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

被引:16
作者
Lai, Yuequn [1 ,2 ,3 ,4 ]
Zhang, Jing [1 ,2 ,3 ,4 ]
Song, Yongyu [1 ,2 ,3 ,4 ]
Gong, Zhaoning [2 ,3 ,4 ]
机构
[1] Capital Normal Univ, Beijing Key Lab Resource Environm & Geog Informat, Beijing 100048, Peoples R China
[2] Capital Normal Univ, Key Lab 3D Informat Acquisit & Applicat, Minist Educ, Beijing 100048, Peoples R China
[3] Beijing Lab Water Resources Secur, Beijing 100048, Peoples R China
[4] MOE, Key Lab Mech Prevent & Mitigat Land Subsidence, Beijing 100048, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
chlorophyll-a; stepwise regression model; remote sensing technique; nutritional status evaluation; COASTAL WATERS; LAKE; MODEL; ALGORITHM; TANGIER; INLAND; INDEX;
D O I
10.3390/ijerph18094419
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页数:18
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