Gegar Prasetya

Dr. Gegar Prasetya

IATsI - Ikatan Ahli Tsunami Indonesia Tsunami Research Foundation
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Research Focus & Metrics

Academic Career Length

30Years (1997-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 July 1997 in Natural Hazards
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Efim PelinovskyEfim Pelinovsky
Efim Pelinovsky
DYDede Yuliadi
Dede Yuliadi
GPGegar Prasetya
Gegar Prasetya
RHRahman Hidayat
Rahman Hidayat

3 January 2023 in Water
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Didit AdytiaDidit Adytia
Didit Adytia
DSDeni Saepudin
Deni Saepudin
DTDede Tarwidi
Dede Tarwidi
SPSri Pudjaprasetya
Sri Pudjaprasetya
SHSemeidi Husrin
Semeidi Husrin
GPGegar Prasetya
Gegar Prasetya
Wave prediction in a coastal area, especially with complex geometry, requires a numerical simulation with a high-resolution grid to capture wave propagation accurately. The resolution of the grid from global wave forecasting systems is usually too coarse to capture wave propagation in the coastal area. This problem is usually resolved by performing dynamic downscaling that simulates the global wave condition into a smaller domain with a high-resolution grid, which requires a high computational cost. This paper proposes a deep learning-based downscaling method for predicting a significant wave height in the coastal area from global wave forecasting data. We obtain high-resolution wave data by performing a continuous wave simulation using the SWAN model via nested simulations. The dataset is then used as the training data for the deep learning model. Here, we use the Long Short-Term Memory (LSTM) and Bidirectional LSTM (BiLSTM) as the deep learning models. We choose two study areas, an open sea with a swell-dominated area and a rather close sea with a wind-wave-dominated area. We validate the results of the downscaling with a wave observation, which shows good results.

27 November 2020 in Geosciences
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Shaun WilliamsShaun Williams
Shaun Williams
ATAusetalia Titimaea
Ausetalia Titimaea
Cyprien BosserelleCyprien Bosserelle
Cyprien Bosserelle
LSLameko Simanu
Lameko Simanu
GPGegar Prasetya
Gegar Prasetya
Investigating tsunamis and cyclones from depositional records enables an understanding of the long-term hazards to coastal communities. In Samoa, whilst a long-term record of tsunamis and cyclones spanning the last few millennia has been previously suggested based on preliminary sediment core/trench studies, a detailed assessment of the characteristics distinguishing these events has not been presented. This study reevaluates the depositional evidence available for Samoa and offers a more robust interpretation of the temporal and spatial records of tsunami events preserved in the Samoan sedimentary record. Tsunami inundation and runup records of the 2009 South Pacific tsunami along with differences in depositional settings, and sedimentary and geochemical characteristics of the associated deposits provide modern analogies for interpreting comparable older event-type deposits deeper in the Samoan geological record. These are aided by the 1990/1991 Cyclones Ofa and Val deposits previously suggested at some sites, which provides a modern analogy for interpreting cyclone-related deposits. Available radiocarbon and radiometric dates for the core/trench sites provide time-indicators to identify contemporaneous events, which we use to interpret the long-term record of tsunamis in this island region.