Selecting probability distribution for regions of Peninsular Malaysia streamflow

Abstract

Abstract. Extreme flood event are among environmental events with the most disastrous consequences for human society. This paper deals with the identification of homogeneous regions through important steps in the regional frequency analysis. Streamflow totals measured at 70 stations over 1960-2009. The cluster analysis uses kriging technique and shows three regions of streamflow in Peninsular Malaysia. The homogeneity test of L-moments shows that some of these regions are homogeneous. Using the goodness-of-fit test, Z-Dist, the regional frequency distribution functions for each group are then selected. In this study, five three parameter distributions generalized logistic (GLO), generalized extreme-value (GEV), generalized pareto distributions (GPA), Pearson Type III (P3), and three parameter Lognormal (LN3) were fitted to the three homogeneous regions.

Flood Frequency Analysis using L-Moment For Segamat River

“…The identification of an effective probability distribution to characterize the FFA at a given location is often crucial. The methods that are typically used for parameter estimation of the distribution are the maximum likelihood estimation and the L-moment method [9,10,11]. Many studies have explored and applied the L-moment approach to FFA since 1990, including hydrological studies [12].…”