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Record W7132339575

Validation of environmental military threshold values for explosives in soil

2008· report· en· W7132339575 on OpenAlexvenueaboutno aff
Bernard Lachance, Pierre-Michel Bergeron, Virginie E. Bérubé, Geoffrey I. Sunahara, Pierre Yves Robidoux, Department of National Defence

Bibliographic record

VenueNPARC · 2008
Typereport
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsHuman healthSoil waterSoil qualityGood laboratory practiceSoil testSustainabilitySampling (signal processing)Soil PollutantsRisk assessment
DOInot available

Abstract

fetched live from OpenAlex

Firing practice and munitions testing inevitably result in the dispersion of Energetic Materials (EM) in the Canadian environment. As noted by the Auditor General in a report released in 2003, sites contaminated by energetic substances may present a risk for the ecological and/or human receptors that must be addressed by the Department of National Defence (DND). At the request of DND, the Applied ecotoxicology group of the Biotechnology Research Institute developed a set of Canadian military training soil quality guidelines (MTSQGs) that were actually ecological and human health military threshold values for EM. These values are now renamed Soil Concentrations for Military Training Sustainability (SCMTS). These values have been updated to consider the recent CCME methodology for ecological receptors. Also, the validation of the proposed values has been initiated. The validation process would serve to answer some questions regarding the threshold values for ecological receptors. Validation included sampling of various plants found at or near the training area and of accompanying soil in order to estimate contaminant transfer to biomass. The use of field bioassays allowed a preliminary estimation of the transfer from soil to soil invertebrates. In addition, reports of biological effects observed following laboratory exposure to field-collected soils were used to verify the safety of the derived guidelines. Even if laboratory experiments employing field soils do not really represent the real exposure conditions, they certainly are worth considering since they permit the evaluation of biological effects in tightly controlled conditions. From the literature search, it was found that there were no data concerning new ecological receptors, except in the case of RDX. The recalculated soil contact values for the 2,4- and 2,6-dinitrotoluene isomers are similar to the previous calculated values The update process led to a soil threshold value for NG that can be applied with higher confidence, relying on minimal information concerning the toxicity of NG for plants and soil invertebrates. The recalculated values for the other compounds are less conservative than the original MTSQG, mainly because the BCF values were averaged instead of being selected. Also, it was not feasible to derive SCMTS for secondary and tertiary consumers because of the lack of toxicity data for such consumers (insectivores, predatory mammals or birds) and the lack of bioaccumulation data for secondary consumers (small mammals). The check values for most compounds are driven by human health considerations and cannot therefore be modified without new information on human exposure. The resulting SCMTS are presented below. The “practical” validation could be carried out only for HMX and NG because the levels of other explosives in the sampled soils were generally under the limit of detection. On the average, the tissue accumulation noted in plant samples was not higher than predicted by the models. Generally, accumulation from the soil was lower than expected, but in some occasion high levels of HMX or NG were found in plant tissues. Laboratory and in situ bioassays with earthworms exposed to contaminated soils indicated that explosives may not always be toxic to the same extent in the field as in the laboratory. This point out to the necessity of considering data obtained following weathering in the derivation of guidelines. Results were also not always predictable, possibly because of the interference caused by other toxic compounds in the test soils (notably heavy metals) but perhaps also to other factors, such as non-homogeneous distribution of EM contamination. Accumulation of energetic materials from field soil was low and inconsistent, NG was found in earthworm tissues in only one instance, although many soil samples with high levels of NG were tested. The general conclusions drawn from the validation process were as follows: Firstly, the proposed SCMTS appear sufficiently protective, as the EM-related toxic effects found in the field soils were lower than expected. Secondly, the original values were found to be overprotective in some cases, because the normal weathering process leads to a reduced availability of some compounds (notably HMX). This has been somewhat corrected in the updated values (SCMTS) by incorporating data obtained through weathering/aging of soils. Also, it was discovered that the bioavailability of NG maybe reduced under the form present in explosives formulations (NG adsorbed to nitrocellulose). Nevertheless, it is not possible to readjust the SCMTS without conducting a larger field study. Few studies have been devoted to the effects of the interactions between each individual component of explosive mixtures. It is generally assumed that the toxicities would be additive, but this could not be verified in the case for the mixture of NG and nitrocellulose. Future work should now be focused on this aspect of environmental contamination.

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)0.010
metaresearch head score (Gemma)0.015
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 score0.025
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.015
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.052
GPT teacher head0.288
Teacher spread0.236 · 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".

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Citations0
Published2008
Admission routes2
Has abstractyes

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