Density-based global sensitivity analysis of sheet-flow travel time: Kinematic wave-based formulations
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Despite advancements in developing physics-based formulations to estimate the sheet-flow travel time (), the quantification of the relative impacts of influential parameters on has not previously been considered. In this study, a brief review of the physics-based formulations to estimate including kinematic wave (K-W) theory in combination with Manning’s roughness (K-M) and with Darcy-Weisbach friction formula (K-D) over single and multiple planes is provided. Then, the relative significance of input parameters to the developed approaches is quantified by a density-based global sensitivity analysis (GSA). The performance of K-M considering zero-upstream and uniform flow depth (so-called K-M1 and K-M2), and K-D formulae to estimate the over single plane surface were assessed using several sets of experimental data collected from the previous studies. The compatibility of the developed models to estimate over multiple planes considering temporal rainfall distributions of Natural Resources Conservation Service, NRCS (I, Ia, II, and III) are scrutinized by several real-world examples. The results obtained demonstrated that the main controlling parameters of through K-D and K-M formulae are the length of surface plane (mean sensitivity index = 0.72) and flow resistance (mean = 0.52), respectively. Conversely, the flow temperature and initial abstraction ratio of rainfall have the lowest influence on (mean is 0.11 and 0.12, respectively). The significant role of the flow regime on the estimation of over a single and a cascade of planes are also demonstrated. Results reveal that the K-D formulation provides more precise over the single plane surface with an average percentage of error, APE equal to 9.23% (the APE for K-M1 and K-M2 formulae were 13.8%, and 36.33%, respectively). The superiority of Manning-jointed formulae in estimation of is due to the incorporation of effects from different flow regimes as flow moves downgradient that is affected by one or more factors including high excess rainfall intensities, low flow resistance, high degrees of imperviousness, long surfaces, steep slope, and domination of rainfall distribution as NRCS Type I, II, or III.
© 2017 Elsevier. This manuscript version is made available under the CC-BY-NC-ND 4.0 license: http://creativecommons.org/licenses/by-nc-nd/4.0/ This author accepted manuscript is made available following 12 month embargo from date of publication (February 2018) in accordance with the publisher’s archiving policy