<br />
<br />1694 OCTOBER 1973 HY10
<br />
<br />of them can be applied only to some special laboratory conditions. When those
<br />equations arc applied to field studies, the chance of success is slim. Encouraged
<br />by the good correlation between total sediment concentration and the dimension-
<br />less effective unit stream power for all the applicable data, an attempt is made
<br />herein to develop a generalized equation from Eq. 23 with I and J relatcd
<br />to some fluid and sediment properties such that the resulting equation may
<br />satisfy the above five requirements. Gilbert's (6) data are not used in obtaining
<br />the general equation because of the lack of temperature measurements. The
<br />general equation is derived from the remaining 463 ..sets of laboratory data shown
<br />in Table 2. '
<br />From Eq. 22, C, is rclatcd to wd/v and V./w. Combinations of different
<br />forms of w d/v and U./w were tried for the determination of I and J in Eq.
<br />23. Eqs. 24 and 25 were selected as the final form to be used for I and J
<br />in Eq. 23:
<br />
<br />I = a I + a,log (Wvd) + o,log ( ~,) ........"......... (24)
<br />
<br />
<br />J=bl+b210g(Wvd)+b,IOg(~') .,.............,.,. (25)
<br />
<br />in which G1, G2, u3, b1, b2, and b) are coefficients.
<br />The coefficients in Eqs. 24 and 25 can be dctermined by considcring log
<br />C,as the depcndcnt variable, and log (wd/v), log (V./w), log (VS/w - V <,S/w),
<br />log (wd/v) log (VS/w - V<,S/w), and log (V./w) log (VS/w - V"S/w)
<br />as independent variables, and running a multiple regression analysis for the
<br />463 sets of data. The equation thus obtained is
<br />
<br />wd V. (. wd
<br />log C, = 5.435 - 0.286 log - - 0.457 log - + 1.799 - 0.409 log -
<br />v w v
<br />
<br />U,) (VS V"S)
<br />- 0.314 log - log - - - ..................... (26)
<br />W it) W
<br />
<br />Eq. 26 has a correlation coefficient of 0.971, and a standard error of estimate
<br />of 0.188 in terms of logarithmic units for the 463 sets of laboratory data. The
<br />absolute values of the standard regression coefficients, which indicate the relative
<br />importance of the independent variables involved (25), are used to compare
<br />the relative importance of log (wd/v), log (V./w), log (VS/w - V"S/w),
<br />log (wd/v) log (VS/w - V"S/w), and log (V./w) log (VS/w - V"S/w).
<br />The standard regression coefficients have a value of -0.191, -0.165, 1.526,
<br />-0.831, and -0.225 for log (wd/v), log (U./w), log (VS/w - V"S/ w), log
<br />(wd/v) log (VS/w - V"S/w), and log (V./w) log (VS/w - V"S/w),
<br />respectively. These statistical results clearly indicate that the dimensionless
<br />effective unit stream power plays a very important role in the determination
<br />of total sediment concentration. The student T-test is used to check the significance
<br />of each regression coefficient in Eq. 26. The value of T is defined as the I
<br />ratio of regression coefficient to its standard error. The T values for the
<br />independent variables log (wd/v), log (V./w), log (VS/w - V"S/w), log (wd/v)
<br />log (VS/w - V"S/w), and log (V./ w) log (VS/w - V"S/ w) are -3.552,
<br />
<br />INCIPIENT MOTION
<br />
<br />,~~'---'-",,'-rr------'---'----'-;-T~
<br />,.,.~ I . ,/
<br />, I: !'[ I ("
<br />~, ~
<br />~" .. 1".
<br />~ ,,'-- -.,-.---'1(-----
<br />. r 1'.)/"1
<br />'.', ,,: ~;;>'- [-
<br />
<br />V"~I'
<br />. . . 'I I: ::::'.:::;:;.....
<br />
<br />.. _.. ",,,I. u,J.""'~''''
<br />
<br />",[",.,.",-".",,,,.,,,,
<br />
<br />FIG. 5.-Comparison Between Measured and Predicted Total Sediment Concentra~
<br />tioos by Eq. 26
<br />
<br />IOS
<br />
<br />
<br />'" \O~
<br />
<br />
<br />'" 103
<br />
<br />UPLANI\TlON
<br />
<br />Q'O.2ft
<br />T-20'C
<br />.d-O.]"'"
<br />od_O.51lYTl
<br />to. d _ 0.7 or..
<br />. d < 1.0 mill
<br />" rl _ 1.~ ",11
<br />.d-1.B,OOl
<br />
<br />\07 . 1
<br />10-) 10.2 10
<br />UNIT STRLAM rOWER, VS. IN FOOT_~OUNOS PER POlINO Pf_R 5[[mIO
<br />
<br />FIG. 6.-Etfect of Variation of Particle Size on Predicted Total Sediment Concentration
<br />by Eq. 26
<br />
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