Bulletin of Surveying and Mapping ›› 2024, Vol. 0 ›› Issue (6): 127-133.doi: 10.13474/j.cnki.11-2246.2024.0622

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Pond water quality analysis and visualization design utilizing unmanned aerial vehicle multi-spectral technology

LU Yuting1, DUAN Jinrong1,2   

  1. 1. Wuxi College of Fisheries, Nanjing Agricultural University, Wuxi 214081, China;
    2. Fresh Water Fishery Research Center, Chinese Academy of Fishery Sciences, Wuxi 214801, China
  • Received:2023-11-06 Published:2024-06-27

Abstract: As one of the crucial water resources, pond water quality management is of paramount importance for ecological preservation and the sustainable development of aquaculture. Nonetheless, conventional water quality monitoring methods are constrained by sparse sampling points and periodic measurements,rendering them incapable of delivering real-time, high-resolution water quality information.The aim of this study is to develop a water quality monitoring visualization system utilizing UAV multi-spectral technology.UAVs equipped with multi-spectral sensors are deployed to routinely fly over designated ponds,gather multi-spectral data from water bodies for water quality analysis, and subsequently facilitate water environment data management and efficient real-time water quality inversion through WebGIS technology.This system is designed to provide robust technical support for aquaculture and environmental protection.The findings reveal:①UAV multi-spectral technology can be effectively employed for pond water quality monitoring,facilitating swift responses to water quality fluctuations,thereby enhancing pond aquaculture management efficiency.②Nanquan pond exhibits minimal spatial variations in water quality but distinct temporal fluctuations,with water quality generally being superior from March to April and displaying a tendency to deteriorate from May to August.③It is advisable to intensify pond management during the summer months to mitigate aquaculture-related water quality pollution.This research introduces novel tools and methodologies for water quality management and ecological conservation,with the potential for widespread adoption and demonstration within the aquaculture industry.

Key words: unmanned aerial vehicle, multi-spectral, water quality analysis, visualization

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