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Parameterization of Mangrove Root Structure of Rhizophora stylosa in Coastal Hydrodynamic Model

Nobuhito Mori, Che-Wei Chang, Tomomi Inoue, Yasuaki Akaji, Ko Hinokidani, Shigeyuki Baba, Masashi Takagi, Sotaro Mori, Hironoshin Koike, Miho Miyauchi, Ryosuke Suganuma, Audrius Sabunas, Takuya Miyashita, Tomoya Shimura

Frontiers in Built Environment, Volume: 7, Start page: 782219

Swansea University Author: Nobuhito Mori

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Abstract

Mangroves are able to attenuate tsunamis, storm surges, and waves. Their protective function against wave disasters is gaining increasing attention as a typical example of the green infrastructure/Eco-DRR (Ecosystem-based Disaster Risk Reduction) in coastal regions. Hydrodynamic models commonly empl...

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Published in: Frontiers in Built Environment
ISSN: 2297-3362
Published: Frontiers Media SA 2022
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URI: https://cronfa.swan.ac.uk/Record/cronfa59236
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The well-known Morison-type formula (Morison et al. 1950) has been considered appropriate to model vegetation-induced resistance in which the information of the geometric properties of mangroves, including the root system, is needed. However, idealized vegetation configurations mainly were applied in the existing numerical models, and only a few field observations provided the empirical parameterization of the complex mangrove root structures. In this study, we conducted field surveys on the Iriomote Island of Okinawa, Japan, and Tarawa, Kiribati. We measured the representative parameters for the geometric properties of mangroves, Rhizophora stylosa, and their root system. By analyzing the data, significant correlations for hydrodynamic modeling were found among the key parameters such as the trunk diameter at breast height (DBH), the tree height H, the height of prop roots, and the projected areas of the root system. 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spelling 2022-02-04T12:51:04.9979248 v2 59236 2022-01-25 Parameterization of Mangrove Root Structure of Rhizophora stylosa in Coastal Hydrodynamic Model 2cab1605807300324c85b4ec1a1a93c6 Nobuhito Mori Nobuhito Mori true false 2022-01-25 FGSEN Mangroves are able to attenuate tsunamis, storm surges, and waves. Their protective function against wave disasters is gaining increasing attention as a typical example of the green infrastructure/Eco-DRR (Ecosystem-based Disaster Risk Reduction) in coastal regions. Hydrodynamic models commonly employed additional friction or a drag forcing term to represent mangrove-induced energy dissipation for simplicity. The well-known Morison-type formula (Morison et al. 1950) has been considered appropriate to model vegetation-induced resistance in which the information of the geometric properties of mangroves, including the root system, is needed. However, idealized vegetation configurations mainly were applied in the existing numerical models, and only a few field observations provided the empirical parameterization of the complex mangrove root structures. In this study, we conducted field surveys on the Iriomote Island of Okinawa, Japan, and Tarawa, Kiribati. We measured the representative parameters for the geometric properties of mangroves, Rhizophora stylosa, and their root system. By analyzing the data, significant correlations for hydrodynamic modeling were found among the key parameters such as the trunk diameter at breast height (DBH), the tree height H, the height of prop roots, and the projected areas of the root system. We also discussed the correlation of these representative factors with the tree age. These empirical relationships are summarized for numerical modeling at the end. Journal Article Frontiers in Built Environment 7 782219 Frontiers Media SA 2297-3362 mangrove, prop roots, Rhizophora stylosa, root structure, parameterization 4 1 2022 2022-01-04 10.3389/fbuil.2021.782219 COLLEGE NANME Science and Engineering - Faculty COLLEGE CODE FGSEN Swansea University This research was supported by the Environment Research and Technology Development