GIS Modelling for Prediction of Tsunami Inundation Areas in Coastal Areas of Malang Regency

Abstract This study utilizes Geographic Information System (GIS) modeling to predict potential tsunami inundation areas along the coastal regions of Malang Regency. The capabilities of GIS in this research integrate regional topography and land use data to model tsunami inundation scenarios accurately. The topographic modeling process employs Alos Palsar Digital Elevation Model (DEM) data, which provides detailed elevation information critical for assessing inundation risks. Three altitude scenarios 10 meters, 15 meters, and 20 meters are analyzed to gauge the extent and height of potential tsunami waves. In the 10-meter scenario, the areas most susceptible to inundation include Donomulyo, Bantur, and Gedangan, highlighting these zones as critical areas for immediate attention. As the scenario elevation increases to 15 meters, Gedangan, and Sumbermanjing Wetan emerge as the most vulnerable regions, suggesting a broader risk as tsunami wave heights escalate. The 20-meter scenario further accentuates the vulnerability of Gedangan and Sumbermanjing Wetan Districts, which exhibit the widest potential inundation areas. By identifying the most at-risk areas, this research provides valuable insights for policymakers and planners to develop targeted strategies to mitigate the impact of tsunamis. Advanced GIS modeling is a crucial tool in enhancing the preparedness and resilience of coastal communities against tsunami hazards.

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Publication Details

Journal
IOP Conference Series Earth and Environmental Science
Published
2024-10-01
DOI
https://doi.org/10.1088/1755-1315/1406/1/012017
Primary Topic
Tropical and Extratropical Cyclones Research
Type
article
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article

GIS Modelling for Prediction of Tsunami Inundation Areas in Coastal Areas of Malang Regency

Siti Nur Farihah, Shafi Noor Islam, Sumarmi Sumarmi, Risky Rena Anggia Sari et al.
IOP Conference Series Earth and Environmental Science
Tropical and Extratropical Cyclones Research
article

GIS Modelling for Prediction of Tsunami Inundation Areas in Coastal Areas of Malang Regency

Siti Nur Farihah, Shafi Noor Islam, Sumarmi Sumarmi, Risky Rena Anggia Sari, Listyo Yudha Irawan, Zunan Faruq Ardiansyah, Fajar Ahmad Dani, Imam Fadhlurahman, Muhammad Denzel Religi
article en

Abstract

Abstract This study utilizes Geographic Information System (GIS) modeling to predict potential tsunami inundation areas along the coastal regions of Malang Regency. The capabilities of GIS in this research integrate regional topography and land use data to model tsunami inundation scenarios accurately. The topographic modeling process employs Alos Palsar Digital Elevation Model (DEM) data, which provides detailed elevation information critical for assessing inundation risks. Three altitude scenarios 10 meters, 15 meters, and 20 meters are analyzed to gauge the extent and height of potential tsunami waves. In the 10-meter scenario, the areas most susceptible to inundation include Donomulyo, Bantur, and Gedangan, highlighting these zones as critical areas for immediate attention. As the scenario elevation increases to 15 meters, Gedangan, and Sumbermanjing Wetan emerge as the most vulnerable regions, suggesting a broader risk as tsunami wave heights escalate. The 20-meter scenario further accentuates the vulnerability of Gedangan and Sumbermanjing Wetan Districts, which exhibit the widest potential inundation areas. By identifying the most at-risk areas, this research provides valuable insights for policymakers and planners to develop targeted strategies to mitigate the impact of tsunamis. Advanced GIS modeling is a crucial tool in enhancing the preparedness and resilience of coastal communities against tsunami hazards.

IOP Conference Series Earth and Environmental ScienceVol. 1406(1)
State University of Malang (ID), Universiti Brunei Darussalam (BN)
Climate action
Openalex Percentile: Top 67%
Tropical and Extratropical Cyclones Research
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GIS Modelling for Prediction of Tsunami Inundation Areas in Coastal Areas of Malang Regency — Siti Nur Farihah, Shafi Noor Islam, et al. · IOP Conference Series Earth and Environmental Science (2024) | TGRS Research Map | TGRS