Nuclear tools for characterising radiological dispersion in complex terrain: evaluation of regulatory and emergency response models

Williams, Alastair G.; Clark, Geoffrey H.; Dyer, Leisa; Barton, Richard G.

doi:10.1504/ijep.2005.007387

Cited by 5 publications

(6 citation statements)

References 14 publications

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“…LSMC and LINCOM have very similar results for the station LH under all stabilities with LSMC performing slightly better than LINCOM under stable conditions and LINCOM performing better under unstable conditions. Williams et al (2005) showed that NUATMOS was significantly better than LINCOM for the station BT with complex terrain and similarly here, LSMC is also significantly better than LINCOM at BT for all statistics under all stabilities. The most significant difference between the two model combinations for station WS is LSMC performing poorly with FA2 of 40% but slightly better compared to LINCOM's FA2 of 20%.…”

Section: Comparing Lsmc With Lincom and Nuatmossupporting

confidence: 68%

“…Therefore, it was decided that NUATMOS with RIMPUFF would be the best model combination for the emergency response system at ANSTO. More recent model evaluation results of LINCOM/RIMPUFF and NUATMOS/RIMPUFF are reported in a recent study by Williams et al (2005) which serves as a useful benchmark for the evaluation presented here of LSMC/RIMPUFF. The model combinations with RIMPUFF are hereon in known as LINCOM, NUATMOS and LSMC.…”

Section: Atmospheric Dispersion Modelsmentioning

confidence: 99%

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Evaluating emergency response models of radiological dispersion in complex terrain

Dyer

2011

IJEP

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Operational airborne releases of trace quantities of the radioactive noble gas Ar-41 from the HIFAR Nuclear Research Reactor located in Sydney, Australia are valuable for evaluating emergency response models incorporating radiological dispersion. The Australian Nuclear Science and Technology Organisation (ANSTO), where the reactor is located, has a network of meteorological stations and GR-150 environmental gamma dose detectors placed in complex terrain within a 5km radius of the site. The current version of ANSTO's Emergency Response System feeds real-time meteorological data from this network into the wind field model NUATMOS, which is then subsequently used, together with known source emissions of Ar-41 from HIFAR, to drive the Lagrangian mesoscale atmospheric dispersion puff model RIMPUFF. Output from RIMPUFF is compared with data from the gamma dose monitoring network in order to assess the overall performance of the system. An updated model combination LSMC/RIMPUFF has recently been evaluated using Ar-41 peak observations from the detector network during 2002-03 under a range of atmospheric stability conditions. Sensitivity tests of the new model version were performed by perturbing the gridded meteorological data within the model domain, which incorporates complex terrain. Results from statistical analyses of the model output are reported, assessing the suitability of LSMC/RIMPUFF to replace the current models in the Emergency Response System. The LSMC/RIMPUFF evaluation results are compared with two previous evaluations carried out in 2004, of LSMC's predecessor LINCOM/RIMPUFF and the NUATMOS/RIMPUFF combination currently used at ANSTO. Results from these tests have been favourable for LSMC/RIMPUFF, which is consequently now likely to replace the older models within ANSTO's Emergency Response System. The decision support system ARGOS, which also incorporates the LSMC/RIMPUFF model, is currently being evaluated for potential use by a number of Organisations within Australia including ANSTO. Some results of this initial evaluation will also be included here.

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Section: Comparing Lsmc With Lincom and Nuatmossupporting

confidence: 68%

Section: Atmospheric Dispersion Modelsmentioning

confidence: 99%

Evaluating emergency response models of radiological dispersion in complex terrain

Dyer

2011

IJEP

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“…The RIMPUFF model produces forward time predictions of material dispersion and deposition (forward dispersion analysis) and is capable of using local numerical weather prediction data. The maximum spatial grid resolution is 50 m. The RIMPUFF model has previously been used in evaluation studies at the ANSTO site (Williams et al, 2005). RIMPUFF has been applied to the radioxenon release using Limited Area Prediction System (LAPS) numerical weather data provided by the Melbourne Bureau of Meteorology.…”

Section: Rimpuff Within Argosmentioning

confidence: 99%

Evaluation of radioxenon releases in Australia using atmospheric dispersion modelling tools

Tinker¹,

Orr²,

Grzechnik³

et al. 2010

Journal of Environmental Radioactivity

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“…In this work, the researchers assess the radiological dose resulting from radioactive discharge into the environment by the Pc-Cream98 (Consequences of Release to the Environment Assessment Methodology) computer code. Whereas, there are many researches on radiation assessment by using computational modeling Pc-Cream98 which done by other researches in different parts of the globe [1,2,3,4], so it's a good method for assessing the radiological dose resulting from radioactive discharge into the environment of nuclear facilities.…”

Section: Introductionmentioning

confidence: 99%

Radiological Assessment of Atmospheric Release from Tehran Research Reactor during Normal Operation by Using Pc-Cream Code

Sadeghi

Ahangari

2016

ILNS

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Abstract. In this work, radiological assessment of atmospheric release from Tehran's Research Reactor (TRR) stack and assessment of public exposures under normal operation has been studied. To perform tasks mentioned above, Pc-Cream computer code which simulates Gaussian Dispersion air transport plume model as well as laboratory analysis of the soil and leaves samples and TLD (Thermo Luminescent Dosimeter) monitoring around the TRR site was used. Results of the PcCream code showed that the annual committed and external dose received by the individual in the vicinity of the reactor is below the regulatory limit. Also, the results of laboratory analysis of available radionuclides in the soil and leaves samples showed that the concentrations are close to the background (K40=635, Th232=28, Cs137=0.29 up to 28.82, Ra226=25 (Bq 1 /Kg) in soil and K40=457, Be7≈70 (Bq/Kg) in leaves) and confirm the code results. The monitored dose values of the TLD detectors were positioned around the reactor within 500 m radius shows that the background dose in vicinity of TRR (113 μSv up to 150 μSv) is consistent with the background dose in Tehran province (125 μSv).

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Nuclear tools for characterising radiological dispersion in complex terrain: evaluation of regulatory and emergency response models

Cited by 5 publications

References 14 publications

Evaluating emergency response models of radiological dispersion in complex terrain

Evaluating emergency response models of radiological dispersion in complex terrain

Evaluation of radioxenon releases in Australia using atmospheric dispersion modelling tools

Radiological Assessment of Atmospheric Release from Tehran Research Reactor during Normal Operation by Using Pc-Cream Code

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