Evaluation of four Lagrangian particle concentration calculation methods-Box counting, Gaussian kernel, Uniform kernel and Parabolic kernel
YANG Li1, WANG Cun-you1, CHEN Yi-xue1, ZHUANG Shu-han2, LI Xin-peng1, FANG Sheng2
1. School of Nuclear Science and Engineering, North China Electric Power University, Beijing 102206, China; 2. Institute of Nuclear and New Energy Technology, Tsinghua University, Beijing 100084, China
Abstract：The efficiency of four concentration calculation methods for Lagrangian particle dispersion model (the Box counting, Gaussian kernel, Uniform kernel and Parabolic kernel) was investigated, by simulating the local-scale dispersion of radionuclides 137Cs released from the Fukushima Daiichi nuclear accident. The meteorological diagnostic model CALMET was used to calculate the input wind field for the Lagrangian particle dispersion model LAPMOD. The simulated 137Cs concentrations were validated with measured data at the Futaba and Naraha monitoring stations. The four methods successfully reproduce most of the measured peaks at the two stations (average FAC10 of Futaba: 0.57; average FAC10 of Naraha: 0.55) was indicated by the results. The results of the Box counting, Uniform kernel and Parabolic kernel were closer to the observed peaks and generally met the statistical acceptance criteria, but the results of the Gaussian kernel were significantly underestimated. The concentration distribution results indicated that the Box counting, Uniform kernel, and Parabolic kernel follow the same numerical trend. In addition, the plumes of the Uniform kernel and Parabolic kernel spread more widely, while the concentration results of Gaussian kernel decayed rapidly in the downwind direction.
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