Three different models to evaluate water discharge: An application to a river section at Vinh Tuy location in the Lo river basin, Vietnam

Journal of Hydro-Environment Research - Tập 40 - Trang 38-50 - 2022
Chien Pham Van1, Giang Nguyen–Van1
1Thuyloi University, 175 Tay Son, Dong Da, Hanoi, Vietnam

Tài liệu tham khảo

Bahdanau, D., Cho, K., Bengio, Y., 2014. Neural machine translation by jointly learning to align and translate. arXiv:1409.0473. Ben-Israel, 1966, A Newton-Raphson method for the solution of systems of equations, J. Math. Anal. Appl., 15, 243, 10.1016/0022-247X(66)90115-6 Cho, K., Bahdanau, D., Bougares, F., Schwenk, H., Bengio, Y., 2014. Learning phrase representations using RNN encoder-decoder for statistical machine translation. arXiv:1406.1078. Choi, 2015, Prediction of total sediment load in sand-bed rivers in Korea using lateral distribution method, J. Am. Water Resour. Assoc., 51, 214, 10.1111/jawr.12249 Chow, 1959 Cunge, 1980 Darby, 1996, Predicting stage-discharge curves in channels with bank vegetation, J. Hydraul. Eng., 122, 583, 10.1061/(ASCE)0733-9429(1996)122:10(583) Domeneghetti, 2012, Assessing rating-curve uncertainty and its effects on hydraulic model calibration, Hydrol. Earth Syst. Sci., 16, 1191, 10.5194/hess-16-1191-2012 Hochreiter, 1997, Long short–term memory, Neural Comput., 9, 1735, 10.1162/neco.1997.9.8.1735 ISO 1100-2:2010 Hydrometry – measurement of liquid flow in open channels – Part 2: Determination of the stage-discharge relationship. International Organization for Standardization, Geneva, Switzerland, 2010, 28 p. Kiang, 2018, A comparison of methods for streamflow uncertainty estimation, Water Resour. Res., 54, 7149, 10.1029/2018WR022708 Kingma, 2015, Adam: A Method for Stochastic Optimization, International Conference on Learning Representations, 1 Kratzert, 2018, Rainfall–runoff modelling using long short–term memory (LSTM) networks, Hydrol. Earth Syst. Sci., 22, 6005, 10.5194/hess-22-6005-2018 Le Coz, 2014, Combining hydraulic knowledge and uncertain gaugings in the estimation of hydrometric rating curve: A Bayesian approach, J. Hydrol., 509, 573, 10.1016/j.jhydrol.2013.11.016 Le, 2019, Application of long short-term memory (LSTM) neural network for flood forecasting, WATER, 11, 1387, 10.3390/w11071387 Moninul Haque, 2021, Effect of rating curve hysteresis on flood extent simulation with a 2D hydrodynamic model: A case study of the Inner Niger Delta, Mali, West Africa, J. Afr. Earth Sc., 178 Pham Van, 2020, Numerical simulation of hydrodynamic characteristics and bedload transport in cross sections of two gravel-bed rivers based on one-dimensional lateral distribution method, Int. J. Sedim. Res., 35, 203, 10.1016/j.ijsrc.2019.12.001 Pham Van, 2016, Simulations of the flow in the Mahakam river-lake-delta system, Indonesia, Environ. Fluid Mech., 16, 603, 10.1007/s10652-016-9445-4 Pham Van, 2014, Simulations of flow in compound open-channel using a discontinuous Galerkin finite-element method with Smagorinsky turbulence closure, J. Hydro-environ. Res., 8, 396, 10.1016/j.jher.2014.04.002 Ranzi, 2012, A RUSLE approach to model suspended sediment load in the Lo river (Vietnam): effects of reservoirs and land use changes, J. Hydrol., 422–423, 17, 10.1016/j.jhydrol.2011.12.009 Rantz, S.E. et al. (1982). Measurement and computation of streamflow: Volume 2. Computation of discharge. USGS Water Supply Paper 2175. Yang, 2019, Real-time reservoir operation using recurrent neural networks and inflow forecast from a distributed hydrological model, J. Hydrol., 579, 124229, 10.1016/j.jhydrol.2019.124229 Yao, K., Cohn, T., Vylomova, K., Duh, K., 2015. Depth–gated recurrent neural networks. arXiv:1508.03790. Vionnet, 2004, Estimates of flow resistance and eddy viscosity coefficients for 2D modelling on vegetated floodplains, Hydrol. Process., 18, 2907, 10.1002/hyp.5596 Vreugdenhil, C.B. (1986). Numerical Methods for Shallow-Water Flow. Water Science and Technology Library. 13. Springer, Dordrecht. doi:10.1007/978-94-015-8354-1. Wark, 1990, A practical method of estimating velocity and discharge in a compound channel, 163 World Meteorological Organization, 2010. Manual on Stream Gauging. Fieldwork WMO-No. 1044, vol. I, 250 p. World Meteorological Organization, 2010. Manual on Stream Gauging. Computation of discharge WMO-No. 1044, vol. II, 195p.