Analysis of Tsunami Economic Loss in Tourism Areas Using High-Resolution Tsunami Run-Up Model

A tsunami can cause significant economic losses for tourism areas like Batukaras Village, which is located on the southern coast of Java Island. This paper seeks to elaborate on the calculation of economic losses in tourism areas due to damage to buildings, loss of land production, and loss of incom...

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Main Authors: Wiwin Windupranata, Alqinthara Nuraghnia, Muhammad Wahyu Al Ghifari, Sonia Kartini Pasaribu, Wiwin Indira Rakhmanisa, Tiara Vani, Kevin Agriva Ginting, Michael Bintang Aventa, Intan Hayatiningsih, Deni Suwardhi, Irwan Meilano, Iyan Eka Mulia, Albert Kristiawan Lim
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:GeoHazards
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Online Access:https://www.mdpi.com/2624-795X/6/2/18
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author Wiwin Windupranata
Alqinthara Nuraghnia
Muhammad Wahyu Al Ghifari
Sonia Kartini Pasaribu
Wiwin Indira Rakhmanisa
Tiara Vani
Kevin Agriva Ginting
Michael Bintang Aventa
Intan Hayatiningsih
Deni Suwardhi
Irwan Meilano
Iyan Eka Mulia
Albert Kristiawan Lim
author_facet Wiwin Windupranata
Alqinthara Nuraghnia
Muhammad Wahyu Al Ghifari
Sonia Kartini Pasaribu
Wiwin Indira Rakhmanisa
Tiara Vani
Kevin Agriva Ginting
Michael Bintang Aventa
Intan Hayatiningsih
Deni Suwardhi
Irwan Meilano
Iyan Eka Mulia
Albert Kristiawan Lim
author_sort Wiwin Windupranata
collection DOAJ
description A tsunami can cause significant economic losses for tourism areas like Batukaras Village, which is located on the southern coast of Java Island. This paper seeks to elaborate on the calculation of economic losses in tourism areas due to damage to buildings, loss of land production, and loss of income, based on high-resolution geospatial data. The data are derived from UAV photogrammetry surveys and high-resolution tsunami run-up models. The tsunami worst-case scenario run-off model provides an inundation area of 43 ha with 185 buildings and 24.4 ha of productive land. The estimated losses from the tsunami disaster amounted to IDR 208.79 billion, consisting of 49.63 billion from building damage, 6.73 billion from productive land, and 152.43 billion from the tourism sector. These results show that the tsunami disaster will severely affect tourism areas, because the tourism sector makes up 73% of the total economic losses. Reductions in the amount of economic loss, in addition to spatial planning near the coastline to reduce the number of impacted buildings and productive land, can be achieved by accelerating the recovery period so that economic activities after the tsunami disaster can be carried out immediately, including in the tourism sector.
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institution Kabale University
issn 2624-795X
language English
publishDate 2025-04-01
publisher MDPI AG
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series GeoHazards
spelling doaj-art-252dec1b9f60492781ace1077f82bbca2025-08-20T03:27:18ZengMDPI AGGeoHazards2624-795X2025-04-01621810.3390/geohazards6020018Analysis of Tsunami Economic Loss in Tourism Areas Using High-Resolution Tsunami Run-Up ModelWiwin Windupranata0Alqinthara Nuraghnia1Muhammad Wahyu Al Ghifari2Sonia Kartini Pasaribu3Wiwin Indira Rakhmanisa4Tiara Vani5Kevin Agriva Ginting6Michael Bintang Aventa7Intan Hayatiningsih8Deni Suwardhi9Irwan Meilano10Iyan Eka Mulia11Albert Kristiawan Lim12Hydrography Research Group, Faculty of Earth Sciences and Technology, Institut Teknologi Bandung, Bandung 40132, IndonesiaHydrography Research Group, Faculty of Earth Sciences and Technology, Institut Teknologi Bandung, Bandung 40132, IndonesiaHydrography Research Group, Faculty of Earth Sciences and Technology, Institut Teknologi Bandung, Bandung 