Simulation of Plume Dispersion from Single and Multiple Releases in Fusion Field Trial-07 Experiment
Abstract
For an efficient source term estimation, it is important to use an accurate dispersion model with appropriate dispersion parameters. This is examined by simulating the dispersion of plumes resulted from the available single and multiple releases conducted at Fusion Field Trials, Dugway Proving Ground, Utah. The simulation is carried out with an earlier developed IIT (Indian Institute of Technology) dispersion model using the dispersion parameters in terms of measurements of turbulent velocity fluctuations and Lagrangian time scales. Simulation is discussed separately in both stable and unstable conditions in light of (i) plume behavior of observed and predicted concentrations in the form of isopleths (ii) peak/maximum concentrations (iii) overall concentration distribution, in stable and unstable conditions and (iv) quantitative analysis i.e. statistical significance test for performance of the models. Simulated results from IIT model are compared with those obtained using AERMOD. Both, IIT model and AERMOD, predicted peak concentrations within a factor of two in all the releases and tracer transport is mostly along the mean wind direction. With IIT model, the higher concentrations (>5×10-4 gm-3), (>3×10-3 gm-3), (>7.1×10-3 gm-3), and (>3.6×10-4 gm-3) are well predicted respectively in single, double, triple and quad releases respectively in stable conditions and predicted well (with in a factor of two) in unstable conditions whereas relatively smaller concentrations (<5×10-4 gm-3), (<8.23×10-5 gm-3), (<6.01×10-5 gm-3), and (<3.6×10-4 gm-3) are severely under-predicted in single, double, triple and quad releases respectively in stable conditions and over-predicted in unstable conditions. The AERMOD exhibits the similar prediction of concentrations as shown by IIT model except slightly over-prediction in stable conditions and under-prediction in unstable conditions. The statistical measures for both the models are found good in agreement with the observations and a quantitative analysis based on F-test shows that the performance from both the models are found to be similar at 5% significance level.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2017
- Bibcode:
- 2017AGUFM.A41D2301P
- Keywords:
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- 0345 Pollution: urban and regional;
- ATMOSPHERIC COMPOSITION AND STRUCTURE;
- 0365 Troposphere: composition and chemistry;
- ATMOSPHERIC COMPOSITION AND STRUCTURE;
- 0368 Troposphere: constituent transport and chemistry;
- ATMOSPHERIC COMPOSITION AND STRUCTURE