Articles | Volume 5, issue 1
https://doi.org/10.5194/gi-5-241-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gi-5-241-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
A novel permanent gauge-cam station for surface-flow observations on the Tiber River
Flavia Tauro
Dipartimento per l'Innovazione nei Sistemi Biologici,
Agroalimentari e Forestali, University of Tuscia, Viterbo 01100, Italy
Andrea Petroselli
Dipartimento di Scienze Agrarie e Forestali, University of Tuscia,
Viterbo 01100, Italy
Maurizio Porfiri
Department of Mechanical and Aerospace
Engineering, New York University Tandon School of Engineering,
11201 Brooklyn, NY, USA
Lorenzo Giandomenico
CAE S.p.a., San Lazzaro di
Savena 40068, Italy
Guido Bernardi
CAE S.p.a., San Lazzaro di
Savena 40068, Italy
Francesco Mele
Centro Funzionale Regione Lazio, Rome 00145,
Italy
Domenico Spina
Centro Funzionale Regione Lazio, Rome 00145,
Italy
Salvatore Grimaldi
CORRESPONDING AUTHOR
Dipartimento per l'Innovazione nei Sistemi Biologici,
Agroalimentari e Forestali, University of Tuscia, Viterbo 01100, Italy
Department of Mechanical and Aerospace
Engineering, New York University Tandon School of Engineering,
11201 Brooklyn, NY, USA
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Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2021-36, https://doi.org/10.5194/hess-2021-36, 2021
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Although headwater observations are crucial in hydrology, monitoring ephemeral streams remains a challenge and, in turn, available data is limited. This research would like to stimulate the community to investigate on an extremely affordable approach for measuring water depth in small ephemeral streams. In this technical note, preliminary tests with a simple white-pole-wildlife-camera system demonstrate the promise of this new approach in sensing the water level in a small headwater catchment.
Matthew T. Perks, Silvano Fortunato Dal Sasso, Alexandre Hauet, Elizabeth Jamieson, Jérôme Le Coz, Sophie Pearce, Salvador Peña-Haro, Alonso Pizarro, Dariia Strelnikova, Flavia Tauro, James Bomhof, Salvatore Grimaldi, Alain Goulet, Borbála Hortobágyi, Magali Jodeau, Sabine Käfer, Robert Ljubičić, Ian Maddock, Peter Mayr, Gernot Paulus, Lionel Pénard, Leigh Sinclair, and Salvatore Manfreda
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We present datasets acquired from seven countries across Europe and North America consisting of image sequences. These have been subjected to a range of pre-processing methods in preparation for image velocimetry analysis. These datasets and accompanying reference data are a resource that may be used for conducting benchmarking experiments, assessing algorithm performances, and focusing future software development.
Flavia Tauro, Andrea Petroselli, Aldo Fiori, Nunzio Romano, Maria Cristina Rulli, Maurizio Porfiri, Mario Palladino, and Salvatore Grimaldi
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2016-501, https://doi.org/10.5194/hess-2016-501, 2016
Revised manuscript not accepted
F. Tauro, G. Olivieri, A. Petroselli, M. Porfiri, and S. Grimaldi
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Manuscript not accepted for further review
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Although headwater observations are crucial in hydrology, monitoring ephemeral streams remains a challenge and, in turn, available data is limited. This research would like to stimulate the community to investigate on an extremely affordable approach for measuring water depth in small ephemeral streams. In this technical note, preliminary tests with a simple white-pole-wildlife-camera system demonstrate the promise of this new approach in sensing the water level in a small headwater catchment.
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We present datasets acquired from seven countries across Europe and North America consisting of image sequences. These have been subjected to a range of pre-processing methods in preparation for image velocimetry analysis. These datasets and accompanying reference data are a resource that may be used for conducting benchmarking experiments, assessing algorithm performances, and focusing future software development.
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Global floodplain mapping has rapidly progressed over the past few years. Different methods have been proposed to identify areas prone to river flooding, resulting in a plethora of available products. Here we assess the potential and limitations of two main paradigms and provide guidance on the use of these global products in assessing flood risk in data-poor regions.
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Adv. Geosci., 44, 9–13, https://doi.org/10.5194/adgeo-44-9-2017, https://doi.org/10.5194/adgeo-44-9-2017, 2017
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Throughout history, the city of Rome has experienced numerous flooding events from the Tiber river. Ancient Rome mostly developed on the hills, while the Tiber’s floodplain was mainly used for agricultural purposes. Instead, many people live nowadays in modern districts in the Tiber’s floodplain, often unaware of their exposure to potentially flooding. This research work aims to explore the dynamics of changing flood risk between these two opposite pictures of ancient and contemporary Rome.
Flavia Tauro, Andrea Petroselli, Aldo Fiori, Nunzio Romano, Maria Cristina Rulli, Maurizio Porfiri, Mario Palladino, and Salvatore Grimaldi
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2016-501, https://doi.org/10.5194/hess-2016-501, 2016
Revised manuscript not accepted
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Proc. IAHS, 373, 175–178, https://doi.org/10.5194/piahs-373-175-2016, https://doi.org/10.5194/piahs-373-175-2016, 2016
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Many hydrological studies are devoted to the identification of events that are expected to occur on average within a certain time span. While this topic is well established in the univariate case, recent advances focus on a multivariate characterization of events based on copulas. Following a previous study, we show how the definition of the survival Kendall return period fits into the set of multivariate return periods.
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Manuscript not accepted for further review
B. Gräler, M. J. van den Berg, S. Vandenberghe, A. Petroselli, S. Grimaldi, B. De Baets, and N. E. C. Verhoest
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Short summary
Flow monitoring of riverine environments is crucial for hydrology and hydraulic engineering practice. In this paper, we describe a novel permanent gauge-cam station for large-scale and continuous observation of surface flows, based on remote acquisition and calibration of video data. In a feasibility study, we demonstrate that accurate surface-flow velocity estimations can be obtained by analyzing experimental images via particle tracking velocimetry.
Flow monitoring of riverine environments is crucial for hydrology and hydraulic engineering...