Quantification of the measurement error associated with in situ measurements of water absorption and attenuation using the AC-9 instrument

Darton, Alex (2014) Quantification of the measurement error associated with in situ measurements of water absorption and attenuation using the AC-9 instrument. [USQ Project]

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Abstract

Remote sensing has become a major resource for the monitoring of the concentrations of suspended and dissolved particulates in a water body. Measurement of the characteristics of the water body being analysed is a
requirement to correctly calculate the concentrations of the particulates.

The Inherent Optical Properties of a water body are those characteristics that affect the path of a photon. They are caused by interaction of photons with dissolved and particulate matter. The properties that are of importance for measurements are absorption and attenuation with measurements carried out on water samples to quantify the effects these properties have on light within the sample. The measurement process, due to the effects of scattering contains errors when determining the coefficient of each property.

The aim of this project is to quantify the errors and determine the error drivers in the measurement of the IOPs with the WETLabs AC-9 resulting in a correction procedure. This will be carried out by evaluating a simulated dataset generated by an AC-9 instrument in SimulO.

The results of the simulation analysis found that for measurements of the attenuation coefficient the backscatter ratio and absorption formed the primary drivers of the error, with the backscatter ratio determined as the primary error driver. The absorption tube was determined to be a complex function of scattering, absorption and the backscatter ratio.

The correction method generated utilises a small amount of external data to determine the error factor for measured attenuation and absorption. The error factor is used to correct the measured coefficients to ‘true’ values.


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Item Type: USQ Project
Item Status: Live Archive
Additional Information: Bachelor of Spatial Science (Surveying) project
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Civil Engineering and Surveying
Supervisors: Campbell,Glenn
Date Deposited: 17 Aug 2015 05:47
Last Modified: 17 Aug 2015 23:57
Uncontrolled Keywords: remote Sensing, AC-9, in-situ measurement
Fields of Research : 09 Engineering > 0905 Civil Engineering > 090509 Water Resources Engineering
URI: http://eprints.usq.edu.au/id/eprint/27277

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