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Record W2338611824 · doi:10.14288/1.0094724

Towards a national infrastructure strategy: water distribution systems : a case study

2009· article· en· W2338611824 on OpenAlexaboutno aff
Randall James Boras

Bibliographic record

VenuecIRcle (University of British Columbia) · 2009
Typearticle
Languageen
FieldEngineering
TopicWater Systems and Optimization
Canadian institutionsnot available
Fundersnot available
KeywordsDistribution (mathematics)BusinessEnvironmental planningEnvironmental resource managementEnvironmental scienceMathematics

Abstract

fetched live from OpenAlex

Treated water distribution systems in North America represent a major component of the physical infrastructure in dire need of closer attention by the regulatory bodies, local, regional and national governments, and the public in general. The problems identified by the media over the past decade have been limited to pictures of collapsing or deteriorating pipes. The real problems run much deeper. Reduced government funding over the years, changing public priorities, and a lack of comprehensive information required to accurately define the problems have plagued the overall management of water systems in Canada and the United States. This thesis provides an overview to municipal water distribution systems in Canada, investigating not only the physical processes responsible for the deterioration of such systems, but the historical impetus associated with the development of such systems, the physical profile of the systems unique within Canada, the changing social environment surrounding aged systems, and the real costs associated with repairing worn out systems. Existing historical information is gathered from a variety of sources to profile the Canadian systems. Research by governments and lobby groups, especially the Federation of Canadian Municipalities, is reviewed and summarized. Technical information and current techniques for managing individual water systems are also reviewed. The information is then sysnthesized into a number of policy suggestions aimed at effective solutions to the current crisis and reviewed within the context of a small community in Greater Vancouver. There is no single magic formula to solving the problems, but rather a wide and varied combination of improvements which must be made over the broad spectrum of water distribution system management. National, provincial, and local bodies are all involved to some degree in the management decisions and all could utilize more effective management techniques which focus on better implementing already available technologies rather than developing new technologies. Rehabilitation decisions must be based on sound principles aimed at effectively protecting public interests, rather than techniques which are often geared more to the availability of grants rather than the actual condition of the pipes. Information important to the decision making process must, however, not be restricted to the decision makers. Polls have shown that public interest and concern over drinking water issues is typically very low, and is only heightened by crisis-type situations. This was very evident in the recent federal election, where suggestions by the Liberal party to implement an infrastructure program were often met by ridicule and cynicism, considered as opportunistic spending aimed only at securing the votes of the unemployed, rather than any legitimate concern for public health or economic benefit. In recent months the Liberal party has formed the new federal government and has committed an infrastructure program, having set aside $2 billion to solving what may now be a $30 billion infrastructure problem in Canada. To maintain the public faith and to assure these limited funds are used effectively, there is a real need for improved policies. This thesis will endeavour to provide the basic framework for a national policy to better manage the present and the future of the conduits which carry the gift of human life through our towns and cities - good, wholesome, clean, drinking water.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.928
Threshold uncertainty score0.968

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.006
GPT teacher head0.165
Teacher spread0.159 · 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 teacher head, 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
Published2009
Admission routes1
Has abstractyes

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