Using Alternatives to Determine the Shallowest Depth for Bathymetric Charting

Case Study

Journal Article (2019)
Author(s)

Tannaz H. Mohammadloo (TU Delft - Aircraft Noise and Climate Effects)

Mirjam Snellen (TU Delft - Aircraft Noise and Climate Effects)

D.G. Simons (TU Delft - Aircraft Noise and Climate Effects)

Ben Dierikx (Ministry of Infrastructure and the Environment)

Simon Bicknese (Ministry of Infrastructure and the Environment)

Research Group
Aircraft Noise and Climate Effects
Copyright
© 2019 Tannaz H. Mohammadloo, M. Snellen, D.G. Simons, Ben Dierikx, Simon Bicknese
DOI related publication
https://doi.org/10.1061/(ASCE)SU.1943-5428.0000278
More Info
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Publication Year
2019
Language
English
Copyright
© 2019 Tannaz H. Mohammadloo, M. Snellen, D.G. Simons, Ben Dierikx, Simon Bicknese
Research Group
Aircraft Noise and Climate Effects
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. @en
Issue number
4
Volume number
145
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Abstract

Methods for gridding multibeam echo sounder (MBES) measurements to equidistant grids are proposed as alternatives to the shallowest measured depth, which is affected by outliers. The approaches considered use a combination of mean and standard deviation of soundings and the regression coefficient from the best fitted plane. These methods along with mean and shallowest depths were applied to two surveyed areas. Two issues were found to be of importance, that is, a proper distribution of soundings and low uncertainties in the depth measurements. Improper sampling excludes using the method employing regression coefficients. For flat areas, the shallowest measured depth was found to be highly influenced by measurement uncertainties, counteracted when using the mean depth. However, the mean depth underestimates the shallowest depth for areas with slopes. When correcting the mean depth for standard deviation, the effect of slopes is accounted for while the influence of measurement uncertainties is decreased compared to shallowest measured depth. Since the uncertainties are dependent on beam angle, depth, and measurement equipment, these issues need to be accounted for in survey planning.

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