Research Journal of Environmental Sciences
1819-3412
2152-8238
Academic Journals Inc.
10.3923/rjes.2009.62.70
Haghighat Jou
P.
Akhoond-Ali
A.M.
Behnia
A.
Chinipardaz
R.
1
2009
3
1
The main purpose of this study is to compare parametric
density functions with nonparametric Fourier series to estimate annual
precipitation for five old rain gauge stations (Bushehr, Isfahan, Meshed,
Tehran and Jask) in Iran. The parametric density functions include normal,
two and three parameters log-normal, two parameter gamma, Pearson and
log-Pearson type 3 and Gumbel extreme value type 1. The nonparametric
approach is Fourier series method. Annual precipitation data from the
mentioned stations were fitted to all density functions including Fourier
series. Results showed that the Fourier series predict annual precipitation
much better than other parametric methods. Thus, the Fourier series can
be used as a better alternative approach for precipitation frequency analysis.]]>
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