Abstract
The U.S. Geological Survey is actively investigating remote sensing of surface velocity and river discharge (discharge) from satellite-, high altitude-, small, unmanned aircraft systems- (sUAS or drone), and permanent (fixed) deployments. This initiative is important in ungaged basins and river reaches that lack the infrastructure to deploy conventional streamgaging equipment. By coupling alternative discharge algorithms with sensors capable of measuring surface velocity, streamgage networks can be established in regions where data collection was previously impractical or impossible. To differentiate from satellite or high-altitude platforms, near-field remote sensing is conducted from sUAS or fixed platforms. QCam is a Doppler (velocity) radar mounted and integrated on a 3DR© Solo sUAS. It measures the along-track surface velocity by spot dwelling in a river cross section at a vertical where the maximum surface velocity is recorded. The surface velocity is translated to a mean-channel (mean) velocity using the probability concept (PC), and discharge is computed using the PC-derived mean velocity and cross-sectional area. Factors including surface-scatterer quality, flight altitude, propwash, wind drift, and sample duration may affect the radar-returns and the subsequent computation of mean velocity and river discharge. To evaluate the extensibility of the method, five science flights were conducted on four rivers of varying size and dynamics and included the Arkansas River, Colorado (CO), USA (two events); Salcha River near Salchaket, Alaska (AK), USA; South Platte River, CO, USA; and the Tanana River, AK, USA. QCam surface velocities and river discharges were compared to conventional streamgaging methods, which represented truth. QCam surface velocities for the Arkansas River, Salcha River, South Platte River, and Tanana River were 1.02 meters per second (m/s) and 1.43 m/s; 1.58 m/s; 0.90 m/s; and 2.17 m/s, respectively. QCam discharges (and percent differences) were 9.48 (0.3%) and 20.3 cubic meters per second (m3/s) (2.5%); 62.1 m3/s (−10.4%); 3.42 m3/s (7.3%), and 1579 m3/s (−18.8%). QCam results compare favorably with conventional streamgaging and are a viable near-field remote sensing technology that can be operationalized to deliver real-time surface velocity, mean velocity, and river discharge, if cross-sectional area is available.
Highlights
River discharge is an important component of the water cycle, and an accurate accounting can be accomplished by monitoring the spatial and temporal variations in discharge
The results indicated that velocity and stage-radar gages can produce continuous time series of mean velocity, stage, and discharges that (1) compare favorably to stage-discharge ratings and (2) can be computed in the absence of historical data [60]
QCam was developed by the U.S Geological Survey (USGS) and Sommer Messtechnik and is a miniaturized coherent, continuous-wave (CCW) Doppler radar that operates at 24 gigahertz (GHz)
Summary
River discharge (discharge or streamflow) is an important component of the water cycle, and an accurate accounting can be accomplished by monitoring the spatial and temporal variations in discharge These variations inform decision makers on water-resource related issues, given two-fifths of the global rainfall that occurs over land is routed by rivers to the ocean [1]. 80,000 discharge measurements are made annually to create or maintain rating curves that relate a stage (water level) to a discharge (stage-discharge rating). These data are used by various end users for water resources planning, forecasting, and early warning networks for floods and droughts [3]
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