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<br />on1354 <br /> 25 <br /> n ( - 2 1/2 <br /> E 0.-0) <br /> i=l 1 <br />af= n <br /> t (S._S}2 <br /> i=l 1 <br /> n (S.-S)2 1/2 <br /> E <br /> i=l 1 <br />af = <br /> n (Oi-0)2 <br /> E <br /> i=l <br /> <br />-2 (",2 <br />when E(O.-O) < E S.-S} <br />1 - 1 <br /> <br />otherwise. <br /> <br />where <br /> <br />s. = <br />1 <br />O. = <br />1 <br /> <br />simulated hydrograph ordinate at time i <br />observed hydrograph ordinate at time i <br /> <br />0, S = <br /> <br />mean values of the observed and simulated hydrograph <br />ordi nate <br /> <br />And, R is the linear correlation coefficient between the simulated and <br /> <br />observed hydrographs and defined as: <br /> <br /> n n n <br /> N E O.S. - ( E Oi)( E s. ) <br /> i=l 1 1 i=l i=l 1 <br />R = <br /> n 2 n 0.)2] [ll n 2 n S.)2] }1/2 <br />{ [N E O. - ( E E S. - ( E <br /> i=l 1 i =1 1 i=l 1 i=l 1 <br /> <br />Ratings for this statistic were suggested by Sarma and are given in <br /> <br />Table II-3. <br />3) The Special Correlation Coefficient (RS) as defined by Sarma <br />(79). This coefficient is developed from the sum of the squared devia- <br />tions of the simulated and observed values. It is defined as: <br /> <br /> n n S~ <br />2 E O.S. - E <br /> i =1 1 1 i =1 1 <br />RS = <br /> n O~ <br /> E <br /> i=l 1 <br />