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Record W4365880 · doi:10.1139/m74-137

Organic matter amendment in copper mine tailings improving primary physical structure, water storage and native grass growth

2011· article· en· W4365880 on OpenAlexvenueno aff
Longbin Huang, Thomas Baumgartl, David Mulligan

Bibliographic record

VenueCanadian Journal of Microbiology · 2011
Typearticle
Languageen
FieldEngineering
TopicSoil and Unsaturated Flow
Canadian institutionsnot available
Fundersnot available
KeywordsTailingsAmendmentEnvironmental scienceOrganic matterLeachateWaste managementChemistryMetallurgyMaterials scienceEngineeringLaw

Abstract

fetched live from OpenAlex

The lack of macropore structure and hydraulic functions in base metal mine tailings poses primary constraints to plant establishment. Organic matter is fundamentally important to soil aggregation, structural stability and water infiltration, but is lacking in the finely ground tailings. The present study initially investigated effects of organic matter amendment on water infiltration and storage, and leachate chemistry and the growth of native grass species. A semiȬfield trial using 1 m3 square containers was established at a site adjacent to a large tailings storage facility at Ernest Henry Copper Mine (EHM), Cloncurry, Queensland, Australia. The amendment treatments include intact tailings (consolidated from directly deposited wet-slurry of tailings into a container), tailings (loose air-dry tailings without any amendment), 10% hay (loose tailings mixed with 10% v/v dry hay) and 20% hay (loose tailings mixed with 20% v/v dry hay). Two replicates of each treatment were surfaced with about 10 cm layer of black soil (vertisol), into which seed mix of six native grass species were directly sown in January 2011. In a separate set of containers (duplicates in each treatment), a pair of ceramic suction cups (20 cm and 80 cm below the surface) were horizontally inserted into the central position of a container for collecting leachates to monitor salt fluxes in the profiles. The observation that a lower volume of leachate solution was collected from the non-amended tailings suggests that the infiltration and storage of rainwater in the profile was limited without hay amendment. The initial results have demonstrated that the hay amendment was essential to successful grass growth and development to flowering and seed-setting, with > 80% surface coverage in the 20% hay containers at the flowering stage, in contrast to the low survival and poor growth of the grasses in the intact tailings and the loose tailings treatment. Meanwhile the hay amendment increased sulphate (up to 334 g SO42+/L), chloride (up to 7 g/L) and salinity (up to 51 mS/cm) in the pore water of the amended tailings. These results confirmed the argument that the physical and hydraulic constraints were the primary ones to the establishment of native grass community, rather than the chemistry of pore water in the tailings.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
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 head0.005
GPT teacher head0.155
Teacher spread0.151 · 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 designBench or experimental
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

Citations14
Published2011
Admission routes1
Has abstractyes

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