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Journal Articles

Classification of water level fluctuation data in wells using linear regression models and genetic algorithm

Wakamatsu, Naonori*; Watanabe, Kunio*; Takeuchi, Shinji; Saegusa, Hiromitsu

Oyo Chishitsu, 49(3), p.126 - 138, 2008/08

https://doi.org/10.5110/jjseg.49.126

A method to evaluate similarities of water level fluctuation between wells is proposed. Linear regression models with independent variable for meteorological condition such as rainfall and atmospheric pressure etc. are developed, and well similarity is estimated from model parameters (regression coefficients and model fitness) calculated by Genetic Algorism. The method was applied to the twelve wells in Tono area, central Japan. Although groundwater level fluctuation is primarily affected by rainfall and pumping conditions, different geological conditions would cause different types of water level response to the factors. Models using preceding rainfalls and atmospheric pressure and models using water level in other wells suggested that water level fluctuation data of the wells are classified into groups which reflect difference in pressure propagation for rain infiltration among the geological units.

JAEA Reports

Development of safety assessment method under uncertainty for Horonobe URL project (Contract research)

Takase, Hiroyasu*; Inagaki, Manabu*; Noguchi, Toshihide*; Shimaoka, Akiko*; Martin, A. J.*; Wakamatsu, Hisanori*; Takase, Kyoko*; Tabara, Michiko*; Matsui, Hiroya

JAEA-Research 2007-066, 215 Pages, 2007/08

JAEA-Research-2007-066-01.pdf:43.05MB
JAEA-Research-2007-066-02.pdf:58.73MB
JAEA-Research-2007-066-03.pdf:13.08MB

In this study a systematic approach to explicitly address type and size of uncertainties associated with safety assessment due mainly to incomplete knowledge on a spatially heterogeneous geological environment was developed. In this approach a wide range of model variations including the ones with relatively law plausibility are taken into account so that ambiguity remaining in the knowledge is illustrated, which is a distinctive feature of the approach compared with the conventional methodology where only a limited number of best plausible model variations are considered. The study also proposed an approach to assessing plausibility of each model variation based on multiple pieces of evidence by using evidential support logic (ESL). Furthermore the approach was applied to Horonobe area to demonstrate its applicability to the similar class of geological environment as an example.

JAEA Reports

Mass Transport Analysis under Uncertainty and Planning of In-situ Experiments for Horonobe URL Project

Takase, Hiroyasu*; Noguchi, Toshihide*; Wakamatsu, Hisanori*; Martin, A. J.*; Yamada, Kazuhiro*; Takase, Kyoko*; Tabara, Michiko*

JNC TJ5400 2005-001, 200 Pages, 2005/03

JNC-TJ5400-2005-001.pdf:57.24MB

In the Horonobe deep geological formation research plan, in order to improve confidence in disposal technology and safety assessment methods, research is being done connected with disposal technology and safty assessment. This research concerns the geological environmental acquired during investigations from the surface to the deep sub-surface and the geological model constructed using these data.Inthe current study groundwater flow and mass transport analysis have been conducted taking into account uncertainties associated with the coceptual model for geological environment in Horonobe area that was constructed by using data acquired during the investigation from ground surface. In addition a number of scoping calculations were made to support planning of the in-situ experiments.

JAEA Reports

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