COMPARISON OF FLOOD DISTRIBUTION MODELS FOR JOHOR RIVER BASIN

Authors

  • Ahmad Zuhdi Ismail Faculty of Civil Engineering, Resource Sustainability Research Alliance, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Zulkifli Yusop Faculty of Civil Engineering, Resource Sustainability Research Alliance, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Zainab Yusof Faculty of Civil Engineering, Resource Sustainability Research Alliance, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia

DOI:

https://doi.org/10.11113/jt.v74.4881

Keywords:

General extreme value distribution, goodness of fit test, average recurrent interval, annual peak flow, Johor River basin

Abstract

One of the most useful and commonly used parameters to describe a flood event is peak flow or annual maximum flood. In many localities, storm water control facilities are required and their sizes are determined based on certain peak flow magnitude. This study aimed at estimating the average recurrent interval (ARI) of flood event for Johor River basin based on the distributions of annual peak flow. The analysis used annual maximum flow data from July 1965 to June 2010 recorded at the Rantau Panjang gauging station. Five distribution models, namely Generalized Extreme Value (GEV), Lognormal, Pearson 5, Weibull and Gamma were tested. The goodness fit test (GOF) of Kolmogorov-Smirnov (K-S) was used to evaluate and estimate the best-fitted distribution. The results reaffirm the current practice that GEV is still the best-fitted distribution model for fitting the annual peak flow data. On the other hand, gamma distribution showed the poorest result.

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Published

2015-06-25

How to Cite

COMPARISON OF FLOOD DISTRIBUTION MODELS FOR JOHOR RIVER BASIN. (2015). Jurnal Teknologi, 74(11). https://doi.org/10.11113/jt.v74.4881