian Wen. Exploration of technical models for assessing wind-induced damage risk to urban trees[J]. Tree Health, 2026 , 3 (2) : 49 -59 . DOI: 10.27035/j.cnki.issn2097-5279.20260206
Year 2026 volume 3 Issue 2
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doi: 10.27035/j.cnki.issn2097-5279.20260206
  • Receive Date:2025-12-27
  • Online Date:2026-07-30
  • Published:2026-04-25
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  • Received:2025-12-27
  • Revised:2026-02-02
  • Accepted:2026-02-03
Affiliations
    School of Technology,Beijing Forestry University,Beijing 100083,China
    State Key Laboratory of Efficient Production of Forest Resources,Beijing Forestry University,Beijing 100083,China
    Key Laboratory of National Forestry and Grassland Administration on Forestry Equipment and Automation,Beijing Forestry University,Beijing 100083,China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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