Using decision analysis to determine optimal experimental design for monitoring sewer exfiltration with tracers.
Publication
, Journal Article
Rieckermann, J; Borsuk, ME; Gujer, W
Published in: Water science and technology : a journal of the International Association on Water Pollution Research
January 2006
The tracer methods developed to assess exfiltration from sewers in the European project APUSS (assessment of the performance of sewer systems) have a high degree of freedom with regard to the choice of tracer and the dosing strategy. These can lead to very different degrees of uncertainty in the measured exfiltration ratio. In this study, we demonstrate how to select an optimal experimental design using decision analysis, which accounts for this uncertainty and its associated costs. Although the results are site-specific, we can conclude generally that, when NaCl is used as the tracer, the accuracy of the exfiltration estimate is most sensitive to the amount of tracer used and the starting time of the experiment.
Duke Scholars
Published In
Water science and technology : a journal of the International Association on Water Pollution Research
DOI
EISSN
1996-9732
ISSN
0273-1223
Publication Date
January 2006
Volume
54
Issue
6-7
Start / End Page
161 / 168
Related Subject Headings
- Water Pollutants
- Waste Disposal, Fluid
- Sodium Chloride
- Sewage
- Research Design
- Reproducibility of Results
- Monte Carlo Method
- Environmental Engineering
- Drainage, Sanitary
- Decision Support Techniques
Citation
APA
Chicago
ICMJE
MLA
NLM
Rieckermann, J., Borsuk, M. E., & Gujer, W. (2006). Using decision analysis to determine optimal experimental design for monitoring sewer exfiltration with tracers. Water Science and Technology : A Journal of the International Association on Water Pollution Research, 54(6–7), 161–168. https://doi.org/10.2166/wst.2006.615
Rieckermann, J., M. E. Borsuk, and W. Gujer. “Using decision analysis to determine optimal experimental design for monitoring sewer exfiltration with tracers.” Water Science and Technology : A Journal of the International Association on Water Pollution Research 54, no. 6–7 (January 2006): 161–68. https://doi.org/10.2166/wst.2006.615.
Rieckermann J, Borsuk ME, Gujer W. Using decision analysis to determine optimal experimental design for monitoring sewer exfiltration with tracers. Water science and technology : a journal of the International Association on Water Pollution Research. 2006 Jan;54(6–7):161–8.
Rieckermann, J., et al. “Using decision analysis to determine optimal experimental design for monitoring sewer exfiltration with tracers.” Water Science and Technology : A Journal of the International Association on Water Pollution Research, vol. 54, no. 6–7, Jan. 2006, pp. 161–68. Epmc, doi:10.2166/wst.2006.615.
Rieckermann J, Borsuk ME, Gujer W. Using decision analysis to determine optimal experimental design for monitoring sewer exfiltration with tracers. Water science and technology : a journal of the International Association on Water Pollution Research. 2006 Jan;54(6–7):161–168.
Published In
Water science and technology : a journal of the International Association on Water Pollution Research
DOI
EISSN
1996-9732
ISSN
0273-1223
Publication Date
January 2006
Volume
54
Issue
6-7
Start / End Page
161 / 168
Related Subject Headings
- Water Pollutants
- Waste Disposal, Fluid
- Sodium Chloride
- Sewage
- Research Design
- Reproducibility of Results
- Monte Carlo Method
- Environmental Engineering
- Drainage, Sanitary
- Decision Support Techniques