Abstract
Due to natural heterogeneity in runoff processes, the analysis of response of stream channels to the variation of lateral inflow is therefore viewed in terms of stochastic spatiotemporal processes. Based on the representation theorem, a closed-form expression is derived to describe the spectral response characteristic of stream subject to spatiotemporal fluctuations in lateral inflow. It provides a basis for evaluating the induced discharge variability in stream channels. It is found that the evolutionary power spectrum of the stream flow discharge process and therefore the variance is increased with the distance from the upstream boundary and the characteristic length scale of the lateral inflow process. Flow discharge prediction in the downstream region has a high degree of uncertainty by solving the deterministic partial differential equation.
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References
Bell T, Kundu PK (1996) A Study of the sampling error in satellite rainfall estimates using optimal averaging of data and a stochastic model. J Clim 9(6):1251–1268
Bell TL, Kundu PK (2003) Comparing satellite rainfall estimates with rain gauge data: optimal strategies suggested by a spectral model. J Ceophys Res. doi:10.1029/2002JD002641
Chang C-M, Yeh H-D (2015) Variability of flow discharge in lateral inflow-dominated stream channels. Hydrol Earth Syst Sci Discuss 12:2477–2495
Chow VT, Maidment DR, Mays LW (1988) Applied hydrology. McGraw-Hill, New York
Dooge JCI, Napiorkowski JJ (1984) Effect of downstream control in diffusion routing. Acta Geophys Pol 32(4):363–373
Fan P, Li JC (2006) Diffusive wave solutions for open channel flows with uniform and concentrated lateral inflow. Adv Water Resour 29(7):1000–1019
Gelhar LW (1993) Stochastic subsurface hydrology. Prentice Hall, Englewood Cliffs
Gottardi G, Venutelli V (2008) An accurate time integration method for simplified overland flow models. Adv Water Resour 31(1):173–180
Govindaraju RS, Kavvas ML, Jones SE (1990) Approximate analytical solutions for overland flows. Water Resour Res 26(12):2903–2912
Hwang Y, Clark MP, Rajagopalan B (2011) Use of daily precipitation uncertainties in streamflow simulation and forecast. Stoch Environ Res Risk Assess 25(7):957–972
Kazezyılmaz-Alhan CM (2012) An improved solution for diffusion waves to overland flow. Appl Math Model 36(9):4165–4172
Kriauciuniene J, Jakimavicius D, Sarauskiene D, Kaliatka T (2013) Estimation of uncertainty sources in the projections of Lithuanian river runoff. Stoch Environ Res Risk Assess 27(4):769–784
Kundu PK, Bell TL (2003) A stochastic model of space-time variability of mesoscale rainfall: statistics of spatial averages. Water Resour Res 39(12):1328. doi:10.1029/2002WR001802
Litrico X, Fromion V (2009) Modeling and control of hydrosystems. Springer, London
Lumley JL, Panofsky HA (1964) The structure of atmospheric turbulence. Wiley, New York
Mizell SA, Gutjahr AL, Gelhar LW (1982) Stochastic analysis of spatial variability in two-dimensional steady groundwater flow assuming stationary and nonstationary heads. Water Resour Res 18(4):1053–1067
Morris EM (1979) The effect of small slope approximation and lower boundary conditions on solution of Saint Venant equations. J Hydrol 40:31–47
Moussa R (1996) Analytical Hayami solution for the diffusive wave flood routing problem with lateral inflow. Hydrol Process 10(9):1209–1227
Moussa R, Bocquillon C (1996) Criteria for the choice of flood-routing methods in natural channels. J Hydrol 186(1–4):1–30
Partington D, Brunner P, Frei S, Simmons CT, Werner AD, Therrien R, Maier HR, Dandy GC, Fleckenstein JH (2013) Interpreting streamflow generation mechanisms from integrated surface-subsurface flow models of a riparian wetland and catchment. Water Resour Res 49(9):5501–5519
Ponce VM (1989) Engineering hydrology: principles and practice. Prentice Hall, Englewood Cliffs
Priestley MB (1965) Evolutionary spectra and non-stationary processes. J R Stat Soc Ser B 27:204–237
Priestley MB (1967) Power spectral analysis of non-stationary random processes. J Sound Vib 6:86–97
Singh VP (1996) Kinematic wave modeling in water resources: surface water hydrology. Wiley, New York
Singh VP, Jain SK, Sherif MM (2005) Errors of kinematic wave and diffusion wave approximations for time-independent flows with infiltration and momentum exchange included. Hydrol Process 19(9):1771–1790
Sivapalan M, Bates BC, Larsen JE (1997) A generalized, non-linear, diffusion wave equation: theoretical development and application. J Hydrol 192(1–4):1–16
Tingsanchali T, Manandhar SK (1985) Analytical diffusion model for flood routing. J Hydr Eng 111(3):435–454
Wheater HS, Chandler RE, Onof CJ, Isham VS, Bellone E, Yang C, Lekkas D, Lourmas G, Segond M-L (2005) Spatial-temporal rainfall modelling for flood risk estimation. Stoch Environ Res Risk Assess 19(6):403–416
Wright DB, Smith JA, Baeck ML (2014) Flood frequency analysis using radar rainfall fields and stochastic storm transposition. Water Resour Res 50(2):1592–1615
Yatheendradas S, Wagener T, Gupta H, Unkrich C, Goodrich D, Schaffner M, Stewart A (2008) Understanding uncertainty in distributed flash flood forecasting for semiarid regions. Water Resour Res 44(5):W05S19. doi:10.1029/2007WR005940
Yen BC, Tsai CW-S (2001) On noninertia wave versus diffusion wave in flood routing. J Hydrol 244(1–2):97–104
Acknowledgments
This research work is partly supported by the Taiwan Ministry of Science and Technology under the grants NSC 102-2218-E-009-013-MY3, NSC 102-2221-E-009-072-MY2, MOST 103-2221-E-009-156 and MOST 104-2221-E-009 -148 -MY2. We are grateful to the associate editor and anonymous reviewers for constructive comments that improved the quality of the work.
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Chang, CM., Yeh, HD. Stochastic modeling of variations in stream flow discharge induced by random spatiotemporal fluctuations in lateral inflow rate. Stoch Environ Res Risk Assess 30, 1635–1640 (2016). https://doi.org/10.1007/s00477-015-1170-x
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DOI: https://doi.org/10.1007/s00477-015-1170-x