Development of a novel redox sensor for sediment dynamics in coastal areas

2023 Fiscal Year Final Research Report

• Project/Area Number: 22K14330
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 22040:Hydroengineering-related
• Research Institution: Hiroshima University
• Principal Investigator: Kim Kyeongmin 広島大学, 先進理工系科学研究科(工), 特任助教 (40943650)
• Project Period (FY): 2022-04-01 – 2024-03-31
• Keywords: 水質計測センサー / 燃料電池型センサー / 水質予測システム

Outline of Final Research Achievements

This study aims to develop a sensor that utilizes the electrochemical properties of seawater and sediments as a novel method to understand the dynamics of seafloor sediments. During the research period, the study was divided into several phases: basic research to elucidate the electrochemical properties of seawater and sediments, development of sensors targeting seawater (water quality), development of sensors targeting sediments, and development of technology to predict water quality and sediment dynamics using sensors with applied machine learning. By leveraging the characteristics of dissolved oxygen concentration detected by potential, we successfully demonstrated the continuous and long-term measurement of water quality in coastal areas where the annual water quality environment changes significantly. Based on the potential results measured continuously for about 8 months, we elucidated the mechanism of the occurrence and dissolution of hypoxic water masses in the bottom layer.

Free Research Field

環境工学

Academic Significance and Societal Importance of the Research Achievements

例えば港湾施設においては、本センサーの活用によりこれまで連続的な計測手法の不在でできなかった台風などのイベント現象発生直後の地形変化を素早く把握するのに活用できる。さらに、本センサーと機械学習を応用したシスの隙間から約一週間後の貧酸素水塊および巻き上げの発生を予測することが可能であり、漁業および養殖業の被害を最小化するのに活用可能である。