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

Author

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  • Yuequn Lai

    (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
    Beijing Laboratory of Water Resources Security, Beijing 100048, China
    Key Laboratory of Mechanism, Prevention and Mitigation of Land Subsidence, MOE, Beijing 100048, China)

  • Jing Zhang

    (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
    Beijing Laboratory of Water Resources Security, Beijing 100048, China
    Key Laboratory of Mechanism, Prevention and Mitigation of Land Subsidence, MOE, Beijing 100048, China)

  • Yongyu Song

    (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
    Beijing Laboratory of Water Resources Security, Beijing 100048, China
    Key Laboratory of Mechanism, Prevention and Mitigation of Land Subsidence, MOE, Beijing 100048, China)

  • Zhaoning Gong

    (Key Laboratory of 3D Information Acquisition and Application of Ministry of Education, Capital Normal University, Beijing 100048, China
    Beijing Laboratory of Water Resources Security, Beijing 100048, China
    Key Laboratory of Mechanism, Prevention and Mitigation of Land Subsidence, MOE, Beijing 100048, China)

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.

Suggested Citation

  • Yuequn Lai & Jing Zhang & Yongyu Song & Zhaoning Gong, 2021. "Retrieval and Evaluation of Chlorophyll-a Concentration in Reservoirs with Main Water Supply Function in Beijing, China, Based on Landsat Satellite Images," IJERPH, MDPI, vol. 18(9), pages 1-18, April.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:9:p:4419-:d:540615
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    References listed on IDEAS

    as
    1. Zhu, Jianxin & Huang, Haocai & Lin, Honghong & Lei, Xiaojie & Zheng, Ruizhong, 2021. "Efficient estimation of chlorophyll a concentration in artificial upwelling," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 185(C), pages 660-675.
    2. Yang, Jing & Strokal, Maryna & Kroeze, Carolien & Wang, Mengru & Wang, Jingfei & Wu, Yihong & Bai, Zhaohai & Ma, Lin, 2019. "Nutrient losses to surface waters in Hai He basin: A case study of Guanting reservoir and Baiyangdian lake," Agricultural Water Management, Elsevier, vol. 213(C), pages 62-75.
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    Cited by:

    1. Haobin Meng & Jing Zhang & Zhen Zheng, 2022. "Retrieving Inland Reservoir Water Quality Parameters Using Landsat 8-9 OLI and Sentinel-2 MSI Sensors with Empirical Multivariate Regression," IJERPH, MDPI, vol. 19(13), pages 1-26, June.

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