On Risk-Based Expression of Hydrographic Uncertainty

References

• Beaudoin, J., B. Calder, J. Hiebert, and G. Imahori, 2009, November. Estimation of sounding uncertainty from measurements of water mass variability. International Hydrographic Review 2:20–38.
   Google Scholar
• Beaulieu, C., S. Gharbi, T. B. M. J. Ouarda, and O. Seidou, 2009, May/June. Statistical approach to model the deep draft ships squat in the st. lawrence waterway. Journal of Waterway, Port, Coastal, and Ocean Engineering 135(3):80–90.
   Web of Science ®Google Scholar
• Beck, R. F., J. N. Newman, and E. O. Tuck, 1975, September. Hydrodynamic forces on ships in dredged channels. Journal of Ship Research 19(3):166–171.
   Google Scholar
• Bitner-Gregersen, E. M. and R. Skjong, 2009. Concept for a risk based navigation decision assistant. Marine Structures 22:275–286.
   Web of Science ®Google Scholar
• Brennan, R. T. 2005, December. An uncertainty model for the tidal constituent and residual interpolation (tcari) method of water level correction. Master's thesis, University of New Hampshire, CCOM/JHC, Durham NH.
   Google Scholar
• Briggs, M. J. and L. Daggett, 2009, August. Ankudinov ship squat predictions- part ii: Laboratory and field comparisons and validations. Tech. Note ERDC/CHL CHETN-IX-20, US Army Corp of Engineers, Engineering Research and Development Center, Vicksburg, MS.
   Google Scholar
• Calder, B. R. 2006, April. On the uncertainty of archive hydrographic data sets. IEEE Journal of Ocean Engineering 31(2):249–265.
   Web of Science ®Google Scholar
• Calder, B. R., S. Byrne, B. Lamey, R. T. Brennan, J. D. Case, D. Fabre, B. Gallagher, R. W. Ladner, F. Moggert, and M. Paton, 2005. The open navigation surface project. International Hydrographic Review 6(2):9–18.
   Google Scholar
• Calder, B. R. and L. A. Mayer, 2003. Automatic processing of high-rate, high-density multibeam echosounder data. Geochem., Geophys. and Geosystems (G3) DID 10.1029/2002GC000486 4(6).
   Google Scholar
• Calder, B. R. and K. Schwehr, 2009. Traffic analysis for the calibration of risk assessment methods. In Proceedings U.S. Hydrographic Conference, The Hydrographic Society of America, Norfolk, VA.
   Google Scholar
• Cartwright, D. E. and M. S. Longuet-Higgins, 1956. The statistical distribution of the maxima of a random function. Proceedings of the Royal Society of London. Series A, Mathematical and Physical Sciences 237(1209):212–232.
   Web of Science ®Google Scholar
• Cleveland, W. S. 1979. Robust locally weighted regression and smoothing scatterplots. Journal of American Statistical Society 74(368):829–836.
   Web of Science ®Google Scholar
• Coast and Geodetic Survey 1942. Hydrographic Manual. U.S. Department of Commerce. Special Publication 143.
   Google Scholar
• Cressie, N. A. C. 1993. Statistics for spatial data. New York: Wiley.
   Google Scholar
• Debese, N., R. Moitié, and N. Seube, 2012, September. Multibeam echosounder data cleaning through a hierarchic adapative and robust local surfacing. Computers and Geosciences 46:330–339.
   Web of Science ®Google Scholar
• Dorst, L. L. 2004. Survey plan improvement by detecting sea floor dynamics in arrchived echosounder surveys. International Hydrographic Review 5(2):49–63.
   Google Scholar
• Dorst, L. L., P. C. Roos, and S. J. M. H. Hulscher, 2011, July. Spatial differences in sand wave dynamics between the Amsterdam and the Rotterdam region in the Southern North Sea. Continental Shelf Research 31(10):1096–1105.
   Web of Science ®Google Scholar
• Gentle, J. E. 1998. Random number generation and monte carlo methods. New York: Springer-Verlag.
   Google Scholar
• Goff, J. A., C. Jenkins, and B. Calder, 2006. Maximum a posteriori resampling of noisy, spatially correlated data. Geochemistry, Geophysics, Geosystems (G3) 7(8):Q08003. doi:10.1029/2006GC001297.
   Google Scholar
• Gourlay, T. P. 2007, July. Ship underkeel clearance in waves. In Proceedings Coasts and Ports, Melbourne, Australia.
   Google Scholar
• Gourlay, T. P. 2011. A brief history of mathematical ship-squat prediction, focussing on the contributions of E. O. Tuck. Journal of Engineering Materials and Technology 70(1–3):5–16.
   Google Scholar
• Gucma, L. and M. Schoeneich, 2007. Probabilistic model of underkeel clearance in decision making process of port captain. In Proceedings 7th International Symposium on Navigation, Gydnia, Poland.
   Google Scholar
• Hammersley, J. M. and D. C. Handscomb, 1964. Monte Carlo Methods. New York: Methuen.
   Google Scholar
• Hare, R., B. Eakins, and C. Amante, 2011, November. Modelling bathymetric uncertainty. International Hydrographic Review 6:31–42.
