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Record W2983622703 · doi:10.1080/07011784.2019.1685909

Bulk water extraction charge calculator: a tool for sustainable water management in Ontario

2019· article· en· W2983622703 on OpenAlexaffvenueabout
Guneet Sandhu, Michael O. Wood, Horatiu A. Rus, Olaf Weber

Bibliographic record

VenueCanadian Water Resources Journal / Revue canadienne des ressources hydriques · 2019
Typearticle
Languageen
FieldEngineering
TopicWater resources management and optimization
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsWater resourcesResource (disambiguation)Water useEnvironmental economicsBusinessEnvironmental resource managementNatural resource economicsWater resource managementEnvironmental planningEnvironmental scienceEconomicsComputer science

Abstract

fetched live from OpenAlex

Given growing anthropogenic pressures on water resources and uncertain climatic conditions, sustainable water management using effective demand management strategies will be crucial to tread the path towards sustainable development. This paper makes a contribution to the interdisciplinary realm of water management by designing a flexible tool that overcomes the weaknesses of current extraction charges and reliance on general taxes to finance water management initiatives. These dynamic water extraction charges are envisioned to be important policy instruments to increase water security in Ontario. To ensure sustainable use of provincial water resources, the province of Ontario not only extended the moratorium imposed in 2016 on new groundwater extraction permits for water bottling until 1 January 2020, but is also reviewing its water taking policies. While the moratorium and the extraction charge hike of $500/Million liters is focused on water bottlers, the need for more long-term comprehensive policy approaches to sustainable management is apparent. Economic theory suggests that pricing a resource by reflecting its economic value and scarcity can incentivize optimal consumption. While economic instruments like extraction charges exist in Ontario, a methodological calculation linking the level of these charges to the actual costs and hydrological water risks is largely lacking. Addressing this gap, this paper designs a calculator that operationalizes the conceptual pricing framework for Ontario to transparently arrive at water extraction charges. The public cost data for water resource management initiatives are considered along with extreme water contamination events as contingency environmental costs. Using data from Statistics Canada for annual volume of water withdrawn, the base provincial water extraction charge for all permit liable sectors is calculated to be $23.08/Million liters. Moreover, price multipliers reflecting the sub-watershed scale water quantity risks (identified in sub-watershed source protection assessment reports) along with sector and source specific risks were embedded in the calculator.

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)0.002
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Software · Consensus signal: none
Teacher disagreement score0.168
Threshold uncertainty score0.337

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0040.007
Science and technology studies0.0020.001
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0200.004

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 head0.008
GPT teacher head0.178
Teacher spread0.170 · 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 designNot applicable
Domainnot available
GenreSoftware

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

Citations6
Published2019
Admission routes3
Has abstractyes

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