scholarly journals Atmospheric Transport Modeling with 3D Lagrangian Dispersion Codes Compared with SF6 Tracer Experiments at Regional Scale

2007 ◽  
Vol 2007 ◽  
pp. 1-13 ◽  
Author(s):  
François Van Dorpe ◽  
Bertrand Iooss ◽  
Vladimir Semenov ◽  
Olga Sorokovikova ◽  
Alexey Fokin ◽  
...  
Keyword(s):  
Nuclear Power ◽  
Atmospheric Transport ◽  
Regional Scale ◽  
Atmospheric Dispersion ◽  
Large Field ◽  
Dispersion Modeling ◽  
Order Of Magnitude ◽  
Lagrangian Dispersion ◽  
Atmospheric Transport Modeling ◽  
Tracer Experiments

The results of four gas tracer experiments of atmospheric dispersion on a regional scale are used for the benchmarking of two atmospheric dispersion modeling codes, MINERVE-SPRAY (CEA), and NOSTRADAMUS (IBRAE). The main topic of this comparison is to estimate the Lagrangian code capability to predict the radionuclide atmospheric transfer on a large field, in the case of risk assessment of nuclear power plant for example. For the four experiments, the results of calculations show a rather good agreement between the two codes, and the order of magnitude of the concentrations measured on the soil is predicted. Simulation is best for sampling points located ten kilometers from the source, while we note a divergence for more distant points results (difference in concentrations by a factor 2 to 5). This divergence may be explained by the fact that, for these four experiments, only one weather station (near the point source) was used on a field of 10 000 km2, generating the simulation of a uniform wind field throughout the calculation domain.

scholarly journals Radiation Dose Calculations for a Hypothetical Accident in Xianning Nuclear Power Plant

2016 ◽  
Vol 2016 ◽  
pp. 1-6 ◽  
Author(s):  
Bo Cao ◽  
Junxiao Zheng ◽  
Yixue Chen
Keyword(s):  
Radiation Dose ◽  
Nuclear Power ◽  
Atmospheric Dispersion ◽  
Harmful Effect ◽  
Atmospheric Stability ◽  
Dispersion Modeling ◽  
Dose Calculations ◽  
Air Concentration ◽  
The Public ◽  
Ground Deposition

Atmospheric dispersion modeling and radiation dose calculations have been performed for a hypothetical AP1000 SGTR accident by HotSpot code 3.03. TEDE, the respiratory time-integrated air concentration, and the ground deposition are calculated for various atmospheric stability classes, Pasquill stability categories A–F with site-specific averaged meteorological conditions. The results indicate that the maximum plume centerline ground deposition value of1.2E+2 kBq/m2occurred at about 1.4 km and the maximum TEDE value of1.41E-05 Sv occurred at 1.4 km from the reactor. It is still far below the annual regulatory limits of 1 mSv for the public as set in IAEA Safety Report Series number 115. The released radionuclides might be transported to long distances but will not have any harmful effect on the public.

Estimation of Radiological Consequences at a Proposed Nuclear Power Plant Site Using Atmospheric Dispersion Code

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Kwame Gyamfi ◽  
Sylvester Attakorah Birikorang ◽  
Emmanuel Ampomah-Amoako ◽  
John Justice Fletcher
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Nuclear Power ◽  
Atmospheric Dispersion ◽  
Atmospheric Stability ◽  
Assessment System ◽  
Severe Accident ◽  
Dispersion Modeling ◽  
Stability Class ◽  
Total Effective Dose Equivalent

Abstract Atmospheric dispersion modeling and radiation dose calculation have been performed for a generic 1000 MW water-water energy reactor (VVER-1000) assuming a hypothetical loss of coolant accident (LOCA). Atmospheric dispersion code, International Radiological Assessment System (InterRAS), was employed to estimate the radiological consequences of a severe accident at a proposed nuclear power plant (NPP) site. The total effective dose equivalent (TEDE) and the ground deposition were calculated for various atmospheric stability classes, A to F, with the site-specific averaged meteorological conditions. From the analysis, 3.7×10−1 Sv was estimated as the maximum TEDE corresponding to a downwind distance of 0.1 km within the dominating atmospheric stability class (class A) of the proposed site. The intervention distance for evacuation (50 mSv) and sheltering (10 mSv) were estimated for different stability classes at different distances. The intervention area for evacuation ended at 0.5 km and that for sheltering at 1.5 km. The results from the study show that designated area for public occupancy will not be affected since the estimated doses were below the annual regulatory limits of 1 mSv.

