IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i9p4419-d540615.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/9/4419/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/18/9/4419/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lei Zhao & Wenbin Pan & Hao Lin, 2022. "Can Fujian Achieve Carbon Peak and Pollutant Reduction Targets before 2030? Case Study of 3E System in Southeastern China Based on System Dynamics," Sustainability, MDPI, vol. 14(18), pages 1-22, September.
    2. Meng, Shiting & Huang, Qingxu & Zhang, Ling & He, Chunyang & Inostroza, Luis & Bai, Yansong & Yin, Dan, 2020. "Matches and mismatches between the supply of and demand for cultural ecosystem services in rapidly urbanizing watersheds: A case study in the Guanting Reservoir basin, China," Ecosystem Services, Elsevier, vol. 45(C).
    3. Safa Baccour & Gerwin Goelema & Taher Kahil & Jose Albiac & Michelle T. H. Vliet & Xueqin Zhu & Maryna Strokal, 2024. "Water quality management could halve future water scarcity cost-effectively in the Pearl River Basin," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    4. Li, Xiaolin & Janssen, Annette B.G. & Strokal, Maryna & Kroeze, Carolien & Ma, Lin & Zhang, Yi & Zheng, Yi, 2023. "Assessing nitrogen sources in Lake Erhai: A spatially explicit modelling approach," Agricultural Water Management, Elsevier, vol. 289(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:18:y:2021:i:9:p:4419-:d:540615. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.