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基于 Landsat 卫星图像的中国北京主要供水水库叶绿素-a 浓度的提取与评价。

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

机构信息

Beijing Key Laboratory of Resource Environment and Geographic Information System, Capital Normal University, Beijing 100048, China.

Key Laboratory of 3D Information Acquisition and Application of Ministry of Education, Capital Normal University, Beijing 100048, China.

出版信息

Int J Environ Res Public Health. 2021 Apr 21;18(9):4419. doi: 10.3390/ijerph18094419.

Abstract

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.

摘要

遥感反演是研究水体富营养化的重要技术。本研究选取北京市主要供水功能的官厅水库为研究对象,基于 2016、2017 和 2019 年实测数据和 Landsat-8 遥感影像,反演了官厅水库叶绿素 a 浓度及其分布,分析了北京官厅水库叶绿素 a 浓度的变化及其原因和影响。尽管官厅水库叶绿素 a 浓度呈逐渐降低趋势,但仍可能上升。水量和稳定性、供水的叶绿素 a 浓度以及氮磷浓度变化是影响水库叶绿素 a 浓度的重要因素。我们还发现同一幅图像中相邻水库的像素值之间存在很强的相关性,因此可以将叶绿素 a 估算模型相互应用。

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