Environmental Engineering Reference
In-Depth Information
15.5 Integration of Lines of Evidence and Final Results
After the results have been scaled for each test, it is possible to integrate the results
of the different tests in each line of evidence. In Table
15.1
an example of collect-
ing and presenting the data from a Triad-based ERA is given. In order to integrate
Table 15.1
Example of a table for collecting, summarizing and integrating data from a
Triad-based ERA
Triad aspect
Parameter
Weight
Sample
Sample
Sample
factor
A
B
C
Chemistry
Sum TP total concentrations
1
0.00
0.76
0.92
Sum TP porewater concentrations
1
0.00
0.62
0.75
effect (chemistry)
0.00
0.70
0.86
Toxicology
M
o
1
0.36
0.21
0.70
E
a
h
w
t
e
t
1
0.00
0.00
0.52
G
e
a
i
t
t
1
0.00
0.05
0.20
effect (toxicity)
0.14
0.09
0.30
Ecology
Nematode community analysis
1
0.00
0.50
0.55
Microbial parameters
1
0.00
0.25
0.45
Micro-arthropod community analysis
1
0.00
0.15
0.32
Plant community analysis
1
0.00
0.00
0.60
E
a
h
w
s
1
0.00
0.45
0.24
effect (ecology)
0.00
0.29
0.45
Effect assessment chemistry
1
0.00
0.70
0.86
Effect assessment toxicology
1
0.14
0.09
0.51
Effect assessment ecology
1
0.00
0.29
0.45
Integrated assessment (risk)
0.05
0.42
0.67
deviation
0.14
0.55
0.38
In a first step the data are grouped per line of evidence, i.e. chemistry, bioassays and ecological
field surveys. Weighting factors are set to 1 by default (first column). After calculation of one
effect value per line of evidence, the data are recollected in a final set Triad data in order to
judge the level of (dis)agreement between the lines of evidence (lowest tabular square). When the
deviation factor (D
standard deviation) between the lines of evidence is low enough (see
text), an integrated risk value can be used for underpinning the site management decision. In the
Netherlands this lay out of the table is proposed for presenting results of a Triad as part of an ERA
(Mesman et al.
2007
)
=
1.73
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