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Estimation of wave period statistics using numerical coastal wave model
Authors:G Muraleedharan  Mourani Sinha  A D Rao  N Unnikrishnan Nair  P G Kurup
Institution:(1) Centre for Atmospheric Sciences, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, 110016, India;(2) Department of Statistics, Cochin University of Science and Technology, Cochin, 682022, India;(3) School of Arts and Sciences, Amrita Vishwa Vidyapeetham University, Cochin, 682024, India
Abstract: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.
Keywords:Gamma and Erlang distributions  Mean wave period  Significant wave period  Coastal wave model
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