Retrieval and Evaluation of Chlorophyll-a Concentration in Reservoirs with Main Water Supply Function in Beijing, China, Based on Landsat Satellite Images

• Published in: International journal of environmental research and public health Vol. 18; no. 9; p. 4419
• Main Authors: Lai, Yuequn, Zhang, Jing, Song, Yongyu, Gong, Zhaoning
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 21-04-2021; MDPI
• Subjects: Chemical oxygen demand; Chlorophyll; Drinking water; Eutrophication; Floods; Global positioning systems; GPS; Landsat; Pesticides; Phosphorus; Pollution; Remote sensing; Reservoirs; Satellite imagery; Satellites; Shelf life; Software; Water area; Water quality; Water shortages; Water storage; Water supply; Beijing China; China; Taihu Lake; chlorophyll-a; remote sensing technique; nutritional status evaluation; stepwise regression model
• ISSN: 1660-4601; 1661-7827; 1660-4601
• DOI: 10.3390/ijerph18094419

Remote sensing retrieval is an important technology for studying water eutrophication. In this study, Guanting Reservoir with the main water supply function of Beijing was selected as the research object. Based on the measured data in 2016, 2017, and 2019, and Landsat-8 remote sensing images, the concentration and distribution of chlorophyll-a in the Guanting Reservoir were inversed. We analyzed the changes in chlorophyll-a concentration of the reservoir in Beijing and the reasons and effects. Although the concentration of chlorophyll-a in the Guanting Reservoir decreased gradually, it may still increase. The amount and stability of water storage, chlorophyll-a concentration of the supply water, and nitrogen and phosphorus concentration change are important factors affecting the chlorophyll-a concentration of the reservoir. We also found a strong correlation between the pixel values of adjacent reservoirs in the same image, so the chlorophyll-a estimation model can be applied to each other.