UAVs for Hydrologic Scopes: Application of a Low-Cost UAV to Estimate Surface Water Velocity by Using Three Different Image-Based Methods

Stream velocity and flow are very important parameters that must be measured accurately to develop effective water resource management plans. There are various methods and tools to measure the velocity but, nowadays, image-based methods are a promising alternative that does not require physical contact with the water body. The current study describes the application of a low cost unmanned aerial vehicle that was selected in order to capture a video over a specific reach of Aggitis River in Greece. The captured frames were analyzed by three different software (PIVlab, PTVlab, and KU-STIV) in order to estimate accurately the surface water velocity. These three software also represent three different image-based methodologies. Although there are differences among these three methods, the analysis produced similar trends for all. The velocity ranged between 0.02 and 3.98 m/s for PIVlab, 0.12 and 3.44 m/s for PTVlab, and 0.04 and 3.99 m/s for KU-STIV software. There were parts, especially in the existing vegetation, where differences were observed. Further applications will be examined in the same or different reaches, to study the parameters affecting the analysis. Finally, the image-based methods will be coupled with verification measurements by a current meter to produce more rigorous results.

[1]  H. Middelkoop,et al.  Floodplain sedimentation: Quantities, patterns and processes , 1995 .

[2]  Maurizio Porfiri,et al.  Surface flow measurements from drones , 2016 .

[3]  F. Nex,et al.  UAV for 3D mapping applications: a review , 2014 .

[4]  M. Cavalli,et al.  Exploiting LSPIV to assess debris-flow velocities in the field , 2017 .

[5]  Jérôme Le Coz,et al.  Advantages of a mobile LSPIV method for measuring flood discharges and improving stage–discharge curves , 2011 .

[6]  Valasia Iakovoglou,et al.  Riparian Areas of Greece: Their Definition and Characteristics , 2010 .

[7]  I. Fujita Discharge Measurements of Snowmelt Flood by Space-Time Image Velocimetry during the Night Using Far-Infrared Camera , 2017 .

[8]  Peter Bauer-Gottwein,et al.  Estimating resource costs of compliance with EU WFD ecological status requirements at the river basin scale , 2011 .

[9]  S. Kaiser,et al.  Multi-pulse shadowgraphic RGB illumination and detection for flow tracking , 2018 .

[10]  Andrea Petroselli,et al.  Assessment of drone-based surface flow observations , 2016 .

[11]  Roger Clarke,et al.  The regulation of civilian drones' impacts on public safety , 2014, Comput. Law Secur. Rev..

[12]  Jérôme Le Coz,et al.  Crowdsourced data for flood hydrology: Feedback from recent citizen science projects in Argentina, France and New Zealand , 2016 .

[13]  C. Young,et al.  Application of an Automated Discharge Imaging System and LSPIV during Typhoon Events in Taiwan , 2018 .

[14]  Theodore A. Endreny,et al.  Characterization of Terrestrial Discharges into Coastal Waters with Thermal Imagery from a Hierarchical Monitoring Program , 2017 .

[15]  Ourania Tzoraki,et al.  A generalized framework for modeling the hydrologic and biogeochemical response of a Mediterranean temporary river basin , 2007 .

[16]  Ichiro Fujita,et al.  Development of a non‐intrusive and efficient flow monitoring technique: The space‐time image velocimetry (STIV) , 2007 .

[17]  S. Manfreda,et al.  Exploring the optimal experimental setup for surface flow velocity measurements using PTV , 2018, Environmental Monitoring and Assessment.

[18]  Koji Shiono,et al.  Discharge estimation in small irregular river using LSPIV , 2010 .

[19]  Q. Liao,et al.  Application of an automated LSPIV system in a mountainous stream for continuous flood flow measurements , 2016 .

[20]  Antoine Patalano,et al.  Use of LSPIV in assessing urban flash flood vulnerability , 2017, Natural Hazards.

[21]  Ichiro Fujita,et al.  Application of aerial LSPIV to the 2002 flood of the Yodo River using a helicopter mounted high density video camera , 2011 .

[22]  Xingkui Wang,et al.  Large-scale particle tracking velocimetry with multi-channel CCD cameras , 2013 .

[23]  Alexandre Hauet,et al.  Sensitivity study of large-scale particle image velocimetry measurement of river discharge using numerical simulation , 2008 .

[24]  Flavia Tauro,et al.  Streamflow Observations From Cameras: Large‐Scale Particle Image Velocimetry or Particle Tracking Velocimetry? , 2017 .

[25]  C. Doulgeris,et al.  Ecosystem approach to water resources management using the MIKE 11 modeling system in the Strymonas River and Lake Kerkini. , 2012, Journal of environmental management.

[26]  William J. Plant,et al.  measuring stream discharge by non‐contact methods: A Proof‐of‐Concept Experiment , 2000 .

