Hydrology and Earth System Sciences www.hydrol-earth-syst-sci.net 1027-5606 1607-7938 12 1 2008 10.5194/hess-12-267-2008 http://www.hydrol-earth-syst-sci.net/12/267/2008/ http://www.hydrol-earth-syst-sci.net/12/267/2008/hess-12-267-2008.html http://www.hydrol-earth-syst-sci.net/12/267/2008/hess-12-267-2008.pdf 267 275 2008-02-21 Prediction of littoral drift with artificial neural networks A. K. Singh M. C. Deo mcdeo@civil.iitb.ac.in V. Sanil Kumar Department of Civil Engineering, Indian Institute of Technology, Bombay, Mumbai 400 076, India Ocean Engineering, National Institute of Oceanography, Dona Paula, Goa 403 004, India The amount of sand moving parallel to a coastline forms a prerequisite for many harbor design projects. Such information is currently obtained through various empirical formulae. Despite so many works in the past an accurate and reliable estimation of the rate of sand drift has still remained as a problem. 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