Science Inventory

Chapter 12: Water Network Tool for Resilience

Citation:

Chu-Ketterer, J., J. Burkhardt, K. Klise, AND T. Haxton. Chapter 12: Water Network Tool for Resilience. Chapter 12, Juneseok Lee; Jonathan Keck (ed.), Embracing Analytics in the Drinking Water Industry. IWA Publishing, London, Uk, , 295-323, (2022). https://doi.org/10.2166/9781789062380_0295

Impact/Purpose:

Drinking water systems face multiple challenges, including aging infrastructure, water quality concerns, uncertainty in supply and demand, natural disasters, environmental emergencies, and terrorist attacks. All of these have the potential to disrupt a large portion of a water system causing damage to infrastructure and outages to customers. Increasing resilience to these types of hazards is essential to improving water security. The Water Network Tool for Resilience (WNTR) is a Python package allowing for end-to-end evaluation of drinking water infrastructure resilience to disasters. The software improves upon EPANET's capabilities by fully integrating hydraulic and water quality simulation, damage estimates and response actions, and resilience metrics into a single platform. This tool is important for drinking water systems around the world who want to better understand how their water systems can withstand natural disasters like earthquakes, floods, and power outages. This book chapter describes water distribution resilience metrics, disaster scenarios, and WNTR. This chapter provides tutorials of how WNTR can be used by researchers, consultants, and drinking water utilities to gain valuable information about distribution systems and their resilience to a range of disasters or disruptions.

Description:

This chapter introduces the Water Network Tool for Resilience (WNTR) and how it can be used to evaluate drinking water distribution system (WDS) resilience. At the end of this chapter, the reader will be able to install and run WNTR, set up and run various disaster scenario simulations, calculate resilience metrics, and create simple network plots. 

Record Details:

Record Type:DOCUMENT( BOOK CHAPTER)
Product Published Date:06/01/2022
Record Last Revised:09/08/2022
OMB Category:Other
Record ID: 355591