Identifying Hydraulic Characteristics Related to Fishery Activities Using Numerical Analysis and an Automatic Identification System of a Fishing Vessel SCIE SCOPUS

Cited 2 time in WEB OF SCIENCE Cited 3 time in Scopus
Title
Identifying Hydraulic Characteristics Related to Fishery Activities Using Numerical Analysis and an Automatic Identification System of a Fishing Vessel
Author(s)
Jang, Sung-Chul; Jeong, Jin Yong; Lee, Seung Woo; Kim, Dong Ha
KIOST Author(s)
Jeong, Jin Yong(정진용)Kim, Dong Ha(김동하)
Alternative Author(s)
정진용; 이승우; 김동하
Publication Year
2022-11
Abstract
Many countries worldwide promote artificial reef projects to increase and preserve fishery resources; however, how artificial reefs form fisheries is unclear. Nevertheless, specific hydraulic features of artificial reefs may attract fish. We selected an underwater reef as a research site to clarify this hypothesis. In this study, environmental conditions around the underwater reef were modeled and quantitatively assessed using numerical analysis. We identified two hydraulic features related to fish attraction: the wake region and the local upwelling region. Their spatial distributions were superimposed on the path of a fishing vessel that was monitored using an automatic identification system (AIS). We showed that various hydraulic characteristics (such as wake region, local upwelling region, and flow velocity) identified in the path of the fishing vessel can be quantitatively evaluated. Increasing amounts of information from the AIS can be used to identify the hydraulic features that attract the most fish and therefore improve the productivities of artificial reefs.
ISSN
2077-1312
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/43460
DOI
10.3390/jmse10111619
Bibliographic Citation
Journal of Marine Science and Engineering , v.10, no.11, 2022
Publisher
MDPI AG
Keywords
fish activity; fish attraction; fishing vessel; numerical analysis; automatic identification system; underwater reef; wake region; local upwelling region; Ieodo ocean research station
Type
Article
Language
English
Document Type
Article
Files in This Item:
There are no files associated with this item.

qrcode

Items in ScienceWatch@KIOST are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse