[1] Bijker EW. Longshore Transport Computations. J Waterw Harb Coast Eng Div 1971;97:687–701.
[2] Shore Protection Manual, U.S. Army Coastal Engineering Research Center, Department of the Army, Corps of Engineers, U.S. Govt. Printing Office, Washington, DC, USA 1984;1 and 2.
[3] Kraus NC, Gingerich KJ, Rosati JD. Duck85 surf zone sand transport experiment, Technical report C.E.R.C 89-5, Department of the army waterways experiment station of engineer’s, Vicksburg, Mississippi. 1989.
[4] Walton Jr TL, Bruno RO. Longshore transport at a detached breakwater, phase II. J Coast Res 1989;5:679–91.
[5] Kamphuis JW. Alongshore Sediment Transport Rate. J Waterw Port, Coastal, Ocean Eng 1991;117:624–40. doi:10.1061/(ASCE)0733-950X(1991)117:6(624).
[6] Watanabe A. Total Rate and Distribution of Longshore Sand Transport. Coast. Eng. 1992, New York, NY: American Society of Civil Engineers; 1993, p. 2528–41. doi:10.1061/9780872629332.193.
[7] Bayram A, Larson M, Miller HC, Kraus NC. Cross-shore distribution of longshore sediment transport: comparison between predictive formulas and field measurements. Coast Eng 2001;44:79–99. doi:10.1016/S0378-3839(01)00023-0.
[8] Rijn LC van. Longshore sand transport, In: Coastal engineering. Proc. 28th Coast. Eng. Conf. Rest. (VA ) ASCE, WORLD SCIENTIFIC; 2002, p. 2439–2451.
[9] Sanil Kumar V, Anand N., Chandramohan P, Naik G. Longshore sediment transport rate—measurement and estimation, central west coast of India. Coast Eng 2003;48:95–109. doi:10.1016/S0378-3839(02)00172-2.
[10] Bakhtyar R, Ghaheri A, Yeganeh-Bakhtiary A, Jeng D-S. Cross-shore sediment transport estimation using fuzzy inference system in the swash zone. J Franklin Inst 2011;348:2005–25. doi:10.1016/j.jfranklin.2011.05.016.
[11] Kumar VS, Shanas PR, Dora GU, Glejin J, Philip S. Longshore sediment transport in the surf zone based on different formulae: a case study along the central west coast of India. J Coast Conserv 2017;21:1–13. doi:10.1007/s11852-016-0462-8.
[12] Sadeghifar T, Azarmsa SA, Vafakhah M. Prediction of Alongshore Sediment Transport Rate Using Semi-Empirical Formulas and an Artificial Neural Networks (ANNs) model in Noor Coastal zone. Int J Marit Technol 2013;9:77–86.
[13] Kabiri-Samani AR, Aghaee-Tarazjani J, Borghei SM, Jeng DS. Application of neural networks and fuzzy logic models to long-shore sediment transport. Appl Soft Comput 2011;11:2880–7. doi:10.1016/j.asoc.2010.11.021.
[14] Mafi S, Yeganeh-Bakhtiary A, Kazeminezhad MH. Prediction formula for longshore sediment transport rate with M5’ algorithm. J Coast Res 2013;165:2149–54. doi:10.2112/SI65-363.1.
[15] Seymour RJ, Sessions MH, Castel D. Automated Remote Recording and Analysis of Coastal Data. J Waterw Port, Coastal, Ocean Eng 1985;111:388–400. doi:10.1061/(ASCE)0733-950X(1985)111:2(388).
[16] Bakhtyar R, Ghaheri A, Yeganeh-Bakhtiary A, Baldock TE. Longshore sediment transport estimation using a fuzzy inference system. Appl Ocean Res 2008;30:273–86. doi:10.1016/j.apor.2008.12.001.
[17] Bakhtyar R, Barry DA, Li L, Jeng DS, Yeganeh-Bakhtiary A. Modeling sediment transport in the swash zone: A review. Ocean Eng 2009;36:767–83. doi:10.1016/j.oceaneng.2009.03.003.
[18] Güner HAA, Yüksel Y, Çevik EÖ. Longshore Sediment Transport—Field Data and Estimations Using Neural Networks, Numerical Model, and Empirical Models. J Coast Res 2013;287:311–24. doi:10.2112/JCOASTRES-D-11-00074.1.
[19] Arı Güner HA, Yumuk HA. Application of a fuzzy inference system for the prediction of longshore sediment transport. Appl Ocean Res 2014;48:162–75. doi:10.1016/j.apor.2014.08.008.
