Statistical Distribution of Rainfall in Kurdistan-Iraq Region
DOI:
https://doi.org/10.23851/mjs.v30i4.662Keywords:
Gamma, Weibul and Earlang distribution, Kolmogrove-Semirnov, Anderson-Darling and Chi-Square testAbstract
Study the statistical distribution for rainfall is important to know the behaviour of the rainfall series and to know the most frequently rainfall amount in each month. Five statistical distribution were applied on Sulaimani, Erbil and Duhok rainfall series for the period (1941-2017) except Duhok (1944-2017). These distributions were Gamma(3P), Weibul(3P), Earlang (3P), Normal and General extreme value. Kolmogrove-Semirnov, Anderson-Darling and Chi-Square goodness of fit test were used to know the best fit distribution from these five distributions.Downloads
References
S. Lavanya1, M. Radha1 and U, Arulanandu ''Statistical Distribution of Seasonal Rainfall Data for Rainfall Pattern inTNAU1 Station Coimbatore, Tamil Nadu, India'', Int.J.Curr.Microbiol.App.Sci volume7 issue4,P. 3053-3062,2018. [CrossRef]
N. Vivekanandan, ''Rainfall Frequency analysis using L-Moments of probability Distributions'', International Journal of computer and application and engineering technology, volume 3-issue 3,p.248-256, July 2014.
M. Amin., M Rizwan., A. Alazba, ''A best-fit probability distribution for the estimation of rainfall in northern regions of Pakistan'', Open Life Science, P.432-435, 2016. [CrossRef]
N. O Alghazali. and D. A. Alawadi, ''Fitting Statistical Distributions of Monthly Rainfall for Some Iraqi Stations'', Civil and Environmental Research, ISSN 2224-5790, Vol.6, No.6, 2014.
T.M. Mohamed and A. A. Ibrahim, ''Fitting Probability Distributions of Annual Rainfall in Sudan '', Journal of Engineering and Computer Sciences (JECS), Vol. 17, No.2, P. 34-39, 2016.
A., T.A. Salama Gado and B. A., Zeidan, ''On selection of probability distributions for annual extreme rainfall series in Egypt'', Twenty-first International Water Technology Conference, P.383, 2018.
C. Walck, ''Hand-Book on Statistical Distribution for Experimentalists'', University of Stockholm,2007.
C. Forbes, M. Evans, N. Hastings & B. Peacock, '' Statistical Distributions'', John Wiley & Sons, Inc., Hoboken, New Jersey, 2011. [CrossRef]
I. Pobočíkováa, Z. Sedliačkováa, M. Michalkováa, ''Application of Four Probability Distributions for Wind Speed Modeling'', Procedia Engineering journal, p 713 - 718, 2017. [CrossRef]
P. Sahoo, ''Probability and Mathematical Statistics'', University of Louisville,2013
C. Team, ''Handbook on Probability Distributions'', LATEXpowered, 2010.
W.J. DeCoursey, ''Statistics and Probability for Engineering Applications'', Elsevier,2003. [CrossRef]
M. Guizani, A. Rayes, B. Khan, A. Al-Fuqaha, ''Network Modeling and Simulation Practical Perspective'', John Wiley & Sons Ltd, 2010. [CrossRef]
V. YILMAZ, H. E. ÇELİK, ''A Statistical Approach to Estimate the Wind Speed Distribution: the Case of Geliboluregion'', Doğuş Üniversitesi journal, 9 (1), 122-132, 2008. [CrossRef]
Downloads
Key Dates
Published
Issue
Section
License
Articles accepted for publication in Al-Mustansiriyah Journal of Science (MJS) are protected under the Creative Commons Attribution 4.0 International License (CC BY-NC). Authors of accepted articles are requested to sign a copyright release form prior to their article being published. All authors must agree to the submission, sign copyright release forms, and agree to be included in any correspondence between MJS and the authors before submitting a work to MJS. For personal or educational use, permission is given without charge to print or create digital copies of all or portions of a MJS article. However, copies must not be produced or distributed for monetary gain. It is necessary to respect the copyright of any parts of this work that are not owned by MJS.
How to Cite