scholarly journals Development of radionuclide dispersion modeling software based on Gaussian Plume model

MATEMATIKA ◽  
2017 ◽  
Vol 33 (2) ◽  
pp. 149
Author(s):  
Shazmeen Daniar Shamsuddin ◽  
Nurlyana Omar ◽  
Meng Hock Koh
Keyword(s):  
Nuclear Power ◽  
Meteorological Data ◽  
Atmospheric Dispersion ◽  
Dispersion Modeling ◽  
Gaussian Plume Model ◽  
Plume Model ◽  
The North ◽  
Radioactive Effluent ◽  
Modeling Software ◽  
Gaussian Plume

It has come to attention that Malaysia have been aiming to build its own nuclear power plant (NPP) for electricity generation in 2030 to diversify the national energy supply and resources. As part of the regulation to build a NPP, environmental risk assessment analysis which includes the atmospheric dispersion assessment has to be performed as required by the Malaysian Atomic Energy Licensing Board (AELB) prior to the commissioning process. The assessment is to investigate the dispersion of radioactive effluent from the NPP in the event of nuclear accident. This article will focus on current development of locally developed atmospheric dispersion modeling code based on Gaussian Plume model. The code is written in Fortran computer language and has been benchmarked to a readily available HotSpot software. The radionuclide release rate entering the Gaussian equation is approximated to the value found in the Fukushima NPP accident in 2011. Meteorological data of Mersing District, Johor of year 2013 is utilized for the calculations. The results show that the dispersion of radionuclide effluent can potentially affect areas around Johor Bahru district, Singapore and some parts of Riau when the wind direction blows from the North-northeast direction. The results from our code was found to be in good agreement with the one obtained from HotSpot, with less than 1% discrepancy between the two.

SWIFT-RIMPUFF Modeling of Air Dispersion at a Nuclear Powerplant Site With Heterogeneous Upwind Topography

2021 ◽  
Author(s):  
Xinwen Dong ◽  
Sheng Fang ◽  
Shuhan Zhuang
Keyword(s):  
Nuclear Power ◽  
Atmospheric Dispersion ◽  
Dispersion Modeling ◽  
Air Dispersion ◽  
Local Topography ◽  
Building Effects ◽  
Building Area ◽  
Wind Flows ◽  
Wind Profiles ◽  
Sea Area

Abstract The SWIFT-RIMPUFF can provide refined atmospheric dispersion modeling for nuclear emergency response, but its performance for the mesoscale range in a nuclear power plant (NPP) site with highly complex topographies hasn’t been fully investigated. In this study, a validation of SWIFT-RIMPUFF was performed based on a wind tunnel experiment simulating a real China’s multi-reactor NPP site with heterogeneous upwind topography and dense buildings to understand the potential discrepancies or limits. The results demonstrate that the SWIFT-RIMPUFF can reproduce the sharp changes of wind flows for both speed and directions near the buildings, but usually overestimate the wind speed in the complex topography. For vertical wind profiles, the accuracies show high dependencies on the local topography and building layout, and the deviation of those near the building is more obvious. The simulated ground concentrations match the topographic changes of high-altitude mountains. The concentration predictions in the downwind building area are acceptable which displays that the influence of building effects can be well introduced, but the simulations in the building area still show noticeable discrepancies when compared with those in the sea area. However, such deviations do not propagate to the downwind mountainous and sea areas, which the accuracies are quite satisfactory.

scholarly journals Global inverse modeling of CH<sub>4</sub> sources and sinks: An overview of methods

2016 ◽  
Author(s):  
Sander Houweling ◽  
Peter Bergamaschi ◽  
Frederic Chevallier ◽  
Martin Heimann ◽  
Thomas Kaminski ◽  
...  
Keyword(s):  
Inverse Modeling ◽  
Process Model ◽  
Atmospheric Transport ◽  
Regional Scale ◽  
Data Uncertainty ◽  
Grand Challenge ◽  
Sources And Sinks ◽  
Multiple Data ◽  
Methodological Aspects ◽  
Atmospheric Transport Modeling

