Estimation of wave period statistics using numerical coastal wave model

被引:0
|
作者
G. Muraleedharan
Mourani Sinha
A. D. Rao
N. Unnikrishnan Nair
P. G. Kurup
机构
[1] Indian Institute of Technology Delhi,Centre for Atmospheric Sciences
[2] Cochin University of Science and Technology,Department of Statistics
[3] Amrita Vishwa Vidyapeetham University,School of Arts and Sciences
来源
Natural Hazards | 2009年 / 49卷
关键词
Gamma and Erlang distributions; Mean wave period; Significant wave period; Coastal wave model;
D O I
暂无
中图分类号
学科分类号
摘要
We used field and model wave data to investigate that zero crossing and average wave period distribution follow Gamma distribution. Since Gamma CDF is an infinite power series, further mathematical treatment is difficult. Hence its shape parameter is approximated to the nearest integer to arrive at Erlang distribution. An expression is derived from Erlang distribution to estimate various mean wave periods and significant wave period and validated by relative root mean square (RRMS) error criteria. It is shown by mathematical logic that the significant wave period distribution follows Erlang (or Gamma) distribution and is validated. The average of one-third and one-tenth highest wave periods (Ts) estimated from Erlang distribution are in accordance with the values computed from recorded buoy and numerical coastal wave model wave period data. The predicted Ts values from coastal wave model wave period data underestimates the values from buoy wave period data.
引用
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页码:165 / 186
页数:21
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