Integration of multi-technology on oil spill emergency preparedness

Liao, Zhenliang; Hannam, Phillip M.; Xia, Xiaowei; Zhao, Tingting

doi:10.1016/j.marpolbul.2012.07.015

Cited by 11 publications

(5 citation statements)

References 38 publications

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“…They laid out the theoretical framework for generalised emergency response DSSs. They have also built an integrated methodology 22,23 for developing an oil spill emergency preparedness tool which incorporates three intelligent mathematical model systemscase-based reasoning (CBR), genetic algorithm (GA) and ANN.…”

Section: Windows-of-opportunity Technologymentioning

confidence: 99%

Oil spill problems and sustainable response strategies through new technologies

Ившина

Kuyukina

Krivoruchko

et al. 2015

Environ. Sci.: Processes Impacts

278

137

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Crude oil and petroleum products are widespread water and soil pollutants resulting from marine and terrestrial spillages. International statistics of oil spill sizes for all incidents indicate that the majority of oil spills are small (less than 7 tonnes). The major accidents that happen in the oil industry contribute only a small fraction of the total oil which enters the environment. However, the nature of accidental releases is that they highly pollute small areas and have the potential to devastate the biota locally. There are several routes by which oil can get back to humans from accidental spills, e.g. through accumulation in fish and shellfish, through consumption of contaminated groundwater. Although advances have been made in the prevention of accidents, this does not apply in all countries, and by the random nature of oil spill events, total prevention is not feasible. Therefore, considerable world-wide effort has gone into strategies for minimising accidental spills and the design of new remedial technologies. This paper summarizes new knowledge as well as research and technology gaps essential for developing appropriate decision-making tools in actual spill scenarios. Since oil exploration is being driven into deeper waters and more remote, fragile environments, the risk of future accidents becomes much higher. The innovative safety and accident prevention approaches summarized in this paper are currently important for a range of stakeholders, including the oil industry, the scientific community and the public. Ultimately an integrated approach to prevention and remediation that accelerates an early warning protocol in the event of a spill would get the most appropriate technology selected and implemented as early as possible - the first few hours after a spill are crucial to the outcome of the remedial effort. A particular focus is made on bioremediation as environmentally harmless, cost-effective and relatively inexpensive technology. Greater penetration into the remedial technologies market depends on the harmonization of environment legislation and the application of modern laboratory techniques, e.g. ecogenomics, to improve the predictability of bioremediation.

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Section: Windows-of-opportunity Technologymentioning

confidence: 99%

Oil spill problems and sustainable response strategies through new technologies

Ившина

Kuyukina

Krivoruchko

et al. 2015

Environ. Sci.: Processes Impacts

278

137

View full text Add to dashboard Cite

show abstract

“…In recent years, maritime literature has paid particular attention to oil spill and prevention studies. (Lin et al,2013;Santos et al,2013;Knol and Arbo,2014;Huntington et al,2015;Aguilera et al,2016;Liao et al, 2012;Afenyo et al, 2017;Ivanova,2011;Castanedo et al,2006;Palsson et al,2018). Moreover, a number of studies have focused on emergency preparedness in the supply chain (Markmann et al,2013;Kwesi-Buor et al, 2016;Asgari et al,2015;Pitilakis et al, 2016;Wood et al, 2002;Hale and Moberg, 2005).…”

Section: Introductionmentioning

confidence: 99%

Prediction of Emergency Preparedness Level On-Board Ships Using Discrete Event Simulation: the Case of Firefighting Drill

Tac

Celik

2022

Trans. Marit. Sci.

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This paper proposes a hybrid approach, including Fuzzy Dematel (FD) integrated with Discrete Event Simulation (DES), to predict emergency preparedness levels on-board ships. The FD used critical factors that affect emergency preparedness to conduct a DES based on real firefighting drill records collected from 45 merchant ships. The simulation results showed the average duration of on-board drills in ideal conditions (27.47 min.), in the worst-case scenario (51.49 min.), for Ship A (29.99 min.), and Ship B (28.12 min.). Based on the findings, recovery actions linked to the factors have been recommended to promote on-board implementation. The proposed model is of great importance to shore-based managers, allowing them to monitor the emergency preparedness level of the fleet continuously, even during pandemics. Further studies are planned to develop a remote monitoring system that would digitalize the existing response procedures in emergency situations.

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“…Among all the studies of emergency response, a large amount of research has focused on oil spills, flooding, and passenger evacuation . These accidents can be trigged by the lack of control of ships, and then an incident caused by rudder failure, main engine failure, or blackout requires an earlier stage of emergency response than the aforementioned accidents.…”

Section: Introductionmentioning

confidence: 99%

Three‐Stage Decision‐Making Model under Restricted Conditions for Emergency Response to Ships Not under Control

Yan

Wang

et al. 2017

Risk Analysis

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A ship that is not under control (NUC) is a typical incident that poses serious problems when in confined waters close to shore. The emergency response to NUC ships is to select the best risk control options, which is a challenge in restricted conditions (e.g., time limitation, resource constraint, and information asymmetry), particularly in inland waterway transportation. To enable a quick and effective response, this article develops a three-stage decision-making framework for NUC ship handling. The core of this method is (1) to propose feasible options for each involved entity (e.g., maritime safety administration, NUC ship, and ships passing by) under resource constraint in the first stage, (2) to select the most feasible options by comparing the similarity of the new case and existing cases in the second stage, and (3) to make decisions considering the cooperation between the involved organizations by using a developed Bayesian network in the third stage. Consequently, this work provides a useful tool to achieve well-organized management of NUC ships.

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Integration of multi-technology on oil spill emergency preparedness

Cited by 11 publications

References 38 publications

Oil spill problems and sustainable response strategies through new technologies

Oil spill problems and sustainable response strategies through new technologies

Prediction of Emergency Preparedness Level On-Board Ships Using Discrete Event Simulation: the Case of Firefighting Drill

Three‐Stage Decision‐Making Model under Restricted Conditions for Emergency Response to Ships Not under Control

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