40132, IndonesiaHydrography Research Group, Faculty of Earth Sciences and Technology, Institut Teknologi Bandung, Bandung 40132, IndonesiaHydrography Research Group, Faculty of Earth Sciences and Technology, Institut Teknologi Bandung, Bandung 40132, IndonesiaHydrography Research Group, Faculty of Earth Sciences and Technology, Institut Teknologi Bandung, Bandung 40132, IndonesiaHydrography Research Group, Faculty of Earth Sciences and Technology, Institut Teknologi Bandung, Bandung 40132, IndonesiaHydrography Research Group, Faculty of Earth Sciences and Technology, Institut Teknologi Bandung, Bandung 40132, IndonesiaHydrography Research Group, Faculty of Earth Sciences and Technology, Institut Teknologi Bandung, Bandung 40132, IndonesiaSpatial System and Cadastre Research Group, Faculty of Earth Sciences and Technology, Institut Teknologi Bandung, Bandung 40132, IndonesiaSpatial System and Cadastre Research Group, Faculty of Earth Sciences and Technology, Institut Teknologi Bandung, Bandung 40132, IndonesiaHydrography Research Group, Faculty of Earth Sciences and Technology, Institut Teknologi Bandung, Bandung 40132, IndonesiaHydrography Research Group, Faculty of Earth Sciences and Technology, Institut Teknologi Bandung, Bandung 40132, IndonesiaA tsunami can cause significant economic losses for tourism areas like Batukaras Village, which is located on the southern coast of Java Island. This paper seeks to elaborate on the calculation of economic losses in tourism areas due to damage to buildings, loss of land production, and loss of income, based on high-resolution geospatial data. The data are derived from UAV photogrammetry surveys and high-resolution tsunami run-up models. The tsunami worst-case scenario run-off model provides an inundation area of 43 ha with 185 buildings and 24.4 ha of productive land. The estimated losses from the tsunami disaster amounted to IDR 208.79 billion, consisting of 49.63 billion from building damage, 6.73 billion from productive land, and 152.43 billion from the tourism sector. These results show that the tsunami disaster will severely affect tourism areas, because the tourism sector makes up 73% of the total economic losses. Reductions in the amount of economic loss, in addition to spatial planning near the coastline to reduce the number of impacted buildings and productive land, can be achieved by accelerating the recovery period so that economic activities after the tsunami disaster can be carried out immediately, including in the tourism sector.https://www.mdpi.com/2624-795X/6/2/18run-up modeleconomic lossBatukarastsunamitourismrecovery period
spellingShingle Wiwin Windupranata
Alqinthara Nuraghnia
Muhammad Wahyu Al Ghifari
Sonia Kartini Pasaribu
Wiwin Indira Rakhmanisa
Tiara Vani
Kevin Agriva Ginting
Michael Bintang Aventa
Intan Hayatiningsih
Deni Suwardhi
Irwan Meilano
Iyan Eka Mulia
Albert Kristiawan Lim
Analysis of Tsunami Economic Loss in Tourism Areas Using High-Resolution Tsunami Run-Up Model
GeoHazards
run-up model
economic loss
Batukaras
tsunami
tourism
recovery period
title Analysis of Tsunami Economic Loss in Tourism Areas Using High-Resolution Tsunami Run-Up Model
title_full Analysis of Tsunami Economic Loss in Tourism Areas Using High-Resolution Tsunami Run-Up Model
title_fullStr Analysis of Tsunami Economic Loss in Tourism Areas Using High-Resolution Tsunami Run-Up Model
title_full_unstemmed Analysis of Tsunami Economic Loss in Tourism Areas Using High-Resolution Tsunami Run-Up Model
title_short Analysis of Tsunami Economic Loss in Tourism Areas Using High-Resolution Tsunami Run-Up Model
title_sort analysis of tsunami economic loss in tourism areas using high resolution tsunami run up model
topic run-up model
economic loss
Batukaras
tsunami
tourism
recovery period
url https://www.mdpi.com/2624-795X/6/2/18
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