2017
DOI: 10.1201/9781315275123
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Deterministic Methods in Systems Hydrology

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Cited by 6 publications
(6 citation statements)
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“…The function Lγk (ℓ, t) u H (t) can then be approximated by A k δ (t − τ kg ) where A k and τ kg are, respectively, its area and its centre of gravity. Since Lγk (ℓ, t) u H (t) is the inverse Fourier transform of K (ℓ, Ω) = 1 − H (ℓ, Ω), we have A k = 1 − H (ℓ, 0) = 1 − e −L and, by an expansion of ln [K (ℓ, Ω)] in cumulants [38], τ kg = L/ γ e L − 1 > 0. Injecting these results in Eq.…”
Section: Long Pulse or Adiabatic Limitmentioning
confidence: 99%
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“…The function Lγk (ℓ, t) u H (t) can then be approximated by A k δ (t − τ kg ) where A k and τ kg are, respectively, its area and its centre of gravity. Since Lγk (ℓ, t) u H (t) is the inverse Fourier transform of K (ℓ, Ω) = 1 − H (ℓ, Ω), we have A k = 1 − H (ℓ, 0) = 1 − e −L and, by an expansion of ln [K (ℓ, Ω)] in cumulants [38], τ kg = L/ γ e L − 1 > 0. Injecting these results in Eq.…”
Section: Long Pulse or Adiabatic Limitmentioning
confidence: 99%
“…When the intensity of the secondary lobes is weak enough, the distortion of the transmitted pulse mainly consists in a narrowing. This simply results from the negative value of the second cumulant of H (ℓ, Ω) and the additivity of the cumulants [38]. The narrowing of t/τ p Figure 10: Effect on the transmitted intensity of a frequency detuning of the incident pulse for e(0, t) = e2(0, t).…”
Section: Optimization Of the Fractional Pulse-advancementioning
confidence: 99%
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“…where F −1 designates inverse Fourier transforms. General characteristics of ∆I(L, t) and ∆N (L, t) can be derived by exploiting the remarkable properties of the cumulants [4,50]. The cumulants κ n of the Fourier transform G(Ω) of a real function g(t) are given by the expansion…”
Section: Case Of Weak Modulation Depthsmentioning
confidence: 99%
“…Further, many of the hydrologic routing methods, such as the Muskingum model, and lag and route model (Dooge and O'Kane, 2003) were developed in the pre-computer era for their use in the context of design flood studies required for many river valley projects and these models served their intended purpose by accounting the translation and attenuation characteristics of a flood wave in a lumped manner which are, however, intrinsically accounted in a distributed manner in hydraulic routing methods, such as the four-point finite difference method (NERC, 1975). Therefore, the VPMM method characterized by two parameters, accounting for translation and attenuation of flood wave in a lumped manner at any given instant of time, the linkage of these parameters with the channel and flow characteristics based on hydrodynamic principles, is more desirable than the multi parameter nonlinear routing models developed based on the NLM model of Gill (1977Gill ( , 1978 or its latter variants with more than three parameters.…”
mentioning
confidence: 99%