Optimal sampling locations contamination extent WDS figure dataset 08242018
Description
The dataset was created from simulating contamination incidents in a water distribution system and selecting optimal sampling locations to identify the contamination incident. This data includes the number of contamination scenarios still credible after each sampling cycle; the number of nodes correctly identified as being contaminated after each sampling cycle; and the number of nodes identify as likely contaminated, likely not contaminated, and uncertain after each sampling cycle.
This dataset is associated with the following publication:
Rodriguez, S., M. Bynum, C. Laird, D. Hart, K. Klise, J. Burkhardt, and T. Haxton. Optimal sampling locations to reduce uncertainty in contamination extent in water distribution systems. Journal of Infrastructure Systems. American Society of Civil Engineers (ASCE), Reston, VA, USA, 27(3): 1-31, (2021).
Resources
| Name |
Format |
Description |
Link |
|
53 |
Opt_Sampling_Paper_Figure_Data.xlsx |
https://pasteur.epa.gov/uploads/10.23719/1502586/Opt_Sampling_Paper_Figure_Data.xlsx |
Tags
- grab-samples
- model-uncertainty
- modeling-and-optimization
- drinking-water-distribution-system-modeling
- source-identification
- drinking-water-distribution-system