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Record W2299259095 · doi:10.14288/1.0101933

The demand for modern drybulk terminals on the Canadian west coast and some planning implications

2011· article· en· W2299259095 on OpenAlexaboutno aff

Bibliographic record

VenueOpen Collections · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicCoastal and Marine Management
Canadian institutionsnot available
Fundersnot available
KeywordsWest coastGeographyBusinessEnvironmental planningOceanographyGeology

Abstract

fetched live from OpenAlex

The increased scale of some operations, in certain industries, necessitates the input of very large quantities of raw materials. These are frequently far removed from the centres of processing—resulting in high transportation costs. It has been found that this increase in trade and in the scale of commodity movement has, during the past decade, lead to the introduction of the super bulk carrier. The study shows that the use of very large ships reduces transport costs significantly and at the same time provides industry with the size of shipment required for large scale operation. These dry bulk vessels involve a huge capital outlay and must move large quantities each year in order to turn a profit—the profitable use of these large vessels depends on a reduction in port time. Ship's time in port can be reduced by increasing the rate of loading. To increase the rate of materials handled it is necessary either to have a sufficient stockpile on hand or to supply the terminal at a rate which would allow continuous loading from the train to the ship. A transportation system utilizing large ships is examined; the components or sub-systems are identified and their individual requirements determined. It is shown that the introduction of super bulk carriers has necessitated changes in the design of terminal as well as in the inland transportation system. The cost of these changes, however, is more than offset by the savings resulting from the use of the super carriers and improvements in inland transportation. The study investigates world commodity trade, identifies those raw materials which are transported in bulk carriers, and isolates the commodities which move in sufficient quantities to allow the employment of super bulk carriers. Exports and imports through West Coast Canadian ports are examined to determine if the same or additional products could utilize these large vessels in the Canadian context. The study concludes that coal is the only commodity which will move through a British Columbia port consistently in super bulk carriers and that the destination will be Japan. It is also shown that after 1975 there will be a requirement for an additional bulk terminal berth and that a second berth will be required before 1985. Utilization of the new technology for the land and sea components has necessitated that new criteria be developed for the selection of marine terminal sites. The scale of new facilities in turn, has made the non-technical considerations of greater importance than in the past. The requirements for super bulk carriers are more stringent than for conventional ships. The study points out that, in the provision and operation of suitable facilities, conflicts can arise due to (a) the requirement for large amounts, up to 100 acres per berth, of level land, (b) maintenance of water depth in channel and at the berth may require dredging, (c) unit train operation causing noise disturbance and conflicts with surface transportation, and (d) the dust pollution problem. It is recommended that when new marine terminals are being considered that the non-technical effects be given consideration along with the economic and physical requirements.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.048
Threshold uncertainty score0.345

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0050.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0270.001

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.

Opus teacher head0.044
GPT teacher head0.253
Teacher spread0.210 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2011
Admission routes1
Has abstractyes

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