|Submission Date||July 17, 2019|
University of Mississippi
IN-27: Innovation D
|1.00 / 1.00||
Office of Sustainability
Name or title of the innovative policy, practice, program, or outcome:
A brief description of the innovative policy, practice, program, or outcome that outlines how credit criteria are met and any positive measurable outcomes associated with the innovation:
Researchers at UM’s National Center for Computational Hydroscience and Engineering created a cutting-edge software program to aid in dam-and levee-breach flood predictions and preparations across the country. With resolutions from 20 feet to 200 feet, the free system, DSS-WISE Lite, is being accessed by users from the Federal Emergency Management Agency headquarters, 10 FEMA regional offices, stakeholder federal agencies and state dam safety offices. The unique system allows vetted users to 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. Within 10 months of launching the software, the system handled more than 1,800 simulations. 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.
Which of the following impact areas does the innovation most closely relate to? (select up to three):
Air & Climate
A letter of affirmation from an individual with relevant expertise or a press release or publication featuring the innovation :
The website URL where information about the programs or initiatives is available:
Additional documentation to support the submission:
The information presented here is self-reported. While AASHE staff review portions of all STARS reports and institutions are welcome to seek additional forms of review, the data in STARS reports are not verified by AASHE. If you believe any of this information is erroneous or inconsistent with credit criteria, please review the process for inquiring about the information reported by an institution and complete the Data Inquiry Form.