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http://dx.doi.org/10.7837/kosomes.2021.27.6.822

Determining Input Values for Dragging Anchor Assessments Using Regression Analysis  

Kang, Byung-Sun (Graduate School of Mokpo National Maritime University)
Jung, Chang-Hyun (Mokpo National Maritime University)
Publication Information
Journal of the Korean Society of Marine Environment & Safety / v.27, no.6, 2021 , pp. 822-831 More about this Journal
Abstract
Although programs have been developed to evaluate the risk of dragging anchors, it is practically difficult for VTS(vessel traffic service) operators to calculate and evaluate these risks by obtaining input factors from anchored ships. Therefore, in this study, the gross tonnage (GT) that could be easily obtained from the ship by the VTS operators was set as an independent variable, and linear and nonlinear regression analyses were performed using the input factors as the dependent variables. From comparing the fit of the polynomial model (linear) and power series model (nonlinear), the power series model was evaluated to be more suitable for all input factors in the case of container ships and bulk carriers. However, in the case of tanker ships, the power supply model was suitable for the LBP(length between perpendiculars), width, and draft, and the polynomial model was evaluated to be more suitable for the front wind pressure area, weight of the anchor, equipment number, and height of the hawse pipe from the bottom of the ship. In addition, all other dependent variables, except for the front wind pressure area factor of the tanker ship, showed high degrees of fit with a coefficient of determination (R-squared value) of 0.7 or more. Therefore, among the input factors of the dragging anchor risk assessment program, all factors except the external force, seabed quality, water depth, and amount of anchor chain let out are automatically applied by the regression analysis model formula when only the GT of the ship is provided.
Keywords
Risk of dragging anchor; Input factors; VTS operator; Regression analysis; R-squared;
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Times Cited By KSCI : 1  (Citation Analysis)
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