Calculating the optimal number of contaminant samples by means of data worth analysis
Artikel i vetenskaplig tidskrift, 2006

This is a study of Bayesian data worth analysis in environmental clean-up applications. Its focus is on calculating the worth of simultaneously taking several (soil) samples in a small homogeneous area and on finding the optimal number of samples to take, by relating the reduction in risk cost from sampling, that is, data worth, to the cost of the samples. Even though the cost of one sample may be higher than the risk cost reduction it provides, this study shows that several samples may be cost-efficient. This is mainly due to two factors: one is that the unit sample cost often decreases as the number of samples increase; another, more important, factor is that the data worth of several samples typically is higher than the worth of fewer samples. Copyright # 2006 John Wiley & Sons, Ltd.

Bayesian analysis

soil

cost-efficiency

data worth

groundwater

contamination

Författare

Tommy Norberg

Göteborgs universitet

Chalmers, Matematiska vetenskaper, matematisk statistik

FRIST kompetenscentrum

Lars Rosen

Chalmers, Bygg- och miljöteknik, Geologi och geoteknik

DRICKS Ramprogrammet för dricksvattenforskning vid Chalmers

FRIST kompetenscentrum

Environmetrics

Vol. 17 7 705-719

Styrkeområden

Building Futures

Ämneskategorier

Annan geovetenskap och miljövetenskap