scholarly journals Simulation of Diurnal Variation of Atmosheric 222Rn Concentrations with Three-Dimensional Atmospheric Dispersion Model.

1996 ◽  
Vol 31 (2) ◽  
pp. 161-168 ◽  
Author(s):  
Tetsuya SAKASHITA ◽  
Toshiyuki MURAKAMI ◽  
Takao IIDA ◽  
Yukimasa IKEBE ◽  
Masamichi CHINO ◽  
...  
Keyword(s):  
Diurnal Variation ◽  
Dispersion Model ◽  
Atmospheric Dispersion ◽  
Three Dimensional ◽  
Atmospheric Dispersion Model

scholarly journals A three-dimensional atmospheric dispersion model for Mars

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
D. Viúdez-Moreiras
Keyword(s):  
Dispersion Model ◽  
Regional Scale ◽  
Atmospheric Dispersion ◽  
Three Dimensional ◽  
Chemical Species ◽  
Dispersion Models ◽  
Uniform Grids ◽  
Atmospheric Dispersion Model ◽  
Meteorological Models

Abstract Atmospheric local-to-regional dispersion models are widely used on Earth to predict and study the effects of chemical species emitted into the atmosphere and to contextualize sparse data acquired at particular locations and/or times. However, to date, no local-to-regional dispersion models for Mars have been developed; only mesoscale/microscale meteorological models have some dispersion and chemical capabilities, but they do not offer the versatility of a dedicated atmospheric dispersion model when studying the dispersion of chemical species in the atmosphere, as it is performed on Earth. Here, a new three-dimensional local-to-regional-scale Eulerian atmospheric dispersion model for Mars (DISVERMAR) that can simulate emissions to the Martian atmosphere from particular locations or regions including chemical loss and predefined deposition rates, is presented. The model can deal with topography and non-uniform grids. As a case study, the model is applied to the simulation of methane spikes as detected by NASA’s Mars Science Laboratory (MSL); this choice is made given the strong interest in and controversy regarding the detection and variability of this chemical species on Mars.

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

Parallelisation of the Lagrangian atmospheric dispersion model NAME

2013 ◽  
Vol 184 (12) ◽  
pp. 2734-2745 ◽  
Author(s):  
Eike H. Müller ◽  
Rupert Ford ◽  
Matthew C. Hort ◽  
Lois Huggett ◽  
Graham Riley ◽  
...  
Keyword(s):  
Dispersion Model ◽  
Atmospheric Dispersion ◽  
Atmospheric Dispersion Model
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