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Optimal sampling locations contamination extent WDS figure dataset 08242018
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).
Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[
"020:00"
]
|
| contactPoint |
{
"fn": "Terranna Haxton",
"hasEmail": "mailto:haxton.terra@epa.gov"
}
|
| 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). |
| distribution |
[
{
"title": "Opt_Sampling_Paper_Figure_Data.xlsx",
"mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502586/Opt_Sampling_Paper_Figure_Data.xlsx"
}
]
|
| identifier | https://doi.org/10.23719/1502586 |
| keyword |
[
"Drinking water distribution system",
"Source identification",
"drinking water distribution system modeling",
"grab samples",
"model uncertainty",
"modeling and optimization"
]
|
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2018-08-24 |
| programCode |
[
"020:060"
]
|
| publisher |
{
"name": "U.S. EPA Office of Research and Development (ORD)",
"subOrganizationOf": {
"name": "U.S. Environmental Protection Agency",
"subOrganizationOf": {
"name": "U.S. Government"
}
}
}
|
| references |
[
"https://doi.org/10.1061/(asce)is.1943-555x.0000628"
]
|
| rights |
null
|
| title | Optimal sampling locations contamination extent WDS figure dataset 08242018 |
