@article{Pei2025, 
author = {Jianxin Pei and Qi Wang and Jialin Chen and Furong Ji},
title = {Velocity Profile Inversion by Nodal Constrained Genetic Algorithm Based on Electromagnetic Data of Marine Environment},
year = {2025},
journal = {Periodical of Ocean University of China},
volume = {55},
number = {2},
pages = {78-88},
keywords = {marine environmental electromagnetic field, genetic algorithm, node constraint, velocity inversion},
url = {https://www.sciopen.com/article/10.16441/j.cnki.hdxb.20240012},
doi = {10.16441/j.cnki.hdxb.20240012},
abstract = {The motion of seawater cutting the geomagnetic field will generate induced electromagnetic field, which is an important part of the electromagnetic field in the Marine environment. In order to enrich the methods for obtaining parameters of Marine dynamic environment and further verify the reliability of the actual electromagnetic field observation results in Marine environment, this paper uses the difference between simulated magnetic field and measured magnetic field to construct an objective function, and proposes a method to invert the velocity profile from the electromagnetic field induced by seawater motion based on the vertical array node observation constrained genetic algorithm. A seawater model is constructed based on the observed velocity data in the South China Sea. The inversion test results show that the inversion velocity has a high correlation with the model velocity and good noise resistance performance under the node constraint. The inversion results of the measured electromagnetic data of the Marine environment in the South China Sea show that the inversion velocity profile is in good agreement with the observed data of ADCP in the overall trend and detail characterization, which verifies that the inversion method has good practical application value.}
}