Atmospheric dispersion and impact modeling systems: How are they perceived as support tools for nuclear crises management?

Benamrane, Yasmine; Boustras, Georgios

doi:10.1016/j.ssci.2014.09.002

Cited by 9 publications

(4 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The software use Gaussian Plume Models (GPM) to describe the atmospheric dispersion of radioactive material. In general, GPM is widely used in literature and has been successfully applied to many dispersion problems (Bamdad and Hosseini, 2016;Denglong and Zaoxiao, 2016;Benamrane and Boustras, 2015;Pirouzmand et al 2015;Timothy, 2013).…”

Section: Fig 1 Geographic Localisation Of the Two Preselected Tunisian Sitesmentioning

confidence: 99%

Atmospheric Dispersion Modeling of Basis-Design Accident (Loca) and Radioactive Dose Assessment of Two Proposed Sites for Nuclear Power Plant in Tunisia

Souissi¹,

Tawfik²,

Ramadan³

et al. 2019

IJEAST

View full text Add to dashboard Cite

The demand for energy is constantly increasing and nuclear power remains an important option for many countries to provide energy for development and fight climate change. In Tunisia, two sites are preselected for Nuclear Power Plant (NPP) implantation: Marsa-Dhouiba site in the far north of the country and Skhira site in the South-East. Estimating of health effects on humans (population and workers) following the accidental release of radioactive gaseous materials into the air from a Nuclear Power Plant is essential for the safety and environmental analyses that are needed for reactor licensing. So, the early offsite consequences of severe accident should be assessed before construction of proposed NPP for many purposes, such as site evaluation of NPP, evaluation of the exclusion area and low population zone. Also, the emergency plan must be evaluated to define the mitigation actions. These actions may represented by sheltering, evacuation, distribution of stable iodine tablets and/or relocation and where these actions should take place after the nuclear accident especially in the downwind sectors to decrease the consequences of accident. The hypothetical scenario considered in this paper is a design-basis accident, loss of coolant accident. The RASCAL code was applied to evaluate the health effects and define the protective actions in the event of a nuclear accident for both sites. The health effects can be treated as two important dosimetric parameters: the total effective dose equivalent (TEDE) around the reactor sites and the thyroid commitment dose equivalent (TCDE). After making an analysis of meteorological parameters for both sites, atmospheric dispersion modeling is made for each of the four seasons and finally recommendations for immediate protective actions are discussed.

show abstract

Section: Fig 1 Geographic Localisation Of the Two Preselected Tunisian Sitesmentioning

confidence: 99%

Atmospheric Dispersion Modeling of Basis-Design Accident (Loca) and Radioactive Dose Assessment of Two Proposed Sites for Nuclear Power Plant in Tunisia

Souissi¹,

Tawfik²,

Ramadan³

et al. 2019

IJEAST

View full text Add to dashboard Cite

show abstract

“…Notwithstanding this difficulty, statisticians have developed many approaches to modeling and analyzing spatiotemporal processes . Atmospheric or hydrological dispersion models are examples of spatiotemporal stochastic processes of specific natural processes . However, there has been remarkably little work and less progress on how to communicate the results of such analyses to nontechnical decisionmakers and others (see, e.g., Ref.…”

Section: Communicating Spatial Uncertainty and Riskmentioning

confidence: 99%

Communicating Geographical Risks in Crisis Management: The Need for Research

et al. 2017

View full text Add to dashboard Cite

In any crisis, there is a great deal of uncertainty, often geographical uncertainty or, more precisely, spatiotemporal uncertainty. Examples include the spread of contamination from an industrial accident, drifting volcanic ash, and the path of a hurricane. Estimating spatiotemporal probabilities is usually a difficult task, but that is not our primary concern. Rather, we ask how analysts can communicate spatiotemporal uncertainty to those handling the crisis. We comment on the somewhat limited literature on the representation of spatial uncertainty on maps. We note that many cognitive issues arise and that the potential for confusion is high. We note that in the early stages of handling a crisis, the uncertainties involved may be deep, i.e., difficult or impossible to quantify in the time available. In such circumstance, we suggest the idea of presenting multiple scenarios.

show abstract

“…Atmospheric dispersion models (ADMs) are used for assisting emergency management planning and response associated with the release of hazardous materials in the atmosphere (e.g. Bradley 2007;Benamrane et al 2013;Benamrane and Boustras 2015). The dispersion of radioactive material from a radiological dispersal device (RDD) (e.g.…”

Section: Introductionmentioning

confidence: 99%

UDINEE: Evaluation of Multiple Models with Data from the JU2003 Puff Releases in Oklahoma City. Part II: Simulation of Puff Parameters

Hernández-Ceballos

Hanna²,

Bianconi³

et al. 2019

Boundary-Layer Meteorol

View full text Add to dashboard Cite

The capabilities of nine atmospheric dispersion models in predicting near-field dispersion from puff releases in an urban environment are addressed under the Urban Dispersion INternational Evaluation Exercise (UDINEE) project. The model results are evaluated using tracer observations from the Joint Urban 2003 (JU2003) experiment where neutrallybuoyant puffs were released in the downtown area of Oklahoma City, USA. Sulphur hexafluoride concentration time series measured at ten sampling locations during four daytime and four night-time puff releases are used to evaluate how the models simulate the puff passage at the measurement locations. The neutrally-buoyant puff releases in the JU2003 experiment are the closest scenario to radiological dispersal device (RDD) releases in urban areas, and therefore, UDINEE is a first step towards improving the emergency response to an RDD explosion in the urban environment. We investigate for each puff and sampler the model capability of simulating the peak concentration; the peak and puff arrival times; and time duration, defined as the period over which concentrations exceed 10% of the peak concentration. This analysis points out differences on the performance of models: the fraction within a factor-of-two values ranges from 0.10 to 0.6 for peak concentration, from 0 to 1 for the peak and arrival times, and from 0 to 0.8 for the time duration. The results reveal that the characteristics of the release site largely influence the model simulation as it affects initial puff size and the initial downwind spread of the puff.

show abstract

Atmospheric dispersion and impact modeling systems: How are they perceived as support tools for nuclear crises management?

Cited by 9 publications

References 31 publications

Atmospheric Dispersion Modeling of Basis-Design Accident (Loca) and Radioactive Dose Assessment of Two Proposed Sites for Nuclear Power Plant in Tunisia

Atmospheric Dispersion Modeling of Basis-Design Accident (Loca) and Radioactive Dose Assessment of Two Proposed Sites for Nuclear Power Plant in Tunisia

Communicating Geographical Risks in Crisis Management: The Need for Research

UDINEE: Evaluation of Multiple Models with Data from the JU2003 Puff Releases in Oklahoma City. Part II: Simulation of Puff Parameters

Contact Info

Product

Resources

About