Prediction of seasonal maximum wave height for unevenly spaced time series by Black Widow Optimization algorithm

2021 ◽  
Vol 78 ◽  
pp. 103005
Author(s):  
Sargol Memar ◽  
Amin Mahdavi-Meymand ◽  
Wojciech Sulisz
Keyword(s):  
Time Series ◽  
Wave Height ◽  
Optimization Algorithm ◽  
Black Widow ◽  
Maximum Wave Height ◽  
Seasonal Maximum

A Coral Reef Optimization Algorithm for Wave Height Time Series Segmentation Problems

2017 ◽  
pp. 673-684
Author(s):  
Antonio Manuel Durán-Rosal ◽  
David Guijo-Rubio ◽  
Pedro Antonio Gutiérrez ◽  
Sancho Salcedo-Sanz ◽  
César Hervás-Martínez
Keyword(s):  
Time Series ◽  
Coral Reef ◽  
Wave Height ◽  
Optimization Algorithm ◽  
Time Series Segmentation

Searching for Factors that Limit Observed Extreme Maximum Wave Height Distributions in the North Sea

2008 ◽  
pp. 127-138 ◽  
Author(s):  
Gerrit Burgers ◽  
Frits Koek ◽  
Hans de Vries ◽  
Martin Stam
Keyword(s):  
Wave Height ◽  
North Sea ◽  
Maximum Wave Height ◽  
The North ◽  
The North Sea

scholarly journals REPRODUCTION ANALYSIS OF HUMAN DRIFTING BEHAVIOR DURING TSUNAMI USING NUMERICAL CALCULATION

2020 ◽  
pp. 34
Author(s):  
Riko Morita ◽  
Taro Arikawa
Keyword(s):  
Numerical Calculation ◽  
Wave Height ◽  
Prediction Method ◽  
Great East Japan Earthquake ◽  
Numerical Calculations ◽  
Water Tank ◽  
Maximum Wave Height ◽  
Hydraulic Experiment ◽  
Secondary Damage ◽  
Simulation Results

Along with the 2011 Great East Japan Earthquake (Mw 9.0), a huge tsunami exceeding a maximum wave height of 15 m occurred. Many people and objects were destroyed and drifted by the tsunami. In addition, these debris were transported to various places that could not be predicted, resulting in significant secondary damage and increase in the number of missing. Therefore, in order to reduce the amount of damage, it is important to predict the behavior and landing points of person after set adrift in a tsunami. The best way to increase the rescue rate is to predict in advance the area that people will be drifted, and prioritize searching operations at that area. Although there has been considerable number of studies which handle the drifting behavior of containers and ships (e.g., Kaida et al., 2016), the prediction of drifting areas focusing on people has not been conducted. Moreover, a drifting area prediction method has not yet been established. The purpose of this study is to conduct a hydraulic experiment using a flat water tank, and observe the drifting area of the drifting object. Then, we conducted numerical calculations and compared simulation results with the experimental ones.Recorded Presentation from the vICCE (YouTube Link): https://youtu.be/1yhKuodhCbg

scholarly journals Pemanfaatan Data Angin Untuk Karakteristik Gelombang Laut Di Perairan Natuna Berdasarkan Data Angin tahun 2009 - 2018

2019 ◽  
Vol 8 (2) ◽  
pp. 55
Author(s):  
Ary Afriady ◽  
Tasdik Mustika Alam ◽  
Mochamad Furqon Mustika Azis Ismail
Keyword(s):  
Wave Height ◽  
Wave Period ◽  
Wind Data ◽  
Wave Direction ◽  
The West ◽  
Maximum Wave Height ◽  
Transition Season ◽  
Forecasting Analysis ◽  
Environmental Prediction ◽  
Wave Forecasting

Analisis data angin dilakukan untuk meramalkan dan menentukan karakteristik gelombang laut di perairan Pulau Natuna. Data angin yang digunakan dalam penelitian ini berasal dari National Centers for Environmental Prediction (NCEP) selama 10 tahun dari tahun 2009 sampai dengan tahun 2018. Metoda yang digunakan untuk estimasi tinggi, periode dan arah gelombang laut yang dibangkitkan oleh angin adalah metode Svedrup, Munk dan Bretschneider (SMB). Hasil perhitungan peramalan karakteristik gelombang diperoleh bahwa pembentukan gelombang didominasi oleh arah yang berasal dari timur laut dan terjadi pada musim barat dan musim peralihan 1. Adapun pada musim timur dan peralihan, arah dominan gelombang masing-masing berasal dari selatan dan barat daya. Tinggi gelombang maksimum 1,0-1,4 m sering terjadi pada musim musim timur, adapun tinggi gelombang minimum 0,2-0,6 m dominan terjadi pada musim musim peralihan. Periode gelombang dominan ditemukan pada kisaran 7-9 detik yang terjadi pada tiap musim.  The analysis of wind data has been done to forecast and determine the characteristic of the ocean wave in Natuna Island waters. The wind data in this study came from the National Centers for Environmental Prediction (NCEP) for a period of 10 years from 2009 to 2018. The method to estimate wave height, wave period, and wave direction generated by wind is Sverdrup, Munk dan Bretschneider (SMB) system. The results of wave forecasting analysis show that the formation of the wave is mainly originated from the northeast which occurs during the west and first transition season. As for the east and second transition season, the origin of wave formation coming from the south and southwest, respectively. The maximum wave height of 1.0-1.4 m frequently occurs during the east monsoon, while the minimum wave height. The dominant wave period is found in the range of 7-9 seconds, which occurs in every season. 

scholarly journals Field Current Waveform-Based Method for Estimation of Synchronous Generator Parameters Using Adaptive Black Widow Optimization Algorithm

IEEE Access ◽  
2020 ◽  
pp. 1-1
Author(s):  
Mihailo Micev ◽  
Martin Calasan ◽  
Dragan Petrovic ◽  
Ziad M. Ali ◽  
Nguyen Vu Quynh ◽  
...  
Keyword(s):  
Optimization Algorithm ◽  
Synchronous Generator ◽  
Current Waveform ◽  
Black Widow

Nonstationary Extreme-Value Predictions in the Gulf of Mexico

2007 ◽  
Author(s):  
Christos N. Stefanakos
Keyword(s):  
Time Series ◽  
Gulf Of Mexico ◽  
Wave Height ◽  
Missing Values ◽  
Extreme Value ◽  
Altimeter Data ◽  
Dependence Structure ◽  
Measured Time ◽  
Definition Of

In the present work, return periods of various level values of significant wave height in the Gulf of Mexico are given. The predictions are based on a new method for nonstationary extreme-value calculations that have recently been published. This enhanced method exploits efficiently the nonstationary modeling of wind or wave time series and a new definition of return period using the MEan Number of Upcrossings of the level value x* (MENU method). The whole procedure is applied to long-term measurements of wave height in the Gulf of Mexico. Two kinds of data have been used: long-term time series of buoy measurements, and satellite altimeter data. Measured time series are incomplete and a novel procedure for filling in of missing values is applied before proceeding with the extreme-value calculations. Results are compared with several variants of traditional methods, giving more realistic estimates than the traditional predictions. This is in accordance with the results of other methods that take also into account the dependence structure of the examined time series.

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