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NTIS 바로가기韓國海洋工學會誌 = Journal of ocean engineering and technology, v.33 no.6, 2019년, pp.607 - 614
이은주 (한양대학교 해양융합과학과) , 정태화 (한밭대학교 건설환경교통학부) , 김지창 (한양대학교 해양융합과학과) , 신성원 (한양대학교 해양융합과학과)
It has been an issue among researchers that the tsunamis that occurred on the west coast of Japan in 1983 and 1993 damaged the coastal cities on the east coast of Korea. In order to predict and reduce the damage to the Korean Peninsula effectively, it is necessary to install offshore tsunami observa...
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핵심어 | 질문 | 논문에서 추출한 답변 |
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지진해일은 무엇인가? | 지진해일은 인류에게 가장 큰 피해를 주는 자연현상 중 하나이다(Pugh and Woodworth, 2014). 이를 뒷받침하는 사례는 지난 수십년 간 발생한 지진해일 중 대표적으로 2011년 동일본 대지진(규모 9. | |
일본의 S-net은 무엇을 감시하기 위해 구축된 시스템인가? | 그리고 해안가 부근 해저 지진대에서 발생하여 연안에 10분 내외로 내습하는 근거리 지진해일에 대비한 시스템이 일본과 캐나다에 수립되었다. 일본의 경우, 150개의 해저 지진계와 수압계로 이루어진 해저 관측 시스템들이 일본 동쪽에 위치한 해구를 따라 총 5,800km 길이의 광케이블로 연결되어 24시간 지진대에서 발생하는 지진과 지진해일을 감시하는 시스템인 S-net을 구축하고 있다(Kanazawa, 2013). 일본의 또 다른 해저 케이블시스템으로 Dense oceanfloor networksystem for earthquakes and tsunamis(DONET)는 난카이 트러프(Nankai Trough)에서 발생가능한 지진과 지진해일을 감시하고있다(Kaneda et al. | |
대표적인 지진해일 경보시스템은 무엇인가? | 따라서, 이러한 파괴적인 지진해일의 피해를 대비하기 위해 해외에서는 진앙으로부터 거리 등 지형 특성에 맞게 지진해일 경보시스템을 구축하여 왔다(Kim, 2008). 대표적인 예로 대양의 해저 지진대에서 발생하고 전파되는 원거리 지진해일을 전 세계에 위치한 부이를 이용하여 관측하고 연안에 경보하는 시스템으로 미국에서 운용하는 Deep-ocean assessment and reporting oftsunamis(DART)가 있다(Fig. 1). |
Abe, I., Imamura, F., 2013. Problems and Effects of a Tsunami Inundation Forecast System During the 2011 Tohoku Earthquake. Journal of Japan Society of Civil Engineers, 1(1), 516-520. https://doi.org/10.2208/journalofjsce.1.1_516
Araki, E., Kawaguchi, K., Kaneko, S., Kaneda, Y., 2008. Design of Deep Ocean Submarine Cable Observation Network for Earthquakes and Tsunamis. Proceedings of OCEAN 2008-MTS/IEEE Kobe TechnoOcean, Kobe Japan, 1-4. https://doi.org/10.1109/OCEANSKOBE.2008.4531071
Barnes, C.R., Best, M.M., Zielinski, A., 2008. The NEPTUNE Canada Regional Cabled Ocean Observatory. Technology (Crayford, England), 50.
Cho, Y.S., Lee, J.W., 2013. Hazard Map with Probable Maximum Tsunamis. Proceedings of the 23th International Offshore and Polar Engineering Conference, Alaska USA, 82-85.
Choi, B.H., Hong, S.J., Pelinovsky, E., 2001. Simulation of Prognostic Tsunami on the Korean Coast. Journal of Geophysical research Letters, 28(10), 2013-2016. https://doi.org/10.1029/2000GL012534
Cienfuegos, R., Catalan, P.A., Urrutia, A., Benavente, R., Aranguiz, R., Gonzalez, G., 2018. What Can We Do to Forecast Tsunami Hazards in the Near Field Given Large Epistemic Uncertainty in Rapid Seismic Source Inversions?. Geophysical Research Letters, 45, 4944-4955. https://doi.org/10.1029/2018GL076998,2018.
