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Title: Revolutionize Situational Awareness in Emergencies

Abstract

This report describes an integrated system that provides real-time actionable information to first responders. LANL will integrate three technologies to form an advanced predictive real-time sensor network including compact chemical and wind sensor sin low cost rugged package for outdoor installation; flexible robust communication architecture linking sensors in near-real time to globally accessible servers; and the QUIC code which predicts contamination transport and dispersal in urban environments in near real time.

Authors:
 [1]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1369149
Report Number(s):
LA-UR-17-25362
DOE Contract Number:
AC52-06NA25396
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
47 OTHER INSTRUMENTATION; 42 ENGINEERING

Citation Formats

Hehlen, Markus Peter. Revolutionize Situational Awareness in Emergencies. United States: N. p., 2017. Web. doi:10.2172/1369149.
Hehlen, Markus Peter. Revolutionize Situational Awareness in Emergencies. United States. doi:10.2172/1369149.
Hehlen, Markus Peter. Wed . "Revolutionize Situational Awareness in Emergencies". United States. doi:10.2172/1369149. https://www.osti.gov/servlets/purl/1369149.
@article{osti_1369149,
title = {Revolutionize Situational Awareness in Emergencies},
author = {Hehlen, Markus Peter},
abstractNote = {This report describes an integrated system that provides real-time actionable information to first responders. LANL will integrate three technologies to form an advanced predictive real-time sensor network including compact chemical and wind sensor sin low cost rugged package for outdoor installation; flexible robust communication architecture linking sensors in near-real time to globally accessible servers; and the QUIC code which predicts contamination transport and dispersal in urban environments in near real time.},
doi = {10.2172/1369149},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Jul 05 00:00:00 EDT 2017},
month = {Wed Jul 05 00:00:00 EDT 2017}
}

Technical Report:

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