posted on 2018-03-15, 23:32authored bystefania.grimaldi@monash.edu, yuan.li2@monash.du, jeff.walker@monash.edu, valentijn.pauwels@monash.edu
<p>This database
includes bathymetric data of the Clarence River (NSW, Australia). The upstream
location is Copmanhurst (29° 35’ 52” S; 152° 47’ 41” E); the downstream
location is Mountain View (29° 36’ 57” S; 152° 51’ 35” E).</p><p>The field survey was completed in November 2015 by Monash Univeristy
using a SonTek M9 HydroSurveyor Acoustic Doppler Profiler mounted on a kayak.
The M9 has built-in compensation for pitch and roll, and an integrated
Differential Global Positioning System (DGPS) with a
horizontal accuracy of 1 m or less. Vertical profiles of salinity, temperature
and pressure were sampled using the Sontek CastAway and interpolated in space
and time using HydroSurveyor software in order to achieve a full sound speed
compensation of depth data and thus a 0.02 m depth accuracy. </p><p>XYD_soundings.asc --> Easting, Northing, and water depth measurements.
Projection: GDA94, zone 56. Depth in meters. Full sound speed compensation of depth data was
achieved by interpolating the vertical profiles of salinity, temperature and
pressure sampled using the Sontek CastAway. </p><p>Sonar depths were converted to bed elevations and tied to the Australian
Height Datum (AHD) using a planar water surface level fitted to water elevation
records registered at Lilydale (Australian Bureau of Meteorology), Rogan Bridge
and Grafton (New South Wales Manly Hydraulics Laboratory). Several interpolation methods have been proposed in literature. This database provides the outcome of a custom
interpolation method based on a local along-thalweg curvilinear coordinate
system. Errors
in the bathymetric grid are difficult to quantify and this interpolated database has the purpose to provide a possible, yet realistic 3-dimensional representation of the river reach.</p><p>XYZ_Interpolation_example.asc --> Easting, Northing, Elevation of
interpolated points. Projection: GDA94 zone 56. Datum: Australian Height Datum
(AHD).</p><p>Data collection and data processing protocols are described in the paper
"Effective representation of river geometry in hydraulic flood forecast
models" (S.Grimaldi, Y. Li, J.P.Walker, V.R.N. Pauwels) submitted for
publication to Water Resources Research. </p><p>
<br></p><p>REFERENCES</p><p>When using this database, please cite the database as "S.Grimaldi,
Y.Li, J.P. Walker, V.R.N. Pauwels. Monash University (2017). <i>Bathymetric
survey of the Upper Clarence. </i>DOI: 10.4225/03/5a20708405ecd" and the
paper.</p><p>
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Funding
This project was funded through the Bushfire and Natural Hazards Collaborative Research Centre grant “Improving flood forecast skill using remote sensing data”, and through the Monash Faculty of Engineering seed grants “Optimization of a hydraulic model using a Doppler profiler” and “Strategic high-resolution monitoring of streams to improve operational flood forecasts”. Valentijn Pauwels is funded through the Australian Research Council Future Fellowship grant FT130100545.