Wave Height and Downtime Event Forecasting in Harbour with Complex Topography Using Auto-Regressive and Artificial Neural Networks Models |
Yi, Jin-Hak
(Coastal Engineering Division, Korea Institute of Ocean Science and Technology)
Ryu, Kyong-Ho (Coastal Engineering Division, Korea Institute of Ocean Science and Technology) Baek, Won-Dae (Coastal Engineering Division, Korea Institute of Ocean Science and Technology) Jeong, Weon-Mu (Coastal Engineering Division, Korea Institute of Ocean Science and Technology) |
1 | Booij, N. (1981). Gravity waves on water with non-uniform depth and current. Report No. 81-1, Dept. of Civil Eng., Delft Univ. of Technology. |
2 | Booij, N., Ris, R.C. and Holthuijsen, L.H. (1999). A third-generation wave model for coastal regions 1. Model description and validation. J. of Geophysical Research, 103(C4), 7649-7666. |
3 | Eum, H.-S., Kang, T.-S., Nam, S.-Y. and Jeong, W.-M. (2016). Wave modeling considering water level changes and currents effects. Journal of Korean Society of Coastal and Ocean Engineers, 28(6), 383-396 (in Korean). DOI |
4 | Jeong, W.M., Oh, S.B., Chae, J.W. and Kim, S.I. (1997). Analysis of the wave induced downtimes in Pohang New Harbor. Journal of Korean Society of Coastal and Ocean Engineers, 9(1), 24-34 (in Korean). |
5 | Jeong, W.M., Jun, K.C., Kim, G., Oh, S.-H. and Ryu, K.-H. (2012). Shallow-water design waves at Gangreung Beach through the analysis of long-term measured wave data and numerical simulation using deepwater wave conditions. Journal of Korean Society of Coastal and Ocean Engineers, 24(5), 343-351 (in Korean). DOI |
6 | Jeong, W.M., Ryu, K.H., Baek, W.D. and Choi, H.J. (2011). Downtime analysis for Pohang New Harbor through long-term investigation of waves and winds. Journal of Korean Society of Coastal and Ocean Engineers, 23(3), 226-235 (in Korean). DOI |
7 | Kim, J.M., Hur, D.S., Kim, C.H. and Kim, D.S. (2007). Shallow water wave hindcasting by the combination of MASCON and SWAN models. Journal of Korean Society of Coastal and Ocean Engineers, 19(1), 57-65 (in Korean). |
8 | Lopez, M. and Iglesias, G. (2013). Artificial intelligence for estimating infra gravity energy in a harbour. Ocean Engineering, 57, 56-63. DOI |
9 | Lopez, I., Lopez, M. and Iglesias, G. (2015). Artificial neural networks applied to port operability assessment. Ocean Engineering, 109, 298-308. DOI |
10 | Sohn, H., Dzwonczyk, M., Straser, E.G., Kiremidjian, A.S., Law, K.H. and Meng, T. (1999). An experimental study of temperature effect on modal parameters of the Alamosa Canyon Bridge. Earthquake Engineering Structural Dynamics, 28, 879-897. DOI |
11 | The SWAN team (2008). SWAN Cycle III version 40.72 Technical Documentation. |
12 | Haykin, S., Neural networks-a comprehensive foundation, Macmillan, New York, USA, 1994. |
13 | Yi, J.-H., Ryu, K.-H., Jeong, W.-M. and Baek, W.-D. (2014). Downtime forecasting technique in harbour using artificial neural networks model, Proceedings of International Conference on Coastal Engineering, Seoul, Korea. |