   Google Scholar
• Hess, K., R. Schmalz, C. Zervas, and W. Collier, 2004. Tidal constituent and residual interpolation (tcari): A new method for the tidal correction of bathymetric data. Technical Report NOS CS4, National Oceanic and Atmospheric Administation, National Ocean Service.
   Google Scholar
• Horvei, B. 2008. Seabed image processing and data cleaning of the em3002 common data set. In Proceedings 5th International Conference on High Resolution Survey in Shallow Water, Portsmouth, NH. Center for Coastal and Ocean Mapping and NOAA/UNH Joint Hydrographic Center.
   Google Scholar
• International Hydrographic Bureau 2008. IHO standards for hydrographic surveys, 5th ed. Technical Report S-44, International Hydrographic Bureau, Monaco.
   Google Scholar
• International Organisation for Standardization 1995. Guide to the expression of uncertainty in measurements. Technical report, ISO, Geneva. ISBN 92-67-10188-9.
   Google Scholar
• Johnson, P. 2004. On the application of zones of confidence in the Australian hydrographic service. In Proceedings Canadian Hydrographic Conference 2004. Canadian Hydrographic Society, Ottawa, Canada.
   Google Scholar
• Lusk, B. M. 2009, May. Grounding of the Queen Elizabeth 2. Hydro International 13(4):33–35.
   Google Scholar
• Mayer, L., R. Raymond, G. Glang, M. Richardson, P. Traykovski, and A. Trembanis, 2007. High resolution mapping of the mines and ripples at the Martha's Vinyard Coastal Observatory. IEEE Journal of Ocean Engineering 32:133–149.
   Web of Science ®Google Scholar
• Mitchell, K. N. 2010, June. Robust portfolio management of the national waterways infrastructure. In Transforming the marine transportation system: A vision for research and development. Transportation Research Board of the National Academies.
   Google Scholar
• Mobley, C. D. 2004. Light and water: Radiative transfer in neutral waters, Chapter 3. New York: Academic Press, pp. 60–144.
   Google Scholar
• Nielsen, U. D., P. Friis-Hansen, and J. J. Jensen, 2009. A step towards risk-based decision support for ships—evaluation of limit states using parallel system analysis. Marine Structures 22:209–224.
   Web of Science ®Google Scholar
• NOAA Office of Coast Survey 2011. Hydrographic surveys specifications and deliverables. Technical report, National Oceanic and Atmospheric Administation, Silver Spring, MD.
   Google Scholar
• Ochi, M. K. 1973. On prediction of extreme values. Journal of Ship Research 17:29–37.
   Google Scholar
• Pentland, A. P. 1984. Factal-based description of natural scenes. IEEE PAMI 6(6):661–674.
   Google Scholar
• Perez, T. and T. I. Fossen, 2010. Marine systems simulator (MSS). www.marinecontrol.org
   Google Scholar
• Pérez y Pérez, L. 1974, March. A time-domain solution to the motion of a steered ship in waves. Journal of Ship Research 18(1):32–45.
   Google Scholar
• Perugini, N. 2009, July/August. Grounding of the Queen Elizabeth 2 (response). Hydro International 13(6):25–29.
   Google Scholar
• Preisendorfer, R. W. 1976. Hydrologic optics. Number 1 in NTIS PB-259 793/8ST. National Technical Information Service (NTIS), Springfield, VA: NTIS.
   Google Scholar
• Proakis, J. G. and D. K. Manolakis, 2006. Digital signal processing (4th ed.). Upper Saddle River, NJ: Prentice Hall.
   Google Scholar
• Raiffa, H. 1968. Decision analysis. Behavioral science: Quantitative methods. Reading, MA: Addison-Wesley.
   Google Scholar
• Raiffa, H. and R. Schlaifer, 2000. Applied statistical decision theory ( Wiley Classics Library ed.). New York: John Wiley and Sons, Inc.
   Google Scholar
• Schlax, M. G. and D. B. Chelton, 1992. Frequency domain diagnostics for linear smoothers. Journal of American Statistical Association 87(420):1070–1081.
   Web of Science ®Google Scholar
• Silver, A. L. and J. F. Dalzell, 1998, September. Risk-based decisions for entrance channel operation and design. International Journal Offshore and Polar Engineering 8(3):200–206.
   Google Scholar
• Soraruf, R. 2009, December. Geomorphologic inputs for the determination of hydrographic survey prioritization. Directed study, Center for Coastal and Ocean Mapping & NOAA/UNH Joint Hydrographic Center, CCOM/JHC, Durham NH.
   Google Scholar
• Tan, B. and E. N. Otay, 1999. Modeling and analysis of vessel casualities resulting from tanker traffic through narrow waterways. Naval Research Logistics 46(8):871–892.
   Web of Science ®Google Scholar
• Tuck, E. O. 1974, March. Unstable squat from lateral motion of ships in shallow water. Journal of Ship Research 18(1):50–55.
   Google Scholar
• Wells, D. 2004. Representing uncertainty on charts: The hydrographic crisis. Sea Technology 45(6).
   Web of Science ®Google Scholar
• Yazici, M. A. and E. N. Otay, 2009. A navigation safety support model for the strait of istanbul. The Journal of Navigation 62(4):609–630.
   Web of Science ®Google Scholar