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  • Floods are the most frequent natural disasters affecting the Moravian-Silesian region. Therefore a system that could predict flood extents and help in the operative disaster management was requested. The FLOREON+ system was created to fulfil these requests. This article describes statistical evaluation of the rainfall-runoff models in the FLOREON+ system and modelling of uncertainty in the environment parameters of the model. The Monte-Carlo simulation method is used for estimating possible river discharge volumes based on the uncertainty of precipitation and meteorology forecast and provides several confidence intervals that can support the decisions in the operational disaster management. Experiments with other environment parameters and their influence on final river discharge volumes are also discussed.
  • Floods are the most frequent natural disasters affecting the Moravian-Silesian region. Therefore a system that could predict flood extents and help in the operative disaster management was requested. The FLOREON+ system was created to fulfil these requests. This article describes statistical evaluation of the rainfall-runoff models in the FLOREON+ system and modelling of uncertainty in the environment parameters of the model. The Monte-Carlo simulation method is used for estimating possible river discharge volumes based on the uncertainty of precipitation and meteorology forecast and provides several confidence intervals that can support the decisions in the operational disaster management. Experiments with other environment parameters and their influence on final river discharge volumes are also discussed. (en)
Title
  • Simulation of Uncertainty in Rainfall-Runoff Models and their Statistical Evaluation in the Floreon System
  • Simulation of Uncertainty in Rainfall-Runoff Models and their Statistical Evaluation in the Floreon System (en)
skos:prefLabel
  • Simulation of Uncertainty in Rainfall-Runoff Models and their Statistical Evaluation in the Floreon System
  • Simulation of Uncertainty in Rainfall-Runoff Models and their Statistical Evaluation in the Floreon System (en)
skos:notation
  • RIV/61989100:27740/12:86084900!RIV13-MSM-27740___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ED1.1.00/02.0070)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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http://linked.open...iv/duvernostUdaju
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  • 168061
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27740/12:86084900
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  • uncertainty modelling, Monte-Carlo simulation, rainfall-runoff modelling, river discharge volume statistical evaluation (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [DC649E63498F]
http://linked.open...v/mistoKonaniAkce
  • Vídeň
http://linked.open...i/riv/mistoVydani
  • Genova
http://linked.open...i/riv/nazevZdroje
  • The 11th International Conference on Modeling and Applied Simulation, MAS 2012 : September 19-21 2012, Vienna, Austria
http://linked.open...in/vavai/riv/obor
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http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Kocyan, Tomáš
  • Kuchař, Štěpán
  • Litschmannová, Martina
  • Martinovič, Jan
  • Vondrák, Vít
  • Praks, Pavel
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
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  • DIME Università Di Genova
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  • 978-88-97999-02-7
http://localhost/t...ganizacniJednotka
  • 27740
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