Related Experiment Video
Updated: May 7, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
Geospatial Capabilities to Couple Hazard and Social Vulnerability Data in Water Distribution Criticality Analysis
Joseph Hogge1, Katherine Klise2, David Hart2
1Senior Member of Technical Staff, Sandia National Laboratories, 1515 Eubank Blvd SE, Albuquerque, NM 87123.
Abstract:
A resilience analysis of a water distribution system is greatly enhanced by the integration of up-to-date geospatial data describing the water system, hazards, and surrounding community. The Water Network Tool for Resilience (WNTR), an open-source Python package designed to simulate and analyze the resilience of water distribution systems, was recently updated to incorporate geographic information system (GIS) data into the resilience analysis. This paper describes the GIS capabilities and includes a case study using the drinking water distribution system model for a large city in Pennsylvania. The case study focuses on potential pipe damage from landslides and on pipes that are particularly difficult to repair. The analysis couples data on hazards, social vulnerability, and the location of emergency services to identify and prioritize high-impact critical infrastructure for mitigation. Results demonstrate that pipes can be prioritized for mitigation based on water shortage and vulnerable populations that are affected. The methods can be adopted for general use and are available as part of the WNTR software.
More Related Videos
10:49Visualizing Efficacy of Pesticides Against Disease Vector Mosquitoes in the Field
Published on: March 16, 2019
12:26Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
Published on: October 11, 2016
Related Concept Videos
Applications of GIS: Disaster Management and Emergency Response
Manipulation and Analysis
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
Selected Data About Geographic Locations
Introduction to GIS
Levels of Use of a GIS