scientimate.directionalpsdpuv#
Syy2d, f2d, theta = scientimate.directionalpsdpuv(P, Ux, Uy, fs, h, Pheightfrombed=0, UVheightfrombed=0, dtheta=15, coordinatesys='xyz', fmaxpcorr=None, fminpcorr=0, fKuvmin=None, fcL=0, fcH=None, fmaxpcorrCalcMethod='auto', Kpafterfmaxpcorr='constant', KuvafterfKuvmin='constant', kCalcMethod='beji', Rho=1000, nfft=None, SegmentSize=256, OverlapSize=128, dispout='no')
Description#
Calculate wave directional spectrum using pressure and horizontal orbital velocity
Inputs#
- P
Water pressure time series data in (N/m^2)
- Ux
Wave horizontal orbital velocity data in x direction in (m/s)
- Uy
Wave horizontal orbital velocity data in y direction in (m/s)
- fs
Sampling frequency that data collected at in (Hz)
- h
Water depth in (m)
- Pheightfrombed=0
Pressure sensor height from bed that data collected at in (m)
- UVheightfrombed=0
Velocity sensor height from bed that data collected at in (m)
- dtheta=15
Direction interval at which directional spectrum calculated between 0 and 360 (Degree)
- coordinatesys=’xyz’
- Define the coordinate system‘xyz’: XYZ coordinate system, ‘enu’: ENU (East North Up) coordinate systemIf coordinatesys=’enu’, then x is East and y is NorthIf coordinatesys=’enu’, results are reported with respect to true northIn true north coordinate system, wave comes from as:0 degree: from north, 90 degree: from east, 180 degree: from south, 270 degree: from west
- fmaxpcorr=fs/2
- Maximum frequency that a pressure attenuation factor applies up on that (Hz)If fmaxpcorrCalcMethod=’user’, then the smaller of calculated and user defined fmaxpcorr will be chosen
- fminpcorr=0
- Minimum frequency that is used for defining fmaxpcorr if fmaxpcorrCalcMethod=’auto’ (Hz)fminpcorr should be smaller than fpIf swell energy exists, fminpcorr should be smaller than fp of wind sea (fpsea) and larger than fp of swell (fpswell) if there swell
- fKuvmin=fs/2
Frequency that a velocity conversion factor (Kuv) at that frequency is considered as a minimum limit for Kuv
- fcL=0
Low cut-off frequency, between 0*fs to 0.5*fs (Hz)
- fcH=fs/2
High cut-off frequency, between 0*fs to 0.5*fs (Hz)
- fmaxpcorrCalcMethod=’auto’
- Define if to calculate fmaxpcorr and ftail or to use user defined‘user’: use user defined value for fmaxpcorr‘auto’: automatically define value for fmaxpcorr
- Kpafterfmaxpcorr=’constant’
- Define a apressure response factor, Kp, value for frequency larger than fmaxpcorr‘nochange’: Kp is not changed for frequency larger than fKuvmin‘one’: Kp=1 for frequency larger than fmaxpcorr‘constant’: Kp for f larger than fmaxpcorr stays equal to Kp at fmaxpcorr (constant)
- KuvafterfKuvmin=’constant’
- Define conversion factor, Kuv, value for frequency larger than fKuvmin‘nochange’: Kuv is not changed for frequency larger than fKuvmin‘one’: Kuv=1 for frequency larger than fKuvmin‘constant’: Kuv for f larger than fKuvmin stays equal to Kuv at fKuvmin (constant)
- kCalcMethod=’beji’
- Wave number calculation method‘hunt’: Hunt (1979), ‘beji’: Beji (2013), ‘vatankhah’: Vatankhah and Aghashariatmadari (2013)‘goda’: Goda (2010), ‘exact’: calculate exact value
- Rho=1000
Water density (kg/m^3)
- nfft=length(P)
Total number of points between 0 and fs that spectrum reports at is (nfft+1)
- SegmentSize=256
Segment size, data are divided into the segments each has a total element equal to SegmentSize
- OverlapSize=128
Number of data points that are overlaped with data in previous segments
- dispout=’no’
- Define to display outputs or not‘2d’: 2 dimensional plot, ‘surface’: Surface plot, ‘polar’: Polar plot, ‘no’: not display
Outputs#
- Syy2d
Directional wave power spectral density (m^2/Hz/Degree)
- f2d
Directional frequency (Hz)
- theta
Direction (Degree)
Examples#
import scientimate as sm
import numpy as np
import scipy as sp
from scipy import signal
fs=2 #Sampling frequency
duration=1024 #Duration of the data
N=fs*duration #Total number of points
df=fs/N #Frequency difference
dt=1/fs #Time difference, dt=1/fs
t=np.linspace(0,duration-dt,N) #Time
Eta=sp.signal.detrend(0.5*np.cos(2*np.pi*0.2*t)+(-0.1+(0.1-(-0.1)))*np.random.rand(N))
hfrombed=4
h=5
k=0.2
P=Eta*9.81*1000*(np.cosh(k*hfrombed)/np.cosh(k*h))
Ux=(np.pi/5)*(2*Eta)*(np.cosh(k*hfrombed)/np.sinh(k*h))
Uy=0.2*Ux
Syy2d,f2d,theta=sm.directionalpsdpuv(P,Ux,Uy,fs,h,4,4,15,'xyz',0.7,0,0.7,0,fs/2,'auto','constant','constant','beji',1025,N,256,128,'polar')
References#
Beji, S. (2013). Improved explicit approximation of linear dispersion relationship for gravity waves. Coastal Engineering, 73, 11-12.
Goda, Y. (2010). Random seas and design of maritime structures. World scientific.
Hunt, J. N. (1979). Direct solution of wave dispersion equation. Journal of the Waterway Port Coastal and Ocean Division, 105(4), 457-459.
Vatankhah, A. R., & Aghashariatmadari, Z. (2013). Improved explicit approximation of linear dispersion relationship for gravity waves: A discussion. Coastal engineering, 78, 21-22.
Welch, P. (1967). The use of fast Fourier transform for the estimation of power spectra: a method based on time averaging over short, modified periodograms. IEEE Transactions on audio and electroacoustics, 15(2), 70-73.