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Niizato, Tadafumi; Kamikawa, Tsutomu*; Oki, Noriko*
Joho Chishitsu, 35(4), p.99 - 108, 2024/12
Extraction of the needs related to countermeasures against radioactive contamination was conducted by access analysis of the "Base Information Q&A Site" operated by JAEA and text mining of stenographic text data from a briefing on R&D by JAEA for local government officials. The results of the access analysis indicated that even after over 10 years had passed since the 1F accident, there were needs for data and information on the concentration of radiocesium in the environment, and agricultural, forestry, and fishery products and air dose rates used as a degree of radioactive contamination and evidence for the lifting of evacuation orders. The text mining results suggested the needs for data and information on radiocesium concentrations and air dose rates for river systems and aquatic products in the northern part of Hamadori, for forested environment and forest products in Nakadori, and for decontamination and air dose rates in forests and reservoirs in the southern part of Hamadori, as well as for monitoring data on changes in air dose rates after decontamination. The needs for information and data based on surveys and monitoring on the current situation of radioactive contamination rather than the future situation were also inferred.
Takai, Shizuka; Shimada, Taro; Takeda, Seiji; Koike, Katsuaki*
Joho Chishitsu, 32(3), P. 95, 2021/09
We received best presentation award GEOINROUM-2021 for the presentation on "Estimation of contaminated materials concentration by a geostatistical method with groundwater flow". We submit the comments of impression for getting the Award to Geoinformatics.
Nakayasu, Akio*; Doke, Ryosuke*; Niizato, Tadafumi; Urabe, Atsushi*; Ono, Eisuke*
Joho Chishitsu, 25(4), p.189 - 203, 2014/12
Various uncertainties exist in the data using in the research of geomorphology and geology. When the development process of the geological environment is restored using the data with these uncertainties, the result of the model or simulation inevitably includes uncertainties derived from the uncertainties of data. Especially, in the geological environment model dealing with chronological change of the site (Site Evolution Model) which consists from various kinds of data, the quality assessment/control in each data is important. In this study, the factors of the uncertainties occurred in the process of data acquisition for the estimation of uplift rate, which is one of the data for drawing the topographic evolution, are analyzed by using Evidential Support Logic (ESL). The result of this study is assumed to be used as a tool for extracting the factor of uncertainties in the planning of the investigation, and for controlling the quality of results in the implementation of the investigation.
Niizato, Tadafumi; Yasue, Kenichi; Doke, Ryosuke*; Nakayasu, Akio*
Joho Chishitsu, 25(1), p.3 - 20, 2014/00
An expert obtain, handle, and analyze the multi-disciplinary and huge amount of geoscientific data by applying of the technical knowledge obtained through the long experience in the field of a geoscientific investigation, but technical know-how and decision-making processes in the work processes are almost implicit (tacit knowledge). To promote the sharing and inheriting of the knowledge down to the generations, the knowledge has to be externalized in a useful form. In this study, decision processes and technical know-how on an estimation of uplift rate by using a marine terrace have been clarified by the application of a knowledge engineering approach. Investigations and analyses for the estimation of uplift rate are classified into 8 units of task. A sequence of the task from extraction of pre-existing information to calculation of uplift rate has been illustrated as a task flow. The decision processes in each task have been illustrated as a flow diagram of decision-making process. The diagram shows input for a decision-making, decision point conducted the decision-making, and task and output resulting from the decision-making. This externalized tacit knowledge will be integrated into the IT-based expert system through the construction of an IF-THEN rule-base.
Koike, Katsuaki*; Uchiyama, Kyosuke*; Koide, Kaoru
Joho Chishitsu, 23(2), p.68 - 69, 2012/06
Hydrothermally-altered zones frequently collapse in intense rain and are intimately related to genesis of heavy metal mineralization. Therefore it is very important to investigate their distributions from the viewpoints of disaster prevention and mineral resource exploration. This study developed a new vegetation index (VIGS) for detecting abnormalities of vegetation induced by differences in soil chemistry and soil moisture related to hydrothermally-altered zones. The VIGS includes the green and mid-infrared bands, which are highly sensitive to vegetation water stress. To validate its availability, this VI was applied in a landslide prone area (Hachimantai) and a gold deposit area (Hishikari Mine) using Landsat TM data. As a result, it was found that the VIGS is very useful to detect abnormalities of vegetation related with hydrothermally-altered zones because abnormalities of vegetation coincide with landslides and hydrothermally-altered zones associated with gold mineralization.
Abumi, Kensho*; Amano, Kenji; Koike, Katsuaki*; Tsuruta, Tadahiko; Matsuoka, Toshiyuki
Joho Chishitsu, 22(4), p.171 - 188, 2011/12
Fault zones are treated as essential elements for evaluating the underground geological environment and the engineering performance of rocks. Because of the limitations to borehole investigations, it is not always possible to obtain sufficient, high-quality geological data. In addition, the evaluation of results may differ depending on various factors such as geological conditions and skill of the engineer. Such uncertainty can lead to difficulty in evaluation and understanding of the geological environment at depths and in the decision-making and planning of underground construction, which, as a result, may increases potential risks during construction. To reduce the uncertainty, this study proposes a correct selection method of data item for multivariable analyses composed of principal component analysis and clustering method using a deep borehole data. Utilizing this method and the analyses, the rocks could be accurately classified depending upon their geological characteristics.
Noguchi, Yoshifumi*; Iwasaki, Hiroshi*; Kaneko, Katsuhiko*; Koike, Katsuaki*
Joho Chishitsu, 4(2), p.45 - 57, 1993/00
Koyama, Kazutoshi; Yamasaki, Shinichi; Hanai, Tasuku; Tsuruo, Masahiro; Aoki, Kazuhiro; Morishima, Kazuyuki*
Joho Chishitsu, 1986(11), p.157 - 165, 1986/10
