Low flow frequency analysis on selected rivers in malaysia
Prediction of low flow of a river in magnitude as well as in frequency is necessary for the planning and design of water resource projects since low flow affects significantly in water supply, water quality and river ecological status. A number of probability distributions are used to estimate low...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Cafet Innova Technical Society
2014
|
| Subjects: | |
| Online Access: | http://eprints.intimal.edu.my/995/1/International%20Journal%20of%20Earth%20Sciences%20and%20Engineering.pdf http://eprints.intimal.edu.my/995/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Prediction of low flow of a river in magnitude as well as in frequency is necessary for the planning and
design of water resource projects since low flow affects significantly in water supply, water quality and river
ecological status. A number of probability distributions are used to estimate low flow discharges with various return
periods of extreme hydrologic events. Among others, Gamma, Gumbel, Lognormal with 2 and 3 parameters, LogPearson
Type III and Weibull distributions are used in this study. The objectives of this study are: (i) to carry out the
low flow frequency analysis with the above mentioned probability distributions to selected rivers in Malaysia, (ii) to
identify the most appropriate probability distribution for the basins under study and (iii) to determine the low flow
for selected return periods. Frequency analysis is carried out using frequency factor method to determine annual
minimum low flow. The two most commonly used tests of goodness of fit namely Chi-Square (CS) and
Kolmogorov-Smirnov (KS) tests are applied to the data series to check the fit of probability distributions used in this
study. Based on the analysis of statistical tests, Gamma, 2P and 3P Lognormal and Log-Pearson Type III
distributions fit well to the Kelantan river. Gamma and Lognormal 3P distributions fit well to the Johor river.
Lognormal 2P distribution is the best fit to the Muda river followed by Lognormal 3P distribution. In overall, 2P and
3P Lognormal distributions are recommended in estimation of low flow discharges for all the rivers under study
which can be used in water quality and quantity management at gauged and ungagged sites. |
|---|