Abstract. The aim of this paper is to present an overview of inverse modeling methods that have been developed over the years for estimating the global sources and sinks of CH4. It provides insight into how techniques and estimates have evolved over time, and what the remaining shortcomings are. As such, it serves a didactical purpose of introducing apprentices to the field, but it also takes stock of the developments so far and reflects on promising new directions. The main focus is on methodological aspects that are particularly relevant for CH4, such as its atmospheric oxidation, the use of methane isotopologues, and specific challenges in atmospheric transport modeling of CH4. The use of satellite retrievals receives special attention, as it is an active field of methodological development, with special requirements on the sampling of the model and the treatment of data uncertainty. Regional scale flux estimation and attribution is still a grand challenge, which calls for new methods capable of combining information from multiple data streams of different measured parameters. A process model representation of sources and sinks in atmospheric transport inversion schemes allows the integrated use of such data. These new developments are needed not only to improve our understanding of the main processes driving the observed global trend, but also to support international efforts to reduce greenhouse gas emissions.

scholarly journals Global inverse modeling of CH<sub>4</sub> sources and sinks: an overview of methods

2017 ◽  
Vol 17 (1) ◽  
pp. 235-256 ◽  
Author(s):  
Sander Houweling ◽  
Peter Bergamaschi ◽  
Frederic Chevallier ◽  
Martin Heimann ◽  
Thomas Kaminski ◽  
...  
Keyword(s):  
Inverse Modeling ◽  
Process Model ◽  
Atmospheric Transport ◽  
Regional Scale ◽  
Data Uncertainty ◽  
Grand Challenge ◽  
Sources And Sinks ◽  
Multiple Data ◽  
Methodological Aspects ◽  
Atmospheric Transport Modeling

Abstract. The aim of this paper is to present an overview of inverse modeling methods that have been developed over the years for estimating the global sources and sinks of CH4. It provides insight into how techniques and estimates have evolved over time and what the remaining shortcomings are. As such, it serves a didactical purpose of introducing apprentices to the field, but it also takes stock of developments so far and reflects on promising new directions. The main focus is on methodological aspects that are particularly relevant for CH4, such as its atmospheric oxidation, the use of methane isotopologues, and specific challenges in atmospheric transport modeling of CH4. The use of satellite retrievals receives special attention as it is an active field of methodological development, with special requirements on the sampling of the model and the treatment of data uncertainty. Regional scale flux estimation and attribution is still a grand challenge, which calls for new methods capable of combining information from multiple data streams of different measured parameters. A process model representation of sources and sinks in atmospheric transport inversion schemes allows the integrated use of such data. These new developments are needed not only to improve our understanding of the main processes driving the observed global trend but also to support international efforts to reduce greenhouse gas emissions.

Air–Sea Transport, Dispersion, and Fate Modeling in the Vicinity of the Fukushima Nuclear Power Plant: A Special Conference Session Summary

2013 ◽  
Vol 94 (1) ◽  
pp. 31-39 ◽  
Author(s):  
Julie Pullen ◽  
Joseph Chang ◽  
Steven Hanna
Keyword(s):  
Decision Making ◽  
Emergency Preparedness ◽  
Nuclear Power ◽  
Source Term ◽  
Atmospheric Transport ◽  
Dispersion Modeling ◽  
Annual Conference ◽  
Sea Transport ◽  
Plume Model ◽  
Conference Session

The March 2011 tragedy at the coastal Fukushima Daiichi nuclear plant created a contaminant release that was transported and dispersed in both the air and the sea. Two months after the event, the authors began planning for a special July 2011 conference session (“Fukushima crisis: Air and sea transport modeling” at the 15th Annual Conference on Atmospheric Transport and Dispersion Modeling; see http://camp.cos.gmu.edu/Agenda-fifteenth-GMU-Conference.pdf) to draw together experts who were directly involved in the scientific modeling and decision making. The focus was on presentations describing the releases to the atmosphere and ocean, how the models performed, and how predictive modeling can effectively inform crisis decision making. This paper provides an overview of the short-range (within and near Japan) modeling conducted for the crisis and identifies some key steps that might improve the modeling response to incidents occurring in a complex coastal zone. Those steps include operational protocols to deal with source-term uncertainty, scientific approaches to addressing the linkage of air–sea source terms and their subsequent transformations, and improvements in coupled air–sea models for better prediction in coastal regions. The conference included anecdotes from those deployed in Japan and tasked to deliver and interpret plume model products. The conference presentations provide insights that could benefit emergency preparedness, response, and recovery for a similar disaster in the future. There is a need for a well-rehearsed approach to sharing plume model information among agencies and among international partners, and for scientific expertise to help interpret the operational relevance of models lacking source-term certitude.

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