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  <doc>
    <id>25788</id>
    <completedYear/>
    <publishedYear>2020</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>20</pageNumber>
    <edition/>
    <issue/>
    <volume>584</volume>
    <type>articler</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2020-07-08</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Performance assessment of 2D Zero-Inertia and Shallow Water models for simulating rainfall-runoff processes</title>
    <abstract language="eng">Rainfall-runoff simulations are increasingly being performed with physically-based and spatially distributed solvers. The current computational and numerical technology enables the use of full shallow water equations solvers to be applied for these type of flow problems. Nonetheless, Zero-Inertia (diffusive wave) solvers have been historically favoured due to their conceptual and mathematical simplicity in comparison to shallow water solvers, with the working assumption that the simplifications introduced by Zero-Inertia will have some assumable impact on accuracy but will also allow for computational efficiency. Since both types of solvers have been primarily developed, benchmarked and compared to each other for fluvial and floodplain simulations, it is relevant to assess t-he relative performance for rainfall-runoff problems. In this work, both solvers are applied to a set of six well known test cases with reference solutions. The performance of the solvers is assessed in terms of global signatures such as hydrographs and flooded areas, but also in terms of spatial distributions of depth and velocity, as well as computational cost. Furthermore, the comparisons are performed across different spatial resolutions. The results show that for rainfall-runoff problems explicit, finite volumes solvers for both equations provide a similar accuracy, but the shallow water solver requires less computational time. The Zero-Inertia solver was found to be less sensitive to mesh refining than the full shallow water solver.</abstract>
    <parentTitle language="eng">Journal of Hydrology</parentTitle>
    <identifier type="doi">10.1016/j.jhydrol.2020.124663</identifier>
    <identifier type="url">http://www.sciencedirect.com/science/article/pii/S0022169420301232</identifier>
    <identifier type="issn">0022-1694</identifier>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <enrichment key="Artikelnummer">124663</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">false</enrichment>
    <enrichment key="Fprofil">3 Globaler Wandel und Transformationsprozesse / Global Change and Transformation Processes</enrichment>
    <author>
      <firstName>Daniel</firstName>
      <lastName>Caviedes-Voullième</lastName>
    </author>
    <submitter>
      <firstName>Uta</firstName>
      <lastName>Warstat</lastName>
    </submitter>
    <author>
      <firstName>Javier</firstName>
      <lastName>Fernández-Pato</lastName>
    </author>
    <author>
      <firstName>Christoph</firstName>
      <lastName>Hinz</lastName>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Surface runoff</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Runoff generation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Pluvial flooding</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Zero-inertia equation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Shallow-water equations</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Diffusive-wave equation</value>
    </subject>
    <collection role="institutes" number="2406">FG Hydrologie</collection>
  </doc>
  <doc>
    <id>25789</id>
    <completedYear/>
    <publishedYear>2020</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>14</pageNumber>
    <edition/>
    <issue>3</issue>
    <volume>13</volume>
    <type>articler</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2020-07-08</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">From nonequilibrium initial conditions to steady dryland vegetation patterns: How trajectories matter</title>
    <abstract language="eng">The multiscale nature of ecohydrological processes and feedbacks implies that vegetation patterns arising in water‐limited systems are directly linked to water redistribution processes occurring at much shorter timescales than vegetation growth. This in turn suggests that the initially available water in the system can play a role in determining the trajectory of the system, together with the well‐known role of the rainfall gradient. This work explores the role of initial hydrological conditions on vegetation dynamics and vegetation patterns. To do so, the HilleRisLambers–Rietkerk model was solved with different rainfall amounts and a large range of initial hydrological conditions spanning from near‐equilibrium to far‐from‐equilibrium conditions. The resulting vegetation patterns and ecohydrological signatures were quantitatively studied. The results show that not only do initial hydrological conditions play a role in the ecohydrological dynamics but also they can play a dominating one even resulting in divergent vegetation patterns that exhibit convergent mean‐field properties, including a new set of hybrid patterns. Our results highlight the relevance of assessing both global ecological and hydrological signatures and quantitatively assessing patterns to describe and understand system dynamics and in particular to determine if the systems are transient or steady. Furthermore, our analysis shows that the trajectories the system follows during its transient stages cannot be neglected to understand complex dependencies of the long‐term steady state to environmental factors and drivers.</abstract>
