Large eddy simulation modelling of the dispersion of radioactive particulate matter

Fuka, Vladimír; Brechler, Josef

doi:10.1504/ijep.2012.049662

Cited by 5 publications

(3 citation statements)

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“…The CLMM (Charles University LES Microscale Model) has been developed at the Department of Meteorology and Environment Protection, Faculty of Mathematics and Physics at Charles University in Prague. Examples of previous use include study of the very stably stratified atmospheric boundary layer in [14] and mathematical simulation of the transport and dispersion of aerosol air pollution, see [15].…”

Section: Description Of the Clmmmentioning

confidence: 99%

Impact of Noise Barriers on Air-Pollution Dispersion

Brechler¹,

Fuka²

2014

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The impact of noise barriers on gaseous air-pollution dispersion was examined using the highresolution CLMM (Charles University LES (Large Eddy Simulation) Microscale Model). The dispersion of a mixture of nitrogen oxides (denoted as NO X-a mix of NO and NO 2) was computed, providing the simulation in which wind direction is approximately perpendicular to the noise barriers. The barriers were assumed to be straight and infinitely long, with a height of 3 m. Dispersion of NO x was modeled for situations with no noise barriers along the highway, barriers on both sides, and for a single barrier on the upwind and downwind sides of the highway. The modelling results are presented and discussed in relation to previous studies and the implications of the results are considered for pollution barriers along highways.

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Section: Description Of the Clmmmentioning

confidence: 99%

Impact of Noise Barriers on Air-Pollution Dispersion

Brechler¹,

Fuka²

2014

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“…Hong et al, 2017b), generic building block configurations (Hong et al, 2017a;Hong et al, 2018), isolated building configurations (e.g. Fuka and Brechler, 2012), isolated cross-ventilated building configurations (e.g. Tong et al, 2016a) and realistic building block configurations (Hofman et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Reduction of particulate matter concentrations by local removal in a building courtyard: Case study for the Delhi American Embassy School

Vervoort

Blocken

Hooff

2019

Science of The Total Environment

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Exposure to particulate matter (PM) is strongly linked to human morbidity and mortality, where higher exposure entails higher all-cause daily mortality and increased long-term risk of cardiopulmonary mortality. The objective of this study is to demonstrate how and to what extent the local removal of PM2.5 can lead to reduced exposure for the children and teachers in the naturally ventilated courtyard of the American Embassy School (AES) high school building in Delhi. The study is performed by computational fluid dynamics (CFD) with the 3D steady Reynolds-averaged Navier-Stokes (RANS) equations in combination with the realizable k-ε turbulence model on a very high resolution grid. First, CFD validation is performed using wind-tunnel experiments of the flow pattern in and above a generic single street canyon. Next, the case study is conducted where four commercially available electrostatic precipitation (ESP) units are installed at different positions in the courtyard and the resulting performance is evaluated. PM2.5 dispersion is modeled with an Eulerian advection-diffusion equation.It is shown that the best ESP positions yield volume-averaged PM2.5 concentration reductions up to 34.1% in the courtyard's corridors, demonstrating the proposed mitigation strategy to be effective. Perspectives for further reduction of the PM concentrations and the related reduction of health risks are discussed.

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“…Instead of RANS, de Sampaio et al (2008) used LES modeling and examined the timeevolution of the dispersion of radionuclides in the vicinity of nuclear power plants, illustrating the importance of the local phenomena on the dispersion problem. Also Fuka and Brechler (2012) and Nakayama et al (2013) employed LES to simulate the dispersion of radioactive matter. The main advantages of LES over RANS are its improved accuracy, and the fact that dispersion due to turbulent eddies is better captured.…”

Section: Introductionmentioning

confidence: 99%

Dynamic dose assessment by Large Eddy Simulation of the near-range atmospheric dispersion

2015

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In order to improve the simulation of the near-range atmospheric dispersion of radionuclides, computational fluid dynamics is becoming increasingly popular. In the current study, Large-Eddy Simulation is used to examine the time-evolution of the turbulent dispersion of radioactive gases in the atmospheric boundary layer, and it is coupled to a gamma dose rate model that is based on the point-kernel method with buildup factors. In this way, the variability of radiological dose rate from cloud shine due to instantaneous turbulent mixing processes can be evaluated. The steady release in an open field of (41)Ar and (133)Xe for 4 different release heights is studied, thus covering radionuclides that decay with a high-energy gamma and a low-energy gamma, respectively. Based on these simulations, the variability of dose rates at ground level for different averaging times in the dose measurements is analyzed. It is observed that turbulent variability in the wind field can lead to dose estimates that are underestimated by up to a factor of four when conventional long-term measurements are used to estimate the dose from short-term exposures.

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Large eddy simulation modelling of the dispersion of radioactive particulate matter

Cited by 5 publications

References 0 publications

Impact of Noise Barriers on Air-Pollution Dispersion

Impact of Noise Barriers on Air-Pollution Dispersion

Reduction of particulate matter concentrations by local removal in a building courtyard: Case study for the Delhi American Embassy School

Dynamic dose assessment by Large Eddy Simulation of the near-range atmospheric dispersion

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