Article

The Characteristics and Advantages of Deepwater Ultra-Large Marine Ranches

1 Ship and Maritime college, Guangdong Ocean University, Zhanjiang 524088, China
2 Guangdong Provincial Key Laboratory of Intelligent Equipment for South China Sea Marine Ranching,Guangdong Ocean University, Zhanjiang 524088, China

https://doi.org/10.58531/esmmsi/1/4/4

Received: 31 October 2024 / Accepted: 20 December 2024 / Published: 21 December 2024

Marine ranching is generally acknowledged to possess immense practical significance in the exploitation of marine resources across the globe. The term " Deep-sea " denotes waters situated more than ten kilometers away from the coastline or exceeding a depth of twenty meters. Furthermore, as a nascent frontier in the evolution of marine fisheries, Deepwater Ultra-Large Marine Ranches is currently demonstrating a dynamic and thriving trend. On a global scale, several countries that are pioneers in marine technology have spearheaded the construction of such ranches, and China is actively keeping pace, resulting in the development of new technologies that have significantly propelled the advancement of marine ranching. This article undertakes a comprehensive analysis of the current state of marine ranching and the development of Deepwater Ultra-Large Marine Ranches. It thoroughly compares traditional marine ranching with Deepwater Ultra-Large Marine Ranches in terms of economic efficiency, environmental friendliness, and technical sophistication, while highlighting their respective advantages. Additionally, it provides detailed descriptions of technologies such as the deployment of various ultra-large-scale net cages, their future prospects, and the challenges they pose. Moreover, the article delves into the structures of these net cages and the progress of related research. Lastly, it discusses the challenges currently faced by marine ranching and explores the future trends and technological advancements in its development.

Marine Ranching; Marine Biodiversity; Artificial Reef

Zhang Y., Li T., Lin J., Zhang D. Machine Learning Based on Underwater Communication Technology. Eng. Solut. Mech. Mar. Struct. Infrastruct., 2024, 1(4), doi: 10.58531/esmmsi/1/4/4


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