Coupling of mesoscale meteorological model with particle trajectory model to study the atmospheric dispersion under sea breeze conditions

Oza, R.B.; Panchal, Naresh; Nambi, K.S.V.; Krishnamoorthy, T.M.

doi:10.1016/s1364-8152(00)00065-7

Cited by 5 publications

(2 citation statements)

References 17 publications

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“…All these studies have suggested the utility of coupling a particle trajectory model with a prognostic mesoscale meteorological model for effective simulation of the atmospheric dispersion in different atmospheric conditions. Dispersion under sea breeze conditions have been extensively studied by many investigators (Lyons and Cole 1973;Deardor and Willis 1982;Baerentsen and Berkowicz 1984;Shao et al 1991;Shao 1992;Lu and Turco 1994;Luhar and Sawford 1995;Kouchi et al 1999;Oza et al 2001;Degrazia et al 2007); however, in Dalian, China, air pollutant concentration estimation using a coupled mesoscale and particle trajectory model has not been reported. In this study, the land-sea breeze circulation model coupled with a random-walk model is developed by the analysis of the formation and the mechanism of the land-sea circulation.…”

Section: Introductionmentioning

confidence: 99%

Random-walk model simulation of air pollutant dispersion in atmospheric boundary layer in China

Wang

2010

Environ Monit Assess

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In this study, the land-sea breeze circulation model coupled with a random-walk model is developed by the analysis of the formation and the mechanism of the land-sea breeze. Based on the data of the land-sea circulation in Dalian, China, the model simulated the diurnal variation of pressure, flow, temperature, and turbulent kinetic energy field and also provides a basis for solving the air pollutant concentration in the land-sea breeze circulation so as to estimate the economic cost attributable to the atmospheric pollution. The air pollutant concentration in the background of land-sea circulation is also simulated by a Gaussian dispersion model, and the results revealed that the land-sea circulation model coupled with the random-walk model gives a reasonable description of air pollutant dispersion in coastal areas.

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Section: Introductionmentioning

confidence: 99%

Random-walk model simulation of air pollutant dispersion in atmospheric boundary layer in China

Wang

2010

Environ Monit Assess

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“…With the advent of very fast computer facilities it became possible to use prognostic meteorological models coupled with particle trajectory models to estimate atmospheric dispersion in complex terrain. Lagrangian dispersion models are very well suited to simulate the dispersion process 3,4 . With the increasing availability of fast computing systems the use of meteorological models coupled with a particle trajectory model may become a superior choice for studying dispersion in very complex conditions.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of accidental radioactive 'atmospheric discharges by nuclear reactors

Graça

2002

CeN

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The primary consideration concerning the safety of a nuclear installation refers to the protection of operators and the surrounding public both during normal operation as well as during an accidental release of radioactive contaminants into the atmosphere. The nuclear electricity generation has proved to be a safe technology, despite the generation of an enormous quantity of radioactive isotopes, both actinides and products of activation, considering the small number of accidental atmospheric dispersion events. In modern reactor installations like that of Angra I in Brazil, the monitoring of radioactivity has not lead to radioactive levels higher than normal accepted environmental levels. This is a consequence of safety features built into the plant in order that, should there be a radioactive release, no members of the public would be subjected to unacceptable levels of risk. Since there have been a very few number of reported reactor accidents, the design of a nuclear plant must resort to theoretical calculations and simulations of hypothetical releases to study the consequences of accidental dispersion of radioactive effluents. In this paper we consider the various stages related with the release of radioactivity from the irradiated nuclear fuel to the calculation of doses, starting from the radioactive inventory calculation followed with the model of radioactive release and the standard treatment for the effluents behavior in the atmosphere suggesting the gamma doses calculation to the public based in the use of the adjoint flux calculations, used as importance function, instead of the direct calculation. This new methodology will be more effective, considering the inherent large uncertainties in each stage of the radioactive release and dispersion computations. It is also necessary to remember that the system of dose limitation is based on maximum allowed levels of accidental release and maximum pollutants concentration (MCP) on air or on water and in this case the adjoint flux takes the function of the Importance of a particular radioactive release for the dose received by each irradiated individual, or for any other integral response.

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Dispersion of pollutants over land–water–land interface: Study using CALPUFF model

Indumati

Oza

Mayya

et al. 2009

Atmospheric Environment

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Coupling of mesoscale meteorological model with particle trajectory model to study the atmospheric dispersion under sea breeze conditions

Cited by 5 publications

References 17 publications

Random-walk model simulation of air pollutant dispersion in atmospheric boundary layer in China

Random-walk model simulation of air pollutant dispersion in atmospheric boundary layer in China

Evaluation of accidental radioactive 'atmospheric discharges by nuclear reactors

Dispersion of pollutants over land–water–land interface: Study using CALPUFF model

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