Assessment of wind damage risk to urban trees through a real-time quantitative framework: a multi-disciplinary approach with a case study at Beijing Forestry University

• Amorim JH, Rodrigues V, Tavares R, Valente J, Borrego C (2013) CFD modelling of the aerodynamic effect of trees on urban air pollution dispersion. Sci Total Environ 461:541–551. https://doi.org/10.1016/j.scitotenv.2013年05月03日1

  Article CAS Google Scholar

• Ancelin P, Courbaud B, Fourcaud TY (2004) Development of an individual tree-based mechanical model to predict wind damage within forest stands. Forest Ecol Manag 203(1–3):101–121. https://doi.org/10.1016/j.foreco.2004年07月06日7

  Article Google Scholar

• Blennow K, Sallnäs O (2004) WINDA -: a system of models for assessing the probability of wind damage to forest stands within a landscape. Ecol Model 175(1):87–99. https://doi.org/10.1016/j.ecolmodel.200310009

  Article Google Scholar

• Blocken B (2015) Computational fluid dynamics for urban physics: importance, scales, possibilities, limitations and ten tips and tricks towards accurate and reliable simulations. Build Environ 91:219–245. https://doi.org/10.1016/j.buildenv.2015年02月01日5

  Article Google Scholar

• Buccolieri R, Santiago JL, Rivas E, Sanchez B (2018) Review on urban tree modelling in CFD simulations: Aerodynamic, deposition and thermal effects. Urban for Urban Gree 31:212–220. https://doi.org/10.1016/j.ufug.201803003

  Article Google Scholar

• Carpentieri M, Robins AG (2015) Influence of urban morphology on air flow over building arrays. J Wind Eng Ind Aerodyn 145:61–74. https://doi.org/10.1016/j.jweia.201506001

  Article Google Scholar

• Cavalari AA, Velasco GD, da Silva-Luz CL, Rosa AS, Waetge ADN, Barbosa ED, Biazzo FCM, Kavamura HE, da Silva CA, Silva EBDB, Locosselli GM (2024) Predicting tree failure to define roles and guidelines in risk management, a case study in Sao Paulo / Brazil. Urban for Urban Gree 91:128–181. https://doi.org/10.1016/j.ufug.2023.128181

  Article Google Scholar

• CRIWI (1982) Wood mechanical properties of main tree species in China. China Forestry Publishing House, Beijing

  Google Scholar

• Dai K, Chen SE, Luo MY, Loflin G (2017) A framework for holistic designs of power line systems based on lessons learned from Super Typhoon Haiyan. Sustain Cities Soc 35:350–364. https://doi.org/10.1016/j.scs.201708006

  Article Google Scholar

• Esperon-Rodriguez M, Tjoelker MG, Lenoir J, Baumgartner JB, Beaumont LJ, Nipperess DA, Power SA, Richard B, Rymer PD, Gallagher RV (2022) Climate change increases global risk to urban forests. Nat Clim Change 12(10):950–955. https://doi.org/10.1038/s41558-022-01465-8

  Article Google Scholar

• Finnigan J (2000) Turbulence in plant canopies. Annu Rev Fluid Mech 32(1):519–571. https://doi.org/10.1146/annurev.fluid.32.1.519

  Article Google Scholar

• Gardiner B, Stacey G, Belcher R, Wood C (1997) Field and wind tunnel assessments of the implications of respacing and thinning for tree stability. Forestry 70(3):233–252. https://doi.org/10.1093/forestry/70.3.233

  Article Google Scholar

• Gardiner B, Peltola H, Kellomäki S (2000) Comparison of two models for predicting the critical wind speeds required to damage coniferous trees. Ecol Model 129(1):1–23. https://doi.org/10.1016/s0304-3800(00)00220-9

  Article Google Scholar

• Gardiner B, Byrne K, Hale S, Kamimura K, Mitchell SJ, Peltola H, Ruel JC (2008) A review of mechanistic modelling of wind damage risk to forests. Forestry 81(3):447–463. https://doi.org/10.1093/forestry/cpn022

  Article Google Scholar

• Gardiner B, Berry P, Moulia B (2016) Review: wind impacts on plant growth, mechanics and damage. Plant Sci 245:94–118. https://doi.org/10.1016/j.plantsci.201601006

