Radiological consequence assessments using time-varying source terms in ONERS- decision support system for nuclear emergency response

2020 ◽  
Vol 127 ◽  
pp. 103436
Author(s):  
S.S. Raja Shekhar ◽  
C. Venkata Srinivas ◽  
P.T. Rakesh ◽  
R. Venkatesan ◽  
B. Venkatraman
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Emergency Response ◽  
Support System ◽  
Time Varying ◽  
Source Terms ◽  
Radiological Consequence ◽  
Nuclear Emergency

ICONE23-1434 A NEW DECISION SUPPORT SYSTEM FOR NUCLEAR EMERGENCY RESPONSE BASED ON EMERGENCY PLANS

2015 ◽  
Vol 2015.23 (0) ◽  
pp. _ICONE23-1-_ICONE23-1
Author(s):  
Xuesong Geng ◽  
Manchun Liang ◽  
Ying Zhang ◽  
Jie Yang ◽  
Ke Li ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Emergency Response ◽  
Support System ◽  
Emergency Plans ◽  
Nuclear Emergency

scholarly journals THE STUDY OF ATMOSPHERIC DISPERSION MODEL ON ACCIDENT SCENARIO OF RESEARCH REACTOR G. A. SIWABESSY USING HOTSPOT CODES AS A NUCLEAR EMERGENCY DECISION SUPPORT SYSTEM

2019 ◽  
Vol 21 (1) ◽  
pp. 1
Author(s):  
Arif Yuniarto ◽  
Moh. Cecep Cepi Hikmat
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Research Reactor ◽  
Dispersion Model ◽  
Atmospheric Dispersion ◽  
Google Earth ◽  
Radioactive Materials ◽  
Atmospheric Dispersion Model ◽  
Nuclear Emergency

G.A. Siwabessy Multipurpose Reactor (RSG-GAS) is a research reactor with thermal power of 30 MW located in the Serpong Nuclear Area (KNS), South Tangerang, Banten, Indonesia. Nuclear emergency preparedness of RSG-GAS needs to be improved by developing a decision support system for emergency response. This system covers three important aspects: accident source terms estimation, radioactive materials dispersion model into the atmosphere and radiological impact visualization. In this paper, radioactive materials dispersion during design basis accident (DBA) is modeled using HotSpot, by utilizing site-specific meteorological data. Based on the modelling, maximum effective dose and thyroid equivalent dose of 1.030 mSv and 26 mSv for the first 7 days of exposure are reached at distance of 1 km from the release point. These values are below IAEA generic criteria related to risk reduction of stochastic effects. The results of radioactive dispersion modeling and radiation dose calculations are integrated with Google Earth Pro to visualize radiological impact caused by a nuclear accident. Digital maps of demographic and land use data are overlayed on Google Earth Pro for more accurate impact estimation to take optimal emergency responses.Keywords: G.A. Siwabessy research reactor, Nuclear emergency, Atmospheric dispersion model, Decision support system, HotSpot codes

Anomaly Detection in Streaming Sensor Data

2010 ◽  
pp. 99-117 ◽  
Author(s):  
Alec Pawling ◽  
Ping Yan ◽  
Julián Candia ◽  
Tim Schoenharl ◽  
Greg Madey
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Anomaly Detection ◽  
Emergency Response ◽  
Support System ◽  
Cell Phone ◽  
Scientific Work ◽  
Streaming Data ◽  
Sensor Data ◽  
A Cell

This chapter considers a cell phone network as a set of automatically deployed sensors that records movement and interaction patterns of the population. The authors discuss methods for detecting anomalies in the streaming data produced by the cell phone network. The authors motivate this discussion by describing the Wireless Phone Based Emergency Response (WIPER) system, a proof-of-concept decision support system for emergency response managers. This chapter also discusses some of the scientific work enabled by this type of sensor data and the related privacy issues. The authors describe scientific studies that use the cell phone data set and steps we have taken to ensure the security of the data. The authors also describe the overall decision support system and discuss three methods of anomaly detection that they have applied to the data.

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