@article{ErpicumCrookstonBombardellietal.2021,
  author    = {Erpicum, Sebastien and Crookston, Brian M. and Bombardelli, Fabian and Bung, Daniel Bernhard and Felder, Stefan and Mulligan, Sean and Oertel, Mario and Palermo, Michele},
  title     = {Hydraulic structures engineering: An evolving science in a changing world},
  series = {Wires Water},
  volume    = {8},
  journal   = {Wires Water},
  number    = {2},
  publisher = {Wiley},
  address   = {Weinheim},
  issn      = {2049-1948},
  doi       = {10.1002/wat2.1505},
  year      = {2021},
  language  = {en}
}
@article{KramerValeroChansonetal.2019,
  author    = {Kramer, Matthias and Valero, Daniel and Chanson, Hubert and Bung, Daniel Bernhard},
  title     = {Towards reliable turbulence estimations with phase-detection probes: an adaptive window cross-correlation technique},
  series = {Experiments in Fluids},
  volume    = {60},
  journal   = {Experiments in Fluids},
  publisher = {Springer},
  address   = {Berlin},
  issn      = {1432-1114},
  doi       = {10.1007/s00348-018-2650-9},
  year      = {2019},
  language  = {en}
}
@article{ValeroVitiGualtieri2019,
  author    = {Valero, Daniel and Viti, Nicolo and Gualtieri, Carlo},
  title     = {Numerical Simulation of Hydraulic Jumps. Part 1: Experimental Data for Modelling Performance Assessment},
  series = {Water},
  volume    = {11},
  journal   = {Water},
  number    = {1},
  publisher = {MDPI},
  address   = {Basel},
  issn      = {2073-4441},
  doi       = {10.3390/w11010036},
  pages     = {Art. Nr. 36},
  year      = {2019},
  language  = {en}
}
@article{VitiValeroGualtieri2019,
  author    = {Viti, Nicolo and Valero, Daniel and Gualtieri, Carlo},
  title     = {Numerical Simulation of Hydraulic Jumps. Part 2: Recent Results and Future Outlook},
  series = {Water},
  volume    = {11},
  journal   = {Water},
  number    = {1},
  issn      = {2073-4441},
  doi       = {10.3390/w11010028},
  pages     = {Art. Nr. 28},
  year      = {2019},
  language  = {en}
}
@article{KerresGredigkHoffmannJatheetal.2020,
  author    = {Kerres, Karsten and Gredigk-Hoffmann, Sylvia and Jathe, R{\"u}diger and Orlik, Stefan and Sariyildiz, Mustafa and Schmidt, Torsten and Sympher, Klaus-Jochen and Uhlenbroch, Adrian},
  title     = {Future approaches for sewer system condition assessment},
  series = {Water Practice \& Technology},
  journal   = {Water Practice \& Technology},
  number    = {15 (2)},
  publisher = {IWA Publishing},
  address   = {London},
  issn      = {1751-231X},
  doi       = {10.2166/wpt.2020.027},
  pages     = {386 -- 393},
  year      = {2020},
  abstract  = {Different analytical approaches exist to describe the structural substance or wear reserve of sewer systems. The aim is to convert engineering assessments of often complex defect patterns into computational algorithms and determine a substance class for a sewer section or manhole. This analytically determined information is essential for strategic rehabilitation planning processes up to network level, as it corresponds to the most appropriate rehabilitation type and can thus provide decision-making support. Current calculation methods differ clearly from each other in parts, so that substance classes determined by the different approaches are only partially comparable with each other. The objective of the German R\&D cooperation project 'SubKanS' is to develop a methodology for classifying the specific defect patterns resulting from the interaction of all the individual defects, and their severities and locations. The methodology takes into account the structural substance of sewer sections and manholes, based on real data and theoretical considerations analogous to the condition classification of individual defects. The result is a catalogue of defect patterns and characteristics, as well as associated structural substance classifications of sewer systems (substance classes). The methodology for sewer system substance classification is developed so that the classification of individual defects can be transferred into a substance class of the sewer section or manhole, eventually taking into account further information (e.g. pipe material, nominal diameter, etc.). The result is a validated methodology for automated sewer system substance classification.},
  language  = {en}
}
@article{Hoettges2017,
  author    = {H{\"o}ttges, J{\"o}rg},
  title     = {QKan - Management of drainage system data with QGIS},
  series = {Free and Open Source Software for Geospatial (FOSS4G) Conference Proceedings},
  volume    = {17},