  Article CAS Google Scholar

• Gonçalves R, Linhares C, Yojo T (2023) Drag coefficient in urban trees. Trees 37(1):133–145. https://doi.org/10.1007/s00468-019-01951-1

  Article Google Scholar

• Gromke C, Blocken B (2015) Influence of avenue-trees on air quality at the urban neighborhood scale. Part II: traffic pollutant concentrations at pedestrian level. Environ Pollut 196:176–184. https://doi.org/10.1016/j.envpol.2014年10月01日5

  Article CAS Google Scholar

• Gu D, Zhao P, Chen W, Huang Y, Lu X (2021) Near real-time prediction of wind-induced tree damage at a city scale: simulation framework and case study for Tsinghua University campus. Int J Disaster Risk Reduct 53:102003. https://doi.org/10.1016/j.ijdrr.2020.102003

  Article Google Scholar

• Gu Y, Liu Y, Chen Y, Wang J (2025) Near real-time warning for urban tree destruction under coupled wind and rain loads: Prediction framework and case study. Int J Disaster Risk Reduct 127:105663. https://doi.org/10.1016/j.ijdrr.2025.105663

  Article Google Scholar

• Guo X, Gao Z, Buccolieri R, Zhang MJ, Shen JL (2021) Effect of greening on pollutant dispersion and ventilation at urban street intersections. Build Environ. https://doi.org/10.1016/j.buildenv.2021.108075

  Article Google Scholar

• He K, Wei LL, Wang BY (2024) Construction of street tree risk assessment system and empirical analysis based on non-destructive testing technologies. Front Earth Sc-Switz. https://doi.org/10.3389/feart.2024.1338316

  Article Google Scholar

• Jalkanen A, Mattila U (2000) Logistic regression models for wind and snow damage in northern Finland based on the National Forest Inventory data. For Ecol Manage 135(1–3):315–330. https://doi.org/10.1016/s0378-1127(00)00289-9

  Article Google Scholar

• Kang G, Kim JJ, Kim DJ, Choi W, Park SJ (2017) Development of a computational fluid dynamics model with tree drag parameterizations: application to pedestrian wind comfort in an urban area. Build Environ 124:209–218. https://doi.org/10.1016/j.buildenv.201708008

  Article Google Scholar

• Kang G, Kim JJ, Choi W (2020) Computational fluid dynamics simulation of tree effects on pedestrian wind comfort in an urban area. Sustain Cities Soc. https://doi.org/10.1016/j.scs.2020.102086

  Article Google Scholar

• Katul G, Albertson JD (1998) An investigation of higher-order closure models for a forested canopy. Bound-Layer Meteorol 89:47–74. https://doi.org/10.1023/A:1001509106381

  Article Google Scholar

• Keeler BL, Hamel P, McPhearson T, Hamann MH, Donahue ML, Prado KAM, Arkema KK, Bratman GN, Brauman KA, Finlay JC, Guerry AD, Hobbie SE, Johnson JA, MacDonald GK, McDonald RI, Neverisky N, Wood SA (2019) Social-ecological and technological factors moderate the value of urban nature. Nat Sustain 2(1):29–38. https://doi.org/10.1038/s41893-018-0202-1

  Article Google Scholar

• Krayenhoff ES, Santiago JL, Martilli A, Christen A, Oke TR (2015) Parametrization of drag and turbulence for urban neighbourhoods with trees. Bound-Lay Meteorol 156(2):157–189. https://doi.org/10.1007/s10546-015-0028-6

  Article Google Scholar

• Kurotani Y, Kiyota N, Kobayashi S (2001) Windbreak effect of Tsuijimatsu in Izumo Part. 2. Summaries of technical papers of annual meeting architectural institute of Japan. D-2, Environmental engineering II, Heat, moisture, thermal comfort, natural energy, air flow, ventilation, smoke exhaustion, computational fluid dynamics, indoor air quality heating, cooling and air-conditioning heat and cold sources, piping systems application of building services:745–746. https://www.aij.or.jp/paper/detail.html?productId=241654

• Li Z, Miller D, Lin J (1985) A first-order closure scheme to describe counter-gradient momentum transport in plant canopies. Bound-Lay Meteorol 33:77–83. https://doi.org/10.1007/bf00137037

