- 【Updated on May 12, 2025】 Integration of CiNii Dissertations and CiNii Books into CiNii Research
- Trial version of CiNii Research Automatic Translation feature is available on CiNii Labs
- Suspension and deletion of data provided by Nikkei BP
- Regarding the recording of “Research Data” and “Evidence Data”
Multivariate analysis of deep groundwater chemistry by means of PCA/ICA
-
- Yoshida Kenta
- Japan Agency for Marine-earth Science and Technology
-
- Kuwatani Tatsu
- Japan Agency for Marine-earth Science and Technology
-
- Nakamura Hitomi
- Japan Agency for Marine-earth Science and Technology
-
- Haraguchi Satoru
- Japan Agency for Marine-earth Science and Technology
-
- Kazahaya Kohei
- National Institute of Advanced Industrial, Science and Technology
-
- Takahashi Masaaki
- National Institute of Advanced Industrial, Science and Technology
-
- Iwamori Hikaru
- Japan Agency for Marine-earth Science and Technology
Bibliographic Information
- Other Title
-
- PCA/ICAによる深層地下水データベースの多変量解析
Description
The multivariate analysis of deep groundwater database has been performed to detect a chemical characteristics of deep-origin fluid. Since chemical composition of groundwater was determined in 10 or more dimensions, multivariate analysis such as principal component analysis (PCA) and independent component analysis (ICA) can be effective. In this paper, we provide the results of PCA/ICA and discuss characteristics of two analysis.
Journal
-
- Abstracts for Annual Meeting of Japan Association of Mineralogical Sciences
-
Abstracts for Annual Meeting of Japan Association of Mineralogical Sciences 2016 (0), 29-, 2016
Japan Association of Mineralogical Sciences
- Tweet
Keywords
Details 詳細情報について
-
- CRID
- 1390002184862855936
-
- NII Article ID
- 130007785575
-
- Text Lang
- ja
-
- Data Source
-
- JaLC
- CiNii Articles
-
- Abstract License Flag
- Disallowed
