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This final project describes the projection of inundation areas due to sea level rise, land subsidence, and flood in the period of 2003 up to 2050 based on inundation model simulation. Geographic information system was applied to develop model simulation, which is uses spatial data analysis....

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Main Author: SUCIATI (NIM 129 03 005); Pembimbing 1: Prof. Safwan Hadi, Ph. D; Pembimbing 2: Ivonne M. Radj, PUTRI
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/16871
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:16871
spelling id-itb.:168712017-09-27T11:47:23Z#TITLE_ALTERNATIVE# SUCIATI (NIM 129 03 005); Pembimbing 1: Prof. Safwan Hadi, Ph. D; Pembimbing 2: Ivonne M. Radj, PUTRI Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/16871 This final project describes the projection of inundation areas due to sea level rise, land subsidence, and flood in the period of 2003 up to 2050 based on inundation model simulation. Geographic information system was applied to develop model simulation, which is uses spatial data analysis. <br /> <br /> <br /> The data which were used in this final project were mean sea level, land subsidence rate, and flood data. The mean sea level data were obtained from Permanent Service Mean Sea Level (PSMSL) England and Bakosurtanal with the range of observation strating from 1925 to 1997. The land subsidence data were obtained from Abidin (2005) which derived from monitoring Bench Mark (BM) and Geodetic Monitoring System from 1997 to 2005. The flood data were obtained from Pratiwo (2004). <br /> <br /> <br /> Prediction of inundation areas was carried out by applying inundation model based on Digital Elevation Model (DEM). The inundation model was used to simulate the potential inundated areas from the year 2003 up to 2050 which was divided into four scenarios. The first scenario used the trend of mean sea level rise with linier regresion method (minimum: 0.25 cm/year; average: 0.57 cm/year; maximum: 1 cm/year). The second scenario used the trend of mean sea level rise from local IPCC prediction for Indonesia. The third scenario used the combination of the trend of mean sea level rise with linier regresion method with land subsidence from Abidin research (2005). The fourth scenario used the combination of the trend of mean sea level rise with linier regresion method with land subsidence and flood data. <br /> <br /> <br /> The results of inundation model for first, second, third, and fourth scenarios show that inundated areas are Cilincing, Koja, Kelapa Gading, Tanjung Priok, Pademangan, and Penjaringan districts. Penjaringan is the most inundated area. <br /> <br /> 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 This final project describes the projection of inundation areas due to sea level rise, land subsidence, and flood in the period of 2003 up to 2050 based on inundation model simulation. Geographic information system was applied to develop model simulation, which is uses spatial data analysis. <br /> <br /> <br /> The data which were used in this final project were mean sea level, land subsidence rate, and flood data. The mean sea level data were obtained from Permanent Service Mean Sea Level (PSMSL) England and Bakosurtanal with the range of observation strating from 1925 to 1997. The land subsidence data were obtained from Abidin (2005) which derived from monitoring Bench Mark (BM) and Geodetic Monitoring System from 1997 to 2005. The flood data were obtained from Pratiwo (2004). <br /> <br /> <br /> Prediction of inundation areas was carried out by applying inundation model based on Digital Elevation Model (DEM). The inundation model was used to simulate the potential inundated areas from the year 2003 up to 2050 which was divided into four scenarios. The first scenario used the trend of mean sea level rise with linier regresion method (minimum: 0.25 cm/year; average: 0.57 cm/year; maximum: 1 cm/year). The second scenario used the trend of mean sea level rise from local IPCC prediction for Indonesia. The third scenario used the combination of the trend of mean sea level rise with linier regresion method with land subsidence from Abidin research (2005). The fourth scenario used the combination of the trend of mean sea level rise with linier regresion method with land subsidence and flood data. <br /> <br /> <br /> The results of inundation model for first, second, third, and fourth scenarios show that inundated areas are Cilincing, Koja, Kelapa Gading, Tanjung Priok, Pademangan, and Penjaringan districts. Penjaringan is the most inundated area. <br /> <br />
format Final Project
author SUCIATI (NIM 129 03 005); Pembimbing 1: Prof. Safwan Hadi, Ph. D; Pembimbing 2: Ivonne M. Radj, PUTRI
spellingShingle SUCIATI (NIM 129 03 005); Pembimbing 1: Prof. Safwan Hadi, Ph. D; Pembimbing 2: Ivonne M. Radj, PUTRI
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author_facet SUCIATI (NIM 129 03 005); Pembimbing 1: Prof. Safwan Hadi, Ph. D; Pembimbing 2: Ivonne M. Radj, PUTRI
author_sort SUCIATI (NIM 129 03 005); Pembimbing 1: Prof. Safwan Hadi, Ph. D; Pembimbing 2: Ivonne M. Radj, PUTRI
title #TITLE_ALTERNATIVE#
title_short #TITLE_ALTERNATIVE#
title_full #TITLE_ALTERNATIVE#
title_fullStr #TITLE_ALTERNATIVE#
title_full_unstemmed #TITLE_ALTERNATIVE#
title_sort #title_alternative#
url https://digilib.itb.ac.id/gdl/view/16871
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