NCCHE Software System Provides Real-Time Solutions during Floods

Cutting-edge technology used to predict flows and estimate consequences when dams, levees fail

Members of the National Center for Computational Hydroscience and Engineering research team collaborate on the latest user request on the DSS-WISE Lite software the team created for dam and levee failure projections. Photo by Robert Jordan/Ole Miss Communications

OXFORD, Miss. – A cutting-edge software program developed by scientists at the University of Mississippi is proving beneficial in dam- and levee-breach flood predictions and preparations across the country.

Researchers at UM’s National Center for Computational Hydroscience and Engineering created DSS-WISE Lite, a web-based, automated and fully geographic information systems-integrated, two-dimensional dam- and levee-break flood modeling and mapping system.

With resolutions from 20 feet to 200 feet, the free system is being accessed by users from the Federal Emergency Management Agency headquarters, 10 FEMA regional offices, stakeholder federal agencies and state dam safety offices.

“Since its startup 10 months ago, the system handled more than 1,800 simulations,” said Mustafa Altinakar, NCCHE director and research professor. “There are currently 200 users from all over the U.S., and the number of users is growing fast.”

By using the web-based system, vetted users can easily set up and run simulations of varying scenarios in the event of a dam or levee failure and obtain outcomes. The results, including fully GIS-compatible maps, are being returned to the user within a half-hour in 73 percent of the cases and within two hours in 90 percent of the cases.

“The challenge is to get these calculations in real time in order to best facilitate emergency action plans,” Altinakar said. “This is a truly unique system. There’s no system like this anywhere else in the world.”

An example of the system’s use is when a steady barrage of storms in early 2017 resulted in serious damage to the Lake Oroville spillways north of Sacramento, California, which included a concrete failure on the lower chute of the gated flood control spillway. The California Department of Water Resources used DSS-WISE Lite extensively during the incident to generate emergency flood mapping so it could prepare appropriate emergency response plans. 

NCCHE is partnering with Argonne National Laboratory in the U.S. Department of Energy to add a new module to the DSS-WISE Lite system for estimating potential human consequences of dam- or levee-break floods. This new module provides population-at-risk and loss-of-life analyses – based on the USBR method – and flood-risk mapping.

“This system is so well designed that you don’t have to be an expert engineer in order to set it up and run it,” said Marcus McGrath, a research associate at NCCHE. “It literally won’t let you make a mistake.”

Computational models forecasting the effects of flooding on Texas should various categories of hurricanes strike played a major role in dealing with Hurricane Harvey and several earlier disaster forecasts.

“The system can compute many different dam- and levee-failures scenarios very quickly,” said Vijay Ramalingam, NCCHE research scientist. “It has proven to have the necessary computational speed to serve during actual emergencies.”

Because DSW-WISE Lite involves multiple web connections, the research scientists carry out frequent penetration tests to prevent cyber attacks. The system also is designed to suspend computations and then resume them in event of electrical power outages on campus.

“Our team conducts tabletop exercises and teaches short courses on how to use the system,” said Paul Smith, coordinator of computing facilities at NCCHE. “So far, we have four different locations scheduled for courses in 2018.”

During the 2017 hurricane season, Altinakar and his team were busy assisting various federal and state agencies by running emergency simulations and responding to technical questions.

“Our team is truly dedicated,” Altinakar said. “Whenever we receive a call for our help, we respond on the dot, knowing that accurate and timely information yielded by the system can literally save lives.”