Abbaspour, K.C., Yang, J., Maximov, I., Siber, R., Bogner, K., Mieleitner, J. and Srinivasan, R. (2007). Modelling hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT. Journal of hydrology, 333(2-4), 413-430.
Ahmed, I. and Freeman, G.E. (2004). Estimating Stage Discharge Uncertainty for Flood Damage Assessment. In Critical Transitions in Water and Environmental Resources Management, pp. 1-8.
Bates, B.C., and Townley, L.R. (1988). Nonlinear, discrete flood event models, 3. Analysis of prediction uncertainty. Journal of Hydrology, 99, 91–101.
Bautista, E., Clemmens, A.J., Strelkoff, T.S., and Schlegel, J. (2009). Modern analysis of surface irrigation systems with WinSRFR. Agricultural Water Management, 96(7), 1146-1154.
Bessar, M.A., Matte, P., and Anctil, F. (2020). Uncertainty Analysis of a 1D River Hydraulic Model with Adaptive Calibration. Water, 12(2), 561.
Couto, P.R.G., Damasceno, J.C., Oliveira, S.D., and Chan, W.K. (2013). Monte Carlo simulations applied to uncertainty in measurement. Theory and applications of Monte Carlo simulations, 27-51.
Dalledonne, G., Kopmann, R. and Brudy-Zippelius, T. (2019). Uncertainty analysis of floodplain friction in hydrodynamic models. Hydrol. Earth Syst. Sci. Discuss., doi: 10.5194/hess-2019-159.
Di Baldassarre, G. and Montanari, A. (2009). Uncertainty in river discharge observations: a quantitative analysis. Hydrology & Earth System Sciences, 13(6), 913-921.
Dung, N.V., Merz, B., Bárdossy, A., and Apel, H. (2015). Handling uncertainty in bivariate quantile estimation–An application to flood hazard analysis in the Mekong Delta. Journal of Hydrology, 527, 704-717.
Dysarz, T., Wicher-Dysarz, J., Sojka, M. and Jaskuła, J. (2019). Analysis of extreme flow uncertainty impact on size of flood hazard zones for the Wronki gauge station in the Warta river. Acta Geophysica, 67(2), 661-676.
Ebtehaj, I., Bonakdari, H., Safari, M.J.S., Gharabaghi, B., Zaji, A.H., Madavar, H.R. and Mehr, A.D. (2020). Combination of sensitivity and uncertainty analyses for sediment transport modeling in sewer pipes. International Journal of Sediment Research, 35(2), 157-170.
Eftekharian, L., Abrishamchi, A. and Tajrishi, M. (2005). Uncertainty Analysis of Water Levels of Sistan River and Reliability Analysis of Flood Control System. Journal of Hydraulics, 1(1), 39-54. (in Persian).
Faghih, M., Mirzaei, M., Adamowski, J., Lee, J. and El‐Shafie, A. (2017). Uncertainty estimation in flood inundation mapping: an application of non‐parametric Bootstrapping. River research and Applications, 33(4), 611-619.
Fakouri, B., Mazaheri, M., and Samani, J.M. (2019). Management scenarios methodology for salinity control in rivers (case study: Karoon River, Iran). Journal of Water Supply: Research and Technology-Aqua. 68(1), 74-86.
Fakouri Dekahi, B., Mazaheri, M. and Mohammad Vali Samani, J. (2018). Evaluation of Karun River Water Salinity Reduction Strategies Using Management Scenarios. Amirkabir Journal of Civil Engineering, 50(2), 245-256. (in Persian).
Fakouri Dekahi, B., Samani, J. and Mazahari, M. (2016). Effect of floods and management of pollution sources on temporal and spatial variations in water salinity of Karun River (Mollasani to Farsiat). Water and Irrigation Management, 6(2), 295-314. (in Persian)
Ganji Nowrouzi, Z., Shokoohi, A., and Singh, V. (2016). Evaluating the effect of discharge - probability function uncertainty on the risk of agricultural loss due to flood using Monte Carlo method. Iran-Water Resources Research, 12(2), 13-23. (in Persian).
Guo, A., Chang, J., Wang, Y., Huang, Q. and Li, Y. (2020). Uncertainty quantification and propagation in bivariate design flood estimation using a Bayesian information-theoretic approach. Journal of Hydrology, 584, 124677.
Heckert N.A., Filliben, J.J., Croarkin, C.M., Hembree, B., Guthrie, W.F., Tobias, P., and Prinz, J. (2002). Handbook 151: NIST/SEMATECH e-Handbook ofStatistical Methods. NIST Interagency/Internal Report (NISTIR).
Heydari, A., Saghafian, B. and Maknoun, R. (2007). Application of Generalized Likelihood Uncertainty Estimation Approach in Real Time Updating of Flood Forecasting Model. Journal of Hydraulics, 2(2), 17-32. (in Persian).
Huang, Y. and Qin, X. (2014). Uncertainty analysis for flood inundation modelling with a random floodplain roughness field. Environmental Systems Research, 3(1), 1-7.
Jacquin, A.P. and Shamseldin, A.Y. (2007). Development of a possibilistic method for the evaluation of predictive uncertainty in rainfall-runoff modeling. Water Resources Research, W04425.
Kahe, M.S., Javadi, S., Roozbahani, A. and Mohammadi, K. (2021). Parametric uncertainty analysis on hydrodynamic coefficients in groundwater numerical models using Monte Carlo method and RPEM. Environment, Development and Sustainability, 1-24.
Kiang, J.E., Gazoorian, C., McMillan, H., Coxon, G., Le Coz, J., Westerberg, I.K., Belleville, A., Sevrez, D., Sikorska, A.E., Petersen-Øverleir, A., and Reitan, T. (2018). A comparison of methods for Streamflow uncertainty estimation. Water Resour Res, 54(10), 7149–7176.
Koo, H., Chen, M., Jakeman, A.J. and Zhang, F. (2020a). A global sensitivity analysis approach for identifying critical sources of uncertainty in non-identifiable, spatially distributed environmental models: A holistic analysis applied to SWAT for input datasets and model parameters. Environmental modelling & software, 127, 104676.
Koo, H., Iwanaga, T., Croke, B.F., Jakeman, A.J., Yang, J., Wang, H.H. and Chen, M. (2020b). Position paper: Sensitivity analysis of spatially distributed environmental models-a pragmatic framework for the exploration of uncertainty sources. Environmental modelling & software, 104857.
Le Coz, J., Renard, B., Bonnifait, L., Branger, F. and Le Boursicaud, R. (2014). Combining hydraulic knowledge and uncertain gaugings in the estimation of hydrometric rating curves: A Bayesian approach. Journal of Hydrology, 509, 573-587.
Liu, Z. and Merwade, V. (2019). Separation and prioritization of uncertainty sources in a raster based flood inundation model using hierarchical Bayesian model averaging. Journal of Hydrology, 578, 124100.
Mansanarez, V., Westerberg, I.K., Lam, N. and Lyon, S.W. (2019). Rapid Stage‐Discharge Rating Curve Assessment Using Hydraulic Modeling in an Uncertainty Framework. Water Resources Research, 55(11), 9765-9787.
Marcé, R., Comerma, M., García, J.C. and Armengol, J. (2004). A neuro‐fuzzy modeling tool to estimate fluvial nutrient loads in watersheds under time varying human impact. Limnology and Oceanography: Methods, 2(11), 342-355.
Masoumi, F., Najjar-Ghabel, S. and Salimi, N. (2021). Automatic calibration of the two-dimensional hydrodynamic and water quality model using sequential uncertainty fitting approach. Environmental Monitoring and Assessment, 193(2), 1-15.
Mohammadi, S. and Kashefipour, M. (2011). Numerical modeling of flow using an improved dynamic roughness coefficient (Case study: Karun River). Irrigation and Water Engineering, 2(1), 99-110.
Moriasi, D.N., Arnold, J.G., Van Liew, M.W., Bingner, R.L., Harmel, R.D. and Veith, T.L. (2007). Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Transactions of the ASABE, 50(3), 885-900.
Mukolwe, M.M., Baldassarre, G.D., Werner, M. and Solomatine, D.P. (2014). Flood modelling: parameterization and inflow uncertainty. In Proceedings of the Institution of Civil Engineers-Water Management. 167(1), 51-60.
Nash, J.E. and Sutcliffe, J.V. (1970). River flow forecasting through conceptual models part I-A discussion of principles. Journal of hydrology, 10(3), 282-290.
