Through a comparative analysis of the parallel effect of the model, we observed that, for the same computing platform, the speedup ratio increases with the number of threads as long as the thread number is less than the total number of physical cores. Moreover,larger computational loads lead to bigger speedup ratios and better acceleration performance. A maximum speedup ratio of 34.94 was achieved in the parallel performance test. A comparison of different computing platforms produced different acceleration effects. As well as the number of physical cores and dominant frequency, the platform with better connection and integration of the cores performed better than that with lower connection and integration levels in terms of parallel acceleration.

Using real-time monitoring of upstream inflow discharge, the 2-D parallel model was able to solve the flow state of the study channel in about 4 with the construction of a flow simulation scheme database, the efficiency of the navigation flow simulation can be further improved. High-speed simulations of navigable flow can provide a timely warning for ship navigation in extreme hydrological conditions or emergency events, and detailed flow condition information can aid navigation. In addition,specific ships can choose appropriate safe areas according to the detailed flow conditions and ship characteristics, further enhancing the safety of navigation and greatly improving the utilization of the navigable channel.

[1] Roberts S. E., Pettit S. J., Marlow P. B. Casualties and loss of life in bulk carriers from 1980 to 2010 [J]. Marine Policy, 2013, 42(14): 223-235.

[2] Lao S. C. Three accidents in the history of the Yangtze River [J]. Labour Protection, 2015, (7): 76-78(in Chinese).

[3] Yang W. J., Sun E. Y., Rao G. S. et al. Research on the influence of unsteady flow produced by operation of TGP on navigationⅡ: Reach between TGP and Gezhouba project [J]. Journal of Hydroelectric Engineering, 2006,25(1): 50-55( in Chinese).

[4] Ahmed H. S., Hasan M. M., Tanaka N. T. Analysis of flow around impermeable groynes on one side of symmetrical compound channel: An experimental study[J]. Water Science and Engineering, 2010, 3(1): 56-66.

[5] Samuel M. G. Limitations of navigation through Nubaria canal, Egypt [J]. Journal of Advanced Research, 2014,5(2): 147-155.

[6] Bellos V., Tsakiris G. A hybrid method for flood simulation in small catchments combining hydrodynamic and hydrological techniques [J]. Journal of Hydrology, 2016,540: 331-339.

[7] Liang Q., Chen K. C, Hou J. et al. Hydrodynamic modelling of flow impact on structures under extreme flow conditions [J]. Journal of Hydrodynamics, 2016, 28(2):267-274.

[8] Gallegos H. A., Schubert J. E., Sanders B. F. Two-dimensional, high-resolution modeling of urban dam-break flooding: A case study of Baldwin Hills, California [J].Advances in Water Resources, 2009, 32(8): 1323-1335.

[9] Mohamed K. A finite volume method for numerical simulation of shallow water models with porosity [J].Computers and Fluids, 2014, 104: 9-19.

[10] Jang T. U., Wu Y., Xu Y. et al. A scheme for improving computational efficiency of quasi-two-dimensional model[J]. Journal of Hydrodynamics, 2017, 29(2): 243-250.

[11] Zoppou C., Roberts S. Explicit schemes for dam-break simulations [J]. Journal of Hydraulic Engineering, ASCE,2002, 129(1): 11-34.

[12] Neal J. C., Fewtrell T. J., Bates P. D. et al. A comparison of three parallelisation methods for 2D flood inundation models [J]. Environmental Modelling and Software, 2010,25(4): 398-411.

[13] Brodtkorb A. R., S?tra M. L., Altinakar M. Efficient shallow water simulations on GPUs: implementation, visualization, verification, and validation [J]. Computers and Fluids, 2012, 55(4): 1-12.

[14] Bellos V., Tsakiris G. A hybrid method for flood simulation in small catchments combining hydrodynamic and hydrological techniques [J]. Journal of Hydrology, 2016,540: 331-339.

[15] Lon?ar V., Young-S L. E., ?krbi? S. et al. OpenMP,OpenMP/MPI, and CUDA/MPI C programs for solving the time-dependent dipolar Gross–Pitaevskii equation [J].Computer Physics Communications, 2016, 209: 190-196.

[16] Zhang S., Yuan R., Wu Y. et al. Parallel computation of a dam-break flow model using OpenACC applications [J].Journal of Hydraulic Engineering, ASCE, 2016, 143(1):0.

[17] Jin H. Q., Jespersen D., Mehrotra P. et al. High performance computing using MPI and OpenMP on multi-core parallel systems [J]. Parallel Computing, 2011, 37(9):562-575.

[18] Barve A., Joshi B. K. Improved parallel lexical analysis using OpenMP on multi-core machines [J]. Procedia Computer Science, 2015, 49(1): 211-219.

[19] Sanders B. F., Schubert J. E., Detwiler R. L. ParBreZo: A parallel, unstructured grid, Godunov-type, shallow-water code for high-resolution flood inundation modeling at the regional scale [J]. Advances in Water Resources, 2010,33(12): 1456-1467.

[20] Zhang S., Xia Z., Yuan R. et al. Parallel computation of a dam-break flow model using OpenMP on a multi-core computer [J]. Journal of Hydrology, 2014, 512(6):126-133.

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