Research on estimating state of water quality by Unmanned Surface Vehicle

DOI Web Site
  • KAMIYAMA Juichi
    The Graduate School of Science and Engineering, Kagoshima University
  • TOKUMARU Syunya
    The Graduate School of Science and Engineering, Kagoshima University
  • FUKUMOTO Shinya
    The Graduate School of Science and Engineering, Kagoshima University
  • KASHIMA Masayuki
    The Graduate School of Science and Engineering, Kagoshima University
  • WATANABE Mutsumi
    The Graduate School of Science and Engineering, Kagoshima University
  • KAKINUMA Taro
    The Graduate School of Science and Engineering, Kagoshima University
  • TANEDA Tetsuya
    The Graduate School of Science and Engineering, Kagoshima University

Bibliographic Information

Other Title
  • 水上ドローンによる水質状態推定に関する研究

Description

<p>Recently, drone technology has developed rapidly, expected to play an active part in various fields. Focusing on USV, its usefulness is increasing mainly in the coastal area, such as feeding and red tide damage countermeasures. Survey on turbidity and drifting sand phenomenon is important. Used for water quality control and beach erosion detection. Traditional methods of turbidity and drifting sand phenomenon are expensive and time-consuming. Furthermore, the beach topography changes frequently due to typhoons, etc. It is necessary to improve the efficiency of wide-area surveys. This paper proposes new water turbidity and drifting sand estimation method of coastal area using USV. Estimate turbidity by comparing underwater images of a reference point and an observation point. In addition, by separating the movement of the wave and the movement of the density, the direction and speed are calculated, and the littoral-drift estimation is performed. Experimental results have shown the effective of the underwater images area division, and temporal change of brightness.</p>

Journal

Keywords

Details 詳細情報について

Report a problem

Back to top