Sentinel-2 Observation of Water Color Variations in Inland Water across Guangzhou and Shenzhen after the Establishment of the Guangdong-Hong Kong-Macao Bay Area

• DOI: 10.3390/app13159039
• Publication Date: 2023-08-08T16:45:53Z
• Authors: Yelong Zhao; Jinsong Chen; Xiaoli Li
• Keywords: Technology; QH301-705.5; T; Physics; QC1-999; 15. Life on land; Engineering (General). Civil engineering (General); water quality; 01 natural sciences; 6. Clean water; Forel–Ule Index; Chemistry; Forel–Ule Index; Sentinel-2; spatial-temporal variation; lakes and reservoirs; water quality; lakes and reservoirs; 13. Climate action; 11. Sustainability; spatial-temporal variation; Sentinel-2; TA1-2040; Biology (General); QD1-999; 0105 earth and related environmental sciences

Guangzhou and Shenzhen are two core cities in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA). It is increasingly important to regulate water quality in urban development. The Forel–Ule Index (FUI) can be obtained by optical data and is an important indicator. Therefore, we used Sentinel-2 to calculate the FUI of 41 lakes and reservoirs in Guangzhou and Shenzhen from January to December in 2016–2021, and analyzed their spatio-temporal variations, including spatial distributions, seasonal variations, and inter-annual variations. We also performed a correlation analysis of driving factors. In Guangzhou, the FUI was low in the north and west, and high in the south and east. In Shenzhen, the FUI was high in the west and low in the east. Moreover, 68% of the lakes and reservoirs in Guangzhou exhibited seasonal variations, with a low FUI in summer and autumn, and high levels in spring and winter. Shenzhen had the lowest FUI in autumn. Furthermore, 36% of the lakes and reservoirs in Guangzhou exhibited increasing inter-annual variations, whereas Shenzhen exhibited stable and decreasing inter-annual variations. Among the 41 lakes and reservoirs analyzed herein, the FUI of 10 water areas were positively correlated with precipitation, while the FUI of 31 water areas were negatively correlated with precipitation. Increased precipitation leads to an increase in external pollutants and sediment, as well as the resuspension of substances in the water, resulting in more turbid water. Therefore, an increase in precipitation is positively correlated with the FUI, whereas a decrease in precipitation is negatively correlated with the FUI. These findings can be used to design suitable management policies to maintain and control the local water quality.