  journal   = {Free and Open Source Software for Geospatial (FOSS4G) Conference Proceedings},
  number    = {Article 13},
  pages     = {95 -- 100},
  year      = {2017},
  language  = {en}
}
@article{KuhnhenneRegerPyschnyetal.2020,
  author    = {Kuhnhenne, Markus and Reger, Vitali and Pyschny, Dominik and D{\"o}ring, Bernd},
  title     = {Influence of airtightness of steel sandwich panel joints on heat losses},
  series = {E3S Web of Conferences 12th Nordic Symposium on Building Physics (NSB 2020)},
  volume    = {172},
  journal   = {E3S Web of Conferences 12th Nordic Symposium on Building Physics (NSB 2020)},
  number    = {Art. 05008},
  publisher = {EDP Sciences},
  address   = {Les Ulis},
  doi       = {10.1051/e3sconf/202017205008},
  pages     = {6},
  year      = {2020},
  abstract  = {Energy saving ordinances requires that buildings must be designed in such a way that the heat transfer surface including the joints is permanently air impermeable. The prefabricated roof and wall panels in lightweight steel constructions are airtight in the area of the steel covering layers. The sealing of the panel joints contributes to fulfil the comprehensive requirements for an airtight building envelope. To improve the airtightness of steel sandwich panels, additional sealing tapes can be installed in the panel joint. The influence of these sealing tapes was evaluated by measurements carried out by the RWTH Aachen University - Sustainable Metal Building Envelopes. Different installation situations were evaluated by carrying out airtightness tests for different joint distances. In addition, the influence on the heat transfer coefficient was also evaluated using the Finite Element Method (FEM). The combination of obtained air volume flow and transmission losses enables to create an "effective heat transfer coefficient" due to transmission and infiltration. This summarizes both effects in one value and is particularly helpful for approximate calculations on energy efficiency.},
  language  = {en}
}
@article{BungCrookstonValero2020,
  author    = {Bung, Daniel Bernhard and Crookston, Brian M. and Valero, Daniel},
  title     = {Turbulent free-surface monitoring with an RGB-D sensor: the hydraulic jump case},
  series = {Journal of Hydraulic Research},
  journal   = {Journal of Hydraulic Research},
  publisher = {Taylor \& Francis},
  address   = {London},
  issn      = {1814-2079},
  doi       = {10.1080/00221686.2020.1844810},
  year      = {2020},
  language  = {en}
}
@article{BungValero2016,
  author    = {Bung, Daniel Bernhard and Valero, Daniel},
  title     = {Optical flow estimation in aerated flows},
  series = {Journal of Hydraulic Research},
  volume    = {54},
  journal   = {Journal of Hydraulic Research},
  number    = {5},
  publisher = {Taylor \& Francis},
  address   = {London},
  doi       = {10.1080/00221686.2016.1173600},
  pages     = {575 -- 580},
  year      = {2016},
  abstract  = {Optical flow estimation is known from Computer Vision where it is used to determine obstacle movements through a sequence of images following an assumption of brightness conservation. This paper presents the first study on application of the optical flow method to aerated stepped spillway flows. For this purpose, the flow is captured with a high-speed camera and illuminated with a synchronized LED light source. The flow velocities, obtained using a basic Horn-Schunck method for estimation of the optical flow coupled with an image pyramid multi-resolution approach for image filtering, compare well with data from intrusive conductivity probe measurements. Application of the Horn-Schunck method yields densely populated flow field data sets with velocity information for every pixel. It is found that the image pyramid approach has the most significant effect on the accuracy compared to other image processing techniques. However, the final results show some dependency on the pixel intensity distribution, with better accuracy found for grey values between 100 and 150.},
  language  = {en}
}
@article{ValeroBung2017,
  author    = {Valero, Daniel and Bung, Daniel Bernhard},
  title     = {Artificial Neural Networks and pattern recognition for air-water flow velocity estimation using a single-tip optical fibre probe},
  series = {Journal of Hydro-environment Research},
  volume    = {19},
  journal   = {Journal of Hydro-environment Research},
  number    = {3},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {1570-6443},
  doi       = {10.1016/j.jher.2017.08.004},
  pages     = {150 -- 159},
  year      = {2017},
  language  = {en}
}