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Record W2326675523 · doi:10.1061/9780784413272.209

Cortland-Homer Former MGP Remediation-A Case History

2014· article· en· W2326675523 on OpenAlexaff
Carsten H. Floess, Matthew Thorpe, Tracy Blazicek, Darin Payne, Scott A. Underhill

Bibliographic record

VenueGeo-Congress 2014 Technical Papers · 2014
Typearticle
Languageen
FieldEngineering
TopicGrouting, Rheology, and Soil Mechanics
Canadian institutionsKensington Health
Fundersnot available
KeywordsEnvironmental remediationSoil waterExcavationEnvironmental scienceMining engineeringDrillingOutwash plainCivil engineeringEngineeringGeologyPetroleum engineeringGlacial periodGeotechnical engineeringSoil scienceMechanical engineeringContamination

Abstract

fetched live from OpenAlex

An integrated approach was used to remediate the Cortland-Homer former Manufactured Gas Plant in Homer, New York. The record of decision (ROD) for the former plant area required excavation of impacted soils to depths of nearly 14 m. In contrast, the ROD for the area downgradient of the former plant called for in situ solidification (ISS). The former plant area and the downgradient area are separated by U.S. Route 11, and impacted soils under the roadway were judged inaccessible. New York State Electric & Gas (NYSEG) and AECOM jointly proposed an alternative, integrated remedy, using auger-mix ISS treatment in both areas. This alternative facilitated installation of vertical barrier walls to contain impacted soils under the highway, enhancing the remedy's overall effectiveness. It also resulted in substantial cost savings. This paper summarizes the remediation design and construction. It discusses the use of rotosonic drilling to characterize coarse-grained glacial outwash soils, with focus on determining the size and frequency of cobbles and boulders. Furthermore, it reviews laboratory bench studies that were used to develop preliminary ISS mix designs and subsequent field trials to optimize the ISS grout mix. Construction is also discussed, including lessons learned.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.564
Threshold uncertainty score1.000

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 head0.008
GPT teacher head0.197
Teacher spread0.189 · 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.

Study designNot applicable
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
Published2014
Admission routes1
Has abstractyes

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