    <parentTitle language="eng">Ecohydrology</parentTitle>
    <identifier type="doi">10.1002/eco.2199</identifier>
    <identifier type="url">https://onlinelibrary.wiley.com/doi/full/10.1002/eco.2199</identifier>
    <identifier type="issn">1936-0584</identifier>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <enrichment key="Artikelnummer">e2199</enrichment>
    <enrichment key="Fprofil">3 Globaler Wandel und Transformationsprozesse / Global Change and Transformation Processes</enrichment>
    <author>
      <firstName>Daniel</firstName>
      <lastName>Caviedes-Voullième</lastName>
    </author>
    <submitter>
      <firstName>Uta</firstName>
      <lastName>Warstat</lastName>
    </submitter>
    <author>
      <firstName>Christoph</firstName>
      <lastName>Hinz</lastName>
    </author>
    <collection role="institutes" number="2406">FG Hydrologie</collection>
  </doc>
  <doc>
    <id>26034</id>
    <completedYear/>
    <publishedYear>2020</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>29</pageNumber>
    <edition/>
    <issue/>
    <volume>138</volume>
    <type>articler</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2020-09-23</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Multiwavelet-based mesh adaptivity with Discontinuous Galerkin schemes: Exploring 2D shallow water problems</title>
    <abstract language="eng">In Gerhard et al. (2015a) a new class of adaptive Discontinuous Galerkin schemes has been introduced for shallow water equations, including the particular necessary properties, such as well-balancing and wetting-drying treatments. The adaptivity strategy is based on multiresolution analysis using multiwavelets in order to encode information across different mesh resolution levels. In this work, we follow-up on the previous proof-of-concept to thoroughly explore the performance, capabilities and weaknesses of the adaptive numerical scheme in the two-dimensional shallow water setting, under complex and realistic problems. To do so, we simulate three well-known and frequently used experimental benchmark tests in the context of flood modelling, ranging from laboratory to field scale. The real and complex topographies result in complex flow fields which pose a greater challenge to the adaptive numerical scheme and are computationally more ambitious, thus requiring a parallelised version of the aforementioned scheme. The benchmark tests allow to examine in depth the resulting adaptive meshes and the hydrodynamic performance of the scheme. We show that the scheme presented by Gerhard et al. (2015a) is accurate, i.e., allows to capture simultaneously large and very small flow structures, is robust, i.e., local grid refinement is controlled by just one parmeter that is auotmatically chosen and is more efficient in terms of the adaptive meshes than other shallow-water adaptive schemes achieving higher resolution with less cells.</abstract>
    <parentTitle language="eng">Advances in Water Resources</parentTitle>
    <identifier type="doi">10.1016/j.advwatres.2020.103559</identifier>
    <identifier type="url">http://www.sciencedirect.com/science/article/pii/S0309170819309121</identifier>
    <identifier type="issn">0309-1708</identifier>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <enrichment key="Artikelnummer">103559</enrichment>
    <enrichment key="Fprofil">3 Globaler Wandel und Transformationsprozesse / Global Change and Transformation Processes</enrichment>
    <author>
      <firstName>Daniel</firstName>
      <lastName>Caviedes-Voullième</lastName>
    </author>
    <submitter>
      <firstName>Uta</firstName>
      <lastName>Warstat</lastName>
    </submitter>
    <author>
      <firstName>Nils</firstName>
      <lastName>Gerhard</lastName>
    </author>
    <author>
      <firstName>Aleksey</firstName>
      <lastName>Sikstel</lastName>
    </author>
    <author>
      <firstName>Siegfried</firstName>
      <lastName>Müller</lastName>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Dynamic adaptive meshing</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Multiresolution analysis</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>High-order schemes</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Shallow water equation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Discontinuous Galerkin</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Multiwavelets</value>
    </subject>
    <collection role="institutes" number="2406">FG Hydrologie</collection>
  </doc>
  <doc>
    <id>26036</id>
    <completedYear/>
    <publishedYear>2020</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1059</pageFirst>
    <pageLast>1077</pageLast>
    <pageNumber/>
    <edition/>
    <issue>5</issue>
    <volume>22</volume>
    <type>articler</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2020-09-23</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Wavelet-based local mesh refinement for rainfall–runoff simulations</title>