  Article Google Scholar

• Li HB, Zhang XW, Li ZQ, Wen J, Tan X (2022) A review of research on tree risk assessment methods. Forests. https://doi.org/10.3390/f13101556

  Article Google Scholar

• Mahgoub AO, Ghani S (2021) Numerical and experimental investigation of utilizing the porous media model for windbreaks CFD simulation. Sustain Cities Soc. https://doi.org/10.1016/j.scs.2020.102648

  Article Google Scholar

• Massman W (1987) A comparative study of some mathematical models of the mean wind structure and aerodynamic drag of plant canopies. Bound-Lay Meteorol 40(1):179–197. https://doi.org/10.1007/bf00140075

  Article Google Scholar

• Mattheck C, Breloer H (1994) The body language of trees: a handbook for failure analysis. HMSO, London

  Google Scholar

• Mitchell SJ, Lanquaye-Opoku N, Modzelewski H, Shen Y, Stull R, Jackson P, Murphy B, Ruel JC (2008) Comparison of wind speeds obtained using numerical weather prediction models and topographic exposure indices for predicting windthrow in mountainous terrain. Forest Ecol Manag 254(2):193–204. https://doi.org/10.1016/j.foreco.2007年07月03日7

  Article Google Scholar

• Mochida A, Tabata Y, Iwata T, Yoshino H (2008) Examining tree canopy models for CFD prediction of wind environment at pedestrian level. J Wind Eng Ind Aerod 96(10–11):1667–1677. https://doi.org/10.1016/j.jweia.2008年02月05日5

  Article Google Scholar

• Moore JR, Maguire DA (2008) Simulating the dynamic behavior of Douglas-fir trees under applied loads by the finite element method. Tree Physiol 28(1):75–83. https://doi.org/10.1093/treephys/28.1.75

  Article Google Scholar

• Moore J, Gardiner B, Sellier D (2018) Tree mechanics and wind loading. Springer International Publishing, Cham

  Book Google Scholar

• Morpurgo J, Remme RP, Van Bodegom PM (2023) CUGIC: the consolidated urban green infrastructure classification for assessing ecosystem services and biodiversity. Landsc Urban Plan. https://doi.org/10.1016/j.landurbplan.2023.104726

  Article Google Scholar

• Mortensen NG, Landberg L, Rathmann O, Frank H, Troen I, Petersen E (2001) Wind atlas analysis and application program (WAsP).

• Nicoll BC, Gardiner BA, Rayner B, Peace AJ (2006) Anchorage of coniferous trees in relation to species, soil type, and rooting depth. Can J Forest Res 36(7):1871–1883. https://doi.org/10.1139/X06-072

  Article Google Scholar

• Peltola HM (2006) Mechanical stability of trees under static loads. Am J Bot 93(10):1501–1511. https://doi.org/10.3732/ajb.93.10.1501

  Article Google Scholar

• Peltola H, Kellomäki S, Väisänen H, Ikonen V-P (1999) A mechanistic model for assessing the risk of wind and snow damage to single trees and stands of Scots pine, Norway spruce, and birch. Can J Forest Res 29(6):647–661. https://doi.org/10.1139/cjfr-29-6-647

  Article Google Scholar

• Peltola H, Kellomäki S, Hassinen A, Granander M (2000) Mechanical stability of Scots pine, Norway spruce and birch: an analysis of tree-pulling experiments in Finland. Forest Ecol Manag 135(1–3):143–153. https://doi.org/10.1016/s0378-1127(00)00306-6

  Article Google Scholar

• Saaroni H, Amorim JH, Hiemstra JA, Pearlmutter D (2018) Urban Green Infrastructure as a tool for urban heat mitigation: survey of research methodologies and findings across different climatic regions. Urban Clim 24:94–110. https://doi.org/10.1016/j.uclim.201802001

  Article Google Scholar

• Santiago JL, Rivas E, Sanchez B, Buccolieri R, Martin F (2017) The impact of planting trees on NOx concentrations: the case of the Plaza de la Cruz neighborhood in Pamplona (Spain). Atmosphere Basel 8(7):131. https://doi.org/10.3390/atmos8070131

