ASTM International

Standard Practice for Manual Sampling of Stationary Coal from Railroad Cars, Barges, Trucks, or Stockpiles
 N D6883

Annotation

This practice covers procedures for obtaining a manual gross sample from beneath the surface of coal in railroad cars, barges, trucks, or stockpiles. These procedures are to be used to provide gross samples for estimating the quality of the coal. The gross samples are to be crushed, divided, and further prepared for analysis in accordance with Practice D2013.

This practice provides instruction for sampling beneath the exposed surface coal to a depth of approximately 61 cm (24 in.). Collect samples at this depth to get below the surface of the material, since drying and oxidation may have occurred at, or near the surface. Changes in moisture, in particle size, and in other properties continue to occur deeper in the coal and, although not as drastic as near the surface, will cause the method to be biased. The user should review the conditions of the coal (weather conditions, prior transport, settling time, and so forth, see 8.1) so that the interested parties can agree that potential biases are not overly great or that some adjustment in specifications is warranted. Sample increments collected from the surface layer(s) of coal in railroad cars, barges, or stockpiles are classified condition "D" (see Practice D2234/ D2234M, Increment Collection Classification). It is a good practice to require that "details of sampling procedure shall be agreed upon in advance by all parties concerned" whenever collection of sample increments falls under condition "D." This practice offers a sampling procedure that parties may use to meet requirements of Practice D2234/D2234M for condition "D." The practice does not produce samples that satisfy precision requirements of Practice D2234/D2234M generalpurpose sampling, or Practice D2234/D2234M special-purpose sampling.

The user is cautioned that samples of this type do not satisfy the minimum requirements for probability sampling and as such cannot be used to draw statistical inferences such as precision, standard error, or bias.