Tsunami arrival time detection system applicable to discontinuous time series data with outliers

Lee, Jun-Whan; Park, Sun-Cheon; Lee, Duk Kee; Lee, Jong Ho

doi:10.5194/nhess-16-2603-2016

Cited by 6 publications

(13 citation statements)

References 28 publications

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“…Secara umum, algoritme pendeteksi tsunami yang dikembangkan oleh Lee dan Park [11] tersebut terdiri dari tiga sub algoritme, yaitu eliminasi spike, pengisian data kosong, dan pendeteksian tsunami. Pada tahapan pertama, dilakukan eliminasi spike yang merupakan data pencilan atau data simpangan akibat faktor elektronik peralatan atau faktor meteorologi [12]. Data ini perlu dieliminasi agar tidak mengganggu proses deteksi dengan menerapkan algoritme modifikasi metode Tukey 53H dari Goring dan Nikora [13].…”

Section: A Algoritme Deteksi Tsunamiunclassified

“…Setelah ditemukan pola yang mirip, data tinggi muka air laut di waktu lampau tersebut digunakan untuk mengisi data kosong [14]. Meskipun memiliki pola yang mirip, data di waktu lampau tersebut tidak bisa langsung digunakan untuk mengisi rentang data kosong karena ada perbedaan nilai tinggi muka air laut sehingga perlu disesuaikan agar data deret waktu berlanjut secara kontinyu menggunakan end-point fixing method (EPFM) [11], [12], [14].…”

Section: A Algoritme Deteksi Tsunamiunclassified

“…Selisih tinggi muka air laut antara data aktual dengan data isian pada awal dan akhir digunakan untuk menghitung pergeseran masing-masing titik isian menggunakan (1) [12]. H Ep (t ) dan H ori (t ) masingmasing adalah nilai tinggi muka air laut setelah dan sebelum perhitungan EPFM, a dan b masing-masing adalah selisih antara data aktual dengan data isian pada titik awal dan titik akhir, c adalah waktu pada titik awal data isian, dan d adalah panjang waktu data isian.…”

Section: A Algoritme Deteksi Tsunamiunclassified

“…Nilai hDART kemudian dibandingkan dengan nilai tinggi muka air laut sebenarnya (h(t)) untuk mendapatkan indeks DART (DI) yang merupakan salah satu parameter syarat yang digunakan pada proses deteksi tsunami dengan (3). Gambar 1 menunjukkan skema proses deteksi tsunami menggunakan metode DART [12].…”

Section: A Algoritme Deteksi Tsunamiunclassified

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Automatic tsunami arrival detection algorithm for sea level observation system

Sriyanto

Angmalisang

Manu

et al. 2021

J. Teknol. dan Sist. Komput

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The automatic tsunami detection algorithm needs to be put in the sea level observation system to give society a quick warning when a tsunami happens. This study designs an automatic tsunami detection algorithm consisting of three sub-algorithm: spike elimination, gap data filling, and tsunami detection. Spike elimination and gap data filling are used to improve the sea level data, which is often disturbed by spikes and gap data due to electronic factors. This algorithm was tested using time-series tide gauge data that contain tsunami waveforms in Indonesia from 2007 to 2019. About 54.52 % of 409 spikes have been eliminated while the gap data were successfully filled. Furthermore, tsunami detection, which uses DART (Deep-ocean Assessment and Reporting of Tsunamis) and TEDA (Tsunami Early Detection Algorithm) methods, can detect 7 of 10 tsunami waveforms. However, there are three undetected tsunamis and one false detection. This algorithm has an average delay of 7.7 minutes in detection time.

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Section: A Algoritme Deteksi Tsunamiunclassified

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Automatic tsunami arrival detection algorithm for sea level observation system

Sriyanto

Angmalisang

Manu

et al. 2021

J. Teknol. dan Sist. Komput

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“…또한 일본 서해안에 위치한 지진대는 지진 및 지진해일 발 생 가능성이 높은 Potential tsunami zone으로 연구자들에 의 해 위험성이 대두되는 실정이다 (Mulia et al, 2020). 따라서 한국 기상청은 지진해일 관측장비인 울릉도 해일파고계의 지진해일 탐지 알고리즘 (Lee et al, 2016), 지진해일 시나리 오 DB 정확도 향상 (Sohn et al, 2018), 그리고 조기 경보 목적 으로 외해 지진해일 관측장비의 최적 배치 지역 (Lee et al, 2019) 등 지진해일의 피해를 저감하기 위하여 지진해일 예⋅ 경보 시스템에 관한 연구를 활발히 수행 중이다.…”

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Analysis of the tsunami amplification effect by resonance in Yeongil Bay

Lee¹,

Shin²

2021

J Coast Disaster Prev

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Predicting tsunami hazards based on the tsunami source, propagation, runup patterns is critical to protect humans and property. Potential tsunami zone, as well as the historical tsunamis in 1983 and 1993, can be a threat to the east coast of South Korea. The Korea Meteorological Administration established a tsunami forecast warning system to reduce damage from tsunamis, but it does not consider tsunami amplification in the bay due to resonance. In this study, the Numerical model, Cornell Multi-grid Coupled Tsunami model, was used to investigate natural frequency in the bay due to coastal geometry. The study area is Yeongill bay in Pohang, southeast of South Korea, because this area is a natural bay and includes three harbors where resonance significantly occurs. This study generated a Gaussian-shaped tsunami, propagated it into the Yeongill bay, and compared numerical modeling results with data from tide gauge located in Yeongill bay during several storms through spectral analysis. It was found that both energies of tsunamis and storms were amplified at the same frequencies, and maximum tsunami wave height was amplified about 3.12 times. The results in this study can contribute to quantifying the amplification of tsunami heights in the bay.

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The Role of Technology in Burn Disaster Response

Haller,

Sander,

Ryan

et al. 2024

Preprint

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Technological advancements in the Internet of Things (IoT), unmanned aerial vehicles (UAVs), and novel technological tools have transformed disaster management practices from localized approaches to a global framework. These innovations necessitate a unified understanding and application of diverse methodologies at an international level, ensuring they are accessible and operational across different sectors. This integration is crucial not only for technical personnel but also for medical teams, who play a pivotal role in disaster response and management. By fostering a comprehensive grasp of these methods, we can enhance coordination, efficiency, and effectiveness in addressing disasters on a global scale. The authors aimed to provide a comprehensive overview of emerging techniques that are driving shifts in strategic approaches and treatment technologies. Recognized as a domain of continuous research and development, this overview, by necessity, remains an incomplete snapshot of an evolving field. It highlights the dynamic nature of technological and strategic advancements, underscoring the importance of ongoing investigation and innovation to stay abreast of current trends and future directions. The article also highlights the importance of international collaboration beyond societal and national boundaries A single paragraph of about 200 words maximum. For research articles, abstracts should give a pertinent overview of the work. We strongly encourage authors to use the following style of structured abstracts, but without headings: (1) Background: Place the question addressed in a broad context and highlight the purpose of the study; (2) Methods: briefly describe the main methods or treatments applied; (3) Results: summarize the article’s main findings; (4) Conclusions: indicate the main conclusions or interpretations. The abstract should be an objective representation of the article and it must not contain results that are not presented and substantiated in the main text and should not exaggerate the main conclusions.

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Tsunami arrival time detection system applicable to discontinuous time series data with outliers

Cited by 6 publications

References 28 publications

Automatic tsunami arrival detection algorithm for sea level observation system

Automatic tsunami arrival detection algorithm for sea level observation system

Analysis of the tsunami amplification effect by resonance in Yeongil Bay

The Role of Technology in Burn Disaster Response

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