Fund JPMEERF20172012 and the Climate Adaptation Program in NIES and JSPS Grant-in-Aid for Scientific Research (Kakenhi) 20KK0095, and JST/JICA SATREPS Indonesia 2022-02-04T12:51:04.9979248 2022-01-25T10:40:25.7294496 Faculty of Science and Engineering School of Engineering and Applied Sciences - Uncategorised Nobuhito Mori 1 Che-Wei Chang 2 Tomomi Inoue 3 Yasuaki Akaji 4 Ko Hinokidani 5 Shigeyuki Baba 6 Masashi Takagi 7 Sotaro Mori 8 Hironoshin Koike 9 Miho Miyauchi 10 Ryosuke Suganuma 11 Audrius Sabunas 12 Takuya Miyashita 13 Tomoya Shimura 14 59236__22209__95cf3a96f50f4ac4b65f66b0b8b693ca.pdf fbuil-07-782219.pdf 2022-01-25T10:40:25.7289232 Output 2229920 application/pdf Version of Record true © 2022 Mori, Chang, Inoue, Akaji, Hinokidani, Baba, Takagi, Mori, Koike, Miyauchi, Suganuma, Sabunas, Miyashita and Shimura. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY) true eng http://creativecommons.org/licenses/by/4.0/
title Parameterization of Mangrove Root Structure of Rhizophora stylosa in Coastal Hydrodynamic Model
spellingShingle Parameterization of Mangrove Root Structure of Rhizophora stylosa in Coastal Hydrodynamic Model
Nobuhito Mori
title_short Parameterization of Mangrove Root Structure of Rhizophora stylosa in Coastal Hydrodynamic Model
title_full Parameterization of Mangrove Root Structure of Rhizophora stylosa in Coastal Hydrodynamic Model
title_fullStr Parameterization of Mangrove Root Structure of Rhizophora stylosa in Coastal Hydrodynamic Model
title_full_unstemmed Parameterization of Mangrove Root Structure of Rhizophora stylosa in Coastal Hydrodynamic Model
title_sort Parameterization of Mangrove Root Structure of Rhizophora stylosa in Coastal Hydrodynamic Model
author_id_str_mv 2cab1605807300324c85b4ec1a1a93c6
author_id_fullname_str_mv 2cab1605807300324c85b4ec1a1a93c6_***_Nobuhito Mori
author Nobuhito Mori
author2 Nobuhito Mori
Che-Wei Chang
Tomomi Inoue
Yasuaki Akaji
Ko Hinokidani
Shigeyuki Baba
Masashi Takagi
Sotaro Mori
Hironoshin Koike
Miho Miyauchi
Ryosuke Suganuma
Audrius Sabunas
Takuya Miyashita
Tomoya Shimura
format Journal article
container_title Frontiers in Built Environment
container_volume 7
container_start_page 782219
publishDate 2022
institution Swansea University
issn 2297-3362
doi_str_mv 10.3389/fbuil.2021.782219
publisher Frontiers Media SA
college_str Faculty of Science and Engineering
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hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Engineering and Applied Sciences - Uncategorised{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Uncategorised
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description Mangroves are able to attenuate tsunamis, storm surges, and waves. Their protective function against wave disasters is gaining increasing attention as a typical example of the green infrastructure/Eco-DRR (Ecosystem-based Disaster Risk Reduction) in coastal regions. Hydrodynamic models commonly employed additional friction or a drag forcing term to represent mangrove-induced energy dissipation for simplicity. The well-known Morison-type formula (Morison et al. 1950) has been considered appropriate to model vegetation-induced resistance in which the information of the geometric properties of mangroves, including the root system, is needed. However, idealized vegetation configurations mainly were applied in the existing numerical models, and only a few field observations provided the empirical parameterization of the complex mangrove root structures. In this study, we conducted field surveys on the Iriomote Island of Okinawa, Japan, and Tarawa, Kiribati. We measured the representative parameters for the geometric properties of mangroves, Rhizophora stylosa, and their root system. By analyzing the data, significant correlations for hydrodynamic modeling were found among the key parameters such as the trunk diameter at breast height (DBH), the tree height H, the height of prop roots, and the projected areas of the root system. We also discussed the correlation of these representative factors with the tree age. These empirical relationships are summarized for numerical modeling at the end.
published_date 2022-01-04T04:16:23Z
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