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Träfflista för sökning "WFRF:(Alfonso F) ;pers:(Alfonso L)"

Sökning: WFRF:(Alfonso F) > Alfonso L

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  • Ridolfi, Elena, et al. (författare)
  • A new methodology to define homogeneous regions through an entropy based clustering method
  • 2016
  • Ingår i: Advances in Water Resources. - : Elsevier BV. - 0309-1708 .- 1872-9657. ; 96, s. 237-250
  • Tidskriftsartikel (refereegranskat)abstract
    • One of the most crucial steps in flow frequency studies is the definition of Homogenous Regions (HRs), i.e. areas with similar hydrological behavior. This is essential in ungauged catchments, as HR allows information to be transferred from a neighboring river basin. This study proposes a new, entropy-based approach to define HRs, in which regions are defined as homogeneous if their hydrometric stations capture redundant information. The problem is handled through the definition of the Information Transferred Index (ITI) as the ratio between redundant information and the total information provided by pairs of stations. The methodology is compared with a traditional, distance-based clustering method through a Monte Carlo experiment and a jack-knife procedure. Results indicate that the ITI-based method performs Well, adding value to current methodologies to define HRs.
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  • Ridolfi, Elena, et al. (författare)
  • Optimal Cross-sectional Sampling for River Modelling with Bridges : an Information Theory-based Method
  • 2016
  • Ingår i: Proceedings Of The International Conference On Numerical Analysis And Applied Mathematics 2015 (ICNAAM-2015). - : Author(s). - 9780735413924
  • Konferensbidrag (refereegranskat)abstract
    • The description of river topography has a crucial role in accurate one-dimensional (1D) hydraulic modelling. Specifically, cross-sectional data define the riverbed elevation, the flood-prone area, and thus, the hydraulic behavior of the river. Here, the problem of the optimal cross-sectional spacing is solved through an information theory-based concept. The optimal subset of locations is the one with the maximum information content and the minimum amount of redundancy. The original contribution is the introduction of a methodology to sample river cross sections in the presence of bridges. The approach is tested on the Grosseto River (IT) and is compared to existing guidelines. The results show that the information theory-based approach can support traditional methods to estimate rivers' cross-sectional spacing.
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  • Resultat 1-4 av 4

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