Results 141 to 150 of about 948 (176)

From PIV to LSPIV: Harnessing deep learning for environmental flow velocimetry

Journal of Hydrology
James B. Tlhomole, Graham O. Hughes, Mingrui Zhang, Matthew D. Piggott   +3 more
openaire   +1 more source

Drones in hydraulics [PDF]

, 2019
Biggs, Hamish
core  

Jaugeages LSPIV lors de la crue du 17/10/2024

Ce rapport présente brièvement les résultats de jaugeages vidéo obtenus suite à l’évènement cévenol qui a frappé plusieurs départements (07, 42, 43) le 17/10/2024 avec des intensités de pluie exceptionnelles et des dégâts considérables. Quatre vidéos ont été exploitées et complétées par des mesures de topographie et des post-traitements adaptés.
openaire   +1 more source

Using SDP to optimize conjunctive use of surface and groundwater in China [PDF]

, 2014
Bauer-Gottwein, Peter, Davidsen, Claus, Liu, S., Mo, X, Rosbjerg, Dan   +4 more
core  

Neurovascular coupling and briefCO ₂ interrogate distinct vascular regulations

Tournissac M, Chaigneau E, Pfister S, Aydin A, Goulam Houssen Y, O’Herron P, Filosa J, Collot M, Joutel A, Charpak S.   +9 more
europepmc   +1 more source

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Stereo-imaging LSPIV (SI-LSPIV) for 3D water surface reconstruction and discharge measurement in mountain river flows

Journal of Hydrology, 2019
Abstract Large-Scale Particle Image Velocimetry (LSPIV) has been successfully applied for stream flow and flood measurements. In most LSPIV studies, the water surface has been approximated as a two-dimensional planar surface. Errors may arise due to this approximation for flows in steep channels and with complex riverbed topography, especially for ...
Qian Liao
exaly   +2 more sources

River surface target enhancement and background suppression for unseeded LSPIV

Flow Measurement and Instrumentation, 2013
Abstract Large-Scale Particle Image Velocimetry (LSPIV) is an image-based technique for nonintrusive streamflow monitoring, where the visibility of flow tracers is one of the main limitations to its application in field conditions. Based on the target characteristics of flow tracers as well as the optical environment of river surface, the paper ...
Tanghuai Fan, Lizhong Xu
exaly   +2 more sources

Application of LSPIV to measure supercritical flow in steep channels with low relative submergence

Flow Measurement and Instrumentation, 2020
Abstract Measuring flow discharge has always been one of the most important concerns of water experts. To measure discharge in streams using velocity-area method it is necessary to quantify average velocity of the flow. It is not feasible to measure velocity by contact approaches like current meters under certain conditions such as in flood periods ...
Josef Schneider
exaly   +2 more sources

Application of an automated LSPIV system in a mountainous stream for continuous flood flow measurements

Hydrological Processes, 2016
AbstractAn imaging‐based automated large‐scale particle image velocimetry (LSPIV) system for flash flood monitoring is developed and deployed in a mountainous stream in the Longchi Catchment, Chengdu, China. This system is built from a low‐cost Raspberry Pi board‐level computer with a camera module, which can acquire continuous images/videos ...
Qian Liao
exaly   +2 more sources

Using a 2D shallow water model to assess Large-Scale Particle Image Velocimetry (LSPIV) and Structure from Motion (SfM) techniques in a street-scale urban drainage physical model [PDF]

Journal of Hydrology, 2019
Versión aceptada de https://doi.org/10.1016/j.jhydrol.2019.05.003[Abstract:] Physically-based numerical modelling of surface processes in urban drainage, such as pollutant wash-off or the assessment of flood risks, requires appropriate calibration and ...
Juan Naves, José Anta, Jeronimo Puertas   +2 more
exaly   +3 more sources