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Original Articles

Sea Level Change Analysis and Models Identification Based on Short Tidal Gauge Measurements in Alexandria, Egypt

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Pages 1-20 | Received 28 Dec 2014, Accepted 27 Nov 2015, Published online: 21 Mar 2016

References

  • Abdel-Hamid, W., A. Noureldin, and N. El-Sheimy. 2007. Adaptive fuzzy prediction of low-cost inertial-based positioning errors. IEEE Transactions on Fuzzy Systems 15(3):519–529.
  • Aly, M. H., J. R. Giardino, A. G. Klein, and H. A. Zebker. 2012. InSAR study of shoreline change along the damietta promontory, Egypt. Journal of Coastal Research 28(5):1263–1269.
  • Bloszies, C., and S. F. Forman. 2015. Potential relation between equatorial sea surface temperatures and historic water level variability for Lake Turkana, Kenya. Journal of Hydrology 520:489–501.
  • CCKP. 2014. Average Monthly Temperature and Rainfall for Egypt, Arab Republic from 1960–1990. http://sdwebx.worldbank.org/climateportal/index.cfm?page=country_historical_climate&ThisRegion=Africa&ThisCCode=EGY.
  • Consoli, S., D. Recupero, and V. Zavarella. 2014. A survey on tidal analysis and forecasting methods for tsunami detection. Science of Tsunami Hazards 33(1):1–56.
  • Cooper, J. A., and O. H. Pilkey. 2004. Sea-level rise and shoreline retreat: Time to abandon the Bruun Rule. Global and Planetary Change 43:157–171.
  • DATAQUA. 2004. Smartacu Recorder User Manual Version: F252, for DA-S-L(T)RB,PR,PRA types.
  • Eldessouki, M., and M. Hassan. 2015. Adaptive neuro-fuzzy system for quantitve evaluation of woven fabric, pilling resistance. Expert Systems with Applications 42:2098–2113.
  • El-Raey, M., K. R. Dewidar, and M. El-hattab. 1999. Adaptation to the impacts of sea level rise in Egypt. Mitigation and Adaptation Strategies for Global Change 4(3–4):343–361.
  • El-Shazly, A. H.. 2005. The Efficiency of neural networks to model and predict monthly mean sea level from short spans applied to Alexandria tide gauge. FIG Working Week 2005 and GSDI-8, Cairo, Egypt, April 16–21.
  • Erol, S.. 2011. Time-frequency analyses of tide-gauge sensor data. Sensors 11:3939–3961.
  • Ghoneim, E., J. Mashaly, D. Gamble, J. Halls, and M. AbuBakr. 2015. Nile delta exhibited a spatial reversal in the rates of shoreline retreat on the Rosetta promontory comparing pre- and post-beach protection. Geomorphology 228:1–14.
  • Hearn, C. J., and M. J. Atkinson. 2001. Effects of sea-level rise on the hydrodynamics of a coral reef lagoon: Kaneohe Bay, Hawaii. In Ocean and Atmosphere Pacific: OAP 95;sea-level changes and their effects, John Noye and Marcus Grzechnik. (Eds.), pp. 25–477.
  • Imani, M., R. J. You, and C. Y. Kuo. 2014. Caspian sea level prediction using satellite altimetry by artificial neural networks. Int J Environ Sci Technol 11:1035–1042.
  • IPCC. 2013. Climate change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Stocker, T. F., D. Qin, G. -K. Plattner, M. Tignor, S. K. Allen, J. Boschung, A. Nauels, Y. Xia, V. Bex and P. M. Midgley (eds.), Cambridge, England: University Press, Cambridge, p. 1535, available at http://www.climatechange2013.org/report/full-report.
  • Jang J. R. 1993. ANFIS: Adaptive-network-based fuzzy inference system. IEEE Transactions on Systems 23(3):665–685.
  • Karamouz, M., M. Kia, and S. Nazif. 2014. Prediction of sea level using a hybrid data-driven model: New challenges after Hurricane Sandy. Water Quality, Exposure Health 6:63–71.
  • Karimi, S., O. Kisi, J. Shiri, and O. Makarynskyy. 2013.Neuro-fuzzy and neural network techniques for forecasting sea level in Darwin Harbor, Australia. Computers & Geosciences 52:50–59.
  • Kermani, M. Z., and M. Teshnehlab. 2008. Using adaptive neuro-fuzzy inference system for hydrological time series prediction. Applied Soft Computing 8:928–936.
  • Kisi, O., S. Karimi, J. Shiri, O. Makarynskyy, and H. Yoon. 2014. Forecasting sea water levels at MukhoStation, South Korea using soft computing techniques. International Journal of Ocean and Climate Systems, 5(4):175–188.
  • Lavrov, D., G. E. Tzur, and J. Reinking. 2015. Implementation of tidal constituent interpolation method for the Israeli coastline. Marine Geodesy 38:190–202.
  • Makarynskyy, O., D. Makarynska, M. Kuhn, and W. E. Featherstone. 2004. Predicting sea level variations with artificial neural networks at Hillarys Boat Harbour, Western Australia. Estuarine, Coastal and Shelf Science 61:351–360.
  • Masriaa, A., A. Negma, M. Iskander, and O. Saavedra. 2014. Coastal zone issues: A case study (Egypt). Procedia Engineering 70:1102–1111.
  • Mathworks. 2008. Matlab, Release 12. Natick, MA: Mathworks.
  • Meyssignac, B., and A. Cazenave. 2012. Sea level: A review of present-day and recent-past changes and variability. Journal of Geodynamics 58:96–109.
  • NASA. 2014. http://data.giss.nasa.gov/gistemp/graphs_v3/.
  • Norgaard, M.. 2000. Neural Network Based System Identification Toolbox, Version 2. Technical Report 00-E-891. Department of Automation, Technical University of Denmark.
  • Omondi, P., J. L. Awange, L. A. Ogallo, J. Ininda, and E. Forootan. 2013. The influence of low frequency sea surface temperature modes on delineated decadal rainfall zones in Eastern Africa region. Advances in Water Resources 54:161–180.
  • Pytharouli, S. I., and S. C. Stiros. 2012. Analysis of short and discontinuous tidal data: A case study from the Aegean Sea. Survey Review 44(326):239–246.
  • Rabah, M. 2009. Using RTK tides on the northern coast of Egypt: Undulation model corrections from EGM2008. The Journal of The Institution of Civil Engineering Surveyors, pp. 43–48.
  • Shiri, J., O. Makarynskyy, O. Kisi, W. Dierickx, and A. Fard. 2011. Prediction of short-term perational water levels using an adaptive neuro-fuzzy inference system. Journal of Waterway, Port, Coastal, Ocean Engineering 137(6):344–354.
  • Srinivas, K., V. K. Das, and P. K. Kumar. 2005. Statistical modelling of monthly mean sea level at coastal tide gauge stations along the Indian subcontinent. Indian Journal of Marine Sciences 34(2):212–224.
  • Wu, L., C. C. Kao, T. W. Hsu, T. F. Wang, and J. H. Wang. 2012. Spatial and temporal features of regional variations in mean sea level around Taiwan. Open Journal of Marine Science 2:58–65.
  • Yan, Z., M. N. Tsimplis, and D. Woolf. 2004. Analysis of the relationship between the north atlantic oscillation and sea-level changes in northwest Europe. International Journal of Climatology 24:743–758.

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