Performance of an Unmanned Aerial Vehicle (UAV) in Calculating the Flood Peak Discharge of Ephemeral Rivers Combined with the Incipient Motion of Moving Stones in Arid Ungauged Regions

Ephemeral rivers are vital to ecosystem balance and human activities as essential surface runoff, while convenient and effective ways of calculating the peak discharge of ephemeral rivers are scarce, especially in ungauged areas. In this study, a new method was proposed using an unmanned aerial vehicle (UAV) combined with the incipient motion of stones to calculate the peak discharge of ephemeral rivers in northwestern China, a typical arid ungauged region. Two field surveys were conducted in dry seasons of 2017 and 2018. Both the logarithmic and the exponential velocity distribution methods were examined when estimating critical initial velocities of moving stones. Results reveal that centimeter-level orthoimages derived from UAV data can demonstrate the movement of stones in the ephemeral river channel throughout one year. Validations with peak discharge through downstream culverts confirmed the effectiveness of the method. The exponential velocity distribution method performs better than the logarithmic method regardless of the amount of water through the two channels. The proposed method performs best in the combination of the exponential method and the river channel with evident flooding (>20 m3/s), with the relative accuracy within 10%. In contrast, in the river channel with a little flow (around 1 m3/s), the accuracies are weak because of the limited number of small moving stones found due to the current resolution of UAV data. The poor performance in the river channel with a little flow could further be improved by identifying smaller moving stones, especially using UAV data with better spatial resolution. The presented method is easy and flexible to apply with appropriate accuracy. It also has great potential for extensive applications in obtaining runoff information of ephemeral rivers in ungauged regions, especially with the quick advance of UAV technology.

[1]  Zhi Li,et al.  Water resource formation and conversion and water security in arid region of Northwest China , 2016, Journal of Geographical Sciences.

[2]  Andrea Buffagni,et al.  Non-perennial Mediterranean rivers in Europe: Status, pressures, and challenges for research and management. , 2017, The Science of the total environment.

[3]  P. McIntyre,et al.  Global threats to human water security and river biodiversity , 2010, Nature.

[4]  Faisal Hossain,et al.  An intercomparison of remote sensing river discharge estimation algorithms from measurements of river height, width, and slope , 2016 .

[5]  Chris Kilsby,et al.  Daily discharge estimation at ungauged river sites using remote sensing , 2014 .

[6]  C. Leigh,et al.  Ecological research and management of intermittent rivers: An historical review and future directions , 2016 .

[7]  A. Tamminga,et al.  UAS‐based remote sensing of fluvial change following an extreme flood event , 2015 .

[8]  P. Llorens,et al.  Validating alternative methodologies to estimate the regime of temporary rivers when flow data are unavailable. , 2016, The Science of the total environment.

[9]  David J. Cohen,et al.  Outburst flood at 1920 BCE supports historicity of China’s Great Flood and the Xia dynasty , 2016, Science.

[10]  Pablo J. Zarco-Tejada,et al.  Tree height quantification using very high resolution imagery acquired from an unmanned aerial vehicle (UAV) and automatic 3D photo-reconstruction methods , 2014 .

[11]  Shusen Wang,et al.  Estimating Snow Mass and Peak River Flows for the Mackenzie River Basin Using GRACE Satellite Observations , 2017, Remote. Sens..

[12]  Ralph W. Powell.  The Origin of Manning's Formula , 1968 .

[13]  David G. Lowe,et al.  Distinctive Image Features from Scale-Invariant Keypoints , 2004, International Journal of Computer Vision.

[14]  A. Recking,et al.  Theoretical development on the effects of changing flow hydraulics on incipient bed load motion , 2009 .

[15]  J. S. R. Murthy,et al.  Streamflow routing in the indian arid zone , 1994 .

[16]  J. Bai,et al.  Increasing Winter Precipitation over Arid Central Asia under Global Warming , 2016 .

[17]  Andrea Buffagni,et al.  A novel approach to analysing the regimes of temporary streams in relation to their controls on the composition and structure of aquatic biota , 2012 .

[18]  Ourania Tzoraki,et al.  The Hydrological Status Concept: Application at a Temporary River (Candelaro, Italy) , 2015 .

[19]  Jilili Abuduwaili,et al.  Geochemical Responses to Anthropogenic and Natural Influences in Ebinur Lake Sediments of Arid Northwest China , 2016, PloS one.

