Determining probability distribution for streamflow region using partial L-moments

• Main Authors: Zahrahtul Amani, Zakaria, Ani, Shabri, Mohd Khalid, Awang
• Format: Article
• Language: English
• Published: 2017
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.unisza.edu.my/5592/1/FH02-FIK-18-12300.pdf; http://eprints.unisza.edu.my/5592/
• Institution: Universiti Sultan Zainal Abidin

— An attempt has been made to model the annual maximum streamflow, utilizing the guidelines in the regional flood frequency analysis. The Partial L-moments (PL-moments) at several censoring levels are employed to estimate the regional parameters of three extreme value distributions, namely; generalized extreme value (GEV), generalized logistic (GLO) and generalized Pareto (GPA) distributions. A total number of 18 streamflow stations located throughout the eastern region of Peninsular Malaysia were used as a case study. Firstly, the data is screening out for data verification and quality control. Next, identification of homogeneous regions is made using homogeneity test based on PL-moments. The PL - diagram is then constructed and GEV and GLO distributions appeared to be the acceptable distributions for representing the regional data. However, it is relatively difficult to identify a particular distribution that most fitted the regional data.Thus, goodness-of-fit test (Z-test) is used and the result showed that the most appropriate distribution for modeling maximum streamflow in the East Coast of Peninsular Malaysia, based on PL-moments is the GLO distribution.