Regional frequency analysis with L-Moments of extremes rainfall in Peninsular Malaysia
- 28 June 2018
- conference paper
- Published by AIP Publishing in AIP Conference Proceedings
- Vol. 1974 (1) , 040018
Abstract
Extreme rainfall may cause problems to the social, environmental and ecology. In this paper, we focused on regional frequency analysis of extremes rainfall based on 3-hourly rainfall records by TRMM 3B42 and raingauge data between 1998-2012 at 30 stations of Peninsular Malaysia, Malaysia. Based on the L-Moments method, we developed the regional extreme rainfall frequency analysis in measuring discordancy, regional homogeneity and the goodness-of-fit test to determine the best regional parent distribution. The Wards method is presented to identify the homogenous regions in Peninsular Malaysia and produce 4 acceptably homogeneous regions that had been tested by the L-Moments method. The results show that the L-Moments method is good in term of performance, simplicity and robustness.Keywords
This publication has 10 references indexed in Scilit:
- Regional Rainfall Frequency Analysis for the Luanhe Basin – by Using L-moments and Cluster TechniquesAPCBEE Procedia, 2012
- Regional daily maximum rainfall estimation for Cekerek Watershed by L‐momentsMeteorological Applications, 2009
- Frequency analysis of extreme rainfall using L‐momentIrrigation and Drainage, 2003
- ADAPTING LOW-FLOW FREQUENCY ANALYSIS FOR USE WITH SHORT-PERIOD RECORDSWater and Environment Journal, 2003
- Linking streamflow drought to the occurrence of atmospheric circulation patternsHydrological Sciences Journal, 1999
- An Analysis of Regional and Intra-annual Precipitation Variability over Iran using Multivariate Statistical MethodsTheoretical and Applied Climatology, 1998
- Regional Frequency Analysis1997
- Regional Precipitation Quantile Values for the Continental United States Computed from L-MomentsJournal of Climate, 1993
- Identification of homogeneous regions for the purposes of regionalisationJournal of Hydrology, 1990
- Probability weighted moments: Definition and relation to parameters of several distributions expressable in inverse formWater Resources Research, 1979