On the flow conditions requiring detailed geometric modeling for multiscale evaluation of coastal forests
Abstract The multiscale evaluation method is applied to assess the influence of detailed geometric modeling of trees on their macroscopic attenuation effect against tsunami-like flow. Specifically, we conduct a series of numerical flow tests (NFTs), i.e., 3D flow simulations in a local test domain (...
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Format: | Article |
Language: | English |
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SpringerOpen
2023-08-01
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Series: | Advanced Modeling and Simulation in Engineering Sciences |
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Online Access: | https://doi.org/10.1186/s40323-023-00250-2 |
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author | Reika Nomura Shinsuke Takase Shuji Moriguchi Kenjiro Terada |
author_facet | Reika Nomura Shinsuke Takase Shuji Moriguchi Kenjiro Terada |
author_sort | Reika Nomura |
collection | DOAJ |
description | Abstract The multiscale evaluation method is applied to assess the influence of detailed geometric modeling of trees on their macroscopic attenuation effect against tsunami-like flow. Specifically, we conduct a series of numerical flow tests (NFTs), i.e., 3D flow simulations in a local test domain (LTD), under various inflow conditions to evaluate the macroscopic flow characteristics in the LTD accommodating an array of either simple cylinder or detailed tree models that mimic a coastal forest. After the procedure of NFTs in the multiscale evaluation method is briefly summarized and the corresponding governing equations and analysis conditions are presented, we introduce two indices for evaluating the macroscopic flow characteristics within the framework of multiscale modeling. Based on the NFT results, we discuss how the modeling scheme for trees influences the macroscopic flow characteristics in terms of these indices and clarify the microscopic mechanisms that influence the macroscopic attenuation property. Additionally, the NFT results are compared with the experimental results to justify these discussions, and key factors are explored in terms of reproducing real phenomena. In addition, to apply the multiscale evaluation method to assess the disaster mitigation performance of various types of ecosystems in a realistic situation, we discuss under what circumstances and with what level of detail vegetation should be modeled. |
first_indexed | 2024-03-09T15:02:46Z |
format | Article |
id | doaj.art-2ec799101c194c9c991409923b890cd5 |
institution | Directory Open Access Journal |
issn | 2213-7467 |
language | English |
last_indexed | 2024-03-09T15:02:46Z |
publishDate | 2023-08-01 |
publisher | SpringerOpen |
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series | Advanced Modeling and Simulation in Engineering Sciences |
spelling | doaj.art-2ec799101c194c9c991409923b890cd52023-11-26T13:49:36ZengSpringerOpenAdvanced Modeling and Simulation in Engineering Sciences2213-74672023-08-0110112510.1186/s40323-023-00250-2On the flow conditions requiring detailed geometric modeling for multiscale evaluation of coastal forestsReika Nomura0Shinsuke Takase1Shuji Moriguchi2Kenjiro Terada3International Research Institute of Disaster Science (IRIDeS), Tohoku UniversityDepartment of Civil Engineering and Architecture, Hachinohe Institute of TechnologyInternational Research Institute of Disaster Science (IRIDeS), Tohoku UniversityInternational Research Institute of Disaster Science (IRIDeS), Tohoku UniversityAbstract The multiscale evaluation method is applied to assess the influence of detailed geometric modeling of trees on their macroscopic attenuation effect against tsunami-like flow. Specifically, we conduct a series of numerical flow tests (NFTs), i.e., 3D flow simulations in a local test domain (LTD), under various inflow conditions to evaluate the macroscopic flow characteristics in the LTD accommodating an array of either simple cylinder or detailed tree models that mimic a coastal forest. After the procedure of NFTs in the multiscale evaluation method is briefly summarized and the corresponding governing equations and analysis conditions are presented, we introduce two indices for evaluating the macroscopic flow characteristics within the framework of multiscale modeling. Based on the NFT results, we discuss how the modeling scheme for trees influences the macroscopic flow characteristics in terms of these indices and clarify the microscopic mechanisms that influence the macroscopic attenuation property. Additionally, the NFT results are compared with the experimental results to justify these discussions, and key factors are explored in terms of reproducing real phenomena. In addition, to apply the multiscale evaluation method to assess the disaster mitigation performance of various types of ecosystems in a realistic situation, we discuss under what circumstances and with what level of detail vegetation should be modeled.https://doi.org/10.1186/s40323-023-00250-2Multiscale evaluationNumerical flow testCoastal forestsAttenuation effectsGeometric modeling of treesTsunami mitigation |
spellingShingle | Reika Nomura Shinsuke Takase Shuji Moriguchi Kenjiro Terada On the flow conditions requiring detailed geometric modeling for multiscale evaluation of coastal forests Advanced Modeling and Simulation in Engineering Sciences Multiscale evaluation Numerical flow test Coastal forests Attenuation effects Geometric modeling of trees Tsunami mitigation |
title | On the flow conditions requiring detailed geometric modeling for multiscale evaluation of coastal forests |
title_full | On the flow conditions requiring detailed geometric modeling for multiscale evaluation of coastal forests |
title_fullStr | On the flow conditions requiring detailed geometric modeling for multiscale evaluation of coastal forests |
title_full_unstemmed | On the flow conditions requiring detailed geometric modeling for multiscale evaluation of coastal forests |
title_short | On the flow conditions requiring detailed geometric modeling for multiscale evaluation of coastal forests |
title_sort | on the flow conditions requiring detailed geometric modeling for multiscale evaluation of coastal forests |
topic | Multiscale evaluation Numerical flow test Coastal forests Attenuation effects Geometric modeling of trees Tsunami mitigation |
url | https://doi.org/10.1186/s40323-023-00250-2 |
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