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<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 />