Nikmanesh, M.R. (2011). Predicting the effect of vegetation on the coefficient of hydraulic roughness of the Shiraz river bed. Water Science and Engineering. 1(3), 41-54. (in Persian).
Pappenberger, F., Beven, K., Horritt, M. and Blazkova, S. (2005). Uncertainty in the calibration of effective roughness parameters in HEC-RAS using inundation and downstream level observations. Journal of Hydrology, 302(1-4), 46-69.
Pinheiro, V.B., Naghettini, M. and Palmier, L.R. (2019). Uncertainty estimation in hydrodynamic modeling using Bayesian techniques. RBRH, 24.
Rathod, P. and Manekar, V.L. (2020). Parameter uncertainty in HEC-RAS 1D CSU scour model. Current Science, 118(8), 1227.
Reichstetter, M. (2011) .Hydraulic Modelling of Unsteady Open Channel Flow: Physical and Analytical Validation of Numerical Models of Positive and Negative Surges. MPhil thesis, School of Civil Engineering, The University of Queensland, Brisbane, Australia, 112 p.
Riahi-Madvar, H., Ayyoubzadeh, S., Namin, M. and Seifi, A. (2011). Uncertainty analysis of quasi-two-dimensional flow simulation in compound channels with overbank flows. Journal of Hydrology and Hydromechanics, 59(3), 171-183.
Riahi-Madvar, H. and Seifi, A. (2018). Uncertainty analysis in bed load transport prediction of gravel bed rivers by ANN and ANFIS. Arabian Journal of Geosciences, 11(21), 1-20.
Saberi Tanasvan, M., Ganji Noroozi, Z., Delghandi, M. and Dorostkar, V. (2020). Sensitivity analysis of flood parameters to roughness variation. Irrigation and Water Engineering, 10(4), 167-180. (in Persian)
Scharffenberg, W.A. and Kavvas, M.L. (2011). Uncertainty in flood wave routing in a lateral-inflow-dominated stream. Journal of Hydrologic Engineering, 16(2), 165-175.
Seifi, A., Dehghani, M. and Singh, V.P. (2020). Uncertainty analysis of water quality index (WQI) for groundwater quality evaluation: Application of Monte-Carlo method for weight allocation. Ecological Indicators, 117, 106653. doi: 10.1016/j. ecolind.2020.106653
Seifi, A., Ehteram, M. and Soroush, F. (2020). Uncertainties of instantaneous influent flow predictions by intelligence models hybridized with multi-objective shark smell optimization algorithm. Journal of Hydrology, 587, 124977.
Serinaldi, F. (2013). An uncertain journey around the tails of multivariate hydrological distributions. Water Resources Research, 49(10), 6527-6547.
Shafaei Bajestan, M. (2005). Sediment hydraulics, Shahid Chamran University, Ahwaz, Iran. (in Persian).
Soroush, F. and Riahi, H. (2019). Uncertainty Analysis of Infiltration Parameters of WinSRFR Furrow Irrigation Simulation Model with Monte Carlo Method. Iranian Journal of Soil and Water Research, 50(4), 1007-991. (in Persian)
Stephens, T.A. and Bledsoe, B.P. (2020). Probabilistic mapping of flood hazards: Depicting uncertainty in streamflow, land use, and geomorphic adjustment. Anthropocene, 29, 100231.
Teng, J., Jakeman, A.J., Vaze, J., Croke, B.F., Dutta, D. and Kim, S. (2017). Flood inundation modelling: A review of methods, recent advances and uncertainty analysis. Environmental Modelling & Software, 90, 201-216.
Tschiedel, A.D.F. and Paiva, R.C.D.D. (2018). Uncertainty assessment in hydrodynamic modeling of floods generated by dam break. RBRH, 23.
Vatanchi, S.M. and Maghrebi, M.F. (2019). Uncertainty in Rating-Curves Due to Manning Roughness Coefficient. Water Resources Management, 33(15), 5153-5167.
Wohl, E.E. (1998). Uncertainty in flood estimates associated with roughness coefficient. Journal of Hydraulic Engineering, 124(2), 219-223.
Zheng, Y. and Han, F. (2016). Markov Chain Monte Carlo (MCMC) uncertainty analysis for watershed water quality modeling and management. Stochastic environmental research and risk assessment, 30(1), 293-308.
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