Gusman, A., Tanioka, Y., 2014. W Phase Inversion and Tsunami Inundation Modeling for Tsunami Early Warning: Case Study for the 2011 Tohoku Event. Pure and Applied Geophysics, 171, 1409-1422. 1409-1422. https://doi.org/10.1007/s00024-013-0680-z
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Kanazawa, T., 2013. Japan Trench Earthquake and Tsunami Monitoring Network of Cable-linked 150 Ocean Bottom Observatories and Its Impact to Earth Disaster Science. Journal of Underwater Technology Symposium (UT), 2013 IEEE International, 1-5. https://doi.org/10.1109/UT.2013.6519911
Kaneda, Y., Kawaguchi, K., Araki, E., Matsumoto, H., Nakamura, T., Kamiya, S., Ariyoshi, K., Hori, T., Baba, T., Takahashi, N., 2015. Development and Application of an Advanced Ocean Floor Network System for Megathrust Earthquakes and Tsunamis. Springer Praxis Books, 643-662. https://doi.org/10.1007/978-3-642-11374-1_25
Kawai, H., Satoh, M., Kawaguchi, K., Seki, K., 2013. Characteristics of the 2011 Tohoku Tsunami Waveform Acquired around Japan by NOWPHAS Equipment. Coastal Engineering Journal, 55(03), 1350008. https://doi.org/10.1142/S0578563413500083
Kim, H.S., 2008. Occurrence of Tsunami and Warning System. The Korean Society of Marine Engineering, 32(4), 490-497.
Kim, H.S., Kim, K.O., Jung, K.T., Lee, J.S., 2013. Development of Parallel Tsunami Programig Model(I). National Disaster Management Institute. Report No. NDMI-PR-2013-20-02.
Levin, B., Nosov, M., 2009. Physics of Tsunami. Springer.
Meza, J., Catalan, P.A., Tsushima, H., 2018. A Methodology For Optimal Designing Of Monitoring Sensor Networks For Tsunami Inversion. Natural Hazards and Earth System Sciences, Under Review, Discussion started: 22 October 2018.
Mori, N., Goda, K., Cox, D., 2018. Recent Process in Probabilistic Tsunami Hazard Analysis (PTHA) for Mega Thrust Subduction Earthquakes. In the 2011 Japan Earthquake and Tsunami: Reconstruction and Restoration, 469-485. https://doi.org/10.1007/978-3-319-58691-5_27
Mueller C., Power W., Fraser S., Wang X., 2015. Effects of Rupture Complexity on Local Tsunami Inundation: Implications for Probabilistic Tsunami Hazard Assessment by Example, Journal of Geophysical Research: Solid Earth, 120(1), 488-502. https://doi.org/10.1002/2014JB011301
Mulia, I.E., Gusman, A.R., Satake, K., 2017. Optimal Design for Placements of Tsunami Observing Systems to Accurately Characterize the Inducing Earthquake. Journal of Geophysical Research Letters, 44(24), 106-12, 115. https://doi.org/10.1002/2017GL075791
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Omira, R., Baptista, M.A., Matias, L., Miranda, J.M., Catita, C., Carrilho, F., Toto, E., 2009. Design of a Sea-level Tsunami Detection Network for the Gulf of Cadiz. Natural Hazards and Earth System Sciences, 9(4), 1327-1338. https://doi.org/10.5194/nhess-9-1327-2009
Percival, D.B., Denbo, D.W., Eble, M.C., Gica, E., Mofjeld, H.O., Spillane, M.C., Tang, L., Titov, V.V., 2011. Extraction of Tsunami Source Coefficients via Inversion of DART(R)buoy Data. Journal of Nat. Hazards Earth Syst. Sci, 58(1), 567-590. https://doi.org/10.1007/s11069-010-9688-1
Pugh, D., Woodworth, P., 2014. Sea-Level Science: Understanding Tides, Surges, Tsunamis and Mean Sea-Level Changes. Cambridge University Press, Cambridge
Rehman, K., Cho, Y.S., 2016. Building Damage Assessment Using Scenario Based Tsunami Numerical Analysis and Fragility Curves. Journal of Water, 8(3), 109. https://doi.org/10.3390/w8030109
Schindele, F., Loevenbruck, A., Hebert, H., 2008. Strategy to Design the Sea-level Monitoring Networks for Small Tsunamigenic Oceanic Basins: the Western Mediterranean Case. Natural Hazards and Earth System Sciences, 8(5), 1019-1027. https://doi.org/10.5194/nhess-8-1019-2008
Titov, V.V., Gonzalez, F.I., Bernard, E.N., Eble, M.C., Mofjeld, H.O., Newman, J.C., Venturato, A.J., 2005. Real-time Tsunami Forecasting: Challenges and Solutions. Natatural Hazards, 35(1), 41-58. https://doi.org/10.1007/s11069-004-2403-3
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Wu, T.R., Chen, P.F., Tsai, W.T., Chen, G.Y., 2008. Numerical Study on Tsunamis Excited by 2006 Pingtung Earthquake Doublet. Terrestrial, Atmospheric and Oceanic Sciences, 19(6), 705-715. https://doi.org/10.3319/TAO.2008.19.6.705(PT)
Yoon, S.B., 2002, Propagation of Distant Tsunamis over Slowly Varying Topography. Journal of Geophysical Research: ceans, 107(C10), 3140. https://doi.org/10.1029/2001JC000791
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