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Crown feature effect evaluation on wind load for evergreen species based on laser scanning and wind tunnel experiments

The wind load a tree withstood is mainly applied to its crown, whose morphology and structure directly affect the degree of wind load given a certain wind condition. Though the features of tree crown are relatively easy to measure, however, among them which is/are the determining factor and how they...

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Autores principales: Lai, Can, Xiao, Bing, Feng, Jialang, Wang, Longyuan, Zhang, Yanjing, Sun, Yanjun, Chen, Xiaoxi, Guo, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9744728/
https://www.ncbi.nlm.nih.gov/pubmed/36509884
http://dx.doi.org/10.1038/s41598-022-25960-2
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author Lai, Can
Xiao, Bing
Feng, Jialang
Wang, Longyuan
Zhang, Yanjing
Sun, Yanjun
Chen, Xiaoxi
Guo, Wei
author_facet Lai, Can
Xiao, Bing
Feng, Jialang
Wang, Longyuan
Zhang, Yanjing
Sun, Yanjun
Chen, Xiaoxi
Guo, Wei
author_sort Lai, Can
collection PubMed
description The wind load a tree withstood is mainly applied to its crown, whose morphology and structure directly affect the degree of wind load given a certain wind condition. Though the features of tree crown are relatively easy to measure, however, among them which is/are the determining factor and how they contribute to wind load remain unknown. In order to figure out how crown features of different tree species influence the wind load, the wind tunnel experiment was performed for 7 most used urban greening tree species, and laser scanning was used to measure the accurate crown features. The results derived by multiple linear model showed (1) Ficus concinna, Dracontomelon duperreanum, Ormosia pinnata and Bischofia javanica are recommended in urban greening for suffering the smaller wind load under the same conditions, whereas Schefflera macrostachya, Acacia confusa and Khaya senegalensis are inadequate towards the view of crown features; (2) crown features like crown horizontal ratio, windward side projection and porosity ratio are important in estimating wind load. Our study demonstrated that evaluating the wind load via crown features is feasible, and provided valuable suggestion for selecting idealized decorative trees in urban environment with a smaller wind load due to the crown features.
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spelling pubmed-97447282022-12-14 Crown feature effect evaluation on wind load for evergreen species based on laser scanning and wind tunnel experiments Lai, Can Xiao, Bing Feng, Jialang Wang, Longyuan Zhang, Yanjing Sun, Yanjun Chen, Xiaoxi Guo, Wei Sci Rep Article The wind load a tree withstood is mainly applied to its crown, whose morphology and structure directly affect the degree of wind load given a certain wind condition. Though the features of tree crown are relatively easy to measure, however, among them which is/are the determining factor and how they contribute to wind load remain unknown. In order to figure out how crown features of different tree species influence the wind load, the wind tunnel experiment was performed for 7 most used urban greening tree species, and laser scanning was used to measure the accurate crown features. The results derived by multiple linear model showed (1) Ficus concinna, Dracontomelon duperreanum, Ormosia pinnata and Bischofia javanica are recommended in urban greening for suffering the smaller wind load under the same conditions, whereas Schefflera macrostachya, Acacia confusa and Khaya senegalensis are inadequate towards the view of crown features; (2) crown features like crown horizontal ratio, windward side projection and porosity ratio are important in estimating wind load. Our study demonstrated that evaluating the wind load via crown features is feasible, and provided valuable suggestion for selecting idealized decorative trees in urban environment with a smaller wind load due to the crown features. Nature Publishing Group UK 2022-12-12 /pmc/articles/PMC9744728/ /pubmed/36509884 http://dx.doi.org/10.1038/s41598-022-25960-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Lai, Can
Xiao, Bing
Feng, Jialang
Wang, Longyuan
Zhang, Yanjing
Sun, Yanjun
Chen, Xiaoxi
Guo, Wei
Crown feature effect evaluation on wind load for evergreen species based on laser scanning and wind tunnel experiments
title Crown feature effect evaluation on wind load for evergreen species based on laser scanning and wind tunnel experiments
title_full Crown feature effect evaluation on wind load for evergreen species based on laser scanning and wind tunnel experiments
title_fullStr Crown feature effect evaluation on wind load for evergreen species based on laser scanning and wind tunnel experiments
title_full_unstemmed Crown feature effect evaluation on wind load for evergreen species based on laser scanning and wind tunnel experiments
title_short Crown feature effect evaluation on wind load for evergreen species based on laser scanning and wind tunnel experiments
title_sort crown feature effect evaluation on wind load for evergreen species based on laser scanning and wind tunnel experiments
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9744728/
https://www.ncbi.nlm.nih.gov/pubmed/36509884
http://dx.doi.org/10.1038/s41598-022-25960-2
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