MANAGING MANGROVE FOREST FOR CLIMATE CHANGE MITIGATION

Coastal protection is critical for managing shoreline issues caused by the coast's continuous population growth. Coastal wetland ecosystems, such as mangrove forests, have been recognized for their ability to stabilize shorelines and protect coastal communities. Mangroves' high ability...

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Main Author: Ferren, Vinsensia
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/70371
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:70371
spelling id-itb.:703712023-01-09T11:28:40ZMANAGING MANGROVE FOREST FOR CLIMATE CHANGE MITIGATION Ferren, Vinsensia Indonesia Final Project mangroves, Shallow Water Equation, wave transmission coefficient, allometric equation, aboveground biomass, carbon stock, Rhizophora apiculata, climate change mitigation INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/70371 Coastal protection is critical for managing shoreline issues caused by the coast's continuous population growth. Coastal wetland ecosystems, such as mangrove forests, have been recognized for their ability to stabilize shorelines and protect coastal communities. Mangroves' high ability to store carbon, in addition to providing significant coastal protection, is currently receiving a lot of attention in the context of climate change. In this study, we’re interested to investigate the wave-damping phenomenon caused by mangroves, in general, using a modification of linear Shallow Water Equations. The model will be solved analytically using the separation of variables approach to obtain the wave transmission coefficient. Furthermore, the model is numerically solved using a finite volume on a staggered grid. We discovered that comparing the analytical and numerical results yielded similar results, implying that the numerical scheme can closely approximate the analytical solution. In addition to that, an allometric equation will be used to estimate the aboveground biomass of different mangrove species. Later, biomass estimates for mangroves can subsequently be converted to estimates of aboveground carbon using a standard multiplier. According to the simulation conducted in this study, the wave reduction is amplified as the friction coefficient and mangrove length increase. Meanwhile, among the different mangrove species, Rhizophora apiculata was found to store relatively more above-ground biomass and carbon as a consequence of its greater DBH, which is the standard for measuring trees. This suggested that Rhizophora apiculata can store a sizable volume of carbon and therefore can be the species to prioritize in mangrove preservation to mitigate climate change. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description Coastal protection is critical for managing shoreline issues caused by the coast's continuous population growth. Coastal wetland ecosystems, such as mangrove forests, have been recognized for their ability to stabilize shorelines and protect coastal communities. Mangroves' high ability to store carbon, in addition to providing significant coastal protection, is currently receiving a lot of attention in the context of climate change. In this study, we’re interested to investigate the wave-damping phenomenon caused by mangroves, in general, using a modification of linear Shallow Water Equations. The model will be solved analytically using the separation of variables approach to obtain the wave transmission coefficient. Furthermore, the model is numerically solved using a finite volume on a staggered grid. We discovered that comparing the analytical and numerical results yielded similar results, implying that the numerical scheme can closely approximate the analytical solution. In addition to that, an allometric equation will be used to estimate the aboveground biomass of different mangrove species. Later, biomass estimates for mangroves can subsequently be converted to estimates of aboveground carbon using a standard multiplier. According to the simulation conducted in this study, the wave reduction is amplified as the friction coefficient and mangrove length increase. Meanwhile, among the different mangrove species, Rhizophora apiculata was found to store relatively more above-ground biomass and carbon as a consequence of its greater DBH, which is the standard for measuring trees. This suggested that Rhizophora apiculata can store a sizable volume of carbon and therefore can be the species to prioritize in mangrove preservation to mitigate climate change.
format Final Project
author Ferren, Vinsensia
spellingShingle Ferren, Vinsensia
MANAGING MANGROVE FOREST FOR CLIMATE CHANGE MITIGATION
author_facet Ferren, Vinsensia
author_sort Ferren, Vinsensia
title MANAGING MANGROVE FOREST FOR CLIMATE CHANGE MITIGATION
title_short MANAGING MANGROVE FOREST FOR CLIMATE CHANGE MITIGATION
title_full MANAGING MANGROVE FOREST FOR CLIMATE CHANGE MITIGATION
title_fullStr MANAGING MANGROVE FOREST FOR CLIMATE CHANGE MITIGATION
title_full_unstemmed MANAGING MANGROVE FOREST FOR CLIMATE CHANGE MITIGATION
title_sort managing mangrove forest for climate change mitigation
url https://digilib.itb.ac.id/gdl/view/70371
_version_ 1822991504557211648