A UHF RiverSonde system, operating near 350 MHz, has been in operation at Threemile Slough in central California, USA since September 2004. The water in the slough is dominated by tidal effects, with flow reversals four times a day and a peak velocity of about 0.8 m/s in each direction. Water level and water velocity are continually measured by the U. S. Geological Survey at the experiment site. The velocity is measured every 15 minutes by an ultrasonic velocity meter (UVM) which determines the water velocity from two-way acoustic propagation time-difference measurements made across the channel. The RiverSonde also measures surface velocity every 15 minutes using radar resonant backscatter techniques. Velocity and water level data are retrieved through a radio data link and a wideband internet connection. Over a period of several months, the radar-derived mean surface velocity has been very highly correlated with the UVM index velocity several meters below the surface, with a coefficient of determination R 2 of 0.976 and an RMS difference of less than 10 cm/s. The wind has a small but measurable effect on the velocities measured by both instruments. In addition to the mean surface velocity across the channel, the RiverSonde system provides an estimate of the cross-channel variation of the surface velocity.
[1]
Robert H. Stewart,et al.
HF radio measurements of surface currents
,
1974
.
[2]
S. E. Rantz,et al.
Measurement and computation of streamflow: Volume 1, Measurement of stage and discharge
,
1982
.
[3]
Donald E. Barrick,et al.
UHF riversonde observations of cowlitz river flow velocity at Castle Rock, Washington
,
2004,
IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.
[4]
S. Lentz,et al.
Classical tidal harmonic analysis including error estimates in MATLAB using T_TIDE
,
2002
.
[5]
John F. Vesecky,et al.
A comparison of multifrequency HF radar and ADCP measurements of near-surface currents during COPE-3
,
2001
.
[6]
R. O. Schmidt,et al.
Multiple emitter location and signal Parameter estimation
,
1986
.