Ocean Prediction for Aquaculture: An Interview-based system

• Nakada Satoshi

  Institute for Liberal Arts and Sciences, Kyoto University Graduate School of Maritime Sciences, Kobe University

• Ishikawa Yoichi

  Data Research Center for Marine-Earth Sciences, Japan Agency for Marine-Earth Science and Technology

• Koyamada Koji

  Institute for Liberal Arts and Sciences, Kyoto University

• Awaji Toshiyuki

  Headquarters, Kyoto University

• Saitoh Sei-Ichi

  Faculty of Fisheries Sciences, Hokkaido University

抄録

Interviews with scallop aquaculturists were conducted using the Grid Evaluation Method to evaluate the information most valuable to them. The interviews suggested that low-salinity nearshore water, which can increase the mortality of cultured scallop in the nursery stage, is a major concern in spring. Here, we show that a coupled land–ocean, high-resolution model predicted springtime maps of the low-salinity nearshore water and its interannual variations in the specific enclosed bay with aquafarms. The proposed visualization for simultaneous display of low-salinity water, snow cover, and river runoff may be preferable to provide helpful information. The predicted salinity around aquafarms can provide essential information to help reduce mortal risks.

収録刊行物

• 日本シミュレーション学会英文誌

  日本シミュレーション学会英文誌 1 (1), 111-126, 2014

  一般社団法人 日本シミュレーション学会

キーワード

• Real-time prediction
• Coupled land–ocean simulation and visualization
• Evaluation Grid Method
• Funka Bay
• Aquaculture
• Scallop
• Low-salinity nearshore water

詳細情報

• CRID: 1390282680732872576
• NII論文ID: 130004709197
• DOI: 10.15748/jasse.1.111
• ISSN: 21885303
• Web Site: https://www.jstage.jst.go.jp/article/jasse/1/1/1_111/_pdf
• 本文言語コード: en
• データソース種別:
  • JaLC
  • Crossref
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可