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Record W2981567326 · doi:10.4095/287943

Sampling protocols for soil geochemical surveys

2011· report· en· W2981567326 on OpenAlexaffabout
R J McNeil

Bibliographic record

Venuenot available
Typereport
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsSampling (signal processing)Environmental scienceGeologyComputer science

Abstract

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The protocols used for the field collection of soil samples in Canada for the North American Soil Geochemical Landscapes Project are described in detail in Geological Survey of Canada Open File 6282. This document is available on-line at http://geopub.nrcan.gc.ca/moreinfo_e.php?id=261633&_h=6282 [accessed March 14, 2010]. The collection of soil samples for geochemical analysis involves preparation in the office as well as work in the field. If the purpose of the survey is to provide an estimate of the background range of element concentrations in soil, use of a spatially random and statistically defensible sampling design is required. In the office, target and alternative sites are determined based on the sample design and study of existing maps showing the distribution of bedrock, surficial materials and soils, and also topographic maps showing road access and the lay of the land. It is also necessary to design a field card that includes information on site location and description, the underlying types of surficial materials and bedrock, descriptions of the soil pit and soil materials collected from the pit. The field card can be modified as needed to meet field conditions. Site and pit photographs are important for archiving and referencing to complement the field card information. Horizon based sampling is recommended, otherwise varying amounts of organic matter, Fe- and Mnsesquioxides, and clays will influence trace element concentrations due to the varying amounts of their presence. Sampling by horizon allows for an easier interpretation of geochemical variation if samples are collected from similar pedologic horizons. Horizon-based sampling requires familiarization of the soils of the study region through review of the literature. When beginning work in a new study area it can prove to be quite helpful to have a field meeting with soil scientist familiar with local soils and learn what to expect and how to discriminate between horizons and sub-horizons. To provide information on the parent materials, a sample is collected from the C-horizon which at most sites in Canada is reached by a depth of 1 m. Depending on the project purpose, samples will be collected from other horizons (O, A or B). It may also be desirable to collect a sample from the 0-5 cm depth interval referred to as the Public Health (PH) layer. Although the PH layer is not a pedologic horizon, it is the depth that most strongly affects human exposure. Samples should be collected using a standard set of equipment. A list of suggested equipment is given in Open File 6282. Stainless steel should not be used to avoid contamination and if the sampling tool is covered by paint, have it removed possibly by sand. Once in the field, a pit is excavated to allow visible distinction of different horizons and the collection of samples from the desired horizons for geochemical analysis and other types of tests such as bulk density and carbonate content determinations. Sampling begins with the lowermost horizon and sampling upwards through the profile minimizes cross-contamination of the horizons. Kraft paper bags are recommended for sampling as canvas sample bags are often treated with elements such as As or Sb to guard against mildew. To prevent loss of volatile elements such as Hg and As, samples should be stored, shipped and dried in areas where the temperature remains below 30o C.

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)0.011
metaresearch head score (Gemma)0.010
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: Not applicable
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.114
Threshold uncertainty score0.330

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.010
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0060.009
Science and technology studies0.0070.002
Scholarly communication0.0020.001
Open science0.0050.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0990.055

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 head0.183
GPT teacher head0.353
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
GenreMethods

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
Published2011
Admission routes2
Has abstractyes

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