Abstract

With the rapid development of international trade and the fast growth of port freight volumes, the risk of ship pollution in marine areas has significantly increased. Frequent ship pollution accidents seriously endanger marine ecosystems and are extremely unfavorable to economic development and marine environmental protection. In this study, we investigate the results of emergency responses after ship pollution accidents and analyze the factors affecting a successful emergency response. A Bayesian network model of the emergency response results of ship pollution is established, and the emergency response results of ship pollution accidents in the example of Zhoushan Port are analyzed. Based on the analysis, suggestions for strengthening the emergency preparedness of Zhoushan Port are proposed. We believe that the results of this are beneficial for improving ship pollution risk management and decision making, and that they have practical significance for marine environmental protection.

Highlights

  • Accidental spills or intentional discharge of oily wastes into the sea can lead to marine ship pollution

  • We concluded that the factors affecting the successful emergency response are primarily the environment, emergency response time, and emergency response capacity

  • A ship pollution emergency response model based on a Bayesian network was constructed, and the model parameters were estimated according to the actual weather, hydrology, and emergency resources and personnel at Zhoushan Port

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Summary

Introduction

Accidental spills or intentional discharge of oily wastes into the sea can lead to marine ship pollution. Ship accidents such as collisions, groundings, and explosions are the main causes of large-scale oil and chemical spills. Proper emergency preparedness must be undertaken to protect the marine environment from serious oil and chemical spill incidents. Successful emergency responses to ship pollution accidents are affected by emergency preparedness and the environment, i.e., time urgency, resource constraints, and environmental constraints. It is essential to identify and analyze the factors influencing emergency responses to ship accident pollution and identify the most important influencing factors to prevent failure in such responses.

Literature Review
Bayesian Networks
Influencing Factors of Emergency Response
Bayesian Network Model for Ship Pollution Emergency Response
Sensitivity Analysis
Suggestions for Strengthening the Emergency Capacity of Zhoushan Port
Strengthen the construction of emergency equipment and facilities
Strengthen the construction of emergency response teams
Conclusions
Full Text
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