IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v28y2014i10p3255-3269.html
   My bibliography  Save this article

Monitoring Turbid Plume Behavior from Landsat Imagery

Author

Listed:
  • R. Fernandez
  • M. Bonansea
  • M. Marques

Abstract

A simple model based on available Landsat imagery data was used in order to characterize the dynamics of a rainstorm-induced turbid plume into a semi-arid, medium-sized reservoir. Additionally, a set of empirical expressions based on mouth river conditions was employed to estimate the spatial extent of the turbid plume, as well as the influence of the wind on the spreading and resuspension of sediment. This predicted plume behavior was then confirmed by the imagery data. Overall, the main contribution of the paper is a unified procedure of different approaches that can be applied to forecast turbidity effects during muddy inflow events in aquatic systems where minor field-measured information is available. The approach may be also considered as an assisting tool to provide managers with the capacity to develop real-time strategies to monitor flood events. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • R. Fernandez & M. Bonansea & M. Marques, 2014. "Monitoring Turbid Plume Behavior from Landsat Imagery," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(10), pages 3255-3269, August.
    • Handle: RePEc:spr:waterr:v:28:y:2014:i:10:p:3255-3269
    DOI: 10.1007/s11269-014-0676-1
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11269-014-0676-1
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11269-014-0676-1?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. Claudia Giardino & Mariano Bresciani & Paolo Villa & Angiolo Martinelli, 2010. "Application of Remote Sensing in Water Resource Management: The Case Study of Lake Trasimeno, Italy," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(14), pages 3885-3899, November.
    2. Guofeng Wu & Jan Leeuw & Yaolin Liu, 2009. "Understanding Seasonal Water Clarity Dynamics of Lake Dahuchi from In Situ and Remote Sensing Data," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(9), pages 1849-1861, July.
    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. Xian Guan & Jonathan Li & William Booty, 2011. "Monitoring Lake Simcoe Water Clarity Using Landsat-5 TM Images," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(8), pages 2015-2033, June.
    2. Felix Ndayisaba & Lamek Nahayo & Hao Guo & Anming Bao & Alphonse Kayiranga & Fidele Karamage & Enan M. Nyesheja, 2017. "Mapping and Monitoring the Akagera Wetland in Rwanda," Sustainability, MDPI, vol. 9(2), pages 1-13, January.
    3. Mariano Bresciani & Claudia Giardino & Alice Fabbretto & Andrea Pellegrino & Salvatore Mangano & Gary Free & Monica Pinardi, 2022. "Application of New Hyperspectral Sensors in the Remote Sensing of Aquatic Ecosystem Health: Exploiting PRISMA and DESIS for Four Italian Lakes," Resources, MDPI, vol. 11(2), pages 1-17, January.
    4. Seyed Kamal Ghoreishi Gharehtikan & Saeid Gharechelou & Emad Mahjoobi & Saeed Golian & Fatemeh Rafiei & Hossein Salehi, 2024. "Surface Water Resources Planning in an Ungauged Transboundary Basin Using Satellite Products and the AHP Method," Geographies, MDPI, vol. 4(2), pages 1-17, May.
    5. Yipeng Liao & Yun Li & Jingxiang Shu & Zhiyong Wan & Benyou Jia & Ziwu Fan, 2021. "Water Transparency Prediction of Plain Urban River Network: A Case Study of Yangtze River Delta in China," Sustainability, MDPI, vol. 13(13), pages 1-15, July.
    6. Claudia Giardino & Mariano Bresciani & Paolo Villa & Angiolo Martinelli, 2010. "Application of Remote Sensing in Water Resource Management: The Case Study of Lake Trasimeno, Italy," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(14), pages 3885-3899, November.
    7. Lesley Mokgobu & Roger B. Mason, 2022. "Potential of space science technology for water infrastructure management: A literature review," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 11(2), pages 306-317, March.
    8. Min-Cheng Tu & Patricia Smith & Anthony M Filippi, 2018. "Hybrid forward-selection method-based water-quality estimation via combining Landsat TM, ETM+, and OLI/TIRS images and ancillary environmental data," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-23, July.

    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:28:y:2014:i:10:p:3255-3269. 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.