[20] Robertson B, Gharabaghi B, Hall K. Prediction of Incipient Breaking Wave-Heights Using Artificial Neural Networks and Empirical Relationships. Coast Eng J 2015;57:1550018-1-1550018–27. doi:10.1142/S0578563415500187.
[21] Sadeghifar T, Nouri Motlagh M, Torabi Azad M, Mohammad Mahdizadeh M. Coastal Wave Height Prediction using Recurrent Neural Networks (RNNs) in the South Caspian Sea. Mar Geod 2017;40:454–65. doi:10.1080/01490419.2017.1359220.
[22] Thomas LJ, Seabergh WC. Littoral Environment Observations. U. S. Army Eng. Waterw. Exp. Station. Coast. Eng. Res. Cent. 3909 Halls Fenny Road, Viiurg. Missiiippi, 1997, p. 39180–6lS9.
[23] Kraus NC, Nakashima L. Field method for rapidly determining the dry weight of wet sand samples. J Sediment Petrol 1986;56:550–1.
[24] Kamphuis JW, Davies MH, Nairn RB, Sayao OJ. Calculation of littoral sand transport rate. Coast Eng 1986;10:1–21. doi:10.1016/0378-3839(86)90036-0.
[25] J. R. L. A. An Approach to the Sediment Transport Problem from General Physics. By R. A. Bagnold. U.S. Geological Survey Professional Paper 422-I, pp. v + 37, with 15 figs, and 1 table. U.S. Government Printing Office, Washington, D.C., 1966. Price 35 cents. Geol Mag 1967;104:409. doi:10.1017/S0016756800049074.
[26] Komar PD, Inman DL. Longshore sand transport on beaches. J Geophys Res 1970;75:5914–27. doi:10.1029/JC075i030p05914.
[27] Dean RG, Dalrymple RA. Coastal Processes with Engineering Applications. Cambridge: Cambridge University Press; 2001. doi:10.1017/CBO9780511754500.
[28] Longuet-Higgins MS. Longshore currents generated by obliquely incident sea waves: 1. J Geophys Res 1970;75:6778–89. doi:10.1029/JC075i033p06778.
[29] Martin Larsen P. Industrial applications of fuzzy logic control. Int J Man Mach Stud 1980;12:3–10. doi:10.1016/S0020-7373(80)80050-2.
[30] Singh AK, Deo MC, Kumar VS. Prediction of littoral drift with artificial neural networks. Hydrol Earth Syst Sci Discuss Eur Geosci Union 2008;12:267–75.
[31] Wang P, Ebersole BA, Smith ER, Johnson BD. Temporal and spatial variations of surf-zone currents and suspended sediment concentration. Coast Eng 2002;46:175–211. doi:10.1016/S0378-3839(02)00091-1.
[32] Alizadeh MJ, Shahheydari H, Kavianpour MR, Shamloo H, Barati R. Prediction of longitudinal dispersion coefficient in natural rivers using a cluster-based Bayesian network. Environ Earth Sci 2017;76:86. doi:10.1007/s12665-016-6379-6.
[33] Barati R, Neyshabouri SAAS, Ahmadi G. Development of empirical models with high accuracy for estimation of drag coefficient of flow around a smooth sphere: An evolutionary approach. Powder Technol 2014;257:11–9. doi:10.1016/j.powtec.2014.02.045.
[34] Hosseini K, Nodoushan EJ, Barati R, Shahheydari H. Optimal design of labyrinth spillways using meta-heuristic algorithms. KSCE J Civ Eng 2016;20:468–77. doi:10.1007/s12205-015-0462-5.
[35] Barati R, Neyshabouri SS, Ahmadi G. Sphere drag revisited using shuffled complex evolution algorithm. River flow, 2014, p. 345–53.
[36] Barati R. Application of excel solver for parameter estimation of the nonlinear Muskingum models. KSCE J Civ Eng 2013;17:1139–48. doi:10.1007/s12205-013-0037-2.
[37] Barati R. Parameter Estimation of Nonlinear Muskingum Models Using Nelder-Mead Simplex Algorithm. J Hydrol Eng 2011;16:946–54. doi:10.1061/(ASCE)HE.1943-5584.0000379.
[38] Barati R, Neyshabouri SAAS, Ahmadi G. Issues in Eulerian–Lagrangian modeling of sediment transport under saltation regime. Int J Sediment Res 2018;33:441–61. doi:10.1016/j.ijsrc.2018.04.003.