Utilization of tsunami hazard maps to enhance mitigation plan in Lhoknga, Aceh Besar

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Afryanti Veronika Simangunsong, Muksin Umar, Haekal Azief Haridhi, Abdi Jihad, Vrieslend Haris Banyunegoro, Andi Azhar Rusdin

2025 IOP Conference Series: Earth and Environmental Science Vol. 1510 Issue 1 Conference paper Cited by 0 SDG 13SDG 17 Quartile

Abstract

Lhoknga is a region prone to tsunamis, which can threaten lives and disrupt the economic sustainability of the surrounding community. This vulnerability is due to its geographical location along the coastal area of Aceh Besar, near a subduction zone. This study aimed to assess the utilization of tsunami hazard maps that enhance the mitigation plan in Lhoknga, Aceh Besar. The tsunami hazard map was created using the Cornell Multi Grid Coupled Tsunami Model (COMCOT) software to model tsunami wave propagation based on the earthquake scenario in Aceh in 2004, with a magnitude of 9.0. In addition to the earthquake source parameter data, supporting data were used, including land cover data, elevation data (topography), and sea surface height data (bathymetry) to illustrate the underwater and terrestrial profiles influencing tsunami wave propagation. The determination of hazard zones considers population density distribution, allowing for the identification of high-risk areas with a high concentration of residents. Information on the population density within each hazard zone supports more efficient evacuation planning and focuses on resource allocation in densely populated areas. The modeling results show the Estimated Tsunami Arrival times (ETA), tsunami inundation heights, and hazard levels in various areas around Lhoknga, Aceh Besar. This study also provides concrete recommendations for strengthening community and local government preparedness for future tsunami threats. We hope that this research will contribute to the development of more effective tsunami mitigation strategies for Lhoknga, Aceh Besar. © Published under licence by IOP Publishing Ltd.

Affiliations

Department of Disaster Science, Faculty Program, Universitas Syiah Kuala, Banda Aceh, Indonesia; Meteorological Climatological and Geophysical Agency of Indonesia (BMKG), Aceh Besar, Indonesia; Tsunami Disaster and Mitigation Research Center (TDMRC), Universitas Syiah Kuala, Banda Aceh, Indonesia; Department of Physics, Faculty of Mathematics and Natural Science, Universitas Syiah Kuala, Banda Aceh, Indonesia; Department of Marine Science, Faculty of Marine and Fisheries, Universitas Syiah Kuala, Banda Aceh, Indonesia

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