Estimation of wave period statistics using numerical coastal wave model

G. Muraleedharan (), Mourani Sinha, A. Rao, N. Nair and P. Kurup

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2009, vol. 49, issue 2, 165-186

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. Copyright Springer Science+Business Media B.V. 2009

Keywords: Gamma and Erlang distributions; Mean wave period; Significant wave period; Coastal wave model (search for similar items in EconPapers)
Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:spr:nathaz:v:49:y:2009:i:2:p:165-186

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DOI: 10.1007/s11069-008-9311-x

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