Free Journal: Assessment of a CFD Model for Short-Range Plume Dispersion: Applications to the Fusion Field Trial 2007 (FFT-07) Diffusion Experiment
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See also journal: Global Precipitation Measurements for Validating Climate Models
In case of an accidental or deliberated release of the air pollutants or harmful substances into the atmosphere, it is important to predict where, when and how seriously a released contaminant can affect a specific region. In these situations, the atmospheric dispersion of hazardous contaminants is the first concern for the exposure on surrounding environment and human health, emergency response and risk assessment. The dispersion of air pollutants in the atmosphere is a challenging problem due to the complex interaction of plume with turbulent eddies and complex nature of inhomogeneous sheared turbulence near a rough boundary, meteorological and stability conditions such as wind, temperature inversion and foggy atmosphere (Kumar and Sharan, 2010).
Extensive meteorological and turbulence measurements from many Portable Weather Instrumentation Data system (PWIDs) and ultrasonic anemometer/thermometer (sonic) and other instruments were acquired during this experiment. Three-dimensional sonic anemometers were mounted at five levels (2, 4, 8, 16, and 32 m) on three towers located at grid centre, 750 m north-northwest of grid centre, and 750 m southsouthwest of grid centre. The sonic data from these three towers is processed to produce wind and turbulence statistics and surface fluxes of heat and momentum. In this study, the observations from seven FFT- 07 trials 07, 13, 14, 16, 30, 45 and 45 in different atmospheric stability conditions are considered and utilized for the forward dispersion of tracer from a single point release.
Chang and Hanna (2004) provided a detailed analysis of the standard statistical measures for air quality model's performance evaluation. Accordingly, the standard statistical measures such as, Normalized Mean Square Error (NMSE), Fractional Bias (FB), Correlation coefficient (COR), Factor of Two (FAC2), and Index of Agreement (IA) are computed to evaluate the CFD model performance. The positive or negative values of the FB respectively indicate an overall under- or over-prediction from the observations. The NMSE characterizes the scattering in a sample. The ideal values of NMSE = 0 and FB= 0; and COR = 1, FAC2 = 1, and IA =1 for a prefect model (Chang and Hanna, 2004).
Inclusion of the variability of the ambient wind conditions with time is required and the unsteady RANS simulations instead of the RANS may be useful when the variability in the wind is significant during a continuous release. The CFD simulations and a comprehensive statistical performance analysis and comparison of the results with FFT-07 observations exhibit the practical utility of the CFD modelling for short-range atmospheric dispersion problems in various stability conditions. This study is also an essential part to utilize the CFD model fluidyn-PANACHE with an inversion approach to retrieve the location and intensity of an unknown atmospheric tracer sources in various atmospheric conditions.
Journal Title: "Assessment of a CFD Model for Short-Range Plume Dispersion: Applications to the Fusion Field Trial 2007 (FFT-07) Diffusion Experiment". By: Pramod Kumar, Sarvesh Kumar Singh, Pierre Ngae, Amir-Ali Feiz, Grégory Turbelin. To appear in: Atmospheric Research, DOI: /10.1016/j.atmosres.2017.06.025, 0169-8095/ © 2017 Elsevier B.V. All rights reserved, Received 4 February 2017; Received in revised form 20 June 2017; Accepted 22 June 2017.
Download Full Journal Below:
Referensi:
Researchgate
See also journal: Global Precipitation Measurements for Validating Climate Models
In case of an accidental or deliberated release of the air pollutants or harmful substances into the atmosphere, it is important to predict where, when and how seriously a released contaminant can affect a specific region. In these situations, the atmospheric dispersion of hazardous contaminants is the first concern for the exposure on surrounding environment and human health, emergency response and risk assessment. The dispersion of air pollutants in the atmosphere is a challenging problem due to the complex interaction of plume with turbulent eddies and complex nature of inhomogeneous sheared turbulence near a rough boundary, meteorological and stability conditions such as wind, temperature inversion and foggy atmosphere (Kumar and Sharan, 2010).
Extensive meteorological and turbulence measurements from many Portable Weather Instrumentation Data system (PWIDs) and ultrasonic anemometer/thermometer (sonic) and other instruments were acquired during this experiment. Three-dimensional sonic anemometers were mounted at five levels (2, 4, 8, 16, and 32 m) on three towers located at grid centre, 750 m north-northwest of grid centre, and 750 m southsouthwest of grid centre. The sonic data from these three towers is processed to produce wind and turbulence statistics and surface fluxes of heat and momentum. In this study, the observations from seven FFT- 07 trials 07, 13, 14, 16, 30, 45 and 45 in different atmospheric stability conditions are considered and utilized for the forward dispersion of tracer from a single point release.
Chang and Hanna (2004) provided a detailed analysis of the standard statistical measures for air quality model's performance evaluation. Accordingly, the standard statistical measures such as, Normalized Mean Square Error (NMSE), Fractional Bias (FB), Correlation coefficient (COR), Factor of Two (FAC2), and Index of Agreement (IA) are computed to evaluate the CFD model performance. The positive or negative values of the FB respectively indicate an overall under- or over-prediction from the observations. The NMSE characterizes the scattering in a sample. The ideal values of NMSE = 0 and FB= 0; and COR = 1, FAC2 = 1, and IA =1 for a prefect model (Chang and Hanna, 2004).
Inclusion of the variability of the ambient wind conditions with time is required and the unsteady RANS simulations instead of the RANS may be useful when the variability in the wind is significant during a continuous release. The CFD simulations and a comprehensive statistical performance analysis and comparison of the results with FFT-07 observations exhibit the practical utility of the CFD modelling for short-range atmospheric dispersion problems in various stability conditions. This study is also an essential part to utilize the CFD model fluidyn-PANACHE with an inversion approach to retrieve the location and intensity of an unknown atmospheric tracer sources in various atmospheric conditions.
Journal Title: "Assessment of a CFD Model for Short-Range Plume Dispersion: Applications to the Fusion Field Trial 2007 (FFT-07) Diffusion Experiment". By: Pramod Kumar, Sarvesh Kumar Singh, Pierre Ngae, Amir-Ali Feiz, Grégory Turbelin. To appear in: Atmospheric Research, DOI: /10.1016/j.atmosres.2017.06.025, 0169-8095/ © 2017 Elsevier B.V. All rights reserved, Received 4 February 2017; Received in revised form 20 June 2017; Accepted 22 June 2017.
Download Full Journal Below:
Referensi:
Researchgate
