- Akan, A.O. (2011). Open Channel Hydraulics. Butterworth-Heinemann.
- Apel, H., Merz, B., & Thieken, A.H. (2008). Quantification of uncertainties in flood risk assessments. International Journal of River Basin Management, 6(2), 149-162.
- Badiger, G., Sonawane, P., Patil, N., Shelake, G., & Jadhav, S. (2025). Investigating the influence of nano coolant and cross-sectional variations on microchannel cooling for electronic devices. Materials Research Proceedings, 49, 338-349. https://doi.org/10.21741/9781644903438-34
- Castellarin, A., Di Baldassarre, G., Bates, P.D., & Brath, A. (2009). Optimal cross-sectional spacing in Preissmann scheme 1D hydrodynamic models. Journal of Hydraulic Engineering, 135(2), 96-105.
- Chaudhry, M.H. (2008). Open-channel flow. 2nd edn. New York: Springer.
- Chow, V.T. (1959). Open-channel hydraulics. New York: McGraw-Hill.
- Conner, J., & Tonina, D. (2014). Effect of cross section interpolated bathymetry on 2D hydrodynamic model results in a large river. Earth Surface Processes and Landforms, 39(4),463-475.
- Cunge, J.A., Holly, F.M., & Verwey, A. (1980). Practical aspects of computational river hydraulics. London: Pitman.
- Di Baldassarre, G., & Montanari, A. (2009). Uncertainty in river discharge observations: a quantitative analysis. Hydrology and Earth System Sciences, 13,913-921.
- Henderson, F. M. (1957).Open Channel Flow. Journal of Fluid Mechanics, 29(2), 414-415.
- Henderson, F.M. (1966). Open channel flow. New York: Macmillan.
- Jakeman, A.J., Letcher, R.A., & Norton, J.P. (2006). Ten iterative steps in development & evaluation of environmental models. Environmental Modelling & Software, 21(5),602-614.
- Jesna, I., Bhallamudi, S., & Sudheer, K. (2023). Impact of cross‐sectional orientation in one‐dimensional hydrodynamic modeling on flood inundation mapping. Journal of Flood Risk Management, 16(3), e12893.
- John Brackins, Moragoda, N., Rahman, A., Cohen, S., & Lowry, C. (2021). The role of realistic channel geometry representation in hydrological model predictions. JAWRA Journal of the American Water Resources Association, 57(2),222-240.
- Knapp, J.L., González‐Pinzón, R., Drummond, J.D., Larsen, L.G., Cirpka, O.A., & Harvey, J.W. (2017). Tracer-based characterization of hyporheic exchange and benthic biolayers in streams. Water Resources Research, 53(2),1575-1594.
- Knapp, J.L.A., & Kelleher, C. (2020). A perspective on the future of transient storage modeling: Let’s stop chasing our tails. Water Resources Research, 56(3), e2019WR026257.
- Lambert, R.J.W., Mytilinaios, I., Maitl&, L., & Brown, A.M. (2012). Monte Carlo simulation of parameter confidence intervals for non-linear regression analysis of biological data using Microsoft Excel. Computational Methods and Programs in Biomedicine, 107,155-163.
- Leong, T.Y. (2007). Monte Carlo spreadsheet simulation using resampling. INFORMS Transactions on Education, 7,188-200.
- Li, J., He, L., Lu, H.W., & Fan, X. (2014). Stochastic goal programming based groundwater remediation.
Javernick, L., Brasington, J., & Caruso, B. (2014). Modelling the topography of shallow braided rivers using Structure from Motion photogrammetry. Geomorphology, 213,166-182. doi:10.1016/J.GEOMORPH.2014.01.006
- Li, T., Douglas, K.A., Le, H.P., Raz, A.K., Huang, W.J., & Fentiman, A.W. (2020). Applying Social Constructivism in Model-based Systems Engineering Online Instructional Module for Engineering Professionals. In: 2020 IEEE Frontiers in Education Conference (FIE), Uppsala, Sweden, 21-24 October 2020. IEEE. DOI: 10.1109/FIE44824.2020.9274251.
- Mahmood, K.M., & Mohammed-Ali, W.S. (2025). A hydraulic performance model of Khassa Chai River under varying flow conditions. Engineering, Technology & Applied Science Research, 15(2),20934-20940. https://doi.org/10.48084/etasr.9675
- Matott, L.S., Babendreier, J.E., & Purucker, S.T. (2009). Evaluating uncertainty in integrated environmental models: a review of concepts & tools. Water Resources Research, 45(6),1-14.
- Oakley, J.E., & O’Hagan, A. (2004). Probabilistic sensitivity analysis of complex models: a Bayesian approach. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 66(3),751-769.
- Pianosi, F., Beven, K., Freer, J., Hall, J.W., Rougier, J., Stephenson, D.B., & Wagener, T. (2016). Sensitivity analysis of environmental models: a systematic review with practical workflow. Environmental Modelling & Software, 79,214-232.
- Ren, L., He, L., Lu, H., & Chen, Y. (2016). Monte Carlo based interval transformation analysis for multi criteria decision analysis of groundwater management strategies under uncertain naphthalene concentrations and health risks. Journal of Hydrology, 539,468-477.
- Siedersleben, J., Jocham, S., Aufleger, M., & Klar, R. (2021). Morphodynamic modelling with uncertain geometry input. Water, 13(16), 2248.
- Tennakoon, T., Lai, T.W., Chan, K.C., Liu, C.-H., Leung, R.C.K., Chao, C.Y.H., & Fu, S.C. (2025). Leveraging microchannel cross-sectional geometry for acoustophoretic manipulation of submicron particles. Ultrasonics, 149, 107570.
- Tian, Q., & Boccelli, D.L. (2019). Estimating distribution system water demands using Markov chain Monte Carlo. Journal of Water Resources Planning and Management, 145(7), 04019023.
- Tian, H., Yao, C., Ren, Z., Zeng, Z., Guo, J., Yu, M., & Xia, C. (2025). Cross-sectional geometrical characteristic for the bends along the lower Jingjiang reach. Proceedings of the Institution of Civil Engineers - Water Management, 178(1),18-27.
- Vatanchi, S.M., & Maghrebi, M.F. (2024). Calibration and uncertainty analysis for isovel contours-based stage–discharge rating curve by sequential uncertainty fitting (SUFI-2) method. Water Resources Management, 39(4),1655-1676. https://doi.org/10.1007/s11269-024-04039-9
- Wagener, T., & Pianosi, F. (2019). What has Global Sensitivity Analysis ever done for us? A systematic review to support scientific advancement & to inform policy-making in earth system modelling. Earth Science Reviews, 194,1-18.
- Ward, A.S., & Packman, A.I. (2019). Advancing our predictive understanding of river corridor exchange. Water Resources Research, 6(1), e1327.
- Warmink, J.J., van der Klis, H., Booij, M.J., & Hulscher, S.J.M.H. (2011). Identification and quantification of uncertainties in a hydrodynamic river model using expert opinions. Water Resources Management, 25(2), 601-622.
- Wong, J.S., Freer, J., Bates, P., Warburton, J., & Coulthard, T. (2021). Assessing the hydrological and geomorphic behaviour of a landscape evolution model within a limits of acceptability uncertainty analysis framework. Earth Surface Processes and Landforms, 46(10),1981-2003.
- Yue, S., Chen, M., Song, J., Yuan, W., Chen, T., Lü, G., Chen, C., Ma, Z., Xu, K., Wen, Y., & Song, H. (2020). Participatory intercomparison strategy for terrestrial carbon cycle models based on a service-oriented architecture. Future Generation Computer Systems, 112,449-466.
-
|
