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Monitoring Turbid Plume Behavior from Landsat Imagery

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  • 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
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    References listed on IDEAS

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    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.
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