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Resilience Analysis Using the Water Network Tool for Resilience
Citation:
Murray, R. AND K. Klise. Resilience Analysis Using the Water Network Tool for Resilience. ASCE EWRI Congress, Minneapolis, MN, June 04 - 07, 2018.
Impact/Purpose:
This presentation will be of interest to water utilities, communities, states and regulatory agencies, and government officials concerned about water infrastructure resilience to natural and human-caused disasters. Recent hurricanes and earthquakes have highlighted the essential role of drinking water infrastructure in our everyday life as well as the vulnerability of this critical infrastructure to disasters. In 2017, the U. S. Environmental Protection Agency and Sandia National Laboratories released the Water Network Tool for Resilience (WNTR), an open source python tool. WNTR includes components to generate or modify water network structure and operations, simulate disaster scenarios, model response and repair strategies, simulate pressure dependent demand and demand-driven hydraulics, predict water quality, calculate resilience metrics and visualize results. WNTR enables water utilities to predict important utility-specific metrics such as how long their system will be able to continue to provide water to customers after a specific disaster, how many customers will be affected and where, and what assets are most important to fix first. Several scripts have been developed that demonstrate how to use WNTR to investigate the resilience of water distribution systems to a wide range of hazardous scenarios and to evaluate resilience‐enhancing actions, including power outage and earthquake scenarios, fire-fighting capacity and pipe criticality analysis, sampling and flushing location evaluation, and damage repair strategies. In this presentation, case studies with partner water utilities are used to demonstrate how one can use WNTR to enhance preparedness and assist with disaster response. These case studies demonstrate how water utilities can use WNTR to estimate potential damages, understand how damage to infrastructure would occur over time, evaluate preparedness strategies, prioritize response actions, and identify worse case scenarios, efficient repair strategies, and best practices for maintenance and operations.
Description:
Recent hurricanes and earthquakes have highlighted the essential role of drinking water infrastructure in our everyday life as well as the vulnerability of this critical infrastructure to disasters. In 2017, the U. S. Environmental Protection Agency and Sandia National Laboratories released the Water Network Tool for Resilience (WNTR), an open source python tool. WNTR includes components to generate or modify water network structure and operations, simulate disaster scenarios, model response and repair strategies, simulate pressure dependent demand and demand-driven hydraulics, predict water quality, calculate resilience metrics and visualize results. WNTR enables water utilities to predict important utility-specific metrics such as how long their system will be able to continue to provide water to customers after a specific disaster, how many customers will be affected and where, and what assets are most important to fix first. Several scripts have been developed that demonstrate how to use WNTR to investigate the resilience of water distribution systems to a wide range of hazardous scenarios and to evaluate resilience‐enhancing actions, including power outage and earthquake scenarios, fire-fighting capacity and pipe criticality analysis, sampling and flushing location evaluation, and damage repair strategies. In this presentation, case studies with partner water utilities are used to demonstrate how one can use WNTR to enhance preparedness and assist with disaster response. These case studies demonstrate how water utilities can use WNTR to estimate potential damages, understand how damage to infrastructure would occur over time, evaluate preparedness strategies, prioritize response actions, and identify worse case scenarios, efficient repair strategies, and best practices for maintenance and operations.