Scholarlink

The transportation of liquefied natural gas (LNG) is associated with significant risks due to its flammability and potential for explosions. Consequently, LNG carriers are subject to strict safety protocols, and no LNG carriers currently operate on China’s inland rivers. To ensure the safe navigation of LNG carriers on the Yangtze River in the future, it is crucial to identify and assess the key risk factors involved.This study selected the lower reaches of the Yangtze River, which is used to evaluate the risk of liquefied natural gas transportation navigation. Drawing on the Delphi method and expert opinions, we identified 12 critical risk factors across four dimensions: human factors, vessel conditions, environmental influences, and management systems. These were used to develop a comprehensive risk evaluation index system. To minimize subjective bias in assessing risk, the entropy-weighted fuzzy model was employed to calculate the relative importance of risk factors and to conduct both segmented and overall evaluations of navigation risks in the Baimaosha channel. The results were further validated using the cloud model, confirming the reliability and feasibility of the proposed approach. This method offers valuable technical insights for enhancing the of LNG carriers’ navigational safety navigating inland rivers and contributes to risk management strategies for future operations on the Yangtze River.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Analysis of LNG Carrier Navigational Risks in Inland Rivers Using an Entropy-Cloud Model

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Shengli Zhang,
  • Qinyang Chen,
  • Shuqing Cao,
  • Quan Wu

摘要

The transportation of liquefied natural gas (LNG) is associated with significant risks due to its flammability and potential for explosions. Consequently, LNG carriers are subject to strict safety protocols, and no LNG carriers currently operate on China’s inland rivers. To ensure the safe navigation of LNG carriers on the Yangtze River in the future, it is crucial to identify and assess the key risk factors involved.This study selected the lower reaches of the Yangtze River, which is used to evaluate the risk of liquefied natural gas transportation navigation. Drawing on the Delphi method and expert opinions, we identified 12 critical risk factors across four dimensions: human factors, vessel conditions, environmental influences, and management systems. These were used to develop a comprehensive risk evaluation index system. To minimize subjective bias in assessing risk, the entropy-weighted fuzzy model was employed to calculate the relative importance of risk factors and to conduct both segmented and overall evaluations of navigation risks in the Baimaosha channel. The results were further validated using the cloud model, confirming the reliability and feasibility of the proposed approach. This method offers valuable technical insights for enhancing the of LNG carriers’ navigational safety navigating inland rivers and contributes to risk management strategies for future operations on the Yangtze River.