Mass flux analysis of 137Cs plumes emitted from the Fukushima Daiichi nuclear power plant

被引:9
|
作者
Sekiyama, Tsuyoshi Thomas [1 ]
Iwasaki, Toshiki [2 ]
机构
[1] Meteorol Res Inst, Tsukuba, Ibaraki, Japan
[2] Tohoku Univ, Grad Sch Sci, Sendai, Miyagi, Japan
关键词
plume dispersion; numerical simulation; mass flux analysis; radioactive cesium-137; Fukushima nuclear accident; NONHYDROSTATIC MODEL; DATA ASSIMILATION; SIMULATIONS; ACCIDENT; TROPOSPHERE; DEPOSITION; DISPERSION; TRANSPORT;
D O I
10.1080/16000889.2018.1507390
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The flow vectors of radioactive cesium-137 (Cs-137) plume emitted from the Fukushima Daiichi nuclear power plant in March 2011 were quantitatively depicted by a mass flux analysis in this study. Cs-137 plumes were calculated by an Eulerian dispersion model with a 3-km horizontal resolution. The vertically column-integrated mass flux was consistent with the flow approximation based on ground surface Cs-137 observations, even though there were some discrepancies that were caused by differences in the wind direction between the ground surface and the dominant plume layer. These discrepancies were explained by combining the use of the ground surface horizontal mass flux with the column-integrated mass flux. The mass flux analysis clearly provided an illustration of Cs-137 dominant stream locations, directions, and depositions by reducing high-dimensional model outputs into a lower-dimensional plot. Mass flux (i.e. the product of the mass density and wind velocity) has often been used in dynamic meteorology but has not been used as frequently in atmospheric chemistry or pollutant dispersion studies. However, the concept of mass flux is a robust alternative for conventional validation approaches that only utilize a time series of pollutant concentrations. Mass flux analyses can be used further in atmospheric chemistry as a quantitative visualization tool to track the emission, advection, dispersion, and deposition of atmospheric constituents.
引用
收藏
页码:1 / 11
页数:11
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