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correlation between the remediation cost and the total risk given by Equation 10.11 and
represented by Figure 10.9 (Kaufman et al. 2005).
Lg
cos t
=
5 107 0 4949
.
+
.
lg
risk weight
(10.11)
When Equation 10.11 was tested against 127 sites located worldwide in various geo-
logical environments, there was a very strong correlation between the estimated values
derived from Equation 10.11 for remediation cost and the actual cost values (r = 90; F = 334.1,
p < .0001). The results are shown in Figure 10.10. It is reasonable to conclude that total risk
scores do help explain much of the variation in remediation costs.
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Total risk
FIGURE 10.9
Regression analysis of remedial cost and CRF
GW
. (With kind permission from Springer Science+Business Media:
Kaufman, M.M. et al.,
Water, Air, and Soil Pollut
., 167, 381, 2005.)
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Predicted cost
FIGURE 10.10
Actual vs. predicted remedial costs using the CRF
GW
. (With kind permission from Springer Science+Business
Media: Kaufman, M.M. et al.,
Water, Air, and Soil Pollut
., 167, 382, 2005.)
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