[20]  M. Yalin,et al.  Inception of Sediment Transport , 1979 .

[21]  Luca Brocca,et al.  River Discharge Estimation by Using Altimetry Data and Simplified Flood Routing Modeling , 2013, Remote. Sens..

[22]  K. Cook.  An evaluation of the effectiveness of low-cost UAVs and structure from motion for geomorphic change detection , 2017 .

[23]  Joanna E. Bullard,et al.  Establishing Stage‐Discharge Relationships in Multiple‐Channelled, Ephemeral Rivers: a Case Study of the Diamantina River, Australia , 2007 .

[24]  Hoshin V. Gupta,et al.  Use of the continuous slope-area method to estimate runoff in a network of ephemeral channels, southeast Arizona, USA , 2012 .

[25]  Yang Hong,et al.  Discharge estimation in high-mountain regions with improved methods using multisource remote sensing: A case study of the Upper Brahmaputra River , 2018, Remote Sensing of Environment.

[26]  D. Montgomery,et al.  A systematic analysis of eight decades of incipient motion studies, with special reference to gravel‐bedded rivers , 1997 .

[27]  Lei Wang,et al.  Estimating continental river basin discharges using multiple remote sensing data sets , 2016 .

[28]  Ashish Kumar,et al.  Incipient Motion for Gravel Particles in Cohesionless Sediment Mixtures , 2018, Iranian Journal of Science and Technology, Transactions of Civil Engineering.

[29]  Russell G. Congalton,et al.  Evaluating the potential for measuring river discharge from space , 2003 .

[30]  Marian Muste,et al.  Technical Note: Monitoring of unsteady open channel flows using the continuous slope-area method , 2016 .

[31]  Chris Kilsby,et al.  Using satellite altimetry data to augment flow estimation techniques on the Mekong River , 2010 .

[32]  C. Gleason,et al.  Retrieval of river discharge solely from satellite imagery and at‐many‐stations hydraulic geometry: Sensitivity to river form and optimization parameters , 2014 .

[33]  Michael C. Quick,et al.  Reliability of flood discharge estimates , 1991 .

[34]  Pilar Llorens,et al.  Hydrological processes and their seasonal controls in a small Mediterranean mountain catchment in the Pyrenees , 2002 .

[35]  Birutė Ruzgienė,et al.  The surface modelling based on UAV Photogrammetry and qualitative estimation , 2015 .

[36]  Steven M. De Jong,et al.  Monitoring river morphology & bank erosion using UAV imagery - A case study of the river Buëch, Hautes-Alpes, France , 2018, Int. J. Appl. Earth Obs. Geoinformation.

[37]  Klement Tockner,et al.  Emerging concepts in temporary‐river ecology , 2010 .

[38]  Subhasish Dey,et al.  Review Article: Advances in modeling of bed particle entrainment sheared by turbulent flow , 2018, Physics of Fluids.

[39]  Clara Mendoza-Lera,et al.  Simulating rewetting events in intermittent rivers and ephemeral streams: A global analysis of leached nutrients and organic matter , 2019, Global change biology.

[40]  Pilar Llorens,et al.  Hydrological functioning of mediterranean mountain basins in Vallcebre, Catalonia: Some challenges for hydrological modelling , 1997 .

[41]  T. Marutani,et al.  Characteristics of Past Flood Behavior Reconstructed from Botanical Evidence in a Mountain Gorge River System , 2010 .

[42]  S. Lawrence Dingman,et al.  Comparison of constitutive flow resistance equations based on the Manning and Chezy equations applied to natural rivers , 2005 .

[43]  Mun-Ju Shin,et al.  Estimation of Peak Flow in Ungauged Catchments Using the Relationship between Runoff Coefficient and Curve Number , 2018, Water.

[44]  Chengdong Zhang,et al.  Calculating e-flow using UAV and ground monitoring , 2017 .

[45]  Ehab A. Meselhe,et al.  Laboratory measurements of flow through culverts , 2007 .

[46]  Daryl B. Simons,et al.  Flow Resistance in Cobble and Boulder Riverbeds , 1979 .

[47]  Arko Lucieer,et al.  Direct Georeferencing of Ultrahigh-Resolution UAV Imagery , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[48]  Ge Yu,et al.  Sedimentary records of large Holocene floods from the middle reaches of the Yellow River, China , 2000 .

[49]  V. Singh,et al.  Mathematical Modeling of Watershed Hydrology , 2002 .