RTK-based GNSS drifters for monitoring in estuaries and rivers: Field experimental results

Wang, Charles, Suara, Kabir, Brown, Richard, & Feng, Yanming (2016) RTK-based GNSS drifters for monitoring in estuaries and rivers: Field experimental results. In Proceedings of the 2016 International Technical Meeting of The Institute of Navigation, The Institute of Navigation, Monterey, California, pp. 1046-1054.

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Abstract

This paper presents a novel RTK-based GNSS Lagrangian drifter system that is capable of monitoring water velocity, turbulence and dispersion coefficients of river and estuarine. The Lagrangian drifters use the dual-frequency real time kinematic (RTK) technique for both position and velocity estimations. The capsule is designed to meet the requirements such as minimizing height, diameter, minimizing the direct wind drag, positive buoyancy for satellite signal reception and stability, and waterproof housing for electronic components, such as GNSS receiver and computing board. The collected GNSS data are processed with post-processing RTK software. Several experiments have been carried out in two rivers in Brisbane and Sunshine Coast in Queensland. Results show that the high accuracy GNSS-drifters can be used to measure dispersion coefficient resulting from sub-tidal velocity fluctuations in shallow tidal water. In addition, the RTK-GNSS drifters respond well to vertical motion and thus could be applicable to flood monitoring.

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ID Code: 94740
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: Global Satellite Navigation Systems, Lagrangian drifter, dispersion coefficients, Real Time Kinematic, Fluid mechanics
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > GEOMATIC ENGINEERING (090900) > Geodesy (090902)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > GEOMATIC ENGINEERING (090900) > Geospatial Information Systems (090903)
Divisions: Current > Schools > School of Chemistry, Physics & Mechanical Engineering
Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Funding:
Copyright Owner: Copyright 2016 The Institute of Navigation
Deposited On: 12 Apr 2016 01:53
Last Modified: 13 Apr 2016 05:21

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