![]() I can’t express the value of this video for us," Hundley explained.īen Stevenson, the NUSTL’s R&D division leader, lauded the RDD simulator. "The visual depiction gives the basic frontline firefighter a better understanding of a radioactive incident that is very hard for most to understand from a simple power point slide. Mark Hundley, a master firefighter with the City of Virginia Beach, Virginia, and a leader for the Virginia-2 Urban Search and Rescue team, calls the response to the video among firefighters "incredible." DIRTY BOMB AIMBOT APRIL 2017 HOW TOThe RDD Studio can assist emergency crews in learning how to manage the risk in responding to an RDD." It should become a regular part of your training for any radiological event. "Your law enforcement and fire/hazards personnel must view this video. "This 20-minute video by LLNL and the National Urban Security Technology Laboratory (NUSTL) is the best description of the management of a ‘dirty bomb’ or RDD incident out there," said John White, the radiation safety officer for the Veterans Administration North Texas Health Care System. All 14 videos are available on the DHS S&T YouTube channel. The guidance report and the model can be found on the DHS website. DIRTY BOMB AIMBOT APRIL 2017 SIMULATORThe simulator developed by Chen, a data analyst and visualization technologist in the Computing Directorate’s Global Security Computing Applications Division, has been drawing high praise since it was released in April. The simulator grew out of an effort to give "life" to a 2017 Department of Homeland Security Science and Technology Directorate (DHS S&T) report, "RDD Response Guidance: Planning for the First 100 Minutes," and has helped produce 14 videos that illustrate the hazards, tactics and procedures for an RDD response. If a radiological dispersal device (RDD), or "dirty bomb," ever explodes in the United States, emergency crews may be better prepared because of a simulator developed by an Lawrence Livermore National Laboratory (LLNL) visualization technologist.Ĭalled the RDD Studio, the model was developed by the Lab’s Ryan Chen to provide a detailed simulation of what an optimal response to an RDD would look like. ![]()
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