POSSIBILITY ESTIMATION OF GENERATING INTERNAL WAVES IN THE NORTHWEST PACIFIC OCEAN USING THE FUZZY LOGIC TECHNIQUE

Possibility estimation of generating internal waves has been recognized as a difficult problem because of the complex generation mechanisms and insufficient in situ observation data of internal waves. In this study, a inference model based on the fuzzy logic technique was developed for estimating the generation possibility of internal waves. The marine environmental factors causing the occurrence of internal waves were distilled from ocean data and used as the inputs of the fuzzy inference model, and the generation possibilities of internal waves were used as the output of the model. The developed model was applied to the northwest Pacific, and the results were verified using satellite remote sensing images. The satisfactory results indicate that the inference model based on fuzzy logic is a useful first step in the development of generation estimation of internal waves and can be used as a supplement of traditional methods, which will be helpful for the risk assessment of ocean engineering.

[1]  W. Broenkow,et al.  The Role of Internal Tides in the Nutrient Enrichment of Monterey Bay, California" , 1982 .

[2]  P. Liu,et al.  A two-dimensional, depth-integrated model for internal wave propagation over variable bathymetry , 2002 .

[3]  P. Linden,et al.  Internal wave excitation from stratified flow over a thin barrier , 1998, Journal of Fluid Mechanics.

[4]  Antony K. Liu Analysis of nonlinear internal waves in the New York Bight , 1988 .

[5]  J. Mendel Fuzzy logic systems for engineering: a tutorial , 1995, Proc. IEEE.

[6]  Novruz Allahverdi,et al.  A fuzzy expert system design for diagnosis of prostate cancer , 2003, CompSysTech '03.

[7]  Antony K. Liu,et al.  The Sulu Sea Internal Soliton Experiment , 1985 .

[8]  P. Miiller,et al.  Diapycnal Mixing and Internal Waves , 2000 .

[9]  Fumiaki Fujibe,et al.  Short-term Precipitation Patterns in Central Honshu, Japan Classification with the Fuzzy c-means Met , 1989 .

[10]  V. Chandrasekar,et al.  Classification of Hydrometeors Based on Polarimetric Radar Measurements: Development of Fuzzy Logic and Neuro-Fuzzy Systems, and In Situ Verification , 2000 .

[11]  L. Zadeh,et al.  Fuzzy sets and applications : selected papers , 1987 .

[12]  Zhang Ren NON-LINEAR FUZZY RECOGNITION AND ITS APPLICATION IN IDENTIFYING SST ABNORMALITY , 2002 .

[13]  Antony K. Liu,et al.  Evolution of nonlinear internal waves in the East and South , 1998 .

[14]  Antony K. Liu,et al.  Evolution of Nonlinear Internal Waves in China Seas , 1997 .

[15]  P. Linden,et al.  Internal wave excitation by a vertically oscillating elliptical cylinder , 2002 .

[16]  Chris Garrett,et al.  INTERNAL WAVES IN THE OCEAN , 1979 .

[17]  George J. Klir,et al.  Fuzzy sets, uncertainty and information , 1988 .

[18]  M. Rattray On the Coastal Generation of Internal Tides , 1960 .

[19]  S. A. Thorpe,et al.  The excitation, dissipation, and interaction of internal waves in the deep ocean , 1975 .

[20]  K. Onu,et al.  Internal wave excitation by a vertically oscillating sphere , 2003, Journal of Fluid Mechanics.

[21]  Jonathan J. Gourley,et al.  A Fuzzy Logic Algorithm for the Separation of Precipitating from Nonprecipitating Echoes Using Polarimetric Radar Observations , 2007 .

[22]  Warner L. Ecklund,et al.  A Fuzzy Logic Method for Improved Moment Estimation from Doppler Spectra , 1998 .

[23]  K. Lamb Numerical experiments of internal wave generation by strong tidal flow across a finite amplitude bank edge , 1994 .

[24]  T. Gerkema A unified model for the generation and fission of internal tides in a rotating ocean , 1996 .

[25]  T. Maxworthy On the formation of nonlinear internal waves from the gravitational collapse of mixed regions in two and three dimensions , 1980, Journal of Fluid Mechanics.

[26]  Sergei Ovchinnikov,et al.  Fuzzy sets and applications , 1987 .

[27]  M. Briscoe Introduction to collection of papers on oceanic internal waves , 1975 .

[28]  W. Krauss Internal tides resulting from the passage of surface tides through an eddy field , 1999 .

[29]  K. V. S. V. N. Raju,et al.  An Improved Fuzzy Approach for COCOMO's Effort Estimation Using Gaussian Membership Function , 2009, J. Softw..

[30]  Antony K. Liu,et al.  Nonlinear Internal Waves in the South China Sea , 2000 .

[31]  V. Klemas,et al.  Remote sensing evidence for baroclinic tide origin of internal solitary waves in the northeastern South China Sea , 2004 .

[32]  Marc Berenguer,et al.  A Fuzzy Logic Technique for Identifying Nonprecipitating Echoes in Radar Scans , 2006 .

[33]  Antony K. Liu,et al.  A study of internal waves in the China Seas and Yellow Sea using SAR , 2000 .

[34]  T. Maxworthy A note on the internal solitary waves produced by tidal flow over a three‐dimensional ridge , 1979 .

[35]  Zuliang Shen Fuzzy sets and applications: Selected papers by L.A. Zadeh: R.R. Yager, S. Ovchinnikov, R.M. Tong and H.T. Nguyen, eds.☆ , 1993 .

[36]  K. Watson The Coupling of Surface and Internal Gravity Waves: Revisited , 1990 .

[37]  S. Cai,et al.  A numerical study of the generation and propagation of internal solitary waves in the Luzon Strait , 2002 .

[38]  杜涛,et al.  A LAYERED NUMERICAL MODEL FOR SIMULATING THE GENERATION AND PROPAGATION OF INTERNAL TIDES OVER CONTINENTAL SLOPE III. NUMERICAL EXPERIMENTS AND SIMULATION , 2000 .

[39]  Zhang Re Cloud Fuzzy Inference and Classification based on Double-Spectrum Satellite Images , 2004 .