  Article CAS Google Scholar

• Säumel I, Weber F, Kowarik I (2016) Toward livable and healthy urban streets: roadside vegetation provides ecosystem services where people live and move. Environ Sci Policy 62:24–33. https://doi.org/10.1016/j.envsci.2015年11月01日2

  Article Google Scholar

• Schmidlin TW (2009) Human fatalities from wind-related tree failures in the United States, 1995-2007. Nat Hazards 50(1):13–25. https://doi.org/10.1007/s11069-008-9314-7

  Article Google Scholar

• Silver A, Jackson SAM (2023) Public attention during hurricanes florence and Michael. Weather Clim Soc 15(2):425–435. https://doi.org/10.1175/Wcas-D-22-0090.1

  Article Google Scholar

• Talkkari A, Peltola H, Kellomäki S, Strandman H (2000) Integration of component models from the tree, stand and regional levels to assess the risk of wind damage at forest margins. For Ecol Manage 135(1–3):303–313. https://doi.org/10.1016/s0378-1127(00)00288-7

  Article Google Scholar

• Tsugawa S, Teratsuji K, Okura F, Noshita K, Tateno M, Zhang JY, Demura T (2022) Exploring the mechanical and morphological rationality of tree branch structure based on 3D point cloud analysis and the finite element method. Sci Rep. https://doi.org/10.1038/s41598-022-08030-5

  Article Google Scholar

• United Nations (2018) World urbanization prospects: the 2018 revision, key facts. https://population.un.org/wup/assets/WUP2018-KeyFacts.pdf

• Valinger E, Fridman J (1997) Modelling probability of snow and wind damage in Scots pine stands using tree characteristics. For Ecol Manage 97(3):215–222. https://doi.org/10.1016/s0378-1127(97)00062-5

  Article Google Scholar

• van Haaften MA, Meuwissen MPM, Gardebroek C, Kopinga J (2016) Trends in financial damage related to urban tree failure in the Netherlands. Urban for Urban Gree 15:15–21. https://doi.org/10.1016/j.ufug.201511002

  Article Google Scholar

• Vojácková B, Tippner J, Horácek P, Sebera V, Praus L, Marík R, Brabec M (2021) The effect of stem and root-plate defects on the tree response during static loading-numerical analysis. Urban for Urban Gree. https://doi.org/10.1016/j.ufug.2021.127002

  Article Google Scholar

• Weiss M, Baret F, Smith GJ, Jonckheere I, Coppin P (2004) Review of methods for in situ leaf area index (LAI) determination Part II. Estimation of LAI, errors and sampling. Agr Forest Meteorol 121(1–2):37–53. https://doi.org/10.1016/j.agrformet.200308001

  Article Google Scholar

• Yang M, Défossez P, Danjon F, Fourcaud T (2014) Tree stability under wind: simulating uprooting with root breakage using a finite element method. Ann Bot Lond 114(4):695–709. https://doi.org/10.1093/aob/mcu122

  Article Google Scholar

• Yang M, Défossez P, Dupont S (2020) A root-to-foliage tree dynamic model for gusty winds during windstorm conditions. Agr Forest Meteorol. https://doi.org/10.1016/j.agrformet.2020.107949

  Article Google Scholar

• Yun QQ (2016) Beijing Forestry University campus plant guidebook. China Forestry Publishing House, Beijing

  Google Scholar

• Zeng HC, Pukkala T, Peltola H (2007) The use of heuristic optimization in risk management of wind damage in forest planning. Forest Ecol Manag 241(1–3):189–199. https://doi.org/10.1016/j.foreco.2007年01月01日6

  Article Google Scholar

• Zeng FX, Lei CW, Liu JL, Niu JL, Gao NP (2020) CFD simulation of the drag effect of urban trees: Source term modification method revisited at the tree scale. Sustain Cities Soc. https://doi.org/10.1016/j.scs.2020.102079

  Article Google Scholar

• Zhou ZJ, Fu JH, Xiao YQ (2024) Risk of wind destruction to urban trees: Prediction workflow and relative importance of influencing factors. Sustain Cities Soc. https://doi.org/10.1016/j.scs.2024.105600

  Article Google Scholar

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