[27]  Witold F. Krajewski,et al.  Stream discharge using mobile large‐scale particle image velocimetry: A proof of concept , 2008 .

[28]  Iehisa Nezu,et al.  PIV and PTV measurements in hydro-sciences with focus on turbulent open-channel flows , 2011 .

[29]  C. Pennos,et al.  GEOMORPHIC CONSTRAINS ON THE EVOLUTION OF THE AGGITIS RIVER BASIN NORTHERN GREECE (A PRELIMINARY REPORT) , 2017 .

[30]  I. Grant Particle image velocimetry: A review , 1997 .

[31]  J. Józsa,et al.  Particle tracking velocimetry (PTV) and its application to analyse free surface flows in laboratory scale models , 2008 .

[32]  The Aggitis karst system, Eastern Macedonia, Greece : Hydrologic functioning and development of the karst structure , 2007 .

[33]  Gonzalo Pajares,et al.  Overview and Current Status of Remote Sensing Applications Based on Unmanned Aerial Vehicles (UAVs) , 2015 .

[34]  Piergiorgio Manciola,et al.  Water Level Measurements from Drones: A Pilot Case Study at a Dam Site , 2018 .

[35]  G. Zaimes,et al.  Sustainable Management of the Freshwater Resources o f Greece , 2012 .

[36]  R. Kolka,et al.  Defining perennial, intermittent and ephemeral channels in eastern Kentucky: application to forestry best management practices , 2005 .

[37]  I. Fujita,et al.  SPATIAL MEASUREMENTS OF SNOWMELT FLOOD BY IMAGE ANALYSIS WITH MULTIPLE-ANGLE IMAGES AND RADIO-CONTROLLED ADCP , 2017 .

[38]  Frederick J. Swanson,et al.  Effects of Roads on Hydrology, Geomorphology, and Disturbance Patches in Stream Networks , 2000 .

[39]  Witold F. Krajewski,et al.  Experimental System for Real-Time Discharge Estimation Using an Image-Based Method , 2008 .

[40]  Christian Haas,et al.  RAPTOR‐UAV: Real‐time particle tracking in rivers using an unmanned aerial vehicle , 2017 .

[41]  Bruce L. Rhoads,et al.  Resolving two‐dimensional flow structure in rivers using large‐scale particle image velocimetry: An example from a stream confluence , 2015 .

[42]  Peter Stansby,et al.  Unsteady surface-velocity field measurement using particle tracking velocimetry , 1995 .

[43]  T. Kjeldsen,et al.  Flood generation and classification of a semi-arid intermittent flow watershed: Evrotas river , 2013 .

[44]  R. Adrian Twenty years of particle image velocimetry , 2005 .

[45]  Andrea Petroselli,et al.  Optical sensing for stream flow observations: a review , 2018 .

[46]  S. Wereley,et al.  PIV measurements of a microchannel flow , 1999 .

[47]  Guowei Cai,et al.  A Survey of Small-Scale Unmanned Aerial Vehicles: Recent Advances and Future Development Trends , 2014 .

[48]  B. Merz,et al.  Is flow velocity a significant parameter in flood damage modelling , 2009 .

[49]  Maurizio Porfiri,et al.  Large-Scale Particle Image Velocimetry From an Unmanned Aerial Vehicle , 2015, IEEE/ASME Transactions on Mechatronics.

[50]  William Thielicke,et al.  PIVlab – Towards User-friendly, Affordable and Accurate Digital Particle Image Velocimetry in MATLAB , 2014 .

[51]  J. Westerweel Fundamentals of digital particle image velocimetry , 1997 .

[52]  G. Kallis,et al.  The EU water framework directive: measures and implications , 2001 .

[53]  R. Tsubaki On the Texture Angle Detection Used in Space‐Time Image Velocimetry (STIV) , 2017 .

[54]  Cristiana Di Cristo,et al.  Particle Imaging Velocimetry and Its Applications in Hydraulics: A State-of-the-Art Review , 2011 .

[55]  R. Death,et al.  A review of the consequences of decreased flow for instream habitat and macroinvertebrates , 2007, Journal of the North American Benthological Society.

[56]  Paul R. Ehrlich,et al.  Human Appropriation of Renewable Fresh Water , 1996, Science.

[57]  I. Fujita,et al.  Capabilities of Large-scale Particle Image Velocimetry to characterize shallow free-surface flows , 2014 .

[58]  R. Sparks,et al.  THE NATURAL FLOW REGIME. A PARADIGM FOR RIVER CONSERVATION AND RESTORATION , 1997 .

[59]  Alban Kuriqi,et al.  Investigation of hydraulic regime at middle part of the Loire River in context of floods and low flow events , 2018 .

[60]  Volker Weitbrecht,et al.  A low-cost airborne velocimetry system: proof of concept , 2015 .