An analysis of annual maximum streamflows in Terengganu, Malaysia using TL-moments approach

• Published in: Theoretical and applied climatology 2013-02, Vol.111 (3-4), p.649-663
• Main Authors: Ahmad, Ummi Nadiah, Shabri, Ani, Zakaria, Zahrahtul Amani
• Format: Article
• Language: English
• Subjects: Analysis; Aquatic Pollution; Atmospheric Protection/Air Quality Control/Air Pollution; Atmospheric Sciences; Climate science; Climatology; Creeks & streams; Earth and Environmental Science; Earth Sciences; Earth, ocean, space; Exact sciences and technology; Floods; Hydrologic data; Hydrology; Hydrology. Hydrogeology; Monte Carlo method; Monte Carlo simulation; Original Paper; Probability distribution; Stream discharge; Stream flow; Streamflow; Waste Water Technology; Water Management; Water Pollution Control
• ISSN: 0177-798X; 1434-4483
• DOI: 10.1007/s00704-012-0679-x

TL-moments approach has been used in an analysis to determine the best-fitting distributions to represent the annual series of maximum streamflow data over 12 stations in Terengganu, Malaysia. The TL-moments with different trimming values are used to estimate the parameter of the selected distributions namely: generalized pareto (GPA), generalized logistic, and generalized extreme value distribution. The influence of TL-moments on estimated probability distribution functions are examined by evaluating the relative root mean square error and relative bias of quantile estimates through Monte Carlo simulations. The boxplot is used to show the location of the median and the dispersion of the data, which helps in reaching the decisive conclusions. For most of the cases, the results show that TL-moments with one smallest value was trimmed from the conceptual sample (TL-moments (1,0)), of GPA distribution was the most appropriate in majority of the stations for describing the annual maximum streamflow series in Terengganu, Malaysia.