Estimation of wave period statistics using numerical coastal wave model

被引:13
作者
Muraleedharan, G. [1 ]
Sinha, Mourani [1 ]
Rao, A. D. [1 ]
Nair, N. Unnikrishnan [2 ]
Kurup, P. G. [3 ]
机构
[1] Indian Inst Technol Delhi, Ctr Atmospher Sci, New Delhi 110016, India
[2] Cochin Univ Sci & Technol, Dept Stat, Cochin 682022, Kerala, India
[3] Amrita Vishwa Vidyapeetham Univ, Sch Arts & Sci, Cochin 682024, Kerala, India
关键词
Gamma and Erlang distributions; Mean wave period; Significant wave period; Coastal wave model; SEA WAVES; JOINT PROBABILITY; HEIGHTS; DISTRIBUTIONS; PREDICTION; AMPLITUDES; MAXIMUM;
D O I
10.1007/s11069-008-9311-x
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
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 (T (s) ) estimated from Erlang distribution are in accordance with the values computed from recorded buoy and numerical coastal wave model wave period data. The predicted T (s) values from coastal wave model wave period data underestimates the values from buoy wave period data.
引用
收藏
页码:165 / 186
页数:22
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