APPLYING SIGNAL PROCESSING TECHNIQUES TO WATER LEVEL ANOMALY DETECTION

Carl Steidley, Richard Rush, David Thomas, Phillipe Tissot, Alex Sadovski, Ray Bachnak

Abstract

The Texas Coastal Ocean Observation Network (TCOON) consists of more than 50 data gathering stations located along the Texas Gulf coast from the Louisiana to Mexico borders. Data sampled at these stations include: precise water levels, wind speed and direction, atmospheric and water temperatures, barometric pressure, and water currents. The measurements collected at these stations are often used in legal proceedings such as littoral boundary determinations; therefore data are collected according to National Ocean Service standards. Some stations of TCOON collect parameters such as turbidity, salinity, and other water quality parameters. All data are transmitted back to Texas A&M University Corpus Christi (A&M-CC) at multiples of six minutes via line-of-sight packet radio, cellular phone, or GOES satellite, where they are then processed and stored in a real-time, web-enabled database. TCOON has been in operation since 1988. This paper describes a software project based upon signal processing techniques to be utilized with the TCOON meteorological database to detect spikes in water level. Water level readings are frequently victim to abnormal water levels caused by ship wakes, affected equipment scrambled by thunder, or corrupted by transmission errors. Since these water levels are the bases for a number of research calculations, such as, oil-spill response, navigation safety, environmental research, and recreation, it is essential to be able to make these water level data as correct and spike free as possible.

References

  1. Artur Krukowski, Izzet Kale: DSP System Design: Complexity Reduced Iir Filter Implementation for Practical Applications, Kluwer Academic Publishers, 2000.
  2. Michaud, P., R.S. Dannelly, and G. Jeffress, C. Steidley, “Real-Time Data Collection and the Texas Coastal Ocean Observation Network”, Proceedings of the Emerging Technologies Conference of the Instrumentation, Systems, and Automation Conference, CD-ROM Session ETCON19, September 2001.
  3. Sen M. Kuo, Woon-Seng Gan: Digital Signal Processors: Architectures, Implementations, and Applications, Prentice Hall, 2001.
  4. John Proakis, Dimitris Manolakis: Digital Signal Processing - Principles, Algorithms and Applications, Pearson, 2003.
  5. Sadovski, Alexey, Carl Steidley, Aimee Mostella, Phillipe Tissot, “Intergration of Regression and Harmonic Analysis to Predict Water Levels in Estuaries and Shallow Water of the Gulf of Mexico,” WSEAS Transactions on Systems, pp. 2686-2693, Vol. 3, Issue 8, October 2004.
  6. Bowles, Zack, Alexey Sadovski,Phillipe Tissot, Scott Duff, Patrick Michaud, Carl Steidley, "Engineered training sets: enhancing the learning power of artificial neural networks for water level forecasts", Proceedings of XIV International Symposium on Mathematical Methods Applied to the Sciences, pp 30-31, San Jose, Costa Rica, February 2004.
  7. Sadovski, Alexey L., Phillipe Tissot, Gary Jeffress, Carl Steidley, "Neural Network and Statistics-Based Systems for Predictions in Coastal Studies", Intelligent Engineering Systems Through Artificial Neural Networks, Volume 1, 3, pp 689-694, ASME Press, New York, 2003.
  8. Steidley, C., A. Sadovsky, R. Bachnak, and K. Torres, “Modeling Methods for Coastal Environmental Studies,” Proc. 19th International Conference on Computer Applications and Their Applications (CATA 2004), pp. 59-64, March18-20, 2004, Seattle, WA.
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Paper Citation


in Harvard Style

Steidley C., Rush R., Thomas D., Tissot P., Sadovski A. and Bachnak R. (2005). APPLYING SIGNAL PROCESSING TECHNIQUES TO WATER LEVEL ANOMALY DETECTION . In Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO, ISBN 972-8865-31-7, pages 303-309. DOI: 10.5220/0001152503030309


in Bibtex Style

@conference{icinco05,
author={Carl Steidley and Richard Rush and David Thomas and Phillipe Tissot and Alex Sadovski and Ray Bachnak},
title={APPLYING SIGNAL PROCESSING TECHNIQUES TO WATER LEVEL ANOMALY DETECTION},
booktitle={Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,},
year={2005},
pages={303-309},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001152503030309},
isbn={972-8865-31-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,
TI - APPLYING SIGNAL PROCESSING TECHNIQUES TO WATER LEVEL ANOMALY DETECTION
SN - 972-8865-31-7
AU - Steidley C.
AU - Rush R.
AU - Thomas D.
AU - Tissot P.
AU - Sadovski A.
AU - Bachnak R.
PY - 2005
SP - 303
EP - 309
DO - 10.5220/0001152503030309