Relevant bibliographies by topics / Braer (Ship)

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Academic literature on the topic 'Braer (Ship)'

Author: Grafiati
Published: 4 June 2021
Last updated: 18 February 2022

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Journal articles on the topic "Braer (Ship)"

1

Horrocks, Chris. "THE DONALDSON REPORT: IMPLICATIONS FOR THE SHIPPING INDUSTRY." International Oil Spill Conference Proceedings 1995, no. 1 (February 1, 1995): 821–24. http://dx.doi.org/10.7901/2169-3358-1995-1-821.

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ABSTRACT Following the grounding of the Braer off the coast of Shetland in January 1993 the British Government ordered an inquiry into the prevention of pollution from merchant shipping. The inquiry, chaired by Lord Donaldson, published its report on May 17, 1994, as Safer Ships, Cleaner Seas. The report contains 103 recommendations, many of them of potential significance to the international shipping industry. This paper analyzes some of the most important recommendations, offers a preliminary industry reaction to them, and concludes that the report will make a major contribution to the debate on ship safety and environmental protection.
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2

Sudhendar, H., and Martha Grabowski. "Evolution of Intelligent Shipboard Piloting Systems: A Distributed System for the St Lawrence Seaway." Journal of Navigation 49, no. 3 (September 1996): 362–76. http://dx.doi.org/10.1017/s037346330001359x.

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Safe navigation in restricted waters continues to be a perennial concern for ship owners, operators, navigators, and citizens. The Nieuw Amsterdam, a cruise ship which ran aground in Southeast Alaska in August 1994; the Royal Majesty, another cruise ship which ran aground 10 miles east of Nantucket Island in June 1995; and the Regent Star, which caught fire in Prince William Sound, Alaska on 22 July, 1995, are just a few of the recent incidents which remind us of the importance of safe navigation in restricted waters. Clearly, the Braer, the World Prodigy, and the Exxon Valdez provide other examples of the importance of safe navigation in close waters. Fire, collision, allisions and groundings can result if vessels navigating in such waters stray.
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3

Moore, William H., and Karlene H. Roberts. "SAFETY MANAGEMENT FOR THE MARITIME INDUSTRY: THE INTERNATIONAL SAFETY MANAGEMENT CODE." International Oil Spill Conference Proceedings 1995, no. 1 (February 1, 1995): 305–10. http://dx.doi.org/10.7901/2169-3358-1995-1-305.

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ABSTRACT It is widely accepted that more than 80 percent of all high-consequence marine disasters have been the result of human error (for example, the Exxon Valdez, Amoco Cadiz, and Braer incidents). In the wake of such accidents, it has become apparent that many of these human errors are the result of problems rooted in organizational errors. Though historically it has been a requirement that ship crews be properly certificated before going to sea, owners and operators have not been subject to regulatory requirements that certify their ability to safely manage the operations of their ships. The International Maritime Organization (IMO) has developed and recently adopted the International Management Code for the Safe Operation of Ships and for Pollution Prevention (the International Safety Management Code, or ISM Code), as a mandatory requirement under Chapter IX of the Safety of Life at Sea Convention (SOLAS). The ISM Code is the result of the IMO's commitment to addressing the human element in all aspects of the maritime industry. This paper discusses the safety management system concept behind the ISM Code and what it will mean for the marine industry. The safety management concept includes a number of new and challenging roles and responsibilities for owners, operators, regulators, insurance underwriters, and ship classification societies.
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4

Jacobsson, Måns. "THE BRAER: LEGAL ASPECTS OF A MAJOR OIL SPILL." International Oil Spill Conference Proceedings 1995, no. 1 (February 1, 1995): 721–28. http://dx.doi.org/10.7901/2169-3358-1995-1-721.

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ABSTRACT The International Oil Pollution Compensation Fund (IOPC Fund), an intergovernmental organization with 58 member states, has recently been involved in a major oil spill of great interest both legally and technically, namely, the Braer incident, which occurred in January 1993 in the United Kingdom. The Braer was laden with approximately 84,000 metric tons (t) of crude oil when it grounded off the Shetland Islands. The ship broke up and the entire cargo escaped into the sea. The United Kingdom Government and Shetland Islands Council incurred expenses for cleanup operations, but these costs were fairly limited, estimated at not greater than US$6 million. The incident resulted in a very large number of claims from small businesses and individuals who suffered economic losses. A local claims office was set up on Shetland to handle these claims. So far, over 1,000 claims have been settled and paid for, representing a total of almost US$45 million. These claims cover losses suffered by fishermen, salmon farmers, crofters, and owners of houses that became polluted by wind-blown oil spray. Many of these claims have given rise to difficult legal problems regarding the admissibility of claims for compensation, in particular those concerning so-called pure economic losses. This paper addresses the practical problems that have arisen in handling the claims and analyzes some of the legal problems encountered.
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5

Rozoff, Christopher M., and James P. Kossin. "New Probabilistic Forecast Models for the Prediction of Tropical Cyclone Rapid Intensification." Weather and Forecasting 26, no. 5 (October 1, 2011): 677–89. http://dx.doi.org/10.1175/waf-d-10-05059.1.

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Abstract The National Hurricane Center currently employs a skillful probabilistic rapid intensification index (RII) based on linear discriminant analysis of the environmental and satellite-derived features from the Statistical Hurricane Intensity Prediction Scheme (SHIPS) dataset. Probabilistic prediction of rapid intensity change in tropical cyclones is revisited here using two additional models: one based on logistic regression and the other on a naïve Bayesian framework. Each model incorporates data from the SHIPS dataset over both the North Atlantic and eastern North Pacific Ocean basins to provide the probability of exceeding the standard rapid intensification thresholds [25, 30, and 35 kt (24 h)−1] for 24 h into the future. The optimal SHIPS and satellite-based predictors of rapid intensification differ slightly between each probabilistic model and ocean basin, but each set of optimal predictors incorporates thermodynamic and dynamic aspects of the tropical cyclone’s environment (such as vertical wind shear) and its structure (such as departure from convective axisymmetry). Cross validation shows that both the logistic regression and Bayesian probabilistic models are skillful relative to climatology. Dependent testing indicates both models exhibit forecast skill that generally exceeds the skill of the present operational SHIPS-RII and a simple average of the probabilities provided by the logistic regression, Bayesian, and SHIPS-RII models provides greater skill than any individual model. For the rapid intensification threshold of 25 kt (24 h)−1, the three-member ensemble mean improves the Brier skill scores of the current operational SHIPS-RII by 33% in the North Atlantic and 52% in the eastern North Pacific.
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6

Lewis, William E., Christopher Rozoff, Stefano Alessandrini, and Luca Delle Monache. "Performance of the HWRF Rapid Intensification Analog Ensemble (HWRF RI-AnEn) during the 2017 and 2018 HFIP Real-Time Demonstrations." Weather and Forecasting 35, no. 3 (April 15, 2020): 841–56. http://dx.doi.org/10.1175/waf-d-19-0037.1.

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Abstract The performance of the Hurricane Weather Research and Forecasting (HWRF) Model Rapid Intensification Analog Ensemble (RI-AnEn) is evaluated for real-time forecasts made during the National Oceanic and Atmospheric Administration (NOAA)’s 2018 Hurricane Forecast Improvement Program (HFIP) demonstration. Using a variety of assessment tools (Brier skill score, reliability diagrams, ROC curves, ROC skill scores), RI-AnEn is shown to perform competitively compared to both the deterministic HWRF and current operational probabilistic RI forecast aids. The assessment is extended to include forecasts from the 2017 HFIP demonstration and shows that RI-AnEn is the only model with significant RI forecast skill at all lead times in the Atlantic and eastern Pacific basins. Though RI-AnEn is overconfident in its RI forecasts, it is generally well calibrated for all lead times. Furthermore, significance testing indicates that for the 2017–18 Atlantic and eastern Pacific sample, RI-AnEn is more skillful than HWRF at all lead times and better than most of the other probabilistic guidance at 48 and 72 h. ROC curves reveal that RI-AnEn offers a good combination of sensitivity and specificity, performing comparably to SHIPS-RII at all lead times in both basins. With respect to specific high-impact cases from the 2018 Atlantic season, performance of RI-AnEn ranges from excellent (Hurricane Michael) to poor (Hurricane Florence). The multiyear assessment and results for two high-impact case studies from 2018 indicate that, while promising, RI-AnEn requires further work to refine its performance as well as to accurately situate its effectiveness relative to other RI forecasts aids.
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7

Zhao, Xu, Ke Liao, Wei Wang, Junmei Xu, and Lingzhong Meng. "Can a deep learning model based on intraoperative time-series monitoring data predict post-hysterectomy quality of recovery?" Perioperative Medicine 10, no. 1 (April 6, 2021). http://dx.doi.org/10.1186/s13741-021-00178-4.

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Abstract Background Intraoperative physiological monitoring generates a large quantity of time-series data that might be associated with postoperative outcomes. Using a deep learning model based on intraoperative time-series monitoring data to predict postoperative quality of recovery has not been previously reported. Methods Perioperative data from female patients having laparoscopic hysterectomy were prospectively collected. Deep learning, logistic regression, support vector machine, and random forest models were trained using different datasets and evaluated by 5-fold cross-validation. The quality of recovery on postoperative day 1 was assessed using the Quality of Recovery-15 scale. The quality of recovery was dichotomized into satisfactory if the score ≥122 and unsatisfactory if <122. Models’ discrimination was estimated using the area under the receiver operating characteristics curve (AUROC). Models’ calibration was visualized using the calibration plot and appraised by the Brier score. The SHapley Additive exPlanation (SHAP) approach was used to characterize different input features’ contributions. Results Data from 699 patients were used for modeling. When using preoperative data only, all four models exhibited poor performance (AUROC ranging from 0.65 to 0.68). The inclusion of the intraoperative intervention and/or monitoring data improved the performance of the deep leaning, logistic regression, and random forest models but not the support vector machine model. The AUROC of the deep learning model based on the intraoperative monitoring data only was 0.77 (95% CI, 0.72–0.81), which was indistinct from that based on the intraoperative intervention data only (AUROC, 0.79; 95% CI, 0.75–0.82) and from that based on the preoperative, intraoperative intervention, and monitoring data combined (AUROC, 0.81; 95% CI, 0.78–0.83). In contrast, when using the intraoperative monitoring data only, the logistic regression model had an AUROC of 0.72 (95% CI, 0.68–0.77), and the random forest model had an AUROC of 0.74 (95% CI, 0.73–0.76). The Brier score of the deep learning model based on the intraoperative monitoring data was 0.177, which was lower than that of other models. Conclusions Deep learning based on intraoperative time-series monitoring data can predict post-hysterectomy quality of recovery. The use of intraoperative monitoring data for outcome prediction warrants further investigation. Trial registration This trial (Identifier: NCT03641625) was registered at ClinicalTrials.gov by the principal investigator, Lingzhong Meng, on August 22, 2018.
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Dissertations / Theses on the topic "Braer (Ship)"

1

Brauer, Helena [Verfasser]. "Untersuchungen zur biologischen Funktion von Mutationen in der Inositol-5-Phosphatase SHIP1 bei Patienten mit akuter myeloischer Leukämie / vorgelegt von Helena Brauer." 2011. http://d-nb.info/1010373196/34.

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Books on the topic "Braer (Ship)"

1

Great Britain. Marine Accident Investigation Branch. Report of the Chief Inspector ofMarine Accidents into the engine failure and subsequent grounding of the Motor Tanker Braer at Garths Ness, Shetland on 5 January 1993. London: HMSO, 1994.

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2

Great Britain. Department of Transport. Marine Pollution Control Unit. The Braer incident, Shetland Islands, January 1993: Report by the Marine Pollution Control Unit. London: HMSO, 1993.

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3

Ritchie, W. The environmental impact of the wreck of the Braer. Edinburgh: Scottish Office Environment Department, 1994.

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4

Heubeck, M. Dealing with the wildlife casualties of the Braer oil spill, Shetland, January 1993. Aberdeen: SOTEAG, 1995.

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5

1944-, Davies J. M., Topping G, and Royal Society of Edinburgh, eds. The impact of an oil spill in turbulent waters: The Braer : proceedings of a symposium held at the Royal Society of Edinburgh, 7-8 September 1995. Edinburgh: Stationery Office, 1997.

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