Developing a numerical model for sediment transport in channel network by considering multigrade bed load sediment

References

• Alizadeh, M.J., Shahheydari, H., Kavianpour, M.R., Shamloo, H., and Barati, R. (2017). “Prediction of longitudinal dispersion coefficient in natural rivers using a cluster-based Bayesian network.” Environ. Earth Sci., 76(2), 1–11. doi: 10.1007/s12665-016-6379-6
   Web of Science ®Google Scholar
• Balaji, R., Satheesh Kumar, J., Cornelius, R., Naveen, R., Prasantha, G., and Prince, T. (2022). “Numerical modelling of tidal hydrodynamics along river Tapi, Gujarat.” River hydraulics, Springer, Cham, 419–427. doi: 10.1007/978-3-030-81768-8_35
   Google Scholar
• Banerjee, S., Naik, B., Singh, P., and Khatua, K.K. (2019). “Flow resistance in gravel bed open channel flows case: Intense transport condition.” ISH J. Hydraul. Eng., 25(3), 298–309. doi: 10.1080/09715010.2017.1422189
   Google Scholar
• Barati, R., Neyshabouri, S.A.A.S., and Ahmadi, G. (2018). “Issues in Eulerian–Lagrangian modelling of sediment transport under saltation regime.” Int. J. Sediment Res., 33(4), 441–461. doi: 10.1016/j.ijsrc.2018.04.003
   Web of Science ®Google Scholar
• Barati, R., Neyshabouri, S.S., and Ahmadi, G. (2014, August). “Numerical simulation of the sediment transport in the saltation regime.” River flow, Taylor and Francis Group London, England, 833–841. doi: 10.1201/b17133-114
   Google Scholar
• Beckers, F., Noack, M., and Wieprecht, S. (2018). “Uncertainty analysis of a 2D sediment transport model: An example of the lower river Salzach.” J. Soils. Sediments, 18(10), 3133–3144. doi: 10.1007/s11368-017-1816-z
   Web of Science ®Google Scholar
• Chaudhary, H.P., Isaac, N., Tayade, S.B., and Bhosekar, V.V. (2019). “Integrated 1D and 2D numerical model simulations for flushing of sediment from reservoirs.” ISH J. Hydraul. Eng., 25(1), 19–27. doi: 10.1080/09715010.2018.1423580
   Google Scholar
• Choufu, L., Abbasi, S., Pourshahbaz, H., Taghvaei, P., and Tfwala, S. (2019). “Investigation of flow, erosion, and sedimentation pattern around varied groynes under different hydraulic and geometric conditions: A numerical study.” Water (Switzerland), 11(2), 235. doi: 10.3390/w11020235
   Google Scholar
• Damte, F., G_mariam, B., Ayana, M.T., Lohani, T.K., Dhiman, G., and Shabaz, M. (2021). “Computing the sediment and ensuing its erosive activities using HEC-RAS to surmise the flooding in Kulfo river in Southern Ethiopia.” WJE, 18(6), 948–955. doi: 10.1108/WJE-01-2021-0002
   Web of Science ®Google Scholar
• De Leeuw, J., Lamb, M.P., Parker, G., Moodie, A.J., Haught, D., Venditti, J.G., and Nittrouer, J.A. (2020). “Entrainment and suspension of sand and gravel.” Earth Surf. Dynam., 8(2), 485–504. doi: 10.5194/esurf-8-485-2020
   Web of Science ®Google Scholar
• Ebtehaj, I., Bonakdari, H., Zaji, A.H., and Gharabaghi, B. (2021). “Evolutionary optimization of neural network to predict sediment transport without sedimentation.” Complex Intell. Syst., 7(1), 401–416. doi: 10.1007/s40747-020-00213-9
   Web of Science ®Google Scholar
• Egbueri, J.C., and Agbasi, J.C. (2022). “Data-driven soft computing modeling of groundwater quality parameters in southeast Nigeria: Comparing the performances of different algorithms.” Environ. Sci. Pollut. R., 29(25), 38346–38373. doi: 10.1007/s11356-022-18520-8
   PubMed Web of Science ®Google Scholar
• Ferro, V. (2018). “Flow resistance law under equilibrium bed-load transport conditions.” Flow Meas. Instrum., 64, 1–8. doi: 10.1016/j.flowmeasinst.2018.10.008
   Web of Science ®Google Scholar
• He, C., Taylor, J.N., Rochfort, Q., and Nguyen, D. (2021). “A new portable in situ flume for measuring critical shear stress on river beds.” Int. J. Sediment Res., 36(2), 235–242. doi: 10.1016/j.ijsrc.2020.08.004
   Web of Science ®Google Scholar
• Horvat, M., and Horvat, Z. (2020). “Sediment transport and bed evolution model for complex river systems.” Environ. Monit. Assess., 192(4), 1–25. doi: 10.1007/s10661-020-8100-1
   Web of Science ®Google Scholar
• Hosseini, K., Nodoushan, E.J., Barati, R., and Shahheydari, H. (2016). “Optimal design of labyrinth spillways using meta-heuristic algorithms.” Ksce J. Civ. Eng., 20(1), 468–477. doi: 10.1007/s12205-015-0462-5
   Web of Science ®Google Scholar
• Jain, P., and Ghoshal, K. (2021). “An explicit expression for velocity profile in presence of secondary current and sediment in an open channel turbulent flow.” Can. J. Civ. Eng., 48(1), 52–61. doi: 10.1139/cjce-2019-0205
   Web of Science ®Google Scholar
• Jelti, S., and Boulerhcha, M. (2022). “Numerical modeling of two dimensional non-capacity model for sediment transport by an unstructured finite volume method with a new discretization of the source term.” Math. Comput. Simul., 197, 253–276. doi: 10.1016/j.matcom.2022.02.012
   Web of Science ®Google Scholar
• Jian, J., and Chen, H. (2019). “Advance of research on the numerical simulation of sediment transport in the Yellow river estuary.” Earth Sci. Res. J., 23(4), 379–383. doi: 10.15446/esrj.v23n4.84100
   Google Scholar
• Kaveh, K., Reisenbüchler, M., Lamichhane, S., Liepert, T., Nguyen, N.D., Bui, M.D., and Rutschmann, P. (2019). “A comparative study of comprehensive modelling systems for sediment transport in a curved open channel.” Water (Switzerland), 11(9), 1779. doi: 10.3390/w11091779
   Google Scholar
• Khan, M.Y.A., Hasan, F., and Tian, F. (2019). “Estimation of suspended sediment load using three neural network algorithms in Ramganga river catchment of Ganga Basin, India.” Sustain. Water Resour. Manag., 5(3), 1115–1131. doi: 10.1007/s40899-018-0288-7
   Web of Science ®Google Scholar
• Khosravi, K., Chegini, A.H., Cooper, J.R., Daggupati, P., Binns, A., and Mao, L. (2021). “Uniform and graded bed-load sediment transport in a degrading channel with non-equilibrium conditions.” Int. J. Sediment Res., 36(1), 163–163. doi: 10.1016/j.ijsrc.2020.08.002
   Web of Science ®Google Scholar
• Kumar, S., Pradhan, A., Khuntia, J.R., and Khatua, K.K. (2022). “Evaluation of flow resistance in gravel-bed channels with bed-load transport by using multi-gene Genetic Programming”.
