<?xml version="1.0" encoding="utf-8"?>
<export-example>
  <doc>
    <id>18920</id>
    <completedYear/>
    <publishedYear>2016</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>496</pageFirst>
    <pageLast>513</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>536</volume>
    <type>articler</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2017-03-02</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Rainfall/runoff simulation with 2D full shallow water equations: Sensitivity analysis and calibration of infiltration parameters</title>
    <abstract language="eng">One of the most difficult issues in the development of hydrologic models is to find a rigorous source of data and specific parameters to a given problem, on a given location that enable reliable calibration. In this paper, a distributed and physically based model (2D Shallow Water Equations) is used for surface flow and runoff calculations in combination with two infiltration laws (Horton and Green–Ampt) for estimating infiltration in a watershed. This technique offers the capability of assigning a local and timedependent infiltration rate to each computational cell depending on the available surface water, soil type or vegetation. We investigate how the calibration of parameters is affected by transient distributed Shallow Water model and the complexity of the problem. In the first part of this work, we calibrate the infiltration parameters for both Horton and Green–Ampt models under flat ponded soil conditions. Then, by means of synthetic test cases, we perform a space-distributed sensitivity analysis in order to&#13;
show that this calibration can be significantly affected by the introduction of topography or rainfall. In the second part, parameter calibration for a real catchment is addressed by comparing the numerical simulations with two different sets of experimental data, corresponding to very different events in terms of the rainfall volume. We show that the initial conditions of the catchment and the rainfall pattern have a special relevance in the quality of the adjustment. Hence, it is shown that the topography of the catchment&#13;
and the storm characteristics affect the calibration of infiltration parameters.</abstract>
    <parentTitle language="eng">Journal of Hydrology</parentTitle>
    <identifier type="doi">10.1016/j.jhydrol.2016.03.021</identifier>
    <identifier type="url">http://dx.doi.org/10.1016/j.jhydrol.2016.03.021</identifier>
    <identifier type="issn">0022-1694</identifier>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <author>
      <firstName>Javier</firstName>
      <lastName>Fernández-Pato</lastName>
    </author>
    <submitter>
      <firstName>Uta</firstName>
      <lastName>Warstat</lastName>
    </submitter>
    <author>
      <firstName>Daniel</firstName>
      <lastName>Caviedes-Voullième</lastName>
    </author>
    <author>
      <firstName>Pilar</firstName>
      <lastName>García-Navarro</lastName>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Finite volumes</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Shallow-water equations</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Hydrologic modeling</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Infiltration models</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Rain-runoff generation</value>
    </subject>
    <collection role="institutes" number="2406">FG Hydrologie</collection>
  </doc>
  <doc>
    <id>22780</id>
    <completedYear/>
    <publishedYear>2018</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>130</pageFirst>
    <pageLast>149</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>121</volume>
    <type>articler</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2018-11-27</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Towards transient experimental water surfaces: A new benchmark dataset for 2D shallow water solver</title>
    <abstract language="eng">In the past decade, shallow water solvers have dramatically improved both in terms of accuracy and computational power. New mathematical models and numerical schemes have been systematically verified against 1D exact solutions and laboratory experiments. Despite the two-dimensional nature of some of these benchmark tests, none of them reports complete 2D water depth fields, but only a few profiles are measured and reported in the best case. This work reports a new benchmarking dataset for validation of shallow water solvers, in which two-dimensional transient water depth measurements are available for complex steady and transient laboratory flume experiments, ranging from transcritical steady flow to dam-break flows around obstacles and complex beds. The transient water surface was measured using a commercial-grade RGB-D sensing device which allows to capture a succession of color-coded point clouds at a high frequency. These experimental measurements are compared with 2D shallow water simulations carried out with an extensively tested finite volume solver. Results asses the suitability of this dataset to perform as benchmark tests, identifying potential limitations of current and future models.</abstract>
    <parentTitle language="eng">Advances in Water Resources</parentTitle>
    <identifier type="doi">10.1016/j.advwatres.2018.08.013</identifier>
    <identifier type="issn">0309-1708</identifier>
    <identifier type="issn">1872-9657</identifier>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <author>
      <firstName>Sergio</firstName>
      <lastName>Martı́nez-Aranda</lastName>
    </author>
    <submitter>
      <firstName>Uta</firstName>
      <lastName>Warstat</lastName>
    </submitter>
    <author>
      <firstName>Javier</firstName>
      <lastName>Fernández-Pato</lastName>
    </author>
    <author>
      <firstName>Daniel</firstName>
      <lastName>Caviedes-Voullième</lastName>
    </author>
    <author>
      <firstName>Ignacio</firstName>
      <lastName>García-Palacín</lastName>
    </author>
    <author>
      <firstName>Pilar</firstName>
      <lastName>García-Navarro</lastName>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Finite volumes</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Shallow water equations</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>3D-Sensing</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>RGB-D Sensor</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Transient free-surface flow</value>
    </subject>
    <collection role="institutes" number="2406">FG Hydrologie</collection>
  </doc>
</export-example>
