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Miyamura, Hiroko; Takemiya, Hiroshi; Wu, H.-Y.*; Takahashi, Shigeo*
Kashika Joho Gakkai-Shi, 36(143), p.152 - 156, 2016/10
Broad survey on the distribution of the air dose rate has been performed after the accident at the Fukushima Daiichi Nuclear Power Plant continuously. The surveyed monitoring datasets are stored in a database and are made available to the public. Recently, the size of the datasets have been significantly increased as more detailed measurements in space and time are available, and effective reduction of the size of the datasets is necessary for visualizing and exploring such large scale datasets. However, if the datasets are not carefully reduced, we often miss a part of important features of the distribution data. Therefore, we develop an effective Level of Detail control (LoD) method for retaining critical features of the distribution. In the method, the global and local features of the distribution are extracted by means of differential topology analyses. Then, the simplified data is created by edge collapse operation with taking into account these features of the data.
Miyamura, Hiroko; Takahashi, Shigeo*; Idomura, Yasuhiro; Takemiya, Hiroshi
no journal, ,
We propose a level-of-detail control method for environmental monitoring datasets. The radioactive substance emitted due to the accident at the nuclear power plant in Fukushima was spread by an air current. The air dose distribution map suggests that the air current was not able to rise above a certain height in the mountainous district. We propose a new level-of-detail control method that reduces the visualization element while retaining features of two or more data elements such as the distribution of air dose and height for analyzing the relationship between two or more datasets.