    <abstract language="eng">A wavelet-based local mesh refinement (wLMR) strategy is designed to generate multiresolution and unstructured triangular meshes from real digital elevation model (DEM) data for efficient hydrological simulations at the catchment scale. The wLMR strategy is studied considering slope- and curvature-based refinement criteria to analyze DEM inputs: the slope-based criterion uses bed elevation data as input to the wLMR strategy, whereas the curvature-based criterion feeds the bed slope data into it. The performance of the wLMR meshes generated by these two criteria is compared for hydrological simulations; first, using three analytical tests with the systematic variation in topography types and then by reproducing laboratory- and real-scale case studies. The bed elevation on the wLMR meshes and their simulation results are compared relative to those achieved on the finest uniform mesh. Analytical tests show that the slope- and curvature-based criteria are equally effective with the wLMR strategy, and that it is easier to decide which criterion to take in relation to the (regular) shape of the topography. For the realistic case studies: (i) slope analysis provides a better metric to assess the correlation of a wLMR mesh to the fine uniform mesh and (ii) both criteria predict outlet hydrographs with a close predictive accuracy to that on the uniform mesh, but the curvature-based criterion is found to slightly better capture the channeling patterns of real DEM data.</abstract>
    <parentTitle language="eng">Journal of Hydroinformatics</parentTitle>
    <identifier type="doi">10.2166/hydro.2020.198</identifier>
    <identifier type="issn">1464-7141</identifier>
    <identifier type="issn">1465-1734</identifier>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <enrichment key="Fprofil">3 Globaler Wandel und Transformationsprozesse / Global Change and Transformation Processes</enrichment>
    <author>
      <firstName>Ilhan</firstName>
      <lastName>Özgen-Xian</lastName>
    </author>
    <submitter>
      <firstName>Uta</firstName>
      <lastName>Warstat</lastName>
    </submitter>
    <author>
      <firstName>Georges</firstName>
      <lastName>Kesserwani</lastName>
    </author>
    <author>
      <firstName>Daniel</firstName>
      <lastName>Caviedes-Voullième</lastName>
    </author>
    <author>
      <firstName>Sergi</firstName>
      <lastName>Molins</lastName>
    </author>
    <author>
      <firstName>Zexuan</firstName>
      <lastName>Xu</lastName>
    </author>
    <author>
      <firstName>Dipankar</firstName>
      <lastName>Dwivedi</lastName>
    </author>
    <author>
      <firstName>J. David</firstName>
      <lastName>Moulton</lastName>
    </author>
    <author>
      <firstName>Carl I.</firstName>
      <lastName>Steefel</lastName>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>diffusion-wave hydrological modeling</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>multiresolution triangular mesh generation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>overland flow at catchment scale</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>slope- vs. curvature-based topographic inputs</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>wavelet-based local mesh refinement</value>
    </subject>
    <collection role="institutes" number="2406">FG Hydrologie</collection>
  </doc>
  <doc>
    <id>26601</id>
    <completedYear/>
    <publishedYear>2020</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
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    <publisherName/>
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    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2021-01-04</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Exploring the effects of rainfall variability on banded vegetation</title>
    <parentTitle language="eng">EGU General Assembly 2020, Online, 4–8 May 2020</parentTitle>
    <identifier type="doi">10.5194/egusphere-egu2020-13238</identifier>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <enrichment key="Artikelnummer">EGU2020-13238</enrichment>
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    <enrichment key="opus.doi.autoCreate">false</enrichment>
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    <enrichment key="Fprofil">3 Globaler Wandel und Transformationsprozesse / Global Change and Transformation Processes</enrichment>
    <author>
      <firstName>Claudia</firstName>
      <lastName>Schütt</lastName>
    </author>
    <submitter>
      <firstName>Uta</firstName>
      <lastName>Warstat</lastName>
    </submitter>
    <author>
      <firstName>Daniel</firstName>
      <lastName>Caviedes-Voullième</lastName>
    </author>
    <author>
      <firstName>Christoph</firstName>
      <lastName>Hinz</lastName>
    </author>
    <collection role="institutes" number="2406">FG Hydrologie</collection>
  </doc>
  <doc>
    <id>26603</id>
    <completedYear/>
    <publishedYear>2020</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
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    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2021-01-04</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Adaptive 2D shallow water simulation based on a MultiWavelet Discontinous Galerkin approach</title>
    <parentTitle language="eng">EGU General Assembly 2020, Online, 4–8 May 2020</parentTitle>
    <identifier type="doi">10.5194/egusphere-egu2020-14464</identifier>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <enrichment key="Artikelnummer">EGU2020-14464</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
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    <enrichment key="Fprofil">3 Globaler Wandel und Transformationsprozesse / Global Change and Transformation Processes</enrichment>
    <author>
      <firstName>Daniel</firstName>
      <lastName>Caviedes-Voullième</lastName>
    </author>
    <submitter>
      <firstName>Uta</firstName>
      <lastName>Warstat</lastName>
    </submitter>
    <author>
      <firstName>Nils</firstName>
      <lastName>Gerhard</lastName>
    </author>
    <author>
      <firstName>Aleksey</firstName>
      <lastName>Sikstel</lastName>
    </author>
    <author>
      <firstName>Siegfried</firstName>
      <lastName>Müller</lastName>
    </author>
    <collection role="institutes" number="2406">FG Hydrologie</collection>
