An outlier is a very large or very small value that does not follow the general trend of a given
data set. Outliers in rainfall data cause uncertainty in water engineering studies and …

Values which are unusually large or small with respect to the rest of the values in dataset are
called outliers. The outliers affect on estimation of parameters of distribution, evaluation of …

In this paper the estimation of high return period quantiles of the flood peak and volume in
the Kolubara River basin are carried out. Estimation of flood frequencies is carried out on a …

More than half of annual rainfall occurs in summer season in Korea due to its climate
condition and geographical location. A frequency analysis is mostly adopted for designing …

Hydrologic processes such as floods or droughts have a random manner in space and time.
The statistical treatments are the important methods for hydrologic data averaged over long …

Flood characteristics are required to solve several water–engineering problems. Traditional
flood frequency analysis in volves the as sumption of homogeneity of the flood distribution …

강우는 수자원 확보 측면에서 근원이 되는 요소이다. 그러므로 정확한 확률강우량 산정은
미래의 가용 수자원량을 예측하는데 있어 중요한 사항중 하나이며 무엇보다 신중한 결정이 …

The Muskingum-based (MK-based) distributions and their probability weighted moments
(PWMs) have been used for frequency calculation of hydrological data that contain zero …

The k-day extreme precipitation depths (k= 1, 2, 3, 4, 5, 7, 10, 15, 20, 25 and 30) at the
climatological network of Belgium (165 stations) are analysed to assess the regional general …

One of the conventional problems in frequency analysis and prediction of various hydrologic
events is lack of long time records of such events in gauging stations. This problem together …