ESTIMATION OF FINE SEDIMENT TRANSPORT USING FLUORESCENT X RAY AND NITROGEN CYCLE USING STABLE ISOTOPE

• NAKAYAMA Keisuke

  神戸大学 工学研究科市民工学専攻

• KOMAI Katsuaki

  北見工業大学 工学部社会環境工学科

• MARUYA Yasuyuki

  岐阜大学 流域圏科学研究センター

• MATSUMOTO Kei

  北見工業大学 工学部社会環境工学科

• SAKAGUCHI Shino

  神戸大学工学部 市民工学科

• KUWAE Tomohiro

  港湾空港技術研究所 沿岸環境研究グループ

Bibliographic Information

Other Title

• 蛍光X線分析を利用した細粒土砂の輸送割合と安定同位体比による窒素循環量の推定
• ケイコウ Xセン ブンセキ オ リヨウ シタ サイリュウ ドシャ ノ ユソウ ワリアイ ト アンテイ ドウイタイヒ ニ ヨル チッソ ジュンカンリョウ ノ スイテイ

Abstract

 Nutient is transported from a natural river basin to the ocean as particulate organic matters. On the other hand, nutrient is restored from the ocean to a river basin through run-up salmon that was captured by bears and eagles. Although there are some methods to evaluate mass transport, it is necessary to develop a new method for estimating mass transport from a river basin to the ocean accurately. This study thus aims to evaluate mass transport and nutrient restration between a river basin and the ocean. The Bayesian method was applied into the multiple regression analysis by using the fluorescent X ray analysis. As a result, it is demonstated that the proposed method was applied for evaluating fine sediment transport successfully by making comparisons with the other method, a neural network method.

Journal

• Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering)

  Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering) 73 (4), I_1177-I_1182, 2017

  Japan Society of Civil Engineers

Keywords

• stable isotope analysis
• fluorescent X-ray analysis
• neural network analysis
• nitrogen
• nutrient cycle
• bayesian theory

Details

• CRID: 1390001205351866752
• NII Article ID: 40021164328
• NII Article ID: 130006406091
• NII Book ID: AN10426673
• ISSN: 18808751
• ISSN: 2185467X
• ISSN: 09167374
• DOI: 10.2208/jscejhe.73.i_1177
• NDL BIB ID: 028112996
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I028112996
• Web Site: https://www.jstage.jst.go.jp/article/jscejhe/73/4/73_I_1177/_pdf
• Text Lang: ja
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed