By Ven Chow, David Maidment, Larry Mays
This article is designed for a hydrologist, civil, or agricultural engineer. The textual content provides an built-in method of hydrology, utilizing the hydrologic/system or keep an eye on quantity as a mechnism for interpreting hydrologic difficulties.
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1, p. 114 (adapted). 1 The wind speed has been measured at 3 m/s at a height of 2 m above a short grass field (zo = 1 cm). Plot the velocity profile and calculate the rates of laminar and turbulent momentum flux at 20 cm, and the turbulent momentum flux at 2 m elevation. 5 m2/s. Solution. The shear velocity is calculated from Eq. 226 m/s. 4 n \ 0 . 2 m. Similarly computed values for other values of z are plotted in Fig. 2. 2 m is given by Eq. 51 X 10"5 m2/s. 2 m. The turbulent momentum flux is given by Eq.
The calculations for succeeding time intervals are similar. 45 in, or 86 percent, appeared as streamflow at the watershed outlet in the eight hours after precipitation began. 86 in was retained in storage on the watershed. In columns 5 and 6 it can be seen that after precipitation ceased, all streamflow was drawn directly from storage. The values of incremental precipitation and streamflow, change in storage, and cumulative storage are plotted in Fig. 2. 5 h, when the maximum storage occurs. 5 h, the reverse occurs and there is a loss in storage.
3) If the initial storage at time 0 is S0, then S 1 = S 0 + h ~ Qu S2 = Si + I2 ~ Q2, and so on. 4) i =i which is the discrete-time continuity equation. Data Representation The functions Q(t) and I(t) are defined on a continuous time domain; that is, a value of the function is defined at every instant of the time domain, and these values can change from one instant to the next [Fig. 1 (a)]. 1 shows two methods by which a continuous time function can be represented on a discrete time domain. The first method [Fig.
Applied Hydrology by Ven Chow, David Maidment, Larry Mays