Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2017
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2017
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2017
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

Water Depth Time Series Derived By Flow-R2D Model Simulating The Tous Dam Break

Authors: Bellos, Vasilis;

Water Depth Time Series Derived By Flow-R2D Model Simulating The Tous Dam Break

Abstract

In this dataset, the water depth time series in 21 gauges of Sumacarcel town are derived by the FLOW-R2D model, assuming 240 different combinations of three input paramaters: a) input flow to the computatioal domain (upstream boundaries) (Q) b) the Manning coefficient of the computational domain (n) c) effective slope (required at the upstream boundaries) (S) The sampling for the three parameters is made by Latin Hypercube technique, assuming for each parameter the following interval: a) 10000-20000 m^3/s b) 0.03-0.21 s/m^(1/3) c) 0.0001 - 0.02 The dataset consists of the following: 1) input_data.csv file, in which the 240 combinations of the three input parameters is provided (Scenario 100 - 399) 2) runs_tous folder, in which files 100.cv-399.csv. Water depth time series are recorded in 21 gauges. The first column is time (in seconds), and the water dpeths are in meters. Papers relative to this dataset: 1) Description of the case study: Alcrudo F and Mulet J (2007). Description of the Tous Dam break case study (Spain). Journal of Hydraulic Research, 45, 45-57. 2) Simulation of tous dam break with FLOW-R2D: Bellos V and Tsakiris G (2015). 2D flood modelling: the case of Tous dam break. Proceedings of 36th World Congress of IAHR, the Hague, the Netherlands. (e-proceedings). 3) Calibration of the case study of the FLOW-R2D paramteters: Christelis V, Bellos, V, Tsakiris, G (2016). Employing surrogate modelling for the calibration of a 2D flood simulation model. Proceedings of 4th European Congress of IAHR, “Sustainable Hydraulics in the era of global change”, edited by S. Erpicum, B. Dewals, P. Archambeau, M. Pirotton, Liege, Belgium: 727-732. 4) Presentation of the FLOW-R2D model: Tsakiris G and Bellos, V (2014) A numerical model for two-dimensional flood routing in complex terrains. Water Resources Management 28(5):1277-1291

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    OpenAIRE UsageCounts
    Usage byUsageCounts
    visibility views 4
  • 4
    views
    Powered byOpenAIRE UsageCounts
Powered by OpenAIRE graph
Found an issue? Give us feedback
visibility
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
0
Average
Average
Average
4