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Evaluating Manual Sampling Locations for Regulatory and Emergency Response Data Set 20200727

Metadata Updated: September 2, 2022

This dataset includes the modeling and simulation results from an analysis of two drinking water distribution system models. The analysis included identifying optimal grab sample locations for both regulatory and emergency response scenarios. The locations were then evaluated against the scenarios for which they were not designed. The dataset includes the node IDs for the sampling locations and the fraction of contamination scenarios detected by the locations.

This dataset is associated with the following publication: Haxton, T., K. Klise, D. Laky, R. Murray, C. Laird, and J. Burkhardt. Evaluating Manual Sampling Locations for Regulatory and Emergency Response. JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT. American Society of Civil Engineers (ASCE), Reston, VA, USA, 147(12): 04021081 1-11, (2021).

Access & Use Information

Public: This dataset is intended for public access and use. License: See this page for license information.

Downloads & Resources

References

https://doi.org/10.1061/(asce)wr.1943-5452.0001473

Dates

Metadata Created Date September 2, 2022
Metadata Updated Date September 2, 2022

Metadata Source

Harvested from EPA ScienceHub

Additional Metadata

Resource Type Dataset
Metadata Created Date September 2, 2022
Metadata Updated Date September 2, 2022
Publisher U.S. EPA Office of Research and Development (ORD)
Maintainer
Identifier https://doi.org/10.23719/1519133
Data Last Modified 2020-07-27
Public Access Level public
Bureau Code 020:00
Schema Version https://project-open-data.cio.gov/v1.1/schema
Harvest Object Id 1c4ea9a5-6f91-4bb9-a857-b99e9f66bfee
Harvest Source Id 04b59eaf-ae53-4066-93db-80f2ed0df446
Harvest Source Title EPA ScienceHub
License https://pasteur.epa.gov/license/sciencehub-license.html
Program Code 020:060
Publisher Hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
Related Documents https://doi.org/10.1061/(asce)wr.1943-5452.0001473
Source Datajson Identifier True
Source Hash 780b4c2af4f73213aac9ea92a348c94a387a2998
Source Schema Version 1.1

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