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ENERGY AND MAGNETIC FIELD DISTRIBUTION CHARACTERISTICS OF PM AND JONSWAP SPECTRA

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Volume 2, Issue 2, Pp 6-16, 2025

DOI: https://doi.org/10.61784/mjet3031

Author(s)

XinTong Wang*, JianSheng Zhang 

Affiliation(s)

Department of Physics, School of  Sciences, Xi’an Technological University, Xi’an 710021, Shaanxi, China. 

Corresponding Author

XinTong Wang

ABSTRACT

To further investigate the formation mechanism, distribution characteristics, and distribution patterns of wave-induced magnetic fields, this study employs the Pierson-Moskowitz wave spectrum combined with the JONSWAP spectrum and Weaver electromagnetic theory. Using Monte Carlo random sampling, it simulates the dynamic characteristics of a two-dimensional sea surface under varying wind speeds. Maxwell's equations are applied to formulate expressions for the wave-induced magnetic field. The primary focus is simulating the three-dimensional spatial distribution and spectral characteristics of the induced magnetic field under different wind speed scenarios. Simulation results indicate: The PM spectrum is suitable for describing fully developed sea conditions characterized by uniform wave energy distribution and gentle waveforms. The JONSWAP spectrum is more applicable to developing wind-driven waves, exhibiting concentrated energy, steep waveforms, and higher induced magnetic field intensities. As wind speed increases, both spectra exhibit a trend of peak frequency migration toward lower frequencies. The induced magnetic field amplitude corresponding to the JONSWAP spectrum is significantly higher than that of the PM spectrum. These findings provide theoretical and simulation support for noise modeling and signal extraction in marine electromagnetic detection.

KEYWORDS

Pierson-Moskowitz wave spectrum; JONSWAP spectrum; Wave-induced magnetic field

CITE THIS PAPER

XinTong Wang, JianSheng Zhang. Energy and magnetic field distribution characteristics of PM and JONSWAP Spectra. Multidisciplinary Journal of Engineering and Technology. 2025, 2(2): 6-16. DOI: https://doi.org/10.61784/mjet3031.

REFERENCES

[1] Pierson W J, Moskowitz L. A Proposed Spectral Form for Fully Developed Wind Seas Based on the Similarity Theory of S. A. Kitaigorodskii. Journal of Geophysical Research Atmospheres, 1963, 69(24):5181-5190.

[2] Weaver J T. Magnetic variations associated with ocean waves and swell. Journal of Geophysical Research, 1965, 70(8):1921-1929.

[3] Pedersen T, Lilley T, Hitchman A. Magnetic signals generated by ocean swells. Aseg Extended Abstracts, 2003, 2003:1-4.

[4] TANG Jinfei, GONG Shenguang, WANG Jingen. Calculation of the energy distribution of the wave-induced magnetic field based on the Neumann spectrum and the PM spectrum. Journal of Naval University of Engineering, 2001, 13(4): 82-86.

[5] ZHANG Zili, WEI Wenbo, LIU Baohua. Theoretical calculation of electromagnetic field induced by sea waves. Acta Oceanologica Sinica, 2008, 30(1): 42-46.

[6] Zhu X, Xia M. Magnetic Field Induced by Wake of Moving Body in Wind Waves. Progress In Electromagnetics Research, 2014, 149:109-118.

[7] Wang Wei. Simulation and Electromagnetic Calculation of Wake Trails from Surface Vessels . Xi'an University of Electronic Science and Technology, 2015.

[8] Zhang Baoqiang. Research on Suppression Methods for Electromagnetic Noise Induced by Ocean Waves Based on Wavelet Analysis of Marine Mt Data . Ocean University of China, 2018.

[9] LIN Zhiheng, LI Yuguo. Numerical calculation method of induced magnetic field by seawater motion. Journal of Ocean University of China (Natural Science Edition), 2019, 49(2): 74-78.

[10] ZHOU Chun, LI Yuguo, ZHANG Baoqiang. Numerical simulation and characteristic analysis of electromagnetic field induced by variable velocity seawater motion. Oceanologia et Limnologia Sinica, 2019, 50(2): 261-268.

[11] Zhang Jiansheng. Research and Measurement of Optical Characteristics of Wake Flow. Xi'an: Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, 2001.

[12] Zhang Chengji. Simulation of Ship Wakes and Characteristics of Induced Magnetic Field Distribution. Xi'an University of Technology, 2018.

[13] Xiao Chen. Electromagnetic Characteristics of Bubble Curtains in Ship Wakes. Xi'an University of Technology, 2016.

[14] YAN Linbo, ZHANG Jiansheng, DONG Min, et al. Characteristic Analysis and Simulation System Design of Multi-Ship Wake Magnetic Anomaly. Journal of Unmanned Undersea Systems, 2024, 32(5): 801-807.

[15] LAN Qing, YAN Linbo, REN Binbin. Simulation Analysis of Induced Electromagnetic Field in KCS Ship Wake . Journal of Unmanned Undersea Systems, 2024, 32(5): 818-822+832.

[16] Ye Anle, Li Fengqi. Physical Oceanography . Qingdao: Ocean University of China Press, 1990.

[17] MUNK W H. Directional recording of swell from distant storms.Phil Trans Roy Soc London, 1962, 254: 565-584.

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