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Estimating tidal inundation in the aftermath of the 2018 Palu earthquake

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Abstract

Disasters broadly impact livelihood and the environment. Interrelated disasters cause significant casualties and loss because each type of disaster contributes to a series of impacts. An example of multiple disaster events in Indonesia is the 2018 Palu earthquake. This earthquake triggered tsunami, liquefaction, and rupture. Many studies on this earthquake only focused on either earthquake, tsunami, or liquefaction without conducting further impact analysis of a combined hazard. This study aimed to estimate tidal inundation in Palu City based on the deformation rate related to the earthquake and sea level rise. Synthetic Aperture Radar (SAR) data were processed with Parallel Small Baseline Subset Interferometry (P-SBAS) to produce a deformation rate using the Geohazard Exploitation Platform (GEP). This rate was then combined with DEMNAS data and modelled sea level to determine the spatial distribution of potential tidal inundation. The results indicated that when the Palu-Koro fault remains active, this activity could generate a tidal flood in 2050 and 2100. Flood prediction scenarios suggested that the impact covers central Palu, i.e., Palu Barat and Palu Timur districts, which is almost one-fifth of the research area. Mitigation has taken place through the construction of coastal dikes, except in a few areas.

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Acknowledgements

This research was supported by the Remote Sensing Research Centre – National Agency of Research and Innovation. Research Funding was obtained from the Ministry of Education, Culture, Research, and Technology, the Republic of Indonesia. Access to the GEP platform was a part of the Emergency Assistance on Rehabilitation and Reconstruction in Central Sulawesi activity sponsored by the Asian Development Bank (ADB).

Funding

This work was supported by a research fund from the Ministry of Education, Culture, Research, and Technology, the Republic of Indonesia. Access to the GEP platform was a part of the Emergency Assistance on Rehabilitation and Reconstruction in Central Sulawesi activity sponsored by the Asian Development Bank (ADB). Authors declare that they have no financial interests related to this research. All authors contributed to the study’s conception and design. Material preparation, data collection and analysis were performed by all authors. The first draft of the manuscript was written by Udhi Nugroho and further edited by Bambang Trisasongko. All authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Authors and Affiliations

  1. Research Centre for Remote Sensing, National Research and Innovation Agency, Jakarta, Indonesia

    Udhi C. Nugroho

  2. Department of Soil Science and Land Resources, Bogor Agricultural University, Bogor, Indonesia

    Udhi C. Nugroho, Boedi Tjahjono & Bambang H. Trisasongko

  3. Geospatial Information and Technologies for the Integrative and Intelligent Agriculture (GITIIA), P4W/CRESTPENT, Bogor Agricultural University, Bogor, Indonesia

    Bambang H. Trisasongko

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  1. Udhi C. Nugroho
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All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by all authors. The first draft of the manuscript was written by Udhi Nugroho and further edited by Bambang Trisasongko. All authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Bambang H. Trisasongko.

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Nugroho, U.C., Tjahjono, B. & Trisasongko, B.H. Estimating tidal inundation in the aftermath of the 2018 Palu earthquake. Environ Earth Sci 82, 556 (2023). https://doi.org/10.1007/s12665-023-11240-3

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