Method of monitoring surface water quality based on remote sensing in Miyun reservoir
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.
Remote sensing Landsat 7 ETM+ Water quality Eutrophication
Xiwang Zhang Fen Qin Jianfeng Liu
Institute of Remote sensing applications,Chinese Academy of Sciences,Beijing,P.R.China College of En College of Environment & Planning,Henan University,Kaifeng,P.R.China Yellow River Conservancy Technical Institute,Kaifeng,P.R.China
国际会议
北京
英文
1-4
2009-06-11（万方平台首次上网日期，不代表论文的发表时间）