IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v37y2023i2d10.1007_s11269-022-03412-w.html
   My bibliography  Save this article

Fingerprinting Sources of Fine-grained Sediment Deposited in a Riverine System by GLUE

Author

Listed:
  • Seyed Masoud Soleimanpour

    (Soil Conservation and Watershed Management Research Department, Fars Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO))

  • Hamid Gholami

    (University of Hormozgan)

  • Omid Rahmati

    (Kurdistan Agricultural and Natural Resources Research and Education Center)

  • Samad Shadfar

    (Soil Conservation and Watershed Management Research Institute)

Abstract

Identifying sediment provenance in the catchments is essential to the mitigation of sediments' negative effects. This study is the first attempt to quantify the uncertainty associated with contributions supplied by four individual sediment sources (e.g., gully erosion, sheet erosion, rill erosion, and channel bank) by the Generalized Likelihood Uncertainty Estimation (GLUE) with two statistical processes consisting of BRT-KW-DFA (Basic Range Test – Kruskal–Wallis—Discriminant Function Analysis), and RTM-KW-DFA (Range Test based on the Mean—Kruskal–Wallis—Discriminant Function Analysis). Then, the GLUE performance was validated by Virtual Sediment Mixtures (VSMs) samples. A total of 60 samples consisting of 20 samples from the materials deposited in the river bed and 40 source samples were collected from the individual sources consisting of rill erosion (n = 10), sheet erosion (n = 10), gully erosion (n = 10), and channel bank (n = 10). The samples were analyzed for 52 geochemical elements. The performance of GLUE with the final tracers was selected by two statistical combinations consisting of BRT-KW-DFA, and RTM-KW-DFA assessed by the statistical criteria and VSMs. Based on the results, the contributions modeled by GLUE with RTM-KW-DFA statistical process (with a mean value for the MAF (Mean Absolute Fit) = 89; GOF (Goodness Of Fit) = 98; MAE (Mean Absolute Error) = 16, and RMSE (Root Mean Square Error) = 19) are more accurate than the GLUE with BRT-KW-DFA (with a mean value for the MAF = 85; GOF = 97; MAE = 19; and RMSE = 23). Overall, the Sediment Source Fingerprinting (SSF) within the GLUE framework is a useful tool for identifying the sediment source in a wide range of catchments.

Suggested Citation

  • Seyed Masoud Soleimanpour & Hamid Gholami & Omid Rahmati & Samad Shadfar, 2023. "Fingerprinting Sources of Fine-grained Sediment Deposited in a Riverine System by GLUE," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(2), pages 899-913, January.
    • Handle: RePEc:spr:waterr:v:37:y:2023:i:2:d:10.1007_s11269-022-03412-w
    DOI: 10.1007/s11269-022-03412-w
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11269-022-03412-w
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11269-022-03412-w?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ivan Lizaga & Borja Latorre & Leticia Gaspar & Ana Navas, 2020. "FingerPro: an R Package for Tracking the Provenance of Sediment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(12), pages 3879-3894, September.
    2. Fei Guo & Jingjia Zhang & A-xing Zhu & Zhuo Zhang & Hong Zhang, 2021. "An Assimilation Simulation Approach for the Suspended Sediment Concentration in Inland Lakes Using a Hybrid Perturbation Generation Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(6), pages 2007-2022, April.
    Full references (including those not matched with items on IDEAS)

    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. Yi Tang & Yang Pan & Lei Zhang & Hongchen Yi & Yiping Gu & Weihao Sun, 2023. "Efficient Monitoring of Total Suspended Matter in Urban Water Based on UAV Multi-spectral Images," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(5), pages 2143-2160, March.

    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:spr:waterr:v:37:y:2023:i:2:d:10.1007_s11269-022-03412-w. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.