   Google Scholar
• Kuriqi, A., Koçileri, G., and Ardiçlioğlu, M. (2020). “Potential of Meyer-Peter and Müller approach for estimation of bed-load sediment transport under different hydraulic regimes.” Model. Earth Syst. Environ., 6(1), 129–137. doi: 10.1007/s40808-019-00665-0
   Web of Science ®Google Scholar
• Lotsari, E., Dietze, M., Kämäri, M., Alho, P., and Kasvi, E. (2020). “Macro-turbulent flow and its impacts on sediment transport potential of a subarctic river during ice-covered and open-channel conditions.” Water (Switzerland), 12(7), 1874. doi: 10.3390/w12071874
   Google Scholar
• Mahmodinia, S., and Javan, M. (2021). “Continuous and discontinuous gravity currents in open-channel embayment.” Environ. Sci. Pollut. R., 28(16), 20803–20821. doi: 10.1007/s11356-020-11915-5
   PubMed Web of Science ®Google Scholar
• Meshram, S.G., Singh, V.P., Kisi, O., Karimi, V., and Meshram, C. (2020). “Application of artificial neural networks, support vector machine and multiple model-ANN to sediment yield prediction.” Water Resour. Manage, 34(15), 4561–4575. doi: 10.1007/s11269-020-02672-8
   Web of Science ®Google Scholar
• Ouda, M., and Toorman, E.A. (2019). “Development of a new multiphase sediment transport model for free surface flows.” Int. J. Multiphas. Flow, 117, 81–102. doi: 10.1016/j.ijmultiphaseflow.2019.04.023
   Web of Science ®Google Scholar
• Park, S., Kim, D.H., and Yoo, H. (2020). “Morphodynamic modelling of flash rip current driven coastal sediment transport.” J. Coast. Res., 95(SI), 1229–1234. doi: 10.2112/SI95-238.1
   Google Scholar
• Sadeghifar, T., and Barati, R. (2018). “Application of adaptive neuro-fuzzy inference system to estimate alongshore sediment transport rate (A real case study: Southern shorelines of Caspian Sea).” J. Soft Comput. Civ. Eng., 2(4), 72–85.
   Google Scholar
• Sharma, A., Herrera-Granados, O., and Kumar, B. (2019). “Bedload transport and temporal variation of non-uniform sediment in a seepage-affected alluvial channel.” Hydrol. Sci. J., 64(8), 1001–1012. doi: 10.1080/02626667.2019.1615621
   Web of Science ®Google Scholar
• Shih, W., and Diplas, P. (2018). “A unified approach to bed load transport description over a wide range of flow conditions via the use of conditional data treatment.” Water Resour. Res., 54(5), 3490–3509. doi: 10.1029/2017WR022373
   Web of Science ®Google Scholar
• Tajnesaie, M., Jafari Nodoushan, E., Barati, R., and Azhdary Moghadam, M. (2020). “Performance comparison of four turbulence models for modeling of secondary flow cells in simple trapezoidal channels.” ISH J. Hydraul. Eng., 26(2), 187–197. doi: 10.1080/09715010.2018.1469053
   Google Scholar
• Tu, T., Ercan, A., Carr, K.J., Kavvas, M.L., Trinh, T., Ishida, K., Nosacka, J., and Brown, K. (2020). “Coupling hydroclimate-hydraulic-sedimentation models to estimate flood inundation and sediment transport during extreme flood events under a changing climate.” Sci. Total Environ., 740, 140117. doi: 10.1016/j.scitotenv.2020.140117
   PubMed Web of Science ®Google Scholar
• Xiao, Y., Liu, J., Qin, C., and Xu, F. (2022). “Two-dimensional numerical modelling of flow pattern and bed topography in channel bend.” Environ. Modell. Assess., 27, 715–726.
   Web of Science ®Google Scholar
• Zaji, A.H., and Bonakdari, H. (2019). “Velocity field simulation of open-channel junction using artificial intelligence approaches.” Iran. J. Sci. Technol. Trans. Civ. Eng., 43(1), 549–560. doi: 10.1007/s40996-018-0185-1
   Google Scholar