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Inoue, Junya; Masumoto, Kiyoshi*
Doboku Gakkai Rombunshu, A2 (Oyo Rikigaku) (Internet), 74(2), p.I_55 - I_64, 2019/01
Saturated-unsaturated flow inversion program with adjoint method and least norm method was made to estimate saturated hydraulic conductivity and boundary conditions for multi-layers heterogeneous aquifer model. Vertical two dimensional numerical experiments assuming inclined ground consisting of three layers with different permeability were carried out using this program. Some inversion were carried out by changing the coefficient of least norm term to investigate the strength of constraints on the un-known parameters based on the reference value. The result show that it is possible to estimate the unique value of saturated hydraulic conductivity and boundary conditions for multi-layers heterogeneous aquifer model by the method.
Onoe, Hironori; Yamamoto, Shinya*; Kohashi, Akio; Ozaki, Yusuke; Sakurai, Hideyuki*; Masumoto, Kiyoshi*
JAEA-Research 2018-003, 84 Pages, 2018/06
In this study, numerical experiments considered hydrogeological structures, which has high heterogeneity around the Mizunami Underground Research Laboratory and inverse analysis using in-situ data were carried out. The results showed that concentration of hydrogeological structure to be estimated and location of monitoring point is important for application of inverse analysis. Furthermore, it is concluded that inverse analysis using hydraulic response due to pumping test is effective for hydrogeological characterization.
Kohashi, Akio; Onoe, Hironori; Yamamoto, Shinya*; Honda, Makoto*; Sakurai, Hideyuki*; Masumoto, Kiyoshi*
JAEA-Research 2015-022, 89 Pages, 2016/03
In Japan, high-level radioactive waste (HLW) will be emplaced in a stable host rock formation deeper than 300 meters underground for geological disposal. It is important to understand heterogeneous distribution of hydraulic conductivity from the viewpoints of the safety assessment of geological disposal of HLW and construction of underground facilities. Inverse analysis based on the transient data is an efficient technique for estimating the heterogeneous distribution. In this study, numerical experiments with the adjoint state method and the ensemble Kalman filter were carried out in order to understand effective method for application of these inverse analysis. As a result of this study, the capability of each analysis techniques was shown.
Takeuchi, Ryuji; Kitagawa, Ayumi*; Masumoto, Kiyoshi*
no journal, ,
It is necessary to give appropriate parameters to construct a groundwater flow model. Inversion analysis is one of the effectivity method for hydrogeological characteristics. However inversion analysis for hydrogeological characteristics has few examples using in-situ data. This paper shows a study of unknown parameter settings using inversion analysis based on the in-situ data.
Onoe, Hironori; Takeuchi, Ryuji; Saegusa, Hiromitsu; Masumoto, Kiyoshi*
no journal, ,
Groundwater inverse modeling based on data of pumping test is an efficient technique for estimating heterogeneity hydrogeological characteristics of deep geological environment in fractured crystalline rock. In this study, numerical experiment carried out in order to understand effective application method of groundwater inverse modeling for in-situ investigation.
Suemitsu, Akinobu*; Masumoto, Kiyoshi*; Onoe, Hironori; Takeuchi, Ryuji
no journal, ,
no abstracts in English
Masumoto, Kiyoshi*; Onoe, Hironori; Kohashi, Akio; Yamamoto, Shinya*
no journal, ,
no abstracts in English
Yamamoto, Shinya*; Honda, Makoto*; Sakurai, Hideyuki*; Onoe, Hironori; Masumoto, Kiyoshi*
no journal, ,
no abstracts in English
Onoe, Hironori; Yamamoto, Shinya*; Masumoto, Kiyoshi*; Kohashi, Akio; Saegusa, Hiromitsu
no journal, ,
no abstracts in English
Yamamoto, Shinya*; Honda, Makoto*; Sakurai, Hideyuki*; Onoe, Hironori; Masumoto, Kiyoshi*
no journal, ,
no abstracts in English
Kohashi, Akio; Onoe, Hironori; Yamamoto, Shinya*; Honda, Makoto*; Sakurai, Hideyuki*; Masumoto, Kiyoshi*
no journal, ,
no abstracts in English
Ozaki, Yusuke; Kohashi, Akio; Onoe, Hironori; Yamamoto, Shinya*; Masumoto, Kiyoshi*
no journal, ,
The objective of this study is verification of feasibility to estimate hydraulic conductivity with inversion method of water head data in fault zone. Hydraulic conductivity in a fault zone is focused on as a target of inversion because the fault would significantly affect a water head field. A series of numerical test with synthetic model is performed under the condition that the number of fault to estimate hydraulic conductivity and the degree of freedom of hydraulic conductivity distribution in a fault zone is different. The information of hydraulic conductivity outside the faults and location of fault is given to the inversion a priori. Our inversion results shows that the accuracy of estimation is improved by constrain to the number of fault to estimate the hydraulic conductivity and freedom of hydraulic conductivity distribution in a fault. In addition, the number of fault to estimate the hydraulic conductivity should be limited for the certain estimation of hydraulic conductivity in all faults.
Suemitsu, Akinobu*; Masumoto, Kiyoshi*; Onoe, Hironori
no journal, ,
no abstracts in English
Yamamoto, Shinya*; Sakurai, Hideyuki*; Onoe, Hironori; Masumoto, Kiyoshi*
no journal, ,
no abstracts in English
Ozaki, Yusuke; Kohashi, Akio; Onoe, Hironori; Yamamoto, Shinya*; Sakurai, Hideyuki*; Masumoto, Kiyoshi*
no journal, ,
no abstracts in English
Yamamoto, Shinya*; Sakurai, Hideyuki*; Onoe, Hironori; Masumoto, Kiyoshi*
no journal, ,
The result of groundwater flow simulation includes the epistemic uncertainty due to the limited hydrogeological data available. Ensemble-based data assimilation scheme can reduce the uncertainty. Additionally, the analysis result of the data assimilation gives useful information for the layout design of the groundwater monitoring. We showed that the layouts determined by the ensemble of the assimilated results in the synthetic experiments are effective in reducing the uncertainty of hydrogeological model.
Inoue, Junya; Masumoto, Kiyoshi*
no journal, ,
no abstracts in English
Inoue, Junya; Masumoto, Kiyoshi*
no journal, ,
no abstracts in English
Masumoto, Kiyoshi*; Inoue, Junya
no journal, ,
no abstracts in English
Inoue, Junya; Kawano, Ryota; Ohara, Yoshiyuki; Tomiyama, Shingo*; Masumoto, Kiyoshi*
no journal, ,
no abstracts in English