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Source inversion is an important way to quantitatively analyze the radioactive release source in nuclear accidents such as the Fukushima nuclear accident. This study presents an inversion method for radioactive release source estimates in nuclear accidents that couples a four-dimensional variational (4DVAR) data assimilation technique with a mesoscale atmospheric dispersion model. The method is formulated as an optimization problem between the real observation data and the background field. Environmental radiation monitoring data around the nuclear power station is used to calculate the gradient for cost function by integrating the adjoint to calculate the optimal source estimate. The advantage of this method is that the radionuclide transport is included in every time step in the data assimilation and the result is the global optimum over the whole assimilation period. The method was verified using the data of a wind tunnel experiment. The results demonstrate that source estimate errors are approximately 20%.
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2015, Vol. 55 
),曲静原1,姚仁太2,范丹2
