首页|The use of composite sampling in contaminated sites—a case study

The use of composite sampling in contaminated sites—a case study

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Simulated composite sampling was carried out using data from a contaminated site. The values obtained by composite sampling were compared with the results obtained using discrete (individual) samples. It is appropriate to use a modified investigation level (MIL) when using composite samples. The MIL is lower than the standard investigation level, (IL). Various MILs were considered in this study. Too low an MIL will indicate that some composite samples require further investigation, when none of the discrete samples comprising the composite would have exceeded the IL. Too high an MIL will result in some discrete samples that exceed the IL being missed. A suggested MIL is IL/n~(1/2) where n is the number of discrete samples in the composite sample. This MIL was found to give few false negatives but many fewer false positives than the IL/n rule. Although this MIL was effective on the test data it could be site specific. Some local areas of high concentration may be missed with composite samples if a lower investigation level is used. These however do not make a large contribution to the health risk because they will have a contaminant level only slightly higher than the IL, and the neighboring samples must have a low concentration of the contaminant. The increased risk due this cause may be more than offset by the higher sampling density made possible through the economies of composite sampling. When composite sampling is used as the first phase of an adaptive cluster-sampling scheme, it must be augmented by additional samples to delineate the contaminated area to be cleaned up. Composite sampling can also be effectively used in a "clean up unit" technique, where a clean up unit is represented by one or more composite samples. Suggestions are given for when composite sampling can be used effectively.

health riskinvestigation levelmodified investigation level

Raymond L. Correll

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CSIRO Mathematical and Information Sciences, Private Bag No. 2, Glen Osmond, South Australia, Australia 5064

2001

Environmental and ecological statistics

Environmental and ecological statistics

ISTP
ISSN:1352-8505
年,卷(期):2001.8(3)