  </doc>
  <doc>
    <id>26605</id>
    <completedYear/>
    <publishedYear>2020</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>3</pageNumber>
    <edition/>
    <issue>4</issue>
    <volume>13</volume>
    <type>articler</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2021-01-04</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Computational advances and innovations in flood risk mapping</title>
    <parentTitle language="eng">Journal of Flood Risk Management</parentTitle>
    <identifier type="url">https://onlinelibrary.wiley.com/doi/pdf/10.1111/jfr3.12666</identifier>
    <identifier type="doi">10.1111/jfr3.12666</identifier>
    <identifier type="issn">1753-318X</identifier>
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    <enrichment key="Artikelnummer">e12666</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="Fprofil">3 Globaler Wandel und Transformationsprozesse / Global Change and Transformation Processes</enrichment>
    <author>
      <firstName>Michael</firstName>
      <lastName>Nones</lastName>
    </author>
    <submitter>
      <firstName>Uta</firstName>
      <lastName>Warstat</lastName>
    </submitter>
    <author>
      <firstName>Daniel</firstName>
      <lastName>Caviedes-Voullième</lastName>
    </author>
    <collection role="institutes" number="2406">FG Hydrologie</collection>
  </doc>
  <doc>
    <id>26595</id>
    <completedYear/>
    <publishedYear>2020</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
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    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2021-01-04</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Effects of microtopography across spatial scales: studying hydrological response through high-resolution shallow-water modelling</title>
    <parentTitle language="eng">EGU General Assembly 2020, Online, 4–8 May 2020</parentTitle>
    <identifier type="doi">10.5194/egusphere-egu2020-10655</identifier>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <enrichment key="Artikelnummer">EGU2020-10655</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
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    <enrichment key="Fprofil">3 Globaler Wandel und Transformationsprozesse / Global Change and Transformation Processes</enrichment>
    <author>
      <firstName>Mario</firstName>
      <lastName>Morales-Hernandez</lastName>
    </author>
    <submitter>
      <firstName>Uta</firstName>
      <lastName>Warstat</lastName>
    </submitter>
    <author>
      <firstName>Ilhan</firstName>
      <lastName>Özgen-Xian</lastName>
    </author>
    <author>
      <firstName>Daniel</firstName>
      <lastName>Caviedes-Voullième</lastName>
    </author>
    <collection role="institutes" number="2406">FG Hydrologie</collection>
  </doc>
  <doc>
    <id>26597</id>
    <completedYear/>
    <publishedYear>2020</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
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    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2021-01-04</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Semi-automatic image analysis of spatiotemporal vegetation evolution in the Hühnerwasser catchment</title>
    <parentTitle language="eng">EGU General Assembly 2020, Online, 4–8 May 2020</parentTitle>
    <identifier type="doi">10.5194/egusphere-egu2020-13522</identifier>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <enrichment key="Artikelnummer">EGU2020-13522</enrichment>
    <enrichment key="opus.source">publish</enrichment>
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    <enrichment key="Fprofil">3 Globaler Wandel und Transformationsprozesse / Global Change and Transformation Processes</enrichment>
    <author>
      <firstName>Pedro</firstName>
      <lastName>Rojas</lastName>
    </author>
    <submitter>
      <firstName>Uta</firstName>
      <lastName>Warstat</lastName>
    </submitter>
    <author>
      <firstName>Daniel</firstName>
      <lastName>Caviedes-Voullième</lastName>
    </author>
    <author>
      <firstName>Christoph</firstName>
      <lastName>Hinz</lastName>
    </author>
    <collection role="institutes" number="2406">FG Hydrologie</collection>
  </doc>
  <doc>
    <id>26599</id>
    <completedYear/>
    <publishedYear>2020</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject_noref</type>
    <publisherName/>
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    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2021-01-04</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Coupled effects of microtopography and time-dependant infiltration capacity on rainfall-runoff-infiltration partitioning on a hillslope</title>
    <parentTitle language="eng">EGU General Assembly 2020, Online, 4-8 May 2020</parentTitle>
    <identifier type="doi">10.5194/egusphere-egu2020-18200</identifier>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <enrichment key="Artikelnummer">EGU2020-18200</enrichment>
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    <enrichment key="Fprofil">3 Globaler Wandel und Transformationsprozesse / Global Change and Transformation Processes</enrichment>
    <author>
      <firstName>Ebrahim</firstName>
      <lastName>Ahmadinia</lastName>
    </author>
    <submitter>
      <firstName>Uta</firstName>
      <lastName>Warstat</lastName>
    </submitter>
    <author>
      <firstName>Daniel</firstName>
      <lastName>Caviedes-Voullième</lastName>
    </author>
    <author>
      <firstName>Christoph</firstName>
      <lastName>Hinz</lastName>
    </author>
    <collection role="institutes" number="2406">FG Hydrologie</collection>
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