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http://dx.doi.org/10.3796/KSFOT.2022.58.4.299

Estimation of leeway of jigging fishing vessels by external factors  

Chang-Heon, LEE (College of Ocean Sciences, Jeju National University)
Kwang-Il, KIM (College of Ocean Sciences, Jeju National University)
Joo-Sung, KIM (Division of Navigation Science, Mokpo National Maritime University)
Sang-Lok, YOO (Research Institute, Future Ocean Information Technology, Inc.)
Publication Information
Journal of the Korean Society of Fisheries and Ocean Technology / v.58, no.4, 2022 , pp. 299-309 More about this Journal
Abstract
Among the fishing vessels operating in the coastal waters, jigging fishing vessels were considered representative vessels engaged only by wind, sea, tide, and external force. Then, a fishing vessel with a length of shorter than 10 m from July 1, 2018 to August 5, 2019 was studied to obtain a drift prediction model by multiple regression analysis. In the correlation analysis between variables for leeway of speed and direction, the speed and direction of tidal seem to be the most affected in coastal waters. Therefore, it should be considered an explanatory variable when conducting drift tests. As a result of multiple regression analysis on the predicted equations of leeway speed and direction due to the external force on the drift of the fishing vessel, p < 0.000 was considered significant in the F-test, but the coefficient of determination was 55.2% and 37.8%. The effect on the predicted leeway speed was in the order of the tidal speed and current speed. In addition, the impact on the predicted leeway direction was in the order of the tidal speed and current speed. ŷ(m/s) = - 0.0011(x1) + 0.9206(x2) + 0.0001(x3) + 0.0002(x4) + 0.0050(x5) + 0.0529(x6) + 0.2457 ŷ(degree) = 0.6672(x1) + 93.1699(x2) + 0.0585(x3) - 0.0244(x4) - 1.2217(x5) + 4.6378(x6) - 0.0837
Keywords
Jigging fishing vessel; Multiple regression; Leeway; Predict equation; External factors;
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Times Cited By KSCI : 2  (Citation Analysis)
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