On the Fractal Characters of Seawater Temperature in the Kuroshio

Abstract:

The Kurshio can affect sonar detection notably. The software named Gis ArcView is used to identify the Kuroshio area by analyzing underwater acoustics data. And seawater temperature isolines are drawn based on the temperature data which are distributed at some intervals in terms of latitude and longitude. The box counting method is applied to calculating the fractal dimension of the Kuroshio seawater temperature isolines in different seasons at the depth of 60m and 150m.The results indicate that the fractal dimension at 150m deep is bigger than that at 60m, but the former fluctuates less than the latter.It is conformed to the facts about the Kuroshio. Acoustic wave is the best medium through which acoustic information can be well transmitted. In the Kurshio area where underwater acoustic environment is rather complex, many singular areas are formed in the three-dimension sound field, in which sonar detection and tracking will be affected to a great extent. However, with the development of remote sensing technologies, it is possible to observe and forecast such mid-scale phenomena as the Kurshio, ocean fronts and interwaves. Therefore, how to effectively extract and analyze the main characters of these phenomena is quite important for Navies. Some people still get used to judging Kurshio’s existence and even intensity as well by simple criteria for a long time. For example, when the exchange of seawater temperature is exceeds 0.1°C/n mile, it will be considered that an ocean front exists. This criterion in fact is so ambiguous not only in this regard, but also in describing the Kurshio’s intensity[1]. In vies of this, the author operates the software, GIS ArcView, to extract and analyze the Kurshio, and take the box counting method[2] to calculate out the fractal dimensions in the area between 20º~30º N and 120 º~130ºE respectively at the depths of 60m and 150m.

• Periodical: Advanced Materials Research (Volumes 403-408)
• Pages: 2931-2935
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.403-408.2931
• Online since: November 2011
• Authors: Yan Xia Zhou, Mei Han, Liang Long Da
• Keywords: Fractal Dimension, Intensity, Ocean Front

References

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[3] Zhu Xiaohua. Cha Yong. Application of MapInfo and ArcView GIS in calculating fractal dimension of lines. Journal of Geomatics, 2002. 10 27(5).

[4] Li Yuyang. The research on Kuroshio feaure model building and it's visualization. Journal of system simulation. 2009. 21(12).