Ocean Prediction for Aquaculture: An Interview-based system

  • Nakada S
  • Ishikawa Y
  • Koyamada K
  • et al.
N/ACitations
Citations of this article
7Readers
Mendeley users who have this article in their library.

Abstract

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.

Cite

CITATION STYLE

APA

Nakada, S., Ishikawa, Y., Koyamada, K., Awaji, T., & Saitoh, S.-I. (2014). Ocean Prediction for Aquaculture: An Interview-based system. Journal of Advanced Simulation in Science and Engineering, 1(1), 111–126. https://doi.org/10.15748/jasse.1.111

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free