Evaluation of Eutrophication in Jiaozhou Bay via Water Color Parameters Determination with UAV-Borne Hyperspectral Imagery

• Published in: Atmosphere 2023-02, Vol.14 (2), p.387
• Main Authors: Pan, Xin, Wang, Zhangjun, Ullah, Habib, Chen, Chao, Wang, Xiufen, Li, Xianxin, Li, Hui, Zhuang, Quanfeng, Xue, Boyang, Yu, Yang
• Format: Article
• Language: English
• Subjects: Airborne remote sensing; Airborne sensing; Aquaculture; Autonomous underwater vehicles; Bay water; Bay water quality; Body measurements; Chemical analysis; Chlorophyll; Chlorophyll a; Coastal waters; Coasts; Distribution; Drone aircraft; Emissions; Environmental aspects; Environmental degradation; Eutrophication; Food; Greenhouse gases; Hyperspectral imaging; hyperspectral inversion model; Marine aquaculture; Mathematical models; Modelling; Offshore; Offshore aquaculture; optical properties; Parameter sensitivity; Parameters; Particles; Particulate emissions; Particulate matter; Pollution monitoring; Polyculture (aquaculture); Radiation; Red tide; Red tides; Remote sensing; Rivers; Seafood; Seawater; Sensing techniques; Spectrum analysis; Suspended matter; Suspended particulate matter; Sustainable development; total suspended matter; Unmanned aerial vehicles; Water analysis; Water bodies; Water color; Water colour; Water quality
• ISSN: 2073-4433; 2073-4433
• DOI: 10.3390/atmos14020387

The continued increase in greenhouse gas emissions as a result of unprecedented eutrophication has resulted in a rising trend of red tides in the sea, which may be responsible for ecological degradation in the surrounding environment. Studies rarely investigate the accurate concentration of seawater eutrophication substances in offshore aquaculture areas, which may lead to the exacerbated pollution of inshore aquaculture. We examined whether offshore seawater quality monitoring can be effectively performed through unmanned aerial vehicles’ (UAVs) airborne hyperspectral remote sensing technique at Jiaozhou Bay, a water body associated with eutrophication. We used the UAV airborne hyperspectral imager to detect and measure typical marine aquaculture areas in Jiaozhou Bay and selected the key parameters of seawater quality, chlorophyll-a (Chl-a) concentrations, and total suspended matter (TSM) concentrations as indicators of seawater eutrophication. The hyperspectral inversion model of the Jiaozhou Bay seawater (JZBZ) was established with the optimal sensitive band of parameters. Results showed that in comparison with the traditional inversion model, the inversion R2 of the Chl-a was 0.712, the RPD was 3.72, and the inversion R2 of the TSM concentration was 0.756 while the RPD was 5.83. We found that this model is more suitable for the retrieval of water color parameters in Jiaozhou Bay. Additionally, by actual measurement, it can be seen that the concentration ranges of Chl-a in the observation area are 0.380–1.74 mg/m3, and the concentration range of TSM is 12.6–131 mg/L. The results of this study indicate that the Jiaozhou Bay Water Quality Translation Model (JZBM), based on the UAV airborne hyperspectral imager, performs well in the inversion of the concentration of chlorophyll and suspended particulate matter in offshore water, which advances our understanding with a new method to assess the degree of eutrophication in coastal waters.