Title :
Method of Monitoring Surface Water Quality Based on Remote Sensing in Miyun Reservoir
Author :
Zhang, Xiwang ; Qin, Fen ; Liu, Jianfeng
Author_Institution :
Inst. of Remote Sensing Applic., Chinese Acad. of Sci., Beijing, China
Abstract :
Excessive growth of algae can be considered as a symptom of eutrophication, which is caused by overloading nutrients and results in significant daily dissolved oxygen variation and even an unbalanced ecosystem. It is very important to monitor the surface water quality and track their changes. The objective of this study is to monitor the surface water quality of Miyun reservoir using remote sensing method based on the empirical correlation between the water quality parameters and band combinations of image. It is discovered that the band 3 and 4 are very important, and the ratio of band 4 to 3 is well relative with chlorophyll-a concentration, and a combination of band 2, 3 and 4 is well relative with total nitrogen concentration. Then the empirical correlation model is applied to the whole surface water of Miyun reservoir. As a result, the chlorophyll-a concentration and total nitrogen concentration decrease from the northeast to southwest, clearly illustrating the eutrophication state of Miyun reservoir. The study proved that the remote sensing monitoring method with a large-scale, dynamic and low-cost advantage is very potential for monitoring lake surface water quality.
Keywords :
ecology; environmental factors; hydrological techniques; nitrogen; oxygen; remote sensing; rivers; water quality; Miyun reservoir; N; O; dissolved oxygen variation; ecosystem imbalance; empirical correlation; eutrophication symptom; excessive algae growth; image band combinations; nutrient overloading; remote sensing; surface water quality monitoring method; total nitrogen concentration; water quality parameters; Data mining; Lakes; Large-scale systems; Nitrogen; Remote monitoring; Remote sensing; Reservoirs; Satellites; Water pollution; Water resources;
Conference_Titel :
Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2901-1
Electronic_ISBN :
978-1-4244-2902-8
DOI :
10.1109/ICBBE.2009.5163046