Programme OS1s Hydrological diagnosis
and forecasting: Advanced computational approaches abstract 318
An investigating the effects of generalized skew coefficient(third
moment ) on instantaneous annual maximum discharges.
(case study : Dez basin in south western of Iran)
Author(s): Hydrology
Author(s): Nasser Tahmasebi(1) , Mohammad Mahdavi(2), Frood Sharifi(3), Hamid Pezeshk(4), Sayed
Mahmood Reza Tabatabaei(5)
(1) Nasser , Tahmasebi , Assistant professor in university of Lorestan ,
Faculty of Agricultural
(2) Mohammad , Mahdavi , professor in university of Tehran , Faculty of Natural
Resources .
(3) Forood , sharifi , Assistant professor in soi
Keyword(s): Generalized
coefficient ,Hydrometeric station skewness , Instantanous maximum discharge , Dez busin .
Article:
Poster:
Session: OS1s Hydrological diagnosis
and forecasting: Advanced computational approaches
Abstract Abstract
One of the
methods of reduce flood hazard is correct estimation discharge designing of water structures , because
without computation of estimated discharge water structures is destroy by flood occurance and increase
flood hazard power . use of masurment data in gauging stations in the area is the best method for
estimation discharge flood design . Also computation of generalized coefficient skewness of masurmented
data decrease estimated error and water structures dimensions improve designing .
The study is Located
47 Degree and 39 Minute to 50 Degree and 21 minute in Eastern Langth and 31 Degree and 15 Minute
to 34 Degree and 33 Minute in Northern Latitude . selected 24 gauging station and then The test of outlier
was conducted by using statistical parameters of peak flow in the hydrometric stations , and it was
detemined that there are no outlier points among data . SO completing and lengthening for common
statical period performed . Then statistical distribution of aforementioned data was fitted . Using griding
method , the centeriod of high area of each hydrometric station was determined eneralized skewness
coefficients of points then were computed using the unbiased skewness coefficient , the weight coefficient
of data and the distance of each hydrometric gauge from centeriod of sub - basin . Spline ( Smooth plate
Line ) method was applied to generalize the skewness with the mean square error of %34 . The results
show that the range of percentage of differences between unbiased and generalized skewnesses are from
58% to 137%. The observed data have been fitted well with the normal distribution . using this method
results less differences between observed and estimated values of peak discharges as where generalized
skewnesses were used , the differences of peaks for return periods of 2 , 100 and 1000 years , were %12 ,
%77 and %180 respectively . It can be concluded that the fitness of selected probability distribution with
the data is quite best using the generalized skewness in estimation of peak discharge .