Research Article | OPEN ACCESS
Rainfall Storm Modeling of Neyman-Scott Rectangular Pulse (NSRP) using Rainfall Cell Intensity Distributions
1Rado Yendra, 1Ari Pani Desvina, 1Rahmadeni, 2Abdul Aziz Jemain, 2Wan Zawiah Wan Zin and 3Ahmad Fudholi
1Department of Mathematics, Faculty of Science and Technology, Universitas Islam Sultan Syarif Kasim (UIN Suska), 28293 Pekanbaru, Riau, Indonesia
2Faculty of Science and Technology, School of Mathematical Sciences
3Solar Energy Research Institute, University Kebangsaan Malaysia, 43600, UKM Bangi,
Selangor, Malaysia
Research Journal of Applied Sciences, Engineering and Technology 2015 9:969-974
Received: May 11, 2015 | Accepted: June 22, 2015 | Published: November 25, 2015
Abstract
In this research a rainfall storm modeling using stochastic model of Nyeman-Scott Rectangular Pulse (NSRP) will be applied using different distributions on the rainfall cell intensity such as exponent, mix exponent, gamma and weibull distributions. The modeling conducted on the rain station of Alosetar uses data taken every hour during a period of 38 years (1971-2008) and it shows that most of the months the rain cells on NSRP model have been distributed to exponential and gamma. Based on parsimoni principles, it can be concluded that NSRP modeling on the rain station of Alorsetar has the intensity of rainfall cells exponentially distributed. Furthermore, in this research also yields a fact that the mix exponent distribution is unfitted for the rainfall cells using NSRP modeling on the rain station of Alorsetar.
Keywords:
Gamma , mix exponent , NSRP, rainfall storm, weibull,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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