Abstract
The All Hazards Knowledge Framework (AHA) is a dynamic analytical framework that enables critical infrastructure knowledge discovery and decision support across the five mission areas – prevention, protection, mitigation, response and recovery. AHA provides the ability to store and model infrastructure systems as a linked multigraphs providing an intuitive and natural representation. This capability provides the foundation to rapidly evaluate and understand the potential consequences of manmade and natural disaster on these systems.
- Developers:
- Release Date:
- 2019-05-06
- Project Type:
- Closed Source
- Software Type:
- Scientific
- Programming Languages:
-
Javascript
- Sponsoring Org.:
-
USDOE Office of Nuclear Energy (NE)Primary Award/Contract Number:AC07-05ID14517
- Code ID:
- 120273
- Site Accession Number:
- 8077
- Research Org.:
- Idaho National Laboratory (INL), Idaho Falls, ID (United States)
- Country of Origin:
- United States
Citation Formats
McGillivary, Kent E., Larsen, Kenneth W., and Hoover, Michael J.
All Hazards Analysis Core.
Computer Software.
USDOE Office of Nuclear Energy (NE).
06 May. 2019.
Web.
doi:10.11578/dc.20260413.2.
McGillivary, Kent E., Larsen, Kenneth W., & Hoover, Michael J.
(2019, May 06).
All Hazards Analysis Core.
[Computer software].
https://doi.org/10.11578/dc.20260413.2.
McGillivary, Kent E., Larsen, Kenneth W., and Hoover, Michael J.
"All Hazards Analysis Core." Computer software.
May 06, 2019.
https://doi.org/10.11578/dc.20260413.2.
@misc{
doecode_120273,
title = {All Hazards Analysis Core},
author = {McGillivary, Kent E. and Larsen, Kenneth W. and Hoover, Michael J.},
abstractNote = {The All Hazards Knowledge Framework (AHA) is a dynamic analytical framework that enables critical infrastructure knowledge discovery and decision support across the five mission areas – prevention, protection, mitigation, response and recovery. AHA provides the ability to store and model infrastructure systems as a linked multigraphs providing an intuitive and natural representation. This capability provides the foundation to rapidly evaluate and understand the potential consequences of manmade and natural disaster on these systems.},
doi = {10.11578/dc.20260413.2},
url = {https://doi.org/10.11578/dc.20260413.2},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20260413.2}},
year = {2019},
month = {may}
}