Investigation of Oil Spills from Oil Tankers through Grey Theory: Events from 1974 to 2016

Su, Dong-Taur; Tzu, Fu-Ming; Cheng, Chung-Hung

doi:10.3390/jmse7100373

Cited by 15 publications

(14 citation statements)

References 25 publications

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“…Assessing oil spills from tankers using real data from the past, the most significant factors or types of accidents found were collision, grounding, equipment failure, fire and explosion and ship sinking [54]. Maritime accidents are normally classified according to and attributed to their primary causal factors, which are referred to as called first event.…”

Section: Scenario Analysismentioning

confidence: 99%

Risk Assessment and Decision Support for Sustainable Traffic Safety in Hong Kong Waters

et al. 2020

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Hong Kong's port is one of the busiest in the world. Such heavy traffic is associated with a high accident rate. The present study uses Bayesian Networks to analyze accident risk in Hong Kong waters using 331 accident reports during the period of 1999-2017. The methodology adopted is comprised of an analysis of present literature and expert judgments for the determination of nodes and states. The calculation of probabilities and conditional probability tables (CPT) were done based solely on the real data in accident reports through parameter estimation. The results indicate that the highest portion of accidents was categorized as ''other'' with a probability of 0.5174. The majority of such accidents took place in port waters. The second highest category was ''collision'' with a probability of 0.2256. Both of these accident types were associated with the highest fatality rate-one or two people killed. Poor judgment, negligence and insufficient training were found to be the most influential factors with regard to human actions. The highest rate of injuries was associated with passenger ships. The results offer valuable insights into various accident scenarios which involve setting evidence at different states of consequences and accident types to determine the most prominent contributing factors. Sensitivity analysis was also conducted to recognize the most critical variables. This study should prove useful to decision and policy makers seeking to enhance sustainable safety in maritime traffic operations.INDEX TERMS Accident risk, potential consequences, Bayesian networks, hong kong waters, maritime traffic safety.

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Section: Scenario Analysismentioning

confidence: 99%

Risk Assessment and Decision Support for Sustainable Traffic Safety in Hong Kong Waters

et al. 2020

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“…Among the 13 factors, improper lookout and improper ship handling were found to be the most unsafe factors, whereas improper routing plan and failure to fix were the least unsafe. Su et al [10] performed GRA to rank the types of oil spill accidents from oil tankers. Yu and Wu [11] found nine factors that influenced the development of the tourism industry the most in the Guangdong province of China.…”

Section: Literature Reviewmentioning

confidence: 99%

Classification of the Most Influential Maritime Accident Types using Grey Theory

Kim¹

2020

APJCRI

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In recent years, the number of maritime accidents in Korean waters has been increasing dramatically. Fishing vessel accidents account for around 70% of all accidents. However, there have been limited studies on fishing vessel accidents relative to non-fishing vessel accidents. The government has announced maritime plans to reduce both the frequency of these accidents, as well as the fatalities resulting from them. The purpose of the research is to identify the influential accident types on accident frequency and fatality. We accordingly classify the major accident types leading to fishing vessel accidents into two categories, frequency and fatality, using grey relational analysis which is an efficient ranking technique to determine the most influential accident types. For this study, data from nine types of fishing vessel accidents over the last 5 years (2014 to 2018) are used. The results show that for frequency category, engine failure, others, collision, and safety precautions were the most influencing types, whereas touching and sinking were shown to be the least influencing accident types. For fatality category, safety precautions, collision, and grounding were the most influencing accident types whereas touching, engine failure, and others were the least influencing accident types. The findings demonstrate that more attention should be paid to engine failure and safety precautions to reduce maritime accidents.

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“…1,21 Compared to 2D membrane materials, 3D porous adsorbents are promising candidates for oil−water separation because of their high porosity, abundant interconnected channels, and easy, costeffective operation. 6,15,22−24 Recently, aerogels have attracted significance attention in the fields of oil−water separation and thermal insulation because of their extremely low density (0.003−0.5 g/cm 3 ), high porosity (80−99.8%), and large specific surface area (500− 1200 m 2 /g). 25−27 Nevertheless, traditional inorganic aerogels with pearl-necklace-like network structures, such as SiO 2 or Al 2 O 3 aerogels, 28,29 cannot be used for these purposes because of their high brittleness 30 and weak mechanical strength.…”

Section: ■ Introductionmentioning

confidence: 99%

Elastic Agarose Nanowire Aerogels for Oil–Water Separation and Thermal Insulation

Yang

Jiang

Xiao

et al. 2022

ACS Appl. Nano Mater.

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Problems resulting from the emission of crude oil, toxic organic solvents, and petroleum products, as well as massive heat dissipation from industrial pipes, have threatened ecosystems, human health, and industrial production. Eco-friendly and biodegradable natural materials are considered as the most promising absorbents or thermal insulation materials for oil−water separation and thermal insulation. In this work, agarose nanowire aerogels (ANAs) prepared from agarose (AG) solution were synthesized without any chemical reaction or chemical crosslinking agents to form AG hydrogels followed by supercritical CO 2 (SC-CO 2 ) drying. Then, hydrophobic agarose nanowire aerogels (HANAs) were obtained through a simple chemical vapor deposition (CVD) approach using methyltrimethoxysilane and methyltrichlorosilane. The gel skeleton of the HANAs after CVD was isometrically covered by a rigid silica coating with methyl on the ANA surface to improve flexibility, resulting in not only excellent self-cleaning and hydrophobicity with a water contact angle of 142°but also outstanding elasticity. Furthermore, the as-synthesized HANAs exhibited low density (≤0.09 g/cm 3 ), a large specific surface area (≥210.5 m 2 /g), and high porosity (94.9−98.7%). Hence, the HANAs displayed high absorption capacities (approximately 48.2 g/g of chloroform absorption capacity) and selectivity of oils and organic solvents. In addition, they also exhibited excellent thermal insulation performance under both hot and cold conditions. The designed HANAs are expected to provide a highly efficient method for oil−water separation and thermal insulation.

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Investigation of Oil Spills from Oil Tankers through Grey Theory: Events from 1974 to 2016

Cited by 15 publications

References 25 publications

Risk Assessment and Decision Support for Sustainable Traffic Safety in Hong Kong Waters

Risk Assessment and Decision Support for Sustainable Traffic Safety in Hong Kong Waters

Classification of the Most Influential Maritime Accident Types using Grey Theory

Elastic Agarose Nanowire Aerogels for Oil–Water Separation and Thermal Insulation

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