A Review of the Problems Posed By Spills of Heavy Fuel Oils
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
ABSTRACT Experience shows that spills of persistent heavy fuel oils, whether from cargo carried on tankers or bunker fuel used by ships in general, are among the most difficult to combat. Because of their viscous nature, which leads to prolonged persistence in the marine environment, these oils have the potential to cause widespread contamination of sensitive environmental and economic resources. This is also true for heavy crude oils and those crudes that form viscous and persistent emulsions, and many of the observations contained in this paper apply equally to such oils. The paper highlights some of the specific problems that the International Tanker Owners Pollution Federation Limited (ITOPF) staff have experienced during their on-site involvement in over 150 fuel oil spills during the last 25 years including incidents such as the Eleni V (United Kingdom/Netherlands, 1978), Tanio (France, 1980), Nestucca (United States/Canada, 1988), Korea Hope (South Korea, 1990), Vista Bella (Caribbean, 1991), Katina P (Mozambique, 1992), Morris J Berman (Puerto Rico, 1994), Apollo Sea (South Africa), Iron Baron (Australia, 1995), Nakhodka (Japan, 1997), Evoikos (Singapore, 1997), Kure (United States, 1997), New Carissa (United States, 1999), Erika (France, 1999), Volgoneft 248 (Turkey, 1999), and Treasure (South Africa, 2000). This review of the practical lessons that can be learned from past events is intended to provide an informed basis for the selection of more effective response techniques and equipment, and for the development of improved spill response management and contingency planning.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it