Inventering av provtagningsstrategier för jord ... - Naturvårdsverket
Inventering av provtagningsstrategier för jord ... - Naturvårdsverket
Inventering av provtagningsstrategier för jord ... - Naturvårdsverket
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HÅLLBAR SANERING<br />
Rapport 5894 – <strong>Inventering</strong> <strong>av</strong> <strong>provtagningsstrategier</strong> <strong>för</strong> <strong>jord</strong>, grundvatten och porgas<br />
The inventory of the experience based on work done in the USA constitutes a<br />
huge volume in this report. The most distinct differences between Swedish and<br />
USEPA guideline documents is that the American recommendations are of more<br />
stringent and formal character (sampling design is integrated into Data Quality<br />
Objective Process) compared to Swedish references (Quality Manual for Follow-up<br />
Treatment of Contaminated Land and MIFO methodology).<br />
In this report, eight different sampling strategies are summarized along with<br />
their pros and cons and under what circumstances those (strategies) work best. Two<br />
relatively innovative strategies are presented: Ranked set sampling and adaptive<br />
cluster sampling. The main conclusions from the American inventory are:<br />
• Sampling design should be planned parallel with following its contextual<br />
connection with other parts included in a process of environmental<br />
assessment (also risk assessment) of a contaminated site.<br />
• The choice of an appropriate strategy is always site-specific and depends<br />
on the objectives with data collection.<br />
• There is often a need to consider more that only one strategy for a site.<br />
• Collected data and interpretation are always subject to uncertainties –<br />
because data uncertainty influence quality of information used in the<br />
following decision process, they are to be quantified and communicated<br />
to the problem owner/decision maker in a transparent manner.<br />
• In some situations, integration of screening methods and traditional<br />
sampling will result in higher data quality at lower cost compared to<br />
situation where exclusively traditional sampling and laboratory analysis<br />
are applied.<br />
This report also presents short descriptions of PC-platform tools for planning of<br />
sampling design (Visual Sampling Plan) and data analysis, quantification of<br />
uncertainties and visualization (Spatial analysis and Decision Assistance).<br />
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