1 |
Mori, N., Goda, K. and 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.
|
2 |
Musson, R.M. (1999). Determination of design earthquakes in seismic hazard analysis through Monte Carlo simulation. Journal of Earthquake Engineering, 3(4), 463-474.
DOI
|
3 |
Musson, R.M. (2000). The use of Monte Carlo simulations for seismic hazard assessment in the UK. Annals of Geophysics, 43(1), 1-9.
DOI
|
4 |
Park, H. and Cox, D.T. (2016). Probabilistic assessment of nearfield tsunami hazards: Inundation depth, velocity, momentum flux, arrival time, and duration applied to Seaside. Oregon. Coastal Engineering, 117, 79-96.
DOI
|
5 |
Rhee, H.-M., Kim, M.K., Sheen, D.-H. and Choi, I.-K. (2014). Estimation of wave parameters for probabilistic tsunami hazard analysis considering the fault sources in the Western Part of Japan. Journal of the Earthquake Engineering Society of Korea, 18(3), 151-160.
DOI
|
6 |
Shapira, A. (1983). Potential earthquake risk estimations by application of a simulation process. Tectonophysics, 95(1-2), 75-89.
DOI
|
7 |
Sugino, H., Iwabuchi, Y., Hashimoto, N., Matsusue, K., Ebisawa, K., Kameda, H. and Imamura, F. (2015). The characterizing model for tsunami source regarding the inter-plate earthquake tsunami. Journal of Japan Association for Earthquake Engineering, 15(3), 114-133.
|
8 |
The Headquarters for Earthquake Research Promotion (2003). Long-term Evaluation of seismic activity in the eastern margin of Japan sea (in japanese).
|
9 |
Yoon, S.B., Lim, C.H. and Choi, J. (2007). Dispersion-correction finite difference model for simulation of transoceanic tsunamis. Terrestrial Atmospheric and Oceanic Sciences, 18(1), 31-53.
DOI
|
10 |
Aida, I. (1978). Reliability of a tsunami source model derived from fault parameters. Journal of Physics of the Earth, 26(1), 57-73.
DOI
|
11 |
Annaka, T., Satake, K., Sakakiyama, T., Yanagisawa, K. and Shuto, N. (2007). Logic-tree approach for probabilistic tsunami hazard analysis and its applications to the japanese coasts. Pure and Applied Geophysics, 164(2), 577-592.
DOI
|
12 |
Assatourians, K. and Atkinson, G.M. (2013). EqHaz: An open-source probabilistic seismic-hazard code based on the Monte Carlo simulation approach. Seismological Research Letters, 84(3), 516-524.
DOI
|
13 |
Horspool, N., Pranantyo, I., Griffin, J., Latief, H., Natawidjaja, D., Kongko, W., Cipta, A., Bustaman, B., Anugrah, S.D. and Thio, H. (2014). A probabilistic tsunami hazard assessment for Indonesia. Natural Hazards and Earth System Sciences, 14(11), 3105-3122.
DOI
|
14 |
Cramer, C.H., Petersen, M.D. and Reichle, M.S. (1996). A Monte Carlo approach in estimating uncertainty for a seismic hazard assessment of Los Angeles, Ventura, and Orange Counties, California. Bulletin of the Seismological Society of America, 86(6), 1681-1691.
|
15 |
Cornell, C.A. (1968). Engineering seismic risk analysis. Bulletin of the Seismological Society of America, 58(5), 1583-1606.
DOI
|
16 |
Fukutani, Y., Suppasri, A. and Imamura, F. (2015). Stochastic analysis and uncertainty assessment of tsunami wave height using a random source parameter model that targets a Tohoku-type earthquake fault. Stochastic Environmental Research and Risk Analysis, 29(7), 1763-1779.
DOI
|
17 |
Japan Society of Civil Engineers (2008). Survey result on the weight of logic trees (in japanese).
|
18 |
Japan Society of Civil Engineers (2016). Tsunami assessment technique for Nuclear Power Plant 2016 (in japanese).
|
19 |
Lorito, S., Selva, J., Basili, R., Romano, F., Tiberti, M.M. and Piatanesi, A. (2014). Probabilistic hazard for seismically induced tsunamis: accuracy and feasibility of inundation maps. Geophysical Journal International, 200(1), 574-588.
DOI
|
20 |
Mansinha, L. and Smylie, D. (1971). The displacement fields of inclined faults. Bulletin of the Seismological Society of America, 61(5), 1433-1440.
|