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Record W3116375504 · doi:10.1002/jeq2.20187

Groundwater nitrogen and chloride following closure of an earthen manure storage in southern Alberta

2020· article· en· W3116375504 on OpenAlexaffabout
Jacqueline Köhn, Mike Iwanyshyn, Barry M. Olson

Bibliographic record

VenueJournal of Environmental Quality · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicWastewater Treatment and Reuse
Canadian institutionsAgriculture Food and Rural DevelopmentAlberta Ministry of Agriculture and Forestry
Fundersnot available
KeywordsGroundwaterEnvironmental scienceClosure (psychology)Hydrology (agriculture)ManurePlumePiezometerWater qualityContaminationEnvironmental engineeringAquiferGeologyGeographyAgronomyEcologyBiologyGeotechnical engineering

Abstract

fetched live from OpenAlex

Abstract Earthen manure storage (EMS) facilities no longer in operation present a risk to the environment, and there is limited guidance to support the planning and implementation of EMS closures. A combined dairy and feedlot in southern Alberta, Canada, had an EMS in operation for about 55 yr. The dairy portion ceased operation in 2015, and the EMS was emptied; however, no specific steps for permanent closure to minimize possible contamination were followed. The objective of this study was to document changes in shallow groundwater quality following an EMS closure. This EMS was already instrumented to assess its effect on the groundwater quality as part of a long‐term study prior to closure. Eight groundwater monitoring wells were installed 2–38 m from the EMS in up‐ and downgradient positions in 2010 and 2011. Groundwater samples were collected about three times annually prior to and for 4 yr after the EMS closure and were analyzed for NO 3 –N, NH 3 –N, and Cl − . Wells screened at more than 8 m deep were not affected by the EMS prior to or after closure. However, in shallower wells, groundwater NO 3 –N concentration increased to a maximum 3 yr after closure (in 2018) and then decreased afterward. In a shallow well 40 m downgradient from the EMS, the NO 3 –N concentrations decreased from 31 mg L −1 in 2015 to 5 mg L −1 in 2019, and the Cl − concentration decreased from 64 to 53 mg L −1 , suggesting the contamination plume had dispersed. However, the EMS was still a source of contamination because high concentrations of NO 3 –N (0.05–40 mg L −1 ) and Cl − (43–862 mg L −1 ) were present in wells adjacent to the EMS 4 yr after closure.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.593

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)0.0010.000

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 head0.015
GPT teacher head0.230
Teacher spread0.215 · 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

Citations3
Published2020
Admission routes2
Has abstractyes

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