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Offshore Ocean Tide Data Collection
Introduction
The data collection in this program started in December 1992 at Tweed Heads
and is ongoing. The Offshore Tidal Data Collection Program provides
offshore water levels which are a measure of the ocean tide minimising
any effects of nearshore processes. The program is funded by the
Floodplain Management Program which was administered by the then NSW Public
Works until April 1995 when it was transferred to the Specialist Coastal
and Flood Services Section of the Department of Land and Water Conservation.
The program provides data that forms the offshore boundary conditions for
flood studies, as follows:
-
ocean tidal data, with minimal effects of nearshore influences, (such as
river flows, wave setup and attenuation/amplification due to shallow inshore
waters)
-
a measure of ocean tide anomalies (recorded tides that exceed or are less
than the predicted astronomical tides.)
The actual ocean tide levels are necessary to provide a consistent approach
to flood studies by defining the tailwater conditions. Tidal anomalies
which produce water levels higher than the predicted tides are of vital
importance to flood and coastal studies.
Instrumentation
MHL uses Anderaa water level recorders
for this project, which are high precision recording instruments for determining
water level in the open seas. The total pressure is measured by an
ultra precise quartz pressure sensor. The total pressure can then
be corrected for water density and atmospheric pressure to determine the
water level. The operation depth is limited by the range of the pressure
transducer.
The water level recorder is specially designed to measure ocean water
levels. Placed on seabeds, the instrument records pressure, temperature
and conductivity at regular intervals. The data is stored to reusable
solid state data storage unit (DSU). Five channels of 10 bits each
are recorded in sequence. The channels are reference (channel 1),
temperature (channel 2), pressure (most significant part, channel 3), pressure
(least significant part, channel 4), conductivity (channel 5).
Instrument Calibration
The calibration of the instruments prior to and following deployments is
carried out at MHL. The calibration coefficients of the Aanderaa's
are checked using the MHL dead weight tester (DWT) which applies a known
pressure to the sensor. The instrument is checked over a range of
pressures in accordance with the MHL QA procedures. If the deviation
of the instrument reading and the DWT is outside the accepted range then
a new set of coefficients is calculated.
Instrument Retrieval and Deployment
The instrument deployment is a specialised diving operation. This
activity is carried out by MHL divers using local boat and diving operators
as support. The retrieval and deployment routines have been developed
over the period of the program to the present standard. This involves
a single trip to the site to retrieve the existing instrument and deploy
the new instrument. Global positioning system (GPS) and tracklines
are used to locate the site prior to diving. Deployment check sheets
are used to record the details of the retrieval and deployments
Data Reduction
Generally temperature and conductivity data are available for the WLR7
deployments and density could be derived from these records. However
since this data represents only one value of density at the bottom of the
water column and since there is no such data for the WLR5 deployments a
single value for water density has been adopted for correcting the raw
data. The single standard adopted is 1023.74 kgm3 representing
a salinity of 35 psu and temperature of 25 Deg. C. This methodology
was considered appropriate for the data reduction and for the use of the
data in determining short-term events and storm surges as a consistent
water density is assumed during events.
Barometric pressure from the closest barograph station is used to correct
the raw data file for atmospheric pressure. Generally MHL barograph
stations were used for these corrections. Bureau of Meteorology data
from Coffs Harbour was used to correct the data until around July 1987
when MHL barometric data became available. There are many places
in the early datasets where processing was not possible due to gaps in
the BOM barometric data.
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