Stochastic Wind Profiles Determination for Radioactive Substances Released from Nuclear Power Plants
In this review we discuss a stochastic turbulent wind proï¬le based on the three-dimensional stochastic Langevin equation for Gram-Chalier probability density function and a known mean wind velocity. Its solution permits to simulate radioactive substances dispersion in a turbulent regime, which is...
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| Autores principales: | , , |
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| Formato: | Capítulo de libro |
| Lenguaje: | inglés |
| Publicado: |
IntechOpen
2010
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| Materias: | |
| Acceso en línea: | https://www.intechopen.com/chapters/11574 |
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| Sumario: | In this review we discuss a stochastic turbulent wind proï¬le based on the three-dimensional stochastic Langevin equation for Gram-Chalier probability density function and a known mean wind velocity. Its solution permits to simulate radioactive substances dispersion in a turbulent regime, which is of interest for nuclear reactor accident scenarios and their related emergency actions. We discuss the stochastic Langevin equation together with an analytical method for solving the three-dimensional and time dependent equation which is then applied to radioactive substance dispersion for a stochastic turbulence model. The solution is obtained using the Adomian Decomposition Method, which provides a direct scheme for solving the problem without the need for linearisation and any transformation. The results of the model are compared to case studies with measured data and further compared to procedures and predictions from other approaches. |
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| ISBN: | 978-953-307-110-7 |
| DOI: | 10.5772/9914 |