Work

Development of a Risk Assessment System for Navigational Obstacles Considering Collision and Pollution Risks

Year: 2025

Type: article

Abstract: Navigational obstacles can impede safe vessel operation and cause secondary accidents, neces-sitating their rapid removal. To conduct these removal operations efficiently, it is necessary to comprehensively assess the effects of obstacles on both collision and pollution risks. However, comprehensive risk assessments that simultaneously consider both collision and pollution risks are lacking. In this study, a navigational obstacle risk assessment system based on the fuzzy set theory was developed to support the rapid removal of obstacles. The system comprises three main components: (i) a collision risk assessment model utilizing Monte Carlo simulation, (ii) a pollution risk assessment model employing a hazard management structure for sinking vessels, and (iii) a fuzzy set-based evaluation system that integrates risk indices derived from these models to infer the comprehensive risk. The results of the simulation-based case study confirm that the developed system provides reliable risk assessment by comprehensively considering both the collision and pollution risks. The system is sensitive to changes in the risk levels and effectively reflects the realistic conditions, thereby overcoming the limitations of existing research. This demonstrates its potential as a valuable tool for decision making for rapid removal of navigational obstacles.

Source: Applied Sciences

DOI: 10.3390/app15052325

Authors: Daehan Lee, Ho Namgung, Sang-Lok Yoo

Institution: Mokpo National Maritime University

Language: English

Topic: Maritime Navigation and Safety

Subfield: Ocean Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,896

Funder: National Research Foundation of Korea