Download ACES - AUTOMATED COASTAL ENGINEERING SYSTEM - TECHNICAL by David A. Leenknecht, Andre Szuwalski and Ann R. Sherlock PDF

By David A. Leenknecht, Andre Szuwalski and Ann R. Sherlock

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L. O+a(y, CJnr=h –c+E lnv)2 [ 1 (8) where: a nr = normalized standard deviation with return period JN = number a= a,, a2, c, 6, K ale = a2N empirical v = censoring of input significant -’s+. of significant heights (9) - coefficients wave height (Table 1-3-1) parameter — _—N NT 1-3-4 Extremal Significant Wave Height Analysis Wave Prediction ACES Technical Table 1-3-1 of Empirical Standard Deviation Formula Simificant Height (Goda. 63 deviation of significant wave height ] is calculated by or=(snro H (lo) s where: a, = standard error of significant period r u“, = standard deviation wave height of input significant with return heights Confidence intervals are calculated by assuming that significant height estimates at any particular return period are normally distributed about the assumed distribution function.

Which represents the initial phase of the constituent at the initial epoch (t = O) . Constituent Tide Record Generation 1-4-1 ACES Technical Wave Prediction Reference An important assumption in applying this methodology is that the observed record (from which the harmonic constants were derived) was of sufficient length, resolution, and quality to resolve the harmonic data adequately. Data from site-specific studies are usually short term in duration. Permanent recording stations provide longer and often more reliable records.

X, CNOIDAL The wave is periodic t)=@(x+L, z=q (4) in time and space. t) l$(x, t)=l$(x, t+ 7-) (5) WAVE THEORY CONSIDERATIONS Cnoidal wave theory is valid in relatively shallow water. For deriving waves of finite amplitude, the simplifying assumptions which characterize small-amplitude (linear) wave